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Sample records for enhances standards-compatible geospatial

  1. Grid computing enhances standards-compatible geospatial catalogue service

    NASA Astrophysics Data System (ADS)

    Chen, Aijun; Di, Liping; Bai, Yuqi; Wei, Yaxing; Liu, Yang

    2010-04-01

    A catalogue service facilitates sharing, discovery, retrieval, management of, and access to large volumes of distributed geospatial resources, for example data, services, applications, and their replicas on the Internet. Grid computing provides an infrastructure for effective use of computing, storage, and other resources available online. The Open Geospatial Consortium has proposed a catalogue service specification and a series of profiles for promoting the interoperability of geospatial resources. By referring to the profile of the catalogue service for Web, an innovative information model of a catalogue service is proposed to offer Grid-enabled registry, management, retrieval of and access to geospatial resources and their replicas. This information model extends the e-business registry information model by adopting several geospatial data and service metadata standards—the International Organization for Standardization (ISO)'s 19115/19119 standards and the US Federal Geographic Data Committee (FGDC) and US National Aeronautics and Space Administration (NASA) metadata standards for describing and indexing geospatial resources. In order to select the optimal geospatial resources and their replicas managed by the Grid, the Grid data management service and information service from the Globus Toolkits are closely integrated with the extended catalogue information model. Based on this new model, a catalogue service is implemented first as a Web service. Then, the catalogue service is further developed as a Grid service conforming to Grid service specifications. The catalogue service can be deployed in both the Web and Grid environments and accessed by standard Web services or authorized Grid services, respectively. The catalogue service has been implemented at the George Mason University/Center for Spatial Information Science and Systems (GMU/CSISS), managing more than 17 TB of geospatial data and geospatial Grid services. This service makes it easy to share and

  2. The new geospatial tools: global transparency enhancing safeguards verification

    SciTech Connect

    Pabian, Frank Vincent

    2010-09-16

    This paper focuses on the importance and potential role of the new, freely available, geospatial tools for enhancing IAEA safeguards and how, together with commercial satellite imagery, they can be used to promote 'all-source synergy'. As additional 'open sources', these new geospatial tools have heralded a new era of 'global transparency' and they can be used to substantially augment existing information-driven safeguards gathering techniques, procedures, and analyses in the remote detection of undeclared facilities, as well as support ongoing monitoring and verification of various treaty (e.g., NPT, FMCT) relevant activities and programs. As an illustration of how these new geospatial tools may be applied, an original exemplar case study provides how it is possible to derive value-added follow-up information on some recent public media reporting of a former clandestine underground plutonium production complex (now being converted to a 'Tourist Attraction' given the site's abandonment by China in the early 1980s). That open source media reporting, when combined with subsequent commentary found in various Internet-based Blogs and Wikis, led to independent verification of the reporting with additional ground truth via 'crowdsourcing' (tourist photos as found on 'social networking' venues like Google Earth's Panoramio layer and Twitter). Confirmation of the precise geospatial location of the site (along with a more complete facility characterization incorporating 3-D Modeling and visualization) was only made possible following the acquisition of higher resolution commercial satellite imagery that could be correlated with the reporting, ground photos, and an interior diagram, through original imagery analysis of the overhead imagery.

  3. Geospatial Technologies as a Vehicle for Enhancing Graduate Education and Promoting the Value of Geography

    ERIC Educational Resources Information Center

    Oberle, Alex P.; Joseph, Sue A.; May, David W.

    2010-01-01

    Geospatial technologies (GSTs), such as geographic information systems, global positioning systems and remote sensing, present an avenue for expanding the already strong interdisciplinary nature of geography. This paper discusses how GSTs served as a common thread for a crosscutting faculty institute that was established to enhance graduate…

  4. Data Democracy and Decision Making: Enhancing the Use and Value of Geospatial Data and Scientific Information

    NASA Astrophysics Data System (ADS)

    Shapiro, C. D.

    2014-12-01

    Data democracy is a concept that has great relevance to the use and value of geospatial data and scientific information. Data democracy describes a world in which data and information are widely and broadly accessible, understandable, and useable. The concept operationalizes the public good nature of scientific information and provides a framework for increasing benefits from its use. Data democracy encompasses efforts to increase accessibility to geospatial data and to expand participation in its collection, analysis, and application. These two pillars are analogous to demand and supply relationships. Improved accessibility, or demand, includes increased knowledge about geospatial data and low barriers to retrieval and use. Expanded participation, or supply, encompasses a broader community involved in developing geospatial data and scientific information. This pillar of data democracy is characterized by methods such as citizen science or crowd sourcing.A framework is developed for advancing the use of data democracy. This includes efforts to assess the societal benefits (economic and social) of scientific information. This knowledge is critical to continued monitoring of the effectiveness of data democracy implementation and of potential impact on the use and value of scientific information. The framework also includes an assessment of opportunities for advancing data democracy both on the supply and demand sides. These opportunities include relatively inexpensive efforts to reduce barriers to use as well as the identification of situations in which participation can be expanded in scientific efforts to enhance the breadth of involvement as well as expanding participation to non-traditional communities. This framework provides an initial perspective on ways to expand the "scientific community" of data users and providers. It also describes a way forward for enhancing the societal benefits from geospatial data and scientific information. As a result, data

  5. Further Enhancements of the Geospatial Interface to the Biological and Chemical Oceanography Data Management System

    NASA Astrophysics Data System (ADS)

    Groman, R. C.; Allison, M. D.; Chandler, C. L.; Glover, D. M.; Wiebe, P. H.; Gegg, S. R.

    2009-12-01

    The Biological and Chemical Oceanography Data Management Office (BCO-DMO) was created to serve scientific investigators funded by the National Science Foundation’s Biological and Chemical Oceanography Sections as a location where marine biogeochemical, ecological and oceanographic data and information developed in the course of scientific research can easily be stored, disseminated, and protected, on short and intermediate time-frames. Our main objective is to support the scientific community through improved accessibility to ocean science data. The BCO-DMO manages existing and new data sets from individual scientific investigators and collaborative groups of investigators, and makes these available via any standard Web browser. This presentation addresses the current status of our implementation of the University of Minnesota’s OGC-compliant MapServer interface to these data. Recently added features or changes include additional mapping and display options, metadata search options, and support for KML (Google Earth) output files. We have made additions to the metadata database to support these and other changes and to enhance our interoperability features. Development of the MapServer interface to the BCO-DMO data collection provides a geospatial context in which to discover data sets that are of potential interest.

  6. GEOSPATIAL QA

    EPA Science Inventory

    Geospatial Science is increasingly becoming an important tool in making Agency decisions. Quality Control and Quality Assurance are required to be integrated during the planning, implementation and assessment of geospatial databases, processes and products. In order to ensure Age...

  7. Geospatial Technology

    ERIC Educational Resources Information Center

    Reed, Philip A.; Ritz, John

    2004-01-01

    Geospatial technology refers to a system that is used to acquire, store, analyze, and output data in two or three dimensions. This data is referenced to the earth by some type of coordinate system, such as a map projection. Geospatial systems include thematic mapping, the Global Positioning System (GPS), remote sensing (RS), telemetry, and…

  8. Enhancing the Teaching of Digital Processing of Remote Sensing Image Course through Geospatial Web Processing Services

    NASA Astrophysics Data System (ADS)

    di, L.; Deng, M.

    2010-12-01

    Remote sensing (RS) is an essential method to collect data for Earth science research. Huge amount of remote sensing data, most of them in the image form, have been acquired. Almost all geography departments in the world offer courses in digital processing of remote sensing images. Such courses place emphasis on how to digitally process large amount of multi-source images for solving real world problems. However, due to the diversity and complexity of RS images and the shortcomings of current data and processing infrastructure, obstacles for effectively teaching such courses still remain. The major obstacles include 1) difficulties in finding, accessing, integrating and using massive RS images by students and educators, and 2) inadequate processing functions and computing facilities for students to freely explore the massive data. Recent development in geospatial Web processing service systems, which make massive data, computing powers, and processing capabilities to average Internet users anywhere in the world, promises the removal of the obstacles. The GeoBrain system developed by CSISS is an example of such systems. All functions available in GRASS Open Source GIS have been implemented as Web services in GeoBrain. Petabytes of remote sensing images in NASA data centers, the USGS Landsat data archive, and NOAA CLASS are accessible transparently and processable through GeoBrain. The GeoBrain system is operated on a high performance cluster server with large disk storage and fast Internet connection. All GeoBrain capabilities can be accessed by any Internet-connected Web browser. Dozens of universities have used GeoBrain as an ideal platform to support data-intensive remote sensing education. This presentation gives a specific example of using GeoBrain geoprocessing services to enhance the teaching of GGS 588, Digital Remote Sensing taught at the Department of Geography and Geoinformation Science, George Mason University. The course uses the textbook "Introductory

  9. Geospatial Authentication

    NASA Technical Reports Server (NTRS)

    Lyle, Stacey D.

    2009-01-01

    A software package that has been designed to allow authentication for determining if the rover(s) is/are within a set of boundaries or a specific area to access critical geospatial information by using GPS signal structures as a means to authenticate mobile devices into a network wirelessly and in real-time. The advantage lies in that the system only allows those with designated geospatial boundaries or areas into the server.

  10. Geospatial Authentication

    NASA Technical Reports Server (NTRS)

    Lyle, Stacey D.

    2009-01-01

    A software package that has been designed to allow authentication for determining if the rover(s) is/are within a set of boundaries or a specific area to access critical geospatial information by using GPS signal structures as a means to authenticate mobile devices into a network wirelessly and in real-time has been developed. The advantage lies in that the system only allows those with designated geospatial boundaries or areas into the server. The Geospatial Authentication software has two parts Server and Client. The server software is a virtual private network (VPN) developed in Linux operating system using Perl programming language. The server can be a stand-alone VPN server or can be combined with other applications and services. The client software is a GUI Windows CE software, or Mobile Graphical Software, that allows users to authenticate into a network. The purpose of the client software is to pass the needed satellite information to the server for authentication.

  11. Borderless Geospatial Web (bolegweb)

    NASA Astrophysics Data System (ADS)

    Cetl, V.; Kliment, T.; Kliment, M.

    2016-06-01

    The effective access and use of geospatial information (GI) resources acquires a critical value of importance in modern knowledge based society. Standard web services defined by Open Geospatial Consortium (OGC) are frequently used within the implementations of spatial data infrastructures (SDIs) to facilitate discovery and use of geospatial data. This data is stored in databases located in a layer, called the invisible web, thus are ignored by search engines. SDI uses a catalogue (discovery) service for the web as a gateway to the GI world through the metadata defined by ISO standards, which are structurally diverse to OGC metadata. Therefore, a crosswalk needs to be implemented to bridge the OGC resources discovered on mainstream web with those documented by metadata in an SDI to enrich its information extent. A public global wide and user friendly portal of OGC resources available on the web ensures and enhances the use of GI within a multidisciplinary context and bridges the geospatial web from the end-user perspective, thus opens its borders to everybody. Project "Crosswalking the layers of geospatial information resources to enable a borderless geospatial web" with the acronym BOLEGWEB is ongoing as a postdoctoral research project at the Faculty of Geodesy, University of Zagreb in Croatia (http://bolegweb.geof.unizg.hr/). The research leading to the results of the project has received funding from the European Union Seventh Framework Programme (FP7 2007-2013) under Marie Curie FP7-PEOPLE-2011-COFUND. The project started in the November 2014 and is planned to be finished by the end of 2016. This paper provides an overview of the project, research questions and methodology, so far achieved results and future steps.

  12. Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure

    SciTech Connect

    Yue, Peng; Gong, Jianya; Di, Liping; He, Lianlian; Wei, Yaxing

    2011-04-01

    Abstract A geospatial catalogue service provides a network-based meta-information repository and interface for advertising and discovering shared geospatial data and services. Descriptive information (i.e., metadata) for geospatial data and services is structured and organized in catalogue services. The approaches currently available for searching and using that information are often inadequate. Semantic Web technologies show promise for better discovery methods by exploiting the underlying semantics. Such development needs special attention from the Cyberinfrastructure perspective, so that the traditional focus on discovery of and access to geospatial data can be expanded to support the increased demand for processing of geospatial information and discovery of knowledge. Semantic descriptions for geospatial data, services, and geoprocessing service chains are structured, organized, and registered through extending elements in the ebXML Registry Information Model (ebRIM) of a geospatial catalogue service, which follows the interface specifications of the Open Geospatial Consortium (OGC) Catalogue Services for the Web (CSW). The process models for geoprocessing service chains, as a type of geospatial knowledge, are captured, registered, and discoverable. Semantics-enhanced discovery for geospatial data, services/service chains, and process models is described. Semantic search middleware that can support virtual data product materialization is developed for the geospatial catalogue service. The creation of such a semantics-enhanced geospatial catalogue service is important in meeting the demands for geospatial information discovery and analysis in Cyberinfrastructure.

  13. Maps and geospatial data for the Shorty’s Island and Myrtle Bend substrate enhancement pilot projects, Kootenai River near Bonners Ferry, Idaho, 2014

    USGS Publications Warehouse

    Fosness, Ryan L.

    2014-01-01

    This report presents the methods used to develop georeferenced portable document format maps and geospatial data that describe spawning locations and physical habitat characteristics (including egg mat locations, bathymetry, surficial sediment facies, and streamflow velocity) within the substrate enhancement pilot project study area. The results are presented as two maps illustrating the physical habitat characteristics along with proposed habitat enhancement areas, aerial imagery, and hydrography. The results of this study will assist researchers, policy makers, and management agencies in deciding the spatial location and extent of the substrate enhancement pilot project.

  14. EPA Geospatial Applications

    EPA Pesticide Factsheets

    EPA has developed many applications that allow users to explore and interact with geospatial data. This page highlights some of the flagship geospatial web applications but these represent only a fraction of the total.

  15. EPA GEOSPATIAL QUALITY COUNCIL

    EPA Science Inventory

    The EPA Geospatial Quality Council (previously known as the EPA GIS-QA Team - EPA/600/R-00/009 was created to fill the gap between the EPA Quality Assurance (QA) and Geospatial communities. All EPA Offices and Regions were invited to participate. Currently, the EPA Geospatial Q...

  16. A Python Geospatial Language Toolkit

    NASA Astrophysics Data System (ADS)

    Fillmore, D.; Pletzer, A.; Galloy, M.

    2012-12-01

    The volume and scope of geospatial data archives, such as collections of satellite remote sensing or climate model products, has been rapidly increasing and will continue to do so in the near future. The recently launched (October 2011) Suomi National Polar-orbiting Partnership satellite (NPP) for instance, is the first of a new generation of Earth observation platforms that will monitor the atmosphere, oceans, and ecosystems, and its suite of instruments will generate several terabytes each day in the form of multi-spectral images and derived datasets. Full exploitation of such data for scientific analysis and decision support applications has become a major computational challenge. Geophysical data exploration and knowledge discovery could benefit, in particular, from intelligent mechanisms for extracting and manipulating subsets of data relevant to the problem of interest. Potential developments include enhanced support for natural language queries and directives to geospatial datasets. The translation of natural language (that is, human spoken or written phrases) into complex but unambiguous objects and actions can be based on a context, or knowledge domain, that represents the underlying geospatial concepts. This poster describes a prototype Python module that maps English phrases onto basic geospatial objects and operations. This module, along with the associated computational geometry methods, enables the resolution of natural language directives that include geographic regions of arbitrary shape and complexity.

  17. PLANNING QUALITY IN GEOSPATIAL PROJECTS

    EPA Science Inventory

    This presentation will briefly review some legal drivers and present a structure for the writing of geospatial Quality Assurance Projects Plans. In addition, the Geospatial Quality Council geospatial information life-cycle and sources of error flowchart will be reviewed.

  18. GEOSPATIAL QUALITY COUNCIL

    EPA Science Inventory

    Geospatial Science is increasingly becoming an important tool in making Agency decisions. QualIty Control and Quality Assurance are required to be integrated during the planning, implementation and assessment of geospatial databases, processes and products. In order to ensure Age...

  19. UASs for geospatial data

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Increasingly, consumer organizations, businesses, and academic researchers are using UAS to gather geospatial, environmental data on natural and man-made phenomena. These data may be either remotely sensed or measured directly (e. g., sampling of atmospheric constituents). The term geospatial data r...

  20. The Virginia Geocoin Adventure: An Experiential Geospatial Learning Activity

    ERIC Educational Resources Information Center

    Johnson, Laura; McGee, John; Campbell, James; Hays, Amy

    2013-01-01

    Geospatial technologies have become increasingly prevalent across our society. Educators at all levels have expressed a need for additional resources that can be easily adopted to support geospatial literacy and state standards of learning, while enhancing the overall learning experience. The Virginia Geocoin Adventure supports the needs of 4-H…

  1. GEOSPATIAL DATA ACCURACY ASSESSMENT

    EPA Science Inventory

    The development of robust accuracy assessment methods for the validation of spatial data represent's a difficult scientific challenge for the geospatial science community. The importance and timeliness of this issue is related directly to the dramatic escalation in the developmen...

  2. Trusting Crowdsourced Geospatial Semantics

    NASA Astrophysics Data System (ADS)

    Goodhue, P.; McNair, H.; Reitsma, F.

    2015-08-01

    The degree of trust one can place in information is one of the foremost limitations of crowdsourced geospatial information. As with the development of web technologies, the increased prevalence of semantics associated with geospatial information has increased accessibility and functionality. Semantics also provides an opportunity to extend indicators of trust for crowdsourced geospatial information that have largely focused on spatio-temporal and social aspects of that information. Comparing a feature's intrinsic and extrinsic properties to associated ontologies provides a means of semantically assessing the trustworthiness of crowdsourced geospatial information. The application of this approach to unconstrained semantic submissions then allows for a detailed assessment of the trust of these features whilst maintaining the descriptive thoroughness this mode of information submission affords. The resulting trust rating then becomes an attribute of the feature, providing not only an indication as to the trustworthiness of a specific feature but is able to be aggregated across multiple features to illustrate the overall trustworthiness of a dataset.

  3. Geospatial Information Best Practices

    DTIC Science & Technology

    2012-01-01

    the GI&S team was the establishment of the portal-based Iraqi Geospatial Database. IGD provided a centrally located repository and clearing house...Markup Language. The IGD was originally located on a stand-alone server established and maintained by the J7 GI&S Section. It is currently archived...at the National Geospatial Agency (http://gil.nga.smil. mil/ igd ). The IGD is organized into a home page (Figure 2) with four sub-pages

  4. Crowdsourcing geospatial data

    NASA Astrophysics Data System (ADS)

    Heipke, Christian

    2010-11-01

    In this paper we review recent developments of crowdsourcing geospatial data. While traditional mapping is nearly exclusively coordinated and often also carried out by large organisations, crowdsourcing geospatial data refers to generating a map using informal social networks and web 2.0 technology. Key differences are the fact that users lacking formal training in map making create the geospatial data themselves rather than relying on professional services; that potentially very large user groups collaborate voluntarily and often without financial compensation with the result that at a very low monetary cost open datasets become available and that mapping and change detection occur in real time. This situation is similar to that found in the Open Source software environment. We shortly explain the basic technology needed for crowdsourcing geospatial data, discuss the underlying concepts including quality issues and give some examples for this novel way of generating geospatial data. We also point at applications where alternatives do not exist such as life traffic information systems. Finally we explore the future of crowdsourcing geospatial data and give some concluding remarks.

  5. Geospatial Technology Strategic Plan 1997-2000

    USGS Publications Warehouse

    D'Erchia, Frank; D'Erchia, Terry D.; Getter, James; McNiff, Marcia; Root, Ralph; Stitt, Susan; White, Barbara

    1997-01-01

    Executive Summary -- Geospatial technology applications have been identified in many U.S. Geological Survey Biological Resources Division (BRD) proposals for grants awarded through internal and partnership programs. Because geospatial data and tools have become more sophisticated, accessible, and easy to use, BRD scientists frequently are using these tools and capabilities to enhance a broad spectrum of research activities. Bruce Babbitt, Secretary of the Interior, has acknowledged--and lauded--the important role of geospatial technology in natural resources management. In his keynote address to more than 5,500 people representing 87 countries at the Environmental Systems Research Institute Annual Conference (May 21, 1996), Secretary Babbitt stated, '. . .GIS [geographic information systems], if properly used, can provide a lot more than sets of data. Used effectively, it can help stakeholders to bring consensus out of conflict. And it can, by providing information, empower the participants to find new solutions to their problems.' This Geospatial Technology Strategic Plan addresses the use and application of geographic information systems, remote sensing, satellite positioning systems, image processing, and telemetry; describes methods of meeting national plans relating to geospatial data development, management, and serving; and provides guidance for sharing expertise and information. Goals are identified along with guidelines that focus on data sharing, training, and technology transfer. To measure success, critical performance indicators are included. The ability of the BRD to use and apply geospatial technology across all disciplines will greatly depend upon its success in transferring the technology to field biologists and researchers. The Geospatial Technology Strategic Planning Development Team coordinated and produced this document in the spirit of this premise. Individual Center and Program managers have the responsibility to implement the Strategic Plan

  6. Capacity Building through Geospatial Education in Planning and School Curricula

    NASA Astrophysics Data System (ADS)

    Kumar, P.; Siddiqui, A.; Gupta, K.; Jain, S.; Krishna Murthy, Y. V. N.

    2014-11-01

    Geospatial technology has widespread usage in development planning and resource management. It offers pragmatic tools to help urban and regional planners to realize their goals. On the request of Ministry of Urban Development, Govt. of India, the Indian Institute of Remote Sensing (IIRS), Dehradun has taken an initiative to study the model syllabi of All India Council for Technical Education for planning curricula of Bachelor and Master (five disciplines) programmes. It is inferred that geospatial content across the semesters in various planning fields needs revision. It is also realized that students pursuing planning curricula are invariably exposed to spatial mapping tools but the popular digital drafting software have limitations on geospatial analysis of planning phenomena. Therefore, students need exposure on geospatial technologies to understand various real world phenomena. Inputs were given to seamlessly merge and incorporate geospatial components throughout the semesters wherever seems relevant. Another initiative by IIRS was taken to enhance the understanding and essence of space and geospatial technologies amongst the young minds at 10+2 level. The content was proposed in a manner such that youngsters start realizing the innumerable contributions made by space and geospatial technologies in their day-to-day life. This effort both at school and college level would help in not only enhancing job opportunities for young generation but also utilizing the untapped human resource potential. In the era of smart cities, higher economic growth and aspirations for a better tomorrow, integration of Geospatial technologies with conventional wisdom can no longer be ignored.

  7. EPA National Geospatial Data Policy

    EPA Pesticide Factsheets

    National Geospatial Data Policy (NGDP) establishes principles, responsibilities, and requirements for collecting and managing geospatial data used by Federal environmental programs and projects within the jurisdiction of the U.S. EPA

  8. Geospatial Information Response Team

    USGS Publications Warehouse

    Witt, Emitt C.

    2010-01-01

    Extreme emergency events of national significance that include manmade and natural disasters seem to have become more frequent during the past two decades. The Nation is becoming more resilient to these emergencies through better preparedness, reduced duplication, and establishing better communications so every response and recovery effort saves lives and mitigates the long-term social and economic impacts on the Nation. The National Response Framework (NRF) (http://www.fema.gov/NRF) was developed to provide the guiding principles that enable all response partners to prepare for and provide a unified national response to disasters and emergencies. The NRF provides five key principles for better preparation, coordination, and response: 1) engaged partnerships, 2) a tiered response, 3) scalable, flexible, and adaptable operations, 4) unity of effort, and 5) readiness to act. The NRF also describes how communities, tribes, States, Federal Government, privatesector, and non-governmental partners apply these principles for a coordinated, effective national response. The U.S. Geological Survey (USGS) has adopted the NRF doctrine by establishing several earth-sciences, discipline-level teams to ensure that USGS science, data, and individual expertise are readily available during emergencies. The Geospatial Information Response Team (GIRT) is one of these teams. The USGS established the GIRT to facilitate the effective collection, storage, and dissemination of geospatial data information and products during an emergency. The GIRT ensures that timely geospatial data are available for use by emergency responders, land and resource managers, and for scientific analysis. In an emergency and response capacity, the GIRT is responsible for establishing procedures for geospatial data acquisition, processing, and archiving; discovery, access, and delivery of data; anticipating geospatial needs; and providing coordinated products and services utilizing the USGS' exceptional pool of

  9. Geospatial Thinking of Information Professionals

    ERIC Educational Resources Information Center

    Bishop, Bradley Wade; Johnston, Melissa P.

    2013-01-01

    Geospatial thinking skills inform a host of library decisions including planning and managing facilities, analyzing service area populations, facility site location, library outlet and service point closures, as well as assisting users with their own geospatial needs. Geospatial thinking includes spatial cognition, spatial reasoning, and knowledge…

  10. National Geospatial Program

    USGS Publications Warehouse

    Carswell, William J.

    2011-01-01

    increases the efficiency of the Nation's geospatial community by improving communications about geospatial data, products, services, projects, needs, standards, and best practices. The NGP comprises seven major components (described below), that are managed as a unified set. For example, The National Map establishes data standards and identifies geographic areas where specific types of geospatial data need to be incorporated into The National Map. Partnership Network Liaisons work with Federal, State, local, and tribal partners to help acquire the data. Geospatial technical operations ensure the quality control, integration, and availability to the public of the data acquired. The Emergency Operations Office provides the requirements to The National Map and, during emergencies and natural disasters, provides rapid dissemination of information and data targeted to the needs of emergency responders. The National Atlas uses data from The National Map and other sources to make small-scale maps and multimedia articles about the maps.

  11. Introduction to geospatial semantics and technology workshop handbook

    USGS Publications Warehouse

    Varanka, Dalia E.

    2012-01-01

    The workshop is a tutorial on introductory geospatial semantics with hands-on exercises using standard Web browsers. The workshop is divided into two sections, general semantics on the Web and specific examples of geospatial semantics using data from The National Map of the U.S. Geological Survey and the Open Ontology Repository. The general semantics section includes information and access to publicly available semantic archives. The specific session includes information on geospatial semantics with access to semantically enhanced data for hydrography, transportation, boundaries, and names. The Open Ontology Repository offers open-source ontologies for public use.

  12. Geospatial intelligence workforce

    NASA Astrophysics Data System (ADS)

    Showstack, Randy

    2013-02-01

    A report on the future U.S. workforce for geospatial intelligence, requested by the U.S. National Geospatial-Intelligence Agency (NGA), found that the agency—which hires about 300 scientists and analysts annually—is probably finding sufficient experts to fill the needs in all of its core areas, with the possible exception of geographic information systems (GIS) and remote sensing. The report by the U.S. National Research Council, released on 25 January, noted that competition for GIS applications analysts is strong. While there appear to be enough cartographers, photogrammetrists, and geodesists to meet NGA's current needs in those core areas, the report cautioned that future shortages in these areas seem likely because of a relatively small number of graduates.

  13. Considerations on Geospatial Big Data

    NASA Astrophysics Data System (ADS)

    LIU, Zhen; GUO, Huadong; WANG, Changlin

    2016-11-01

    Geospatial data, as a significant portion of big data, has recently gained the full attention of researchers. However, few researchers focus on the evolution of geospatial data and its scientific research methodologies. When entering into the big data era, fully understanding the changing research paradigm associated with geospatial data will definitely benefit future research on big data. In this paper, we look deep into these issues by examining the components and features of geospatial big data, reviewing relevant scientific research methodologies, and examining the evolving pattern of geospatial data in the scope of the four ‘science paradigms’. This paper proposes that geospatial big data has significantly shifted the scientific research methodology from ‘hypothesis to data’ to ‘data to questions’ and it is important to explore the generality of growing geospatial data ‘from bottom to top’. Particularly, four research areas that mostly reflect data-driven geospatial research are proposed: spatial correlation, spatial analytics, spatial visualization, and scientific knowledge discovery. It is also pointed out that privacy and quality issues of geospatial data may require more attention in the future. Also, some challenges and thoughts are raised for future discussion.

  14. US EPA GEOSPATIAL QUALITY COUNCIL: ENSURING QUALITY GEOSPATIAL SOLUTIONS

    EPA Science Inventory

    This presentation will discuss the history, strategy, products, and future plans of the EPA Geospatial Quality Council (GQC). A topical review of GQC products will be presented including:

    o Guidance for Geospatial Data Quality Assurance Project Plans.

    o GPS - Tec...

  15. THE NEVADA GEOSPATIAL DATA BROWSER

    EPA Science Inventory

    The Landscape Ecology Branch of the U.S. Environmental Protection Agency (Las Vegas, NV) has developed the Nevada Geospatial Data Browser, a spatial data archive to centralize and distribute the geospatial data used to create the land cover, vertebrate habitat models, and land o...

  16. Measuring the Impact of a Pilot Geospatial Technology Apprenticeship Program for the Department of Labor

    ERIC Educational Resources Information Center

    Gaudet, Cyndi; Annulis, Heather; Kmiec, John

    2010-01-01

    The Geospatial Technology Apprenticeship Program (GTAP) pilot was designed as a replicable and sustainable program to enhance workforce skills in geospatial technologies to best leverage a $30 billion market potential. The purpose of evaluating GTAP was to ensure that investment in this high-growth industry was adding value. Findings from this…

  17. Examining the Enactment of Web GIS on Students' Geospatial Thinking and Reasoning and Tectonics Understandings

    ERIC Educational Resources Information Center

    Bodzin, Alec M.; Fu, Qiong; Bressler, Denise; Vallera, Farah L.

    2015-01-01

    Geospatially enabled learning technologies may enhance Earth science learning by placing emphasis on geographic space, visualization, scale, representation, and geospatial thinking and reasoning (GTR) skills. This study examined if and how a series of Web geographic information system investigations that the researchers developed improved urban…

  18. The Impact of a Geospatial Technology-Supported Energy Curriculum on Middle School Students' Science Achievement

    ERIC Educational Resources Information Center

    Kulo, Violet; Bodzin, Alec

    2013-01-01

    Geospatial technologies are increasingly being integrated in science classrooms to foster learning. This study examined whether a Web-enhanced science inquiry curriculum supported by geospatial technologies promoted urban middle school students' understanding of energy concepts. The participants included one science teacher and 108 eighth-grade…

  19. EPA Geospatial Quality Council Promoting Quality Assurance in the Geospatial Coummunity

    EPA Science Inventory

    After establishing a foundation for the EPA National Geospatial Program, the EPA Geospatial Quality Council (GQC) is, in part, focusing on improving administrative efficiency in the geospatial community. To realize this goal, the GQC is developing Standard Operating Procedures (S...

  20. FRS Geospatial Return File Format

    EPA Pesticide Factsheets

    The Geospatial Return File Format describes format that needs to be used to submit latitude and longitude coordinates for use in Envirofacts mapping applications. These coordinates are stored in the Geospatail Reference Tables.

  1. NASA's Geospatial Interoperability Office(GIO)Program

    NASA Technical Reports Server (NTRS)

    Weir, Patricia

    2004-01-01

    NASA produces vast amounts of information about the Earth from satellites, supercomputer models, and other sources. These data are most useful when made easily accessible to NASA researchers and scientists, to NASA's partner Federal Agencies, and to society as a whole. A NASA goal is to apply its data for knowledge gain, decision support and understanding of Earth, and other planetary systems. The NASA Earth Science Enterprise (ESE) Geospatial Interoperability Office (GIO) Program leads the development, promotion and implementation of information technology standards that accelerate and expand the delivery of NASA's Earth system science research through integrated systems solutions. Our overarching goal is to make it easy for decision-makers, scientists and citizens to use NASA's science information. NASA's Federal partners currently participate with NASA and one another in the development and implementation of geospatial standards to ensure the most efficient and effective access to one another's data. Through the GIO, NASA participates with its Federal partners in implementing interoperability standards in support of E-Gov and the associated President's Management Agenda initiatives by collaborating on standards development. Through partnerships with government, private industry, education and communities the GIO works towards enhancing the ESE Applications Division in the area of National Applications and decision support systems. The GIO provides geospatial standards leadership within NASA, represents NASA on the Federal Geographic Data Committee (FGDC) Coordination Working Group and chairs the FGDC's Geospatial Applications and Interoperability Working Group (GAI) and supports development and implementation efforts such as Earth Science Gateway (ESG), Space Time Tool Kit and Web Map Services (WMS) Global Mosaic. The GIO supports NASA in the collection and dissemination of geospatial interoperability standards needs and progress throughout the agency including

  2. Towards a geospatial wikipedia

    NASA Astrophysics Data System (ADS)

    Fritz, S.; McCallum, I.; Schill, C.; Perger, C.; Kraxner, F.; Obersteiner, M.

    2009-04-01

    Based on the Google Earth (http://earth.google.com) platform we have developed a geospatial Wikipedia (geo-wiki.org). The tool allows everybody in the world to contribute to spatial validation and is made available to the internet community interested in that task. We illustrate how this tool can be used for different applications. In our first application we combine uncertainty hotspot information from three global land cover datasets (GLC, MODIS, GlobCover). With an ever increasing amount of high resolution images available on Google Earth, it is becoming increasingly possible to distinguish land cover features with a high degree of accuracy. We first direct the land cover validation community to certain hotspots of land cover uncertainty and then ask them to fill in a small popup menu on type of land cover, possibly a picture at that location with the different cardinal points as well as date and what type of validation was chosen (google earth imagery/panoramio or if the person has ground truth data). We have implemented the tool via a land cover validation community at FACEBOOK which is based on a snowball system which allows the tracking of individuals and the possibility to ignore users which misuse the system. In a second application we illustrate how the tool could possibly be used for mapping malaria occurrence and small water bodies as well as overall malaria risk. For this application we have implemented a polygon as well as attribute function using Google maps as along with virtual earth using openlayers. The third application deals with illegal logging and how an alert system for illegal logging detection within a certain land tenure system could be implemented. Here we show how the tool can be used to document illegal logging via a YouTube video.

  3. Future Teachers' Dispositions toward Teaching with Geospatial Technologies

    ERIC Educational Resources Information Center

    Jo, Injeong

    2016-01-01

    This study examined the effect of a minimal Web-based GIS experience within a semester-long methods course on enhancing preservice teachers' dispositions regarding the use of geospatial technologies for teaching. Fourteen preservice teachers enrolled in a senior-level methods course offered in geography and focused exclusively on how to teach…

  4. The National Geospatial Technical Operations Center

    USGS Publications Warehouse

    Craun, Kari J.; Constance, Eric W.; Donnelly, Jay; Newell, Mark R.

    2009-01-01

    The United States Geological Survey (USGS) National Geospatial Technical Operations Center (NGTOC) provides geospatial technical expertise in support of the National Geospatial Program in its development of The National Map, National Atlas of the United States, and implementation of key components of the National Spatial Data Infrastructure (NSDI).

  5. The Geospatial Web and Local Geographical Education

    ERIC Educational Resources Information Center

    Harris, Trevor M.; Rouse, L. Jesse; Bergeron, Susan J.

    2010-01-01

    Recent innovations in the Geospatial Web represent a paradigm shift in Web mapping by enabling educators to explore geography in the classroom by dynamically using a rapidly growing suite of impressive online geospatial tools. Coupled with access to spatial data repositories and User-Generated Content, the Geospatial Web provides a powerful…

  6. Research on registry centre for geospatial web service based on CSW specification

    NASA Astrophysics Data System (ADS)

    Chen, Yumin; Song, Chunqiao; Shen, Shengyu; Yang, Qing

    2008-12-01

    With the increase of geospatial data and services, how to more efficiently utilize and share the geographic information becomes a crucial problem. To effectively integrate and enhance abundant geographic information anywhere, this paper presents a Registry Centre for Geospatial Web Service (RCGWS) based on the Open Geospatial Consortium (OGC) Catalogue Service for Web and the ebXML Registry Information Model (ebRIM), which provides registration and discovery portals for geospatial metadata for dataset and services. The design ideology and architecture of RCGWS are introduced, and the techniques of appending GIS services classification in extended ebRIM and external interfaces of RCGWS based on OGC CWS are discussed. The implementation of RCGWS platform shows that this Registry Centre can satisfy the requirement of geospatial dataset and services.

  7. THE NEVADA GEOSPATIAL DATA BROWSER

    EPA Science Inventory

    The Nevada Geospatial Data Browser was developed by the Landscape Ecology Branch of the U.S. Environmental Protection Agency (Las Vegas, NV) with the assistance and collaboration of the University of Idaho (Moscow, ID) and Lockheed-Martin Environmental Services (Las Vegas, NV).

  8. A Geospatial Scavenger Hunt

    ERIC Educational Resources Information Center

    Martinez, Adriana E.; Williams, Nikki A.; Metoyer, Sandra K.; Morris, Jennifer N.; Berhane, Stephen A.

    2009-01-01

    With the use of technology such as Global Positioning System (GPS) units and Google Earth for a simple-machine scavenger hunt, you will transform a standard identification activity into an exciting learning experience that motivates students, incorporates practical skills in technology, and enhances students' spatial-thinking skills. In the…

  9. Grid Enabled Geospatial Catalogue Web Service

    NASA Technical Reports Server (NTRS)

    Chen, Ai-Jun; Di, Li-Ping; Wei, Ya-Xing; Liu, Yang; Bui, Yu-Qi; Hu, Chau-Min; Mehrotra, Piyush

    2004-01-01

    Geospatial Catalogue Web Service is a vital service for sharing and interoperating volumes of distributed heterogeneous geospatial resources, such as data, services, applications, and their replicas over the web. Based on the Grid technology and the Open Geospatial Consortium (0GC) s Catalogue Service - Web Information Model, this paper proposes a new information model for Geospatial Catalogue Web Service, named as GCWS which can securely provides Grid-based publishing, managing and querying geospatial data and services, and the transparent access to the replica data and related services under the Grid environment. This information model integrates the information model of the Grid Replica Location Service (RLS)/Monitoring & Discovery Service (MDS) with the information model of OGC Catalogue Service (CSW), and refers to the geospatial data metadata standards from IS0 19115, FGDC and NASA EOS Core System and service metadata standards from IS0 191 19 to extend itself for expressing geospatial resources. Using GCWS, any valid geospatial user, who belongs to an authorized Virtual Organization (VO), can securely publish and manage geospatial resources, especially query on-demand data in the virtual community and get back it through the data-related services which provide functions such as subsetting, reformatting, reprojection etc. This work facilitates the geospatial resources sharing and interoperating under the Grid environment, and implements geospatial resources Grid enabled and Grid technologies geospatial enabled. It 2!so makes researcher to focus on science, 2nd not cn issues with computing ability, data locztic, processir,g and management. GCWS also is a key component for workflow-based virtual geospatial data producing.

  10. Incorporating Geospatial Technology into Teacher Professional Development

    NASA Astrophysics Data System (ADS)

    Sproles, E. A.; Songer, L.

    2009-12-01

    The need for students to think spatially and use geospatial technologies is becoming more critical as these tools and concepts are increasingly incorporated into a broad range of occupations and academic disciplines. Geospatial Teaching Across the Curriculum (Geo-STAC) is a collaborative program that provides high school teachers with mentored professional development workshops in geospatial thought and technology. The seminars, led by community college faculty, give high school teachers the ability to incorporate geospatial technology into coursework across the curriculum — in Science, Technology, Engineering, and Math (STEM) and non-STEM disciplines. Students participating in the hands-on lessons gain experience in web-based and desktop Geographic Information Systems (GIS). The goals of the workshop are for teachers to: (1) understand the importance of geospatial thinking; (2) learn how to employ geospatial thinking in each discipline; (3) learn about geospatial technologies; (4) develop a Web-based GIS lesson; and, (5) implement a Web-based GIS lesson. Additionally, Geo-STAC works with high school students so that they: (1) understand the importance of geospatial technologies and careers in future job markets; (2) learn how to use Web-based GIS to solve problems; and, (3) visit the community college GIS lab and experience using desktop GIS. Geo-STAC actively disseminates this collaborative model to colleges to community colleges and high schools across the country.

  11. Integration of Geospatial Science in Teacher Education

    ERIC Educational Resources Information Center

    Hauselt, Peggy; Helzer, Jennifer

    2012-01-01

    One of the primary missions of our university is to train future primary and secondary teachers. Geospatial sciences, including GIS, have long been excluded from teacher education curriculum. This article explains the curriculum revisions undertaken to increase the geospatial technology education of future teachers. A general education class…

  12. Assessing Embedded Geospatial Student Learning Outcomes

    ERIC Educational Resources Information Center

    Carr, John David

    2012-01-01

    Geospatial tools and technologies have become core competencies for natural resource professionals due to the monitoring, modeling, and mapping capabilities they provide. To prepare students with needed background, geospatial instructional activities were integrated across Forest Management; Natural Resources; Fisheries, Wildlife, &…

  13. Best Practices for Preparing Interoperable Geospatial Data

    NASA Astrophysics Data System (ADS)

    Wei, Y.; Santhana Vannan, S.; Cook, R. B.; Wilson, B. E.; Beaty, T. W.

    2010-12-01

    Geospatial data is critically important for a wide scope of research and applications: carbon cycle and ecosystem, climate change, land use and urban planning, environmental protecting, etc. Geospatial data is created by different organizations using different methods, from remote sensing observations, field surveys, model simulations, etc., and stored in various formats. So geospatial data is diverse and heterogeneous, which brings a huge barrier for the sharing and using of geospatial data, especially when targeting a broad user community. Many efforts have been taken to address different aspects of using geospatial data by improving its interoperability. For example, the specification for Open Geospatial Consortium (OGC) catalog services defines a standard way for geospatial information discovery; OGC Web Coverage Services (WCS) and OPeNDAP define interoperable protocols for geospatial data access, respectively. But the reality is that only having the standard mechanisms for data discovery and access is not enough. The geospatial data content itself has to be organized in standard, easily understandable, and readily usable formats. The Oak Ridge National Lab Distributed Archived Data Center (ORNL DAAC) archives data and information relevant to biogeochemical dynamics, ecological data, and environmental processes. The Modeling and Synthesis Thematic Data Center (MAST-DC) prepares and distributes both input data and output data of carbon cycle models and provides data support for synthesis and terrestrial model inter-comparison in multi-scales. Both of these NASA-funded data centers compile and distribute a large amount of diverse geospatial data and have broad user communities, including GIS users, Earth science researchers, and ecosystem modeling teams. The ORNL DAAC and MAST-DC address this geospatial data interoperability issue by standardizing the data content and feeding them into a well-designed Spatial Data Infrastructure (SDI) which provides interoperable

  14. Geospatial Service Platform for Education and Research

    NASA Astrophysics Data System (ADS)

    Gong, J.; Wu, H.; Jiang, W.; Guo, W.; Zhai, X.; Yue, P.

    2014-04-01

    We propose to advance the scientific understanding through applications of geospatial service platforms, which can help students and researchers investigate various scientific problems in a Web-based environment with online tools and services. The platform also offers capabilities for sharing data, algorithm, and problem-solving knowledge. To fulfil this goal, the paper introduces a new course, named "Geospatial Service Platform for Education and Research", to be held in the ISPRS summer school in May 2014 at Wuhan University, China. The course will share cutting-edge achievements of a geospatial service platform with students from different countries, and train them with online tools from the platform for geospatial data processing and scientific research. The content of the course includes the basic concepts of geospatial Web services, service-oriented architecture, geoprocessing modelling and chaining, and problem-solving using geospatial services. In particular, the course will offer a geospatial service platform for handson practice. There will be three kinds of exercises in the course: geoprocessing algorithm sharing through service development, geoprocessing modelling through service chaining, and online geospatial analysis using geospatial services. Students can choose one of them, depending on their interests and background. Existing geoprocessing services from OpenRS and GeoPW will be introduced. The summer course offers two service chaining tools, GeoChaining and GeoJModelBuilder, as instances to explain specifically the method for building service chains in view of different demands. After this course, students can learn how to use online service platforms for geospatial resource sharing and problem-solving.

  15. Gamification and geospatial health management

    NASA Astrophysics Data System (ADS)

    Wortley, David

    2014-06-01

    Sensor and Measurement technologies are rapidly developing for many consumer applications which have the potential to make a major impact on business and society. One of the most important areas for building a sustainable future is in health management. This opportunity arises because of the growing popularity of lifestyle monitoring devices such as the Jawbone UP bracelet, Nike Fuelband and Samsung Galaxy GEAR. These devices measure physical activity and calorie consumption and, when visualised on mobile and portable devices, enable users to take more responsibility for their personal health. This presentation looks at how the process of gamification can be applied to develop important geospatial health management applications that could not only improve the health of nations but also significantly address some of the issues in global health such as the ageing society and obesity.

  16. Visualization and Ontology of Geospatial Intelligence

    NASA Astrophysics Data System (ADS)

    Chan, Yupo

    Recent events have deepened our conviction that many human endeavors are best described in a geospatial context. This is evidenced in the prevalence of location-based services, as afforded by the ubiquitous cell phone usage. It is also manifested by the popularity of such internet engines as Google Earth. As we commute to work, travel on business or pleasure, we make decisions based on the geospatial information provided by such location-based services. When corporations devise their business plans, they also rely heavily on such geospatial data. By definition, local, state and federal governments provide services according to geographic boundaries. One estimate suggests that 85 percent of data contain spatial attributes.

  17. Adoption of Geospatial Systems towards evolving Sustainable Himalayan Mountain Development

    NASA Astrophysics Data System (ADS)

    Murthy, M. S. R.; Bajracharya, B.; Pradhan, S.; Shestra, B.; Bajracharya, R.; Shakya, K.; Wesselmann, S.; Ali, M.; Bajracharya, S.; Pradhan, S.

    2014-11-01

    Natural resources dependence of mountain communities, rapid social and developmental changes, disaster proneness and climate change are conceived as the critical factors regulating sustainable Himalayan mountain development. The Himalayan region posed by typical geographic settings, diverse physical and cultural diversity present a formidable challenge to collect and manage data, information and understands varied socio-ecological settings. Recent advances in earth observation, near real-time data, in-situ measurements and in combination of information and communication technology have transformed the way we collect, process, and generate information and how we use such information for societal benefits. Glacier dynamics, land cover changes, disaster risk reduction systems, food security and ecosystem conservation are a few thematic areas where geospatial information and knowledge have significantly contributed to informed decision making systems over the region. The emergence and adoption of near-real time systems, unmanned aerial vehicles (UAV), board-scale citizen science (crowd-sourcing), mobile services and mapping, and cloud computing have paved the way towards developing automated environmental monitoring systems, enhanced scientific understanding of geophysical and biophysical processes, coupled management of socio-ecological systems and community based adaptation models tailored to mountain specific environment. There are differentiated capacities among the ICIMOD regional member countries with regard to utilization of earth observation and geospatial technologies. The region can greatly benefit from a coordinated and collaborative approach to capture the opportunities offered by earth observation and geospatial technologies. The regional level data sharing, knowledge exchange, and Himalayan GEO supporting geospatial platforms, spatial data infrastructure, unique region specific satellite systems to address trans-boundary challenges would go a long way in

  18. Using the Geospatial Web to Deliver and Teach Giscience Education Programs

    NASA Astrophysics Data System (ADS)

    Veenendaal, B.

    2015-05-01

    Geographic information science (GIScience) education has undergone enormous changes over the past years. One major factor influencing this change is the role of the geospatial web in GIScience. In addition to the use of the web for enabling and enhancing GIScience education, it is also used as the infrastructure for communicating and collaborating among geospatial data and users. The web becomes both the means and the content for a geospatial education program. However, the web does not replace the traditional face-to-face environment, but rather is a means to enhance it, expand it and enable an authentic and real world learning environment. This paper outlines the use of the web in both the delivery and content of the GIScience program at Curtin University. The teaching of the geospatial web, web and cloud based mapping, and geospatial web services are key components of the program, and the use of the web and online learning are important to deliver this program. Some examples of authentic and real world learning environments are provided including joint learning activities with partner universities.

  19. The Impact of a Geospatial Technology-Supported Energy Curriculum on Middle School Students' Science Achievement

    NASA Astrophysics Data System (ADS)

    Kulo, Violet; Bodzin, Alec

    2013-02-01

    Geospatial technologies are increasingly being integrated in science classrooms to foster learning. This study examined whether a Web-enhanced science inquiry curriculum supported by geospatial technologies promoted urban middle school students' understanding of energy concepts. The participants included one science teacher and 108 eighth-grade students classified in three ability level tracks. Data were gathered through pre/posttest content knowledge assessments, daily classroom observations, and daily reflective meetings with the teacher. Findings indicated a significant increase in the energy content knowledge for all the students. Effect sizes were large for all three ability level tracks, with the middle and low track classes having larger effect sizes than the upper track class. Learners in all three tracks were highly engaged with the curriculum. Curriculum effectiveness and practical issues involved with using geospatial technologies to support science learning are discussed.

  20. Geospatial Data Curation at the University of Idaho

    ERIC Educational Resources Information Center

    Kenyon, Jeremy; Godfrey, Bruce; Eckwright, Gail Z.

    2012-01-01

    The management and curation of digital geospatial data has become a central concern for many academic libraries. Geospatial data is a complex type of data critical to many different disciplines, and its use has become more expansive in the past decade. The University of Idaho Library maintains a geospatial data repository called the Interactive…

  1. Development of a National Digital Geospatial Data Framework

    USGS Publications Warehouse

    ,

    1995-01-01

    This proposal of a data framework to organize and enhance the activities of the geospatial data community to meet needs for basic themes of data was developed in response to a request in Executive Order 12906, Coordinating Geographic Data Acquisition and Access: The National Spatial Data Infrastructure (U.S. Executive Office of the President, 1994). The request stated: in consultation with State, local, and tribal governments and within 9 months of the date of this order, the FGDC shall submit a plan and schedule to OMB [U.S. Office of Management and Budget] for completing the initial implementation of a national digital geospatial data framework ("framework") by January 2000 and for establishing a process of ongoing data maintenance. The framework shall include geospatial data that are significant, in the determination of the FGDC, to a broad variety of users within any geographic area or nationwide. At a minimum, the plan shall address how the initial transportation, hydrology, and boundary elements of the framework might be completed by January 1998 in order to support the decennial census of 2000. The proposal was developed by representatives of local, regional, State, and Federal agencies under the auspices of the Federal Geographic Data Committee (FGDC). The individuals are listed in the appendix of this report. This Framework Working Group identified the purpose and goals for the framework; identified incentives for participation; defined the information content; developed preliminary technical, operational, and business contexts; specified the institutional roles needed; and developed a strategy for a phased implementation of the framework.Members of the working group presented the concepts of the framework for discussion at several national and regional public meetings. The draft of the report also was provided for public, written review. These discussions and reviews were the source of many improvements to the report.The FGDC approved the report for

  2. Examining the Effect of Enactment of a Geospatial Curriculum on Students' Geospatial Thinking and Reasoning

    ERIC Educational Resources Information Center

    Bodzin, Alec M.; Fu, Qiong; Kulo, Violet; Peffer, Tamara

    2014-01-01

    A potential method for teaching geospatial thinking and reasoning (GTR) is through geospatially enabled learning technologies. We developed an energy resources geospatial curriculum that included learning activities with geographic information systems and virtual globes. This study investigated how 13 urban middle school teachers implemented and…

  3. The African Geospatial Sciences Institute (agsi): a New Approach to Geospatial Training in North Africa

    NASA Astrophysics Data System (ADS)

    Oeldenberger, S.; Khaled, K. B.

    2012-07-01

    The African Geospatial Sciences Institute (AGSI) is currently being established in Tunisia as a non-profit, non-governmental organization (NGO). Its objective is to accelerate the geospatial capacity development in North-Africa, providing the facilities for geospatial project and management training to regional government employees, university graduates, private individuals and companies. With typical course durations between one and six months, including part-time programs and long-term mentoring, its focus is on practical training, providing actual project execution experience. The AGSI will complement formal university education and will work closely with geospatial certification organizations and the geospatial industry. In the context of closer cooperation between neighboring North Africa and the European Community, the AGSI will be embedded in a network of several participating European and African universities, e. g. the ITC, and international organizations, such as the ISPRS, the ICA and the OGC. Through a close cooperation with African organizations, such as the AARSE, the RCMRD and RECTAS, the network and exchange of ideas, experiences, technology and capabilities will be extended to Saharan and sub-Saharan Africa. A board of trustees will be steering the AGSI operations and will ensure that practical training concepts and contents are certifiable and can be applied within a credit system to graduate and post-graduate education at European and African universities. The geospatial training activities of the AGSI are centered on a facility with approximately 30 part- and full-time general staff and lecturers in Tunis during the first year. The AGSI will operate a small aircraft with a medium-format aerial camera and compact LIDAR instrument for local, community-scale data capture. Surveying training, the photogrammetric processing of aerial images, GIS data capture and remote sensing training will be the main components of the practical training courses

  4. Transforming the History Curriculum with Geospatial Tools

    ERIC Educational Resources Information Center

    Hammond, Thomas

    2014-01-01

    Martorella's "sleeping giant" is awakening via geospatial tools. As this technology is adopted, it will transform the history curriculum in three ways: deepening curricular content, making conceptual frameworks more prominent, and increasing connections to local history. These changes may not be profound and they may not be sudden,…

  5. Impacts of Geospatial Information for Decision Making

    NASA Astrophysics Data System (ADS)

    Pearlman, F.; Coote, A.; Friedl, L.; Stewart, M.

    2012-12-01

    Geospatial information contributes to decisions by both societal and individual decision-makers. More effective use of this information is essential as issues are increasingly complex and consequences can be critical for future economic and social development. To address this, a workshop brought together analysts, communicators, officials, and researchers from academia, government, non-governmental organizations, and the private sector. A range of policy issues, management needs, and resource requirements were discussed and a wide array of analyses, geospatial data, methods of analysis, and metrics were presented for assessing and communicating the value of geospatial information. It is clear that there are many opportunities for integrating science and engineering disciplines with the social sciences for addressing societal issues that would benefit from using geospatial information and earth observations. However, these collaborations must have outcomes that can be easily communicated to decision makers. This generally requires either succinct quantitative statements of value based on rigorous models and/or user testimonials of actual applications that save real money. An outcome of the workshop is to pursue the development of a community of practice or society that encompasses a wide range of scientific, social, management, and communication disciplines and fosters collaboration across specialties, helping to build trust across social and science aspects. A resource base is also necessary. This presentation will address approaches for creating a shared knowledge database, containing a glossary of terms, reference materials and examples of case studies and the potential applications for benefit analyses.

  6. Geospatial Technologies: Real Projects in Real Classrooms

    ERIC Educational Resources Information Center

    Kolvoord, Bob

    2008-01-01

    Geospatial technologies of geographic information systems, global positioning systems, and remote sensing are just a few of the projects that evoke an unexpected drive and devotion from high school students in Virginia. Their integration into different curricular areas lets students focus on understanding their community and the many issues that…

  7. Geospatial Technologies and Higher Education in Argentina

    ERIC Educational Resources Information Center

    Leguizamon, Saturnino

    2010-01-01

    The term "geospatial technologies" encompasses a large area of fields involving cartography, spatial analysis, geographic information system, remote sensing, global positioning systems and many others. These technologies should be expected to be available (as "natural tools") for a country with a large surface and a variety of…

  8. Automated Geospatial Watershed Assessment Tool (AGWA)

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The Automated Geospatial Watershed Assessment tool (AGWA, see: www.tucson.ars.ag.gov/agwa or http://www.epa.gov/esd/land-sci/agwa/) is a GIS interface jointly developed by the USDA Agricultural Research Service, the U.S. Environmental Protection Agency, the University of Arizona, and the University ...

  9. AGWA: The Automated Geospatial Watershed Assessment Tool

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment Tool (AGWA, see: www.tucson.ars.ag.gov/agwa or http://www.epa.gov/esd/land-sci/agwa/) is a GIS interface jointly developed by the USDA-Agricultural Research Service, the U.S. Environmental Protection Agency, the University of Arizona...

  10. Examining the Effect of Enactment of a Geospatial Curriculum on Students' Geospatial Thinking and Reasoning

    NASA Astrophysics Data System (ADS)

    Bodzin, Alec M.; Fu, Qiong; Kulo, Violet; Peffer, Tamara

    2014-08-01

    A potential method for teaching geospatial thinking and reasoning (GTR) is through geospatially enabled learning technologies. We developed an energy resources geospatial curriculum that included learning activities with geographic information systems and virtual globes. This study investigated how 13 urban middle school teachers implemented and varied the enactment of the curriculum with their students and investigated which teacher- and student-level factors accounted for students' GTR posttest achievement. Data included biweekly implementation surveys from teachers and energy resources content and GTR pre- and posttest achievement measures from 1,049 students. Students significantly increased both their energy resources content knowledge and their GTR skills related to energy resources at the end of the curriculum enactment. Both multiple regression and hierarchical linear modeling found that students' initial GTR abilities and gain in energy content knowledge were significantly explanatory variables for their geospatial achievement at the end of curriculum enactment, p < .001. Teacher enactment factors, including adherence to implementing the critical components of the curriculum or the number of years the teachers had taught the curriculum, did not have significant effects on students' geospatial posttest achievement. The findings from this study provide support that learning with geospatially enabled learning technologies can support GTR with urban middle-level learners.

  11. Assessing Hydrological Extreme Events with Geospatial Data and Models

    NASA Astrophysics Data System (ADS)

    Vivoni, Enrique R.; Grimaldi, Salvatore; Nardi, Fernando; Ivanov, Valeriy Y.; Castelli, Fabio; Bras, Rafael L.; Ubertini, Lucio

    2004-09-01

    Prediction of river basin hydrological response to extreme meteorological events is a primary concern in areas with frequent flooding, landslides, and debris flows. Natural hydrogeological disasters in many regions lead to extensive property damage, impact on societal activities, and loss of life. Hydrologists have a long history of assessing and predicting hydrologic hazards through the combined use of field observations, monitoring networks, remote sensing, and numerical modeling. Nevertheless, the integration of field data and computer models has yet to result in prediction systems that capture space-time interactions between meteorological forcing, land surface characteristics, and the internal hydrological response in river basins. Capabilities for assessing hydrologic extreme events are greatly enhanced via the use of geospatial data sets describing watershed properties such as topography, channel structure, soils, vegetation, and geological features. Recent advances in managing, processing, and visualizing cartographic data with geographic information systems (GIS) have enabled their direct use in spatially distributed hydrological models. In a distributed model application, geospatial data sets can be used to establish the model domain, specify boundary and initial conditions, determine the spatial variation of parameter values, and provide the spatial model forcing. By representing a watershed through a set of discrete elements, distributed models simulate water, energy, and mass transport in a landscape and provide estimates of the spatial pattern of hydrologic states, fluxes, and pathways.

  12. Integrating Quality Management Into a 3d Geospatial Server

    NASA Astrophysics Data System (ADS)

    Coors, V.; Krämer, M.

    2011-08-01

    In recent years the technology and workflow for producing and management of large 3D urban models has been established and widely been used. Standards such as CityGML enable the modelling and exchange of semantically enriched multi-purpose 3D urban models for applications like urban planning, public participation, environmental simulation and navigation. However, data quality management is essential to control and enhance the quality of these models in order to be able to meet the needs of the aforementioned applications. Quality management should be performed throughout the whole lifecycle of geospatial datasets - from data acquisition to processing, analysis and visualisation. In this paper, we therefore focus on the integration of a quality management software module into a 3D geospatial data server. First results of a prototype system developed at HFT Stuttgart together with Fraunhofer IGD will be presented in this paper as a starting point for further research into the field of quality management of 3D city models.

  13. Stakeholder Alignment and Changing Geospatial Information Capabilities

    NASA Astrophysics Data System (ADS)

    Winter, S.; Cutcher-Gershenfeld, J.; King, J. L.

    2015-12-01

    Changing geospatial information capabilities can have major economic and social effects on activities such as drought monitoring, weather forecasts, agricultural productivity projections, water and air quality assessments, the effects of forestry practices and so on. Whose interests are served by such changes? Two common mistakes are assuming stability in the community of stakeholders and consistency in stakeholder behavior. Stakeholder communities can reconfigure dramatically as some leave the discussion, others enter, and circumstances shift — all resulting in dynamic points of alignment and misalignment . New stakeholders can bring new interests, and existing stakeholders can change their positions. Stakeholders and their interests need to be be considered as geospatial information capabilities change, but this is easier said than done. New ways of thinking about stakeholder alignment in light of changes in capability are presented.

  14. Geospatial Resource Access Analysis In Hedaru, Tanzania

    NASA Astrophysics Data System (ADS)

    Clark, Dylan G.; Premkumar, Deepak; Mazur, Robert; Kisimbo, Elibariki

    2013-12-01

    Populations around the world are facing increased impacts of anthropogenic-induced environmental changes and rapid population movements. These environmental and social shifts are having an elevated impact on the livelihoods of agriculturalists and pastoralists in developing countries. This appraisal integrates various tools—usually used independently— to gain a comprehensive understanding of the regional livelihood constraints in the rural Hedaru Valley of northeastern Tanzania. Conducted in three villages with different natural resources, using three primary methods: 1) participatory mapping of infrastructures; 2) administration of quantitative, spatially-tied surveys (n=80) and focus groups (n=14) that examined land use, household health, education, and demographics; 3) conducting quantitative time series analysis of Landsat- based Normalized Difference Vegetation Index images. Through various geospatial and multivariate linear regression analyses, significant geospatial trends emerged. This research added to the academic understanding of the region while establishing pathways for climate change adaptation strategies.

  15. Research and Practical Trends in Geospatial Sciences

    NASA Astrophysics Data System (ADS)

    Karpik, A. P.; Musikhin, I. A.

    2016-06-01

    In recent years professional societies have been undergoing fundamental restructuring brought on by extensive technological change and rapid evolution of geospatial science. Almost all professional communities have been affected. Communities are embracing digital techniques, modern equipment, software and new technological solutions at a staggering pace. In this situation, when planning financial investments and intellectual resource management, it is crucial to have a clear understanding of those trends that will be in great demand in 3-7 years. This paper reviews current scientific and practical activities of such non-governmental international organizations as International Federation of Surveyors, International Cartographic Association, and International Society for Photogrammetry and Remote Sensing, analyzes and groups most relevant topics brought up at their scientific events, forecasts most probable research and practical trends in geospatial sciences, outlines topmost leading countries and emerging markets for further detailed analysis of their activities, types of scientific cooperation and joint implementation projects.

  16. Strategic Model for Future Geospatial Education.

    DTIC Science & Technology

    2007-11-02

    on image interpretation for intelligence purposes , or collection of data to support cadastral surveys. Remote campuses offering a variety of short...to create the individual map products. Now, geospatial data are collected into multi -use databases. Using a high-speed computer and a GIS with a...GIScience).31 The primary purpose of this core curriculum was to provide the academic community with a generic design of courses that act as the

  17. Developing a distributed HTML5-based search engine for geospatial resource discovery

    NASA Astrophysics Data System (ADS)

    ZHOU, N.; XIA, J.; Nebert, D.; Yang, C.; Gui, Z.; Liu, K.

    2013-12-01

    With explosive growth of data, Geospatial Cyberinfrastructure(GCI) components are developed to manage geospatial resources, such as data discovery and data publishing. However, the efficiency of geospatial resources discovery is still challenging in that: (1) existing GCIs are usually developed for users of specific domains. Users may have to visit a number of GCIs to find appropriate resources; (2) The complexity of decentralized network environment usually results in slow response and pool user experience; (3) Users who use different browsers and devices may have very different user experiences because of the diversity of front-end platforms (e.g. Silverlight, Flash or HTML). To address these issues, we developed a distributed and HTML5-based search engine. Specifically, (1)the search engine adopts a brokering approach to retrieve geospatial metadata from various and distributed GCIs; (2) the asynchronous record retrieval mode enhances the search performance and user interactivity; (3) the search engine based on HTML5 is able to provide unified access capabilities for users with different devices (e.g. tablet and smartphone).

  18. Identifying high energy density stream-reaches through refined geospatial resolution in hydropower resource assessment

    DOE PAGES

    Pasha, M. Fayzul K.; Yang, Majntxov; Yeasmin, Dilruba; ...

    2016-01-07

    Benefited from the rapid development of multiple geospatial data sets on topography, hydrology, and existing energy-water infrastructures, the reconnaissance level hydropower resource assessment can now be conducted using geospatial models in all regions of the US. Furthermore, the updated techniques can be used to estimate the total undeveloped hydropower potential across all regions, and may eventually help identify further hydropower opportunities that were previously overlooked. To enhance the characterization of higher energy density stream-reaches, this paper explored the sensitivity of geospatial resolution on the identification of hydropower stream-reaches using the geospatial merit matrix based hydropower resource assessment (GMM-HRA) model. GMM-HRAmore » model simulation was conducted with eight different spatial resolutions on six U.S. Geological Survey (USGS) 8-digit hydrologic units (HUC8) located at three different terrains; Flat, Mild, and Steep. The results showed that more hydropower potential from higher energy density stream-reaches can be identified with increasing spatial resolution. Both Flat and Mild terrains exhibited lower impacts compared to the Steep terrain. Consequently, greater attention should be applied when selecting the discretization resolution for hydropower resource assessments in the future study.« less

  19. Identifying high energy density stream-reaches through refined geospatial resolution in hydropower resource assessment

    SciTech Connect

    Pasha, M. Fayzul K.; Yang, Majntxov; Yeasmin, Dilruba; Saetern, Sen; Kao, Shih -Chieh; Smith, Brennan T.

    2016-01-07

    Benefited from the rapid development of multiple geospatial data sets on topography, hydrology, and existing energy-water infrastructures, the reconnaissance level hydropower resource assessment can now be conducted using geospatial models in all regions of the US. Furthermore, the updated techniques can be used to estimate the total undeveloped hydropower potential across all regions, and may eventually help identify further hydropower opportunities that were previously overlooked. To enhance the characterization of higher energy density stream-reaches, this paper explored the sensitivity of geospatial resolution on the identification of hydropower stream-reaches using the geospatial merit matrix based hydropower resource assessment (GMM-HRA) model. GMM-HRA model simulation was conducted with eight different spatial resolutions on six U.S. Geological Survey (USGS) 8-digit hydrologic units (HUC8) located at three different terrains; Flat, Mild, and Steep. The results showed that more hydropower potential from higher energy density stream-reaches can be identified with increasing spatial resolution. Both Flat and Mild terrains exhibited lower impacts compared to the Steep terrain. Consequently, greater attention should be applied when selecting the discretization resolution for hydropower resource assessments in the future study.

  20. Introduction to This Special Issue on Geostatistics and Geospatial Techniques in Remote Sensing

    NASA Technical Reports Server (NTRS)

    Atkinson, Peter; Quattrochi, Dale A.; Goodman, H. Michael (Technical Monitor)

    2000-01-01

    The germination of this special Computers & Geosciences (C&G) issue began at the Royal Geographical Society (with the Institute of British Geographers) (RGS-IBG) annual meeting in January 1997 held at the University of Exeter, UK. The snow and cold of the English winter were tempered greatly by warm and cordial discussion of how to stimulate and enhance cooperation on geostatistical and geospatial research in remote sensing 'across the big pond' between UK and US researchers. It was decided that one way forward would be to hold parallel sessions in 1998 on geostatistical and geospatial research in remote sensing at appropriate venues in both the UK and the US. Selected papers given at these sessions would be published as special issues of C&G on the UK side and Photogrammetric Engineering and Remote Sensing (PE&RS) on the US side. These issues would highlight the commonality in research on geostatistical and geospatial research in remote sensing on both sides of the Atlantic Ocean. As a consequence, a session on "Geostatistics and Geospatial Techniques for Remote Sensing of Land Surface Processes" was held at the RGS-IBG annual meeting in Guildford, Surrey, UK in January 1998, organized by the Modeling and Advanced Techniques Special Interest Group (MAT SIG) of the Remote Sensing Society (RSS). A similar session was held at the Association of American Geographers (AAG) annual meeting in Boston, Massachusetts in March 1998, sponsored by the AAG's Remote Sensing Specialty Group (RSSG). The 10 papers that make up this issue of C&G, comprise 7 papers from the UK and 3 papers from the LIS. We are both co-editors of each of the journal special issues, with the lead editor of each journal issue being from their respective side of the Atlantic. The special issue of PE&RS (vol. 65) that constitutes the other half of this co-edited journal series was published in early 1999, comprising 6 papers by US authors. We are indebted to the International Association for Mathematical

  1. Streamlining geospatial metadata in the Semantic Web

    NASA Astrophysics Data System (ADS)

    Fugazza, Cristiano; Pepe, Monica; Oggioni, Alessandro; Tagliolato, Paolo; Carrara, Paola

    2016-04-01

    In the geospatial realm, data annotation and discovery rely on a number of ad-hoc formats and protocols. These have been created to enable domain-specific use cases generalized search is not feasible for. Metadata are at the heart of the discovery process and nevertheless they are often neglected or encoded in formats that either are not aimed at efficient retrieval of resources or are plainly outdated. Particularly, the quantum leap represented by the Linked Open Data (LOD) movement did not induce so far a consistent, interlinked baseline in the geospatial domain. In a nutshell, datasets, scientific literature related to them, and ultimately the researchers behind these products are only loosely connected; the corresponding metadata intelligible only to humans, duplicated on different systems, seldom consistently. Instead, our workflow for metadata management envisages i) editing via customizable web- based forms, ii) encoding of records in any XML application profile, iii) translation into RDF (involving the semantic lift of metadata records), and finally iv) storage of the metadata as RDF and back-translation into the original XML format with added semantics-aware features. Phase iii) hinges on relating resource metadata to RDF data structures that represent keywords from code lists and controlled vocabularies, toponyms, researchers, institutes, and virtually any description one can retrieve (or directly publish) in the LOD Cloud. In the context of a distributed Spatial Data Infrastructure (SDI) built on free and open-source software, we detail phases iii) and iv) of our workflow for the semantics-aware management of geospatial metadata.

  2. Development of Geospatial Map Based Election Portal

    NASA Astrophysics Data System (ADS)

    Gupta, A. Kumar Chandra; Kumar, P.; Vasanth Kumar, N.

    2014-11-01

    The Geospatial Delhi Limited (GSDL), a Govt. of NCT of Delhi Company formed in order to provide the geospatial information of National Capital Territory of Delhi (NCTD) to the Government of National Capital Territory of Delhi (GNCTD) and its organs such as DDA, MCD, DJB, State Election Department, DMRC etc., for the benefit of all citizens of Government of National Capital Territory of Delhi (GNCTD). This paper describes the development of Geospatial Map based Election portal (GMEP) of NCT of Delhi. The portal has been developed as a map based spatial decision support system (SDSS) for pertain to planning and management of Department of Chief Electoral Officer, and as an election related information searching tools (Polling Station, Assembly and parliamentary constituency etc.,) for the citizens of NCTD. The GMEP is based on Client-Server architecture model. It has been developed using ArcGIS Server 10.0 with J2EE front-end on Microsoft Windows environment. The GMEP is scalable to enterprise SDSS with enterprise Geo Database & Virtual Private Network (VPN) connectivity. Spatial data to GMEP includes delimited precinct area boundaries of Voters Area of Polling stations, Assembly Constituency, Parliamentary Constituency, Election District, Landmark locations of Polling Stations & basic amenities (Police Stations, Hospitals, Schools and Fire Stations etc.). GMEP could help achieve not only the desired transparency and easiness in planning process but also facilitates through efficient & effective tools for management of elections. It enables a faster response to the changing ground realities in the development planning, owing to its in-built scientific approach and open-ended design.

  3. HydroQGIS: Hydrological Geospatial Data Manipulation

    NASA Astrophysics Data System (ADS)

    Frazier, N.

    2015-12-01

    Many aspects of hydrology are tightly coupled with geospatial data. For this reason, geospatial information systems (GIS) are often incorporated into work flows for analyzing hydrological data. These disjoint work flows, however, often require many steps and different applications to achieve the desired results. Simplifying the workflow involved in regional flood peak scaling studies motivated the creation of the HydroQGIS plugin. Flood frequency analysis presents one of the largest hurdles in studying regional flood peak scaling. HydroQGIS aids these studies with a set of tools that reduce the time to perform flood frequency analsyis on USGS gauging stations. HydroQGIS is a framework for hydrological geospatial plugin development for Quantum GIS (QGIS). It uses the cross-platform nature of QGIS, QT, and Python to create a set of tools to help simplify the work flow of hydrological data searching, gathering, and analysis into a single application that can be used by users on any platform. HydroQGIS combines the Quantum GIS plugin framework with various web-services to couple data and analysis in a uniform environment. QGIS provides a fully functioning GIS application on top of which plugins can be developed. The HydroQGIS plugin focuses on data acquisition and analysis from the geospatial domain. The design of HydroQGIS facilitates quick development of additional tools, used independently or in conjunction with other developed utilities, to streamline data acquisition and analysis. HydroQGIS currently implements an Environmental Protection Agency (EPA) Watershed Delineation tool using the EPA Waters web service, as well as a United States Geological Survey (USGS) gauging station search using the USGS Instantaneous Values web service. These tools provide a unified GIS interface that allows users to locate and map gauging stations and watersheds using any base map of their choice. These tools, while useful by themselves, also support a flood frequency analysis (FFA

  4. Intelligence, mapping, and geospatial exploitation system (IMAGES)

    NASA Astrophysics Data System (ADS)

    Moellman, Dennis E.; Cain, Joel M.

    1998-08-01

    This paper provides further detail to one facet of the battlespace visualization concept described in last year's paper Battlespace Situation Awareness for Force XXI. It focuses on the National Imagery and Mapping Agency (NIMA) goal to 'provide customers seamless access to tailorable imagery, imagery intelligence, and geospatial information.' This paper describes Intelligence, Mapping, and Geospatial Exploitation System (IMAGES), an exploitation element capable of CONUS baseplant operations or field deployment to provide NIMA geospatial information collaboratively into a reconnaissance, surveillance, and target acquisition (RSTA) environment through the United States Imagery and Geospatial Information System (USIGS). In a baseplant CONUS setting IMAGES could be used to produce foundation data to support mission planning. In the field it could be directly associated with a tactical sensor receiver or ground station (e.g. UAV or UGV) to provide near real-time and mission specific RSTA to support mission execution. This paper provides IMAGES functional level design; describes the technologies, their interactions and interdependencies; and presents a notional operational scenario to illustrate the system flexibility. Using as a system backbone an intelligent software agent technology, called Open Agent ArchitectureTM (OAATM), IMAGES combines multimodal data entry, natural language understanding, and perceptual and evidential reasoning for system management. Configured to be DII COE compliant, it would utilize, to the extent possible, COTS applications software for data management, processing, fusion, exploitation, and reporting. It would also be modular, scaleable, and reconfigurable. This paper describes how the OAATM achieves data synchronization and enables the necessary level of information to be rapidly available to various command echelons for making informed decisions. The reasoning component will provide for the best information to be developed in the timeline

  5. Open Technology Approaches to Geospatial Interface Design

    NASA Astrophysics Data System (ADS)

    Crevensten, B.; Simmons, D.; Alaska Satellite Facility

    2011-12-01

    What problems do you not want your software developers to be solving? Choosing open technologies across the entire stack of software development-from low-level shared libraries to high-level user interaction implementations-is a way to help ensure that customized software yields innovative and valuable tools for Earth Scientists. This demonstration will review developments in web application technologies and the recurring patterns of interaction design regarding exploration and discovery of geospatial data through the Vertex: ASF's Dataportal interface, a project utilizing current open web application standards and technologies including HTML5, jQueryUI, Backbone.js and the Jasmine unit testing framework.

  6. Geospatial Services in Special Libraries: A Needs Assessment Perspective

    ERIC Educational Resources Information Center

    Barnes, Ilana

    2013-01-01

    Once limited to geographers and mapmakers, Geographic Information Systems (GIS) has taken a growing central role in information management and visualization. Geospatial services run a gamut of different products and services from Google maps to ArcGIS servers to Mobile development. Geospatial services are not new. Libraries have been writing about…

  7. US EPA GEOSPATIAL QUALITY COUNCIL: ENSURING QUALITY IN GEOPSPATIAL SOLUTIONS

    EPA Science Inventory

    In 1999, the U.S. Environmental Protection Agency (EPA), Office of Research and Development, Environmental Sciences Division, created the EPA Geospatial Quality Council (GQC) to fill the gap between the EPA Quality Assurance (QA) and Geospatial communities. GQC participants inclu...

  8. Fostering 21st Century Learning with Geospatial Technologies

    ERIC Educational Resources Information Center

    Hagevik, Rita A.

    2011-01-01

    Global positioning systems (GPS) receivers and other geospatial tools can help teachers create engaging, hands-on activities in all content areas. This article provides a rationale for using geospatial technologies in the middle grades and describes classroom-tested activities in English language arts, science, mathematics, and social studies.…

  9. 78 FR 30328 - Announcement of National Geospatial Advisory Committee Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-22

    ... NSDI Strategic Plan Geospatial Platform OMB Circular A-16 Portfolio Management Landsat Advisory Group... established to advise the Federal Geographic Data Committee on management of Federal geospatial programs, the development of the National Spatial Data Infrastructure (NSDI), and the implementation of Office of...

  10. EPA GEOSPATIAL QUALITY COUNCIL STRATEGY PLAN FY-02

    EPA Science Inventory



    The EPA Geospatial Quality Council (GQC), previously known as the EPA GIS-QA Team - EPA/600/R-00/009, was created to fill the gap between the EPA Quality Assurance (QA) and Geospatial communities. All EPA Offices and Regions were invited to participate. Currently, the EPA...

  11. Introduction to the Complex Geospatial Web in Geographical Education

    ERIC Educational Resources Information Center

    Papadimitriou, Fivos

    2010-01-01

    The Geospatial Web is emerging in the geographical education landscape in all its complexity. How will geographers and educators react? What are the most important facets of this development? After reviewing the possible impacts on geographical education, it can be conjectured that the Geospatial Web will eventually replace the usual geographical…

  12. GeoSpatial Data Analysis for DHS Programs

    SciTech Connect

    Stephan, Eric G.; Burke, John S.; Carlson, Carrie A.; Gillen, David S.; Joslyn, Cliff A.; Olsen, Bryan K.; Critchlow, Terence J.

    2009-05-10

    The Department of Homeland Security law enforcement faces the continual challenge of analyzing their custom data sources in a geospatial context. From a strategic perspective law enforcement has certain requirements to first broadly characterize a given situation using their custom data sources and then once it is summarily understood, to geospatially analyze their data in detail.

  13. Towards effective application of geospatial technologies for disaster management

    NASA Astrophysics Data System (ADS)

    Abdalla, Rifaat; Li, Jonathan

    2010-12-01

    SummaryThis article provides an overview of the application of geospatial technologies for disaster and emergency management; the motive behind this special issue is focusing on the importance of highlighting the efforts of geospatial technologies community in the field of disaster and emergency management. This issue provides an insight on the future directions of geospatial technologies for disaster management. It starts with presenting the process of formalization of the idea behind this special issue, presenting the themes covered in this issue; summary statistics related to the submitted papers. The article provides an overview of the current state-of-the-art of geospatial technologies for disaster management with emphasis on GIS and the emerging web and mobile services. This editorial presents as much comprehensive user view of research directions from applications and applications development. This editorial concludes by providing a vision for geospatial technologies for disaster management and emergency response and briefly overview the content of this special issue.

  14. Nebraska NativeGEM (Geospatial Extension Model)

    NASA Technical Reports Server (NTRS)

    Bowen, Brent

    2004-01-01

    This proposal, Nebraska NativeGEM (Geospatial Extension Model) features a unique diversity component stemming from the exceptional reputation NNSGC has built by delivering geospatial science experiences to Nebraska s Native Americans. For 7 years, NNSGC has partner4 with the 2 tribal colleges and 4 reservation school districts in Nebraska to form the Nebraska Native American Outreach Program (NNAOP), a partnership among tribal community leaders, academia, tribal schools, and industry reaching close to 1,OOO Native American youth, over 1,200 community members (Lehrer & Zendajas, 2001).NativeGEM addresses all three key components of Cooperative State Research, Education, and Extension Service (CSREES) goals for advancing decision support, education, and workforce development through the GES. The existing long term commitments that the NNSGC and the GES have in these areas allow for the pursuit of a broad range of activities. NativeGEM builds upon these existing successful programs and collaborations. Outcomes and metrics for each proposed project are detailed in the Approach section of this document.

  15. Geospatial Brokering - Challenges and Future Directions

    NASA Astrophysics Data System (ADS)

    White, C. E.

    2012-12-01

    An important feature of many brokers is to facilitate straightforward human access to scientific data while maintaining programmatic access to it for system solutions. Standards-based protocols are critical for this, and there are a number of protocols to choose from. In this discussion, we will present a web application solution that leverages certain protocols - e.g., OGC CSW, REST, and OpenSearch - to provide programmatic as well as human access to geospatial resources. We will also discuss managing resources to reduce duplication yet increase discoverability, federated search solutions, and architectures that combine human-friendly interfaces with powerful underlying data management. The changing requirements witnessed in brokering solutions over time, our recent experience participating in the EarthCube brokering hack-a-thon, and evolving interoperability standards provide insight to future technological and philosophical directions planned for geospatial broker solutions. There has been much change over the past decade, but with the unprecedented data collaboration of recent years, in many ways the challenges and opportunities are just beginning.

  16. Developing geospatial thinking and the science practices of investigation and evalutation with geographic information systems

    NASA Astrophysics Data System (ADS)

    Hamilton, Kelli

    Geospatial thinking is a subset of spatial thinking, which has been identified by the National Geography Standards as an essential skill for students to gain through geography instruction (Heffron & Downs, 2013). One tool which has been shown to help students develop their geospatial thinking skills is Geographic Information Systems (GIS) (Kim & Bednraz, 2013; Lee & Bednarz, 2009; Patterson, 2007). Much of the research conducted with GIS has been in the context of social studies classrooms. This study examined the use of GIS with seventh grade students in a science classroom. Results of this study indicate that students who use GIS as part of their science instruction are able to practice geospatial thinking skills. In addition, this study examined how GIS could be used to enhance the instruction of the science practices of investigation and evaluation. The Next Generation Science Standards identify certain science practices which students should experience as part of science instruction (NGSS Lead States, 2013). Among those practices are investigation and evaluation. Students in this study used GIS to investigate and evaluate scientific data. Both the teacher and the students were able to identify ways that GIS enhanced both the investigation and evaluation of data.

  17. Geospatial Data Management Platform for Urban Groundwater

    NASA Astrophysics Data System (ADS)

    Gaitanaru, D.; Priceputu, A.; Gogu, C. R.

    2012-04-01

    Due to the large amount of civil work projects and research studies, large quantities of geo-data are produced for the urban environments. These data are usually redundant as well as they are spread in different institutions or private companies. Time consuming operations like data processing and information harmonisation represents the main reason to systematically avoid the re-use of data. The urban groundwater data shows the same complex situation. The underground structures (subway lines, deep foundations, underground parkings, and others), the urban facility networks (sewer systems, water supply networks, heating conduits, etc), the drainage systems, the surface water works and many others modify continuously. As consequence, their influence on groundwater changes systematically. However, these activities provide a large quantity of data, aquifers modelling and then behaviour prediction can be done using monitored quantitative and qualitative parameters. Due to the rapid evolution of technology in the past few years, transferring large amounts of information through internet has now become a feasible solution for sharing geoscience data. Furthermore, standard platform-independent means to do this have been developed (specific mark-up languages like: GML, GeoSciML, WaterML, GWML, CityML). They allow easily large geospatial databases updating and sharing through internet, even between different companies or between research centres that do not necessarily use the same database structures. For Bucharest City (Romania) an integrated platform for groundwater geospatial data management is developed under the framework of a national research project - "Sedimentary media modeling platform for groundwater management in urban areas" (SIMPA) financed by the National Authority for Scientific Research of Romania. The platform architecture is based on three components: a geospatial database, a desktop application (a complex set of hydrogeological and geological analysis

  18. Online Resources to Support Professional Development for Managing and Preserving Geospatial Data

    NASA Astrophysics Data System (ADS)

    Downs, R. R.; Chen, R. S.

    2013-12-01

    tutorials, primers, guides, and online learning modules. The site enables users to find and access standards, real-world examples, and websites of other resources about geospatial data management. Quick links to lists of resources are available for data managers, system developers, and researchers. New resources are featured regularly to highlight current developments in practice and research. A user-centered approach was taken to design and develop the site iteratively, based on a survey of the expectations and needs of community members who have an interest in the management and preservation of geospatial data. Formative and summative evaluation activities have informed design, content, and feature enhancements to enable users to use the website efficiently and effectively. Continuing management and evaluation of the website keeps the content and the infrastructure current with evolving research, practices, and technology. The design, development, evaluation, and use of the website are described along with selected resources and activities that support education and professional development for the management, preservation, and stewardship of geospatial data.

  19. Establishing Transportation Framework Services Using the Open Geospatial Consortium Web Feature Service Specification

    NASA Astrophysics Data System (ADS)

    Yang, C.; Wong, D. W.; Phillips, T.; Wright, R. A.; Lindsey, S.; Kafatos, M.

    2005-12-01

    /DOT, and Intergraph; and 5) develop WFS-based solutions and technical documents using the GeoMedia WebMap WFS toolkit. Geospatial Web Feature Service is demonstrated to be more efficient in sharing vector data and supports direct Internet access transportation data. Developed WFS solutions also enhanced the interoperable service provided by CEOSR through the FGDC clearinghouse node and the GOS Portal.

  20. The Challenges to Coupling Dynamic Geospatial Models

    SciTech Connect

    Goldstein, N

    2006-06-23

    Many applications of modeling spatial dynamic systems focus on a single system and a single process, ignoring the geographic and systemic context of the processes being modeled. A solution to this problem is the coupled modeling of spatial dynamic systems. Coupled modeling is challenging for both technical reasons, as well as conceptual reasons. This paper explores the benefits and challenges to coupling or linking spatial dynamic models, from loose coupling, where information transfer between models is done by hand, to tight coupling, where two (or more) models are merged as one. To illustrate the challenges, a coupled model of Urbanization and Wildfire Risk is presented. This model, called Vesta, was applied to the Santa Barbara, California region (using real geospatial data), where Urbanization and Wildfires occur and recur, respectively. The preliminary results of the model coupling illustrate that coupled modeling can lead to insight into the consequences of processes acting on their own.

  1. Assessing the socioeconomic impact and value of open geospatial information

    USGS Publications Warehouse

    Pearlman, Francoise; Pearlman, Jay; Bernknopf, Richard; Coote, Andrew; Craglia, Massimo; Friedl, Lawrence; Gallo, Jason; Hertzfeld, Henry; Jolly, Claire; Macauley, Molly; Shapiro, Carl; Smart, Alan

    2016-03-10

    The workshop included 68 participants coming from international organizations, the U.S. public and private sectors, nongovernmental organizations, and academia. Participants included policy makers and analysts, financial analysts, economists, information scientists, geospatial practitioners, and other discipline experts.

  2. a Framework for AN Open Source Geospatial Certification Model

    NASA Astrophysics Data System (ADS)

    Khan, T. U. R.; Davis, P.; Behr, F.-J.

    2016-06-01

    The geospatial industry is forecasted to have an enormous growth in the forthcoming years and an extended need for well-educated workforce. Hence ongoing education and training play an important role in the professional life. Parallel, in the geospatial and IT arena as well in the political discussion and legislation Open Source solutions, open data proliferation, and the use of open standards have an increasing significance. Based on the Memorandum of Understanding between International Cartographic Association, OSGeo Foundation, and ISPRS this development led to the implementation of the ICA-OSGeo-Lab imitative with its mission "Making geospatial education and opportunities accessible to all". Discussions in this initiative and the growth and maturity of geospatial Open Source software initiated the idea to develop a framework for a worldwide applicable Open Source certification approach. Generic and geospatial certification approaches are already offered by numerous organisations, i.e., GIS Certification Institute, GeoAcademy, ASPRS, and software vendors, i. e., Esri, Oracle, and RedHat. They focus different fields of expertise and have different levels and ways of examination which are offered for a wide range of fees. The development of the certification framework presented here is based on the analysis of diverse bodies of knowledge concepts, i.e., NCGIA Core Curriculum, URISA Body Of Knowledge, USGIF Essential Body Of Knowledge, the "Geographic Information: Need to Know", currently under development, and the Geospatial Technology Competency Model (GTCM). The latter provides a US American oriented list of the knowledge, skills, and abilities required of workers in the geospatial technology industry and influenced essentially the framework of certification. In addition to the theoretical analysis of existing resources the geospatial community was integrated twofold. An online survey about the relevance of Open Source was performed and evaluated with 105

  3. Conference on Geospatial Approaches to Cancer Control and Population Sciences

    Cancer.gov

    The purpose of this conference is to bring together a community of researchers across the cancer control continuum using geospatial tools, models and approaches to address cancer prevention and control.

  4. Strengthened IAEA Safeguards-Imagery Analysis: Geospatial Tools for Nonproliferation Analysis

    SciTech Connect

    Pabian, Frank V

    2012-08-14

    This slide presentation focuses on the growing role and importance of imagery analysis for IAEA safeguards applications and how commercial satellite imagery, together with the newly available geospatial tools, can be used to promote 'all-source synergy.' As additional sources of openly available information, satellite imagery in conjunction with the geospatial tools can be used to significantly augment and enhance existing information gathering techniques, procedures, and analyses in the remote detection and assessment of nonproliferation relevant activities, facilities, and programs. Foremost of the geospatial tools are the 'Digital Virtual Globes' (i.e., GoogleEarth, Virtual Earth, etc.) that are far better than previously used simple 2-D plan-view line drawings for visualization of known and suspected facilities of interest which can be critical to: (1) Site familiarization and true geospatial context awareness; (2) Pre-inspection planning; (3) Onsite orientation and navigation; (4) Post-inspection reporting; (5) Site monitoring over time for changes; (6) Verification of states site declarations and for input to State Evaluation reports; and (7) A common basis for discussions among all interested parties (Member States). Additionally, as an 'open-source', such virtual globes can also provide a new, essentially free, means to conduct broad area search for undeclared nuclear sites and activities - either alleged through open source leads; identified on internet BLOGS and WIKI Layers, with input from a 'free' cadre of global browsers and/or by knowledgeable local citizens (a.k.a.: 'crowdsourcing'), that can include ground photos and maps; or by other initiatives based on existing information and in-house country knowledge. They also provide a means to acquire ground photography taken by locals, hobbyists, and tourists of the surrounding locales that can be useful in identifying and discriminating between relevant and non-relevant facilities and their associated

  5. Geospatial Information is the Cornerstone of Effective Hazards Response

    USGS Publications Warehouse

    Newell, Mark

    2008-01-01

    Every day there are hundreds of natural disasters world-wide. Some are dramatic, whereas others are barely noticeable. A natural disaster is commonly defined as a natural event with catastrophic consequences for living things in the vicinity. Those events include earthquakes, floods, hurricanes, landslides, tsunami, volcanoes, and wildfires. Man-made disasters are events that are caused by man either intentionally or by accident, and that directly or indirectly threaten public health and well-being. These occurrences span the spectrum from terrorist attacks to accidental oil spills. To assist in responding to natural and potential man-made disasters, the U.S. Geological Survey (USGS) has established the Geospatial Information Response Team (GIRT) (http://www.usgs.gov/emergency/). The primary purpose of the GIRT is to ensure rapid coordination and availability of geospatial information for effective response by emergency responders, and land and resource managers, and for scientific analysis. The GIRT is responsible for establishing monitoring procedures for geospatial data acquisition, processing, and archiving; discovery, access, and delivery of data; anticipating geospatial needs; and providing relevant geospatial products and services. The GIRT is focused on supporting programs, offices, other agencies, and the public in mission response to hazards. The GIRT will leverage the USGS Geospatial Liaison Network and partnerships with the Department of Homeland Security (DHS), National Geospatial-Intelligence Agency (NGA), and Northern Command (NORTHCOM) to coordinate the provisioning and deployment of USGS geospatial data, products, services, and equipment. The USGS geospatial liaisons will coordinate geospatial information sharing with State, local, and tribal governments, and ensure geospatial liaison back-up support procedures are in place. The GIRT will coordinate disposition of USGS staff in support of DHS response center activities as requested by DHS. The GIRT

  6. Contextual object understanding through geospatial analysis and reasoning (COUGAR)

    NASA Astrophysics Data System (ADS)

    Douglas, Joel; Antone, Matthew; Coggins, James; Rhodes, Bradley J.; Sobel, Erik; Stolle, Frank; Vinciguerra, Lori; Zandipour, Majid; Zhong, Yu

    2009-05-01

    Military operations in urban areas often require detailed knowledge of the location and identity of commonly occurring objects and spatial features. The ability to rapidly acquire and reason over urban scenes is critically important to such tasks as mission and route planning, visibility prediction, communications simulation, target recognition, and inference of higher-level form and function. Under DARPA's Urban Reasoning and Geospatial ExploitatioN Technology (URGENT) Program, the BAE Systems team has developed a system that combines a suite of complementary feature extraction and matching algorithms with higher-level inference and contextual reasoning to detect, segment, and classify urban entities of interest in a fully automated fashion. Our system operates solely on colored 3D point clouds, and considers object categories with a wide range of specificity (fire hydrants, windows, parking lots), scale (street lights, roads, buildings, forests), and shape (compact shapes, extended regions, terrain). As no single method can recognize the diverse set of categories under consideration, we have integrated multiple state-of-the-art technologies that couple hierarchical associative reasoning with robust computer vision and machine learning techniques. Our solution leverages contextual cues and evidence propagation from features to objects to scenes in order to exploit the combined descriptive power of 3D shape, appearance, and learned inter-object spatial relationships. The result is a set of tools designed to significantly enhance the productivity of analysts in exploiting emerging 3D data sources.

  7. Geospatial Visualization of Scientific Data Through Keyhole Markup Language

    NASA Astrophysics Data System (ADS)

    Wernecke, J.; Bailey, J. E.

    2008-12-01

    The development of virtual globes has provided a fun and innovative tool for exploring the surface of the Earth. However, it has been the paralleling maturation of Keyhole Markup Language (KML) that has created a new medium and perspective through which to visualize scientific datasets. Originally created by Keyhole Inc., and then acquired by Google in 2004, in 2007 KML was given over to the Open Geospatial Consortium (OGC). It became an OGC international standard on 14 April 2008, and has subsequently been adopted by all major geobrowser developers (e.g., Google, Microsoft, ESRI, NASA) and many smaller ones (e.g., Earthbrowser). By making KML a standard at a relatively young stage in its evolution, developers of the language are seeking to avoid the issues that plagued the early World Wide Web and development of Hypertext Markup Language (HTML). The popularity and utility of Google Earth, in particular, has been enhanced by KML features such as the Smithsonian volcano layer and the dynamic weather layers. Through KML, users can view real-time earthquake locations (USGS), view animations of polar sea-ice coverage (NSIDC), or read about the daily activities of chimpanzees (Jane Goodall Institute). Perhaps even more powerful is the fact that any users can create, edit, and share their own KML, with no or relatively little knowledge of manipulating computer code. We present an overview of the best current scientific uses of KML and a guide to how scientists can learn to use KML themselves.

  8. Spatio-temporal evaluation matrices for geospatial data

    NASA Astrophysics Data System (ADS)

    Triglav, Joc; Petrovič, Dušan; Stopar, Bojan

    2011-02-01

    The global geospatial community is investing substantial effort in providing tools for geospatial data-quality information analysis and systematizing the criteria for geospatial data quality. The importance of these activities is increasing, especially in the last decade, which has witnessed an enormous expansion of geospatial data use in general and especially among mass users. Although geospatial data producers are striving to define and present data-quality standards to users and users increasingly need to assess the fitness for use of the data, the success of these activities is still far from what is expected or required. As a consequence, neglect or misunderstanding of data quality among users results in misuse or risks. This paper presents an aid in spatio-temporal quality evaluation through the use of spatio-temporal evaluation matrices (STEM) and the index of spatio-temporal anticipations (INSTANT) matrices. With the help of these two simple tools, geospatial data producers can systematically categorize and visualize the granularity of their spatio-temporal data, and users can present their requirements in the same way using business intelligence principles and a Web 2.0 approach. The basic principles and some examples are presented in the paper, and potential further applied research activities are briefly described.

  9. Mapping a Difference: The Power of Geospatial Visualization

    NASA Astrophysics Data System (ADS)

    Kolvoord, B.

    2015-12-01

    Geospatial Technologies (GST), such as GIS, GPS and remote sensing, offer students and teachers the opportunity to study the "why" of where. By making maps and collecting location-based data, students can pursue authentic problems using sophisticated tools. The proliferation of web- and cloud-based tools has made these technologies broadly accessible to schools. In addition, strong spatial thinking skills have been shown to be a key factor in supporting students that want to study science, technology, engineering, and mathematics (STEM) disciplines (Wai, Lubinski and Benbow) and pursue STEM careers. Geospatial technologies strongly scaffold the development of these spatial thinking skills. For the last ten years, the Geospatial Semester, a unique dual-enrollment partnership between James Madison University and Virginia high schools, has provided students with the opportunity to use GST's to hone their spatial thinking skills and to do extended projects of local interest, including environmental, geological and ecological studies. Along with strong spatial thinking skills, these students have also shown strong problem solving skills, often beyond those of fellow students in AP classes. Programs like the Geospatial Semester are scalable and within the reach of many college and university departments, allowing strong engagement with K-12 schools. In this presentation, we'll share details of the Geospatial Semester and research results on the impact of the use of these technologies on students' spatial thinking skills, and discuss the success and challenges of developing K-12 partnerships centered on geospatial visualization.

  10. The Value of Information - Accounting for a New Geospatial Paradigm

    NASA Astrophysics Data System (ADS)

    Pearlman, J.; Coote, A. M.

    2014-12-01

    A new frontier in consideration of socio-economic benefit is valuing information as an asset, often referred to as Infonomics. Conventional financial practice does not easily provide a mechanism for valuing information and yet clearly for many of the largest corporations, such as Google and Facebook, it is their principal asset. This is exacerbated for public sector organizations, as those that information-centric rather than information-enabled are relatively few - statistics, archiving and mapping agencies are perhaps the only examples - so it's not at the top of the agenda for Government. However, it is a hugely important issue when valuing Geospatial data and information. Geospatial data allows public institutions to operate, and facilitates the provision of essential services for emergency response and national defense. In this respect, geospatial data is strongly analogous to other types of public infrastructure, such as utilities and roads. The use of Geospatial data is widespread from companies in the transportation or construction sectors to individual planning for daily events. The categorization of geospatial data as infrastructure is critical to decisions related to investment in its management, maintenance and upgrade over time. Geospatial data depreciates in the same way that physical infrastructure depreciates. It needs to be maintained otherwise its functionality and value in use declines. We have coined the term geo-infonomics to encapsulate the concept. This presentation will develop the arguments around its importance and current avenues of research.

  11. a New Framework for Geospatial Site Selection Using Artificial Neural Networks as Decision Rules: a Case Study on Landfill Sites

    NASA Astrophysics Data System (ADS)

    Abujayyab, S. K. M.; Ahamad, M. A. S.; Yahya, A. S.; Saad, A.-M. H. Y.

    2015-10-01

    This paper briefly introduced the theory and framework of geospatial site selection (GSS) and discussed the application and framework of artificial neural networks (ANNs). The related literature on the use of ANNs as decision rules in GSS is scarce from 2000 till 2015. As this study found, ANNs are not only adaptable to dynamic changes but also capable of improving the objectivity of acquisition in GSS, reducing time consumption, and providing high validation. ANNs make for a powerful tool for solving geospatial decision-making problems by enabling geospatial decision makers to implement their constraints and imprecise concepts. This tool offers a way to represent and handle uncertainty. Specifically, ANNs are decision rules implemented to enhance conventional GSS frameworks. The main assumption in implementing ANNs in GSS is that the current characteristics of existing sites are indicative of the degree of suitability of new locations with similar characteristics. GSS requires several input criteria that embody specific requirements and the desired site characteristics, which could contribute to geospatial sites. In this study, the proposed framework consists of four stages for implementing ANNs in GSS. A multilayer feed-forward network with a backpropagation algorithm was used to train the networks from prior sites to assess, generalize, and evaluate the outputs on the basis of the inputs for the new sites. Two metrics, namely, confusion matrix and receiver operating characteristic tests, were utilized to achieve high accuracy and validation. Results proved that ANNs provide reasonable and efficient results as an accurate and inexpensive quantitative technique for GSS.

  12. Deductive Coordination of Multiple Geospatial Knowledge Sources

    NASA Astrophysics Data System (ADS)

    Waldinger, R.; Reddy, M.; Culy, C.; Hobbs, J.; Jarvis, P.; Dungan, J. L.

    2002-12-01

    Deductive inference is applied to choreograph the cooperation of multiple knowledge sources to respond to geospatial queries. When no one source can provide an answer, the response may be deduced from pieces of the answer provided by many sources. Examples of sources include (1) The Alexandria Digital Library Gazetteer, a repository that gives the locations for almost six million place names, (2) The Cia World Factbook, an online almanac with basic information about more than 200 countries. (3) The SRI TerraVision 3D Terrain Visualization System, which displays a flight-simulator-like interactive display of geographic data held in a database, (4) The NASA GDACC WebGIS client for searching satellite and other geographic data available through OpenGIS Consortium (OGC) Web Map Servers, and (5) The Northern Arizona University Latitude/Longitude Distance Calculator. Queries are phrased in English and are translated into logical theorems by the Gemini Natural Language Parser. The theorems are proved by SNARK, a first-order-logic theorem prover, in the context of an axiomatic geospatial theory. The theory embodies a representational scheme that takes into account the fact that the same place may have many names, and the same name may refer to many places. SNARK has built-in procedures (RCC8 and the Allen calculus, respectively) for reasoning about spatial and temporal concepts. External knowledge sources may be consulted by SNARK as the proof is in progress, so that most knowledge need not be stored axiomatically. The Open Agent Architecture (OAA) facilitates communication between sources that may be implemented on different machines in different computer languages. An answer to the query, in the form of text or an image, is extracted from the proof. Currently, three-dimensional images are displayed by TerraVision but other displays are possible. The combined system is called Geo-Logica. Some example queries that can be handled by Geo-Logica include: (1) show the

  13. Geospatial database for heritage building conservation

    NASA Astrophysics Data System (ADS)

    Basir, W. N. F. W. A.; Setan, H.; Majid, Z.; Chong, A.

    2014-02-01

    Heritage buildings are icons from the past that exist in present time. Through heritage architecture, we can learn about economic issues and social activities of the past. Nowadays, heritage buildings are under threat from natural disaster, uncertain weather, pollution and others. In order to preserve this heritage for the future generation, recording and documenting of heritage buildings are required. With the development of information system and data collection technique, it is possible to create a 3D digital model. This 3D information plays an important role in recording and documenting heritage buildings. 3D modeling and virtual reality techniques have demonstrated the ability to visualize the real world in 3D. It can provide a better platform for communication and understanding of heritage building. Combining 3D modelling with technology of Geographic Information System (GIS) will create a database that can make various analyses about spatial data in the form of a 3D model. Objectives of this research are to determine the reliability of Terrestrial Laser Scanning (TLS) technique for data acquisition of heritage building and to develop a geospatial database for heritage building conservation purposes. The result from data acquisition will become a guideline for 3D model development. This 3D model will be exported to the GIS format in order to develop a database for heritage building conservation. In this database, requirements for heritage building conservation process are included. Through this research, a proper database for storing and documenting of the heritage building conservation data will be developed.

  14. With Geospatial in Path of Smart City

    NASA Astrophysics Data System (ADS)

    Homainejad, A. S.

    2015-04-01

    With growth of urbanisation, there is a requirement for using the leverage of smart city in city management. The core of smart city is Information and Communication Technologies (ICT), and one of its elements is smart transport which includes sustainable transport and Intelligent Transport Systems (ITS). Cities and especially megacities are facing urgent transport challenge in traffic management. Geospatial can provide reliable tools for monitoring and coordinating traffic. In this paper a method for monitoring and managing the ongoing traffic in roads using aerial images and CCTV will be addressed. In this method, the road network was initially extracted and geo-referenced and captured in a 3D model. The aim is to detect and geo-referenced any vehicles on the road from images in order to assess the density and the volume of vehicles on the roads. If a traffic jam was recognised from the images, an alternative route would be suggested for easing the traffic jam. In a separate test, a road network was replicated in the computer and a simulated traffic was implemented in order to assess the traffic management during a pick time using this method.

  15. Feasibility study of geospatial mapping of chronic disease risk to inform public health commissioning

    PubMed Central

    Smith, Dianna; Mathur, Rohini; Robson, John; Greenhalgh, Trisha

    2012-01-01

    Objective To explore the feasibility of producing small-area geospatial maps of chronic disease risk for use by clinical commissioning groups and public health teams. Study design Cross-sectional geospatial analysis using routinely collected general practitioner electronic record data. Sample and setting Tower Hamlets, an inner-city district of London, UK, characterised by high socioeconomic and ethnic diversity and high prevalence of non-communicable diseases. Methods The authors used type 2 diabetes as an example. The data set was drawn from electronic general practice records on all non-diabetic individuals aged 25–79 years in the district (n=163 275). The authors used a validated instrument, QDScore, to calculate 10-year risk of developing type 2 diabetes. Using specialist mapping software (ArcGIS), the authors produced visualisations of how these data varied by lower and middle super output area across the district. The authors enhanced these maps with information on examples of locality-based social determinants of health (population density, fast food outlets and green spaces). Data were piloted as three types of geospatial map (basic, heat and ring). The authors noted practical, technical and information governance challenges involved in producing the maps. Results Usable data were obtained on 96.2% of all records. One in 11 adults in our cohort was at ‘high risk’ of developing type 2 diabetes with a 20% or more 10-year risk. Small-area geospatial mapping illustrated ‘hot spots’ where up to 17.3% of all adults were at high risk of developing type 2 diabetes. Ring maps allowed visualisation of high risk for type 2 diabetes by locality alongside putative social determinants in the same locality. The task of downloading, cleaning and mapping data from electronic general practice records posed some technical challenges, and judgement was required to group data at an appropriate geographical level. Information governance issues were time consuming

  16. A Geospatial Semantic Enrichment and Query Service for Geotagged Photographs

    PubMed Central

    Ennis, Andrew; Nugent, Chris; Morrow, Philip; Chen, Liming; Ioannidis, George; Stan, Alexandru; Rachev, Preslav

    2015-01-01

    With the increasing abundance of technologies and smart devices, equipped with a multitude of sensors for sensing the environment around them, information creation and consumption has now become effortless. This, in particular, is the case for photographs with vast amounts being created and shared every day. For example, at the time of this writing, Instagram users upload 70 million photographs a day. Nevertheless, it still remains a challenge to discover the “right” information for the appropriate purpose. This paper describes an approach to create semantic geospatial metadata for photographs, which can facilitate photograph search and discovery. To achieve this we have developed and implemented a semantic geospatial data model by which a photograph can be enrich with geospatial metadata extracted from several geospatial data sources based on the raw low-level geo-metadata from a smartphone photograph. We present the details of our method and implementation for searching and querying the semantic geospatial metadata repository to enable a user or third party system to find the information they are looking for. PMID:26205265

  17. Restful Implementation of Catalogue Service for Geospatial Data Provenance

    NASA Astrophysics Data System (ADS)

    Jiang, L. C.; Yue, P.; Lu, X. C.

    2013-10-01

    Provenance, also known as lineage, is important in understanding the derivation history of data products. Geospatial data provenance helps data consumers to evaluate the quality and reliability of geospatial data. In a service-oriented environment, where data are often consumed or produced by distributed services, provenance could be managed by following the same service-oriented paradigm. The Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) is used for the registration and query of geospatial data provenance by extending ebXML Registry Information Model (ebRIM). Recent advance of the REpresentational State Transfer (REST) paradigm has shown great promise for the easy integration of distributed resources. RESTful Web Service aims to provide a standard way for Web clients to communicate with servers based on REST principles. The existing approach for provenance catalogue service could be improved by adopting the RESTful design. This paper presents the design and implementation of a catalogue service for geospatial data provenance following RESTful architecture style. A middleware named REST Converter is added on the top of the legacy catalogue service to support a RESTful style interface. The REST Converter is composed of a resource request dispatcher and six resource handlers. A prototype service is developed to demonstrate the applicability of the approach.

  18. The Implementation of a Geospatial Information Technology (GIT)-Supported Land Use Change Curriculum with Urban Middle School Learners to Promote Spatial Thinking

    ERIC Educational Resources Information Center

    Bodzin, Alec M.

    2011-01-01

    This study investigated whether a geospatial information technology (GIT)-supported science curriculum helped students in an urban middle school understand land use change (LUC) concepts and enhanced their spatial thinking. Five 8th grade earth and space science classes in an urban middle school consisting of three different ability level tracks…

  19. Building Geospatial Web Services for Ecological Monitoring and Forecasting

    NASA Astrophysics Data System (ADS)

    Hiatt, S. H.; Hashimoto, H.; Melton, F. S.; Michaelis, A. R.; Milesi, C.; Nemani, R. R.; Wang, W.

    2008-12-01

    The Terrestrial Observation and Prediction System (TOPS) at NASA Ames Research Center is a modeling system that generates a suite of gridded data products in near real-time that are designed to enhance management decisions related to floods, droughts, forest fires, human health, as well as crop, range, and forest production. While these data products introduce great possibilities for assisting management decisions and informing further research, realization of their full potential is complicated by their shear volume and by the need for a necessary infrastructure for remotely browsing, visualizing, and analyzing the data. In order to address these difficulties we have built an OGC-compliant WMS and WCS server based on an open source software stack that provides standardized access to our archive of data. This server is built using the open source Java library GeoTools which achieves efficient I/O and image rendering through Java Advanced Imaging. We developed spatio-temporal raster management capabilities using the PostGrid raster indexation engine. We provide visualization and browsing capabilities through a customized Ajax web interface derived from the kaMap project. This interface allows resource managers to quickly assess ecosystem conditions and identify significant trends and anomalies from within their web browser without the need to download source data or install special software. Our standardized web services also expose TOPS data to a range of potential clients, from web mapping applications to virtual globes and desktop GIS packages. However, support for managing the temporal dimension of our data is currently limited in existing software systems. Future work will attempt to overcome this shortcoming by building time-series visualization and analysis tools that can be integrated with existing geospatial software.

  20. Geospatial decision support systems for societal decision making

    USGS Publications Warehouse

    Bernknopf, R.L.

    2005-01-01

    While science provides reliable information to describe and understand the earth and its natural processes, it can contribute more. There are many important societal issues in which scientific information can play a critical role. Science can add greatly to policy and management decisions to minimize loss of life and property from natural and man-made disasters, to manage water, biological, energy, and mineral resources, and in general, to enhance and protect our quality of life. However, the link between science and decision-making is often complicated and imperfect. Technical language and methods surround scientific research and the dissemination of its results. Scientific investigations often are conducted under different conditions, with different spatial boundaries, and in different timeframes than those needed to support specific policy and societal decisions. Uncertainty is not uniformly reported in scientific investigations. If society does not know that data exist, what the data mean, where to use the data, or how to include uncertainty when a decision has to be made, then science gets left out -or misused- in a decision making process. This paper is about using Geospatial Decision Support Systems (GDSS) for quantitative policy analysis. Integrated natural -social science methods and tools in a Geographic Information System that respond to decision-making needs can be used to close the gap between science and society. The GDSS has been developed so that nonscientists can pose "what if" scenarios to evaluate hypothetical outcomes of policy and management choices. In this approach decision makers can evaluate the financial and geographic distribution of potential policy options and their societal implications. Actions, based on scientific information, can be taken to mitigate hazards, protect our air and water quality, preserve the planet's biodiversity, promote balanced land use planning, and judiciously exploit natural resources. Applications using the

  1. Geospatial resources for the geologic community: The USGS National Map

    USGS Publications Warehouse

    Witt, Emitt C.

    2015-01-01

    Geospatial data are a key component of investigating, interpreting, and communicating the geological sciences. Locating geospatial data can be time-consuming, which detracts from time spent on a study because these data are not obviously placed in central locations or are served from many disparate databases. The National Map of the US Geological Survey is a publicly available resource for accessing the geospatial base map data needs of the geological community from a central location. The National Map data are available through a viewer and download platform providing access to eight primary data themes, plus the US Topo and scanned historical topographic maps. The eight themes are elevation, orthoimagery, hydrography, geographic names, boundaries, transportation, structures, and land cover, and they are being offered for download as predefined tiles in formats supported by leading geographic information system software. Data tiles are periodically refreshed to capture the most current content and are an efficient method for disseminating and receiving geospatial information. Elevation data, for example, are offered as a download from the National Map as 1° × 1° tiles for the 10- and 30- m products and as 15′ × 15′ tiles for the higher-resolution 3-m product. Vector data sets with smaller file sizes are offered at several tile sizes and formats. Partial tiles are not a download option—any prestaged data that intersect the requesting bounding box will be, in their entirety, part of the download order. While there are many options for accessing geospatial data via the Web, the National Map represents authoritative sources of data that are documented and can be referenced for citation and inclusion in scientific publications. Therefore, National Map products and services should be part of a geologist’s first stop for geospatial information and data.

  2. Making geospatial data in ASF archive readily accessible

    NASA Astrophysics Data System (ADS)

    Gens, R.; Hogenson, K.; Wolf, V. G.; Drew, L.; Stern, T.; Stoner, M.; Shapran, M.

    2015-12-01

    The way geospatial data is searched, managed, processed and used has changed significantly in recent years. A data archive such as the one at the Alaska Satellite Facility (ASF), one of NASA's twelve interlinked Distributed Active Archive Centers (DAACs), used to be searched solely via user interfaces that were specifically developed for its particular archive and data sets. ASF then moved to using an application programming interface (API) that defined a set of routines, protocols, and tools for distributing the geospatial information stored in the database in real time. This provided a more flexible access to the geospatial data. Yet, it was up to user to develop the tools to get a more tailored access to the data they needed. We present two new approaches for serving data to users. In response to the recent Nepal earthquake we developed a data feed for distributing ESA's Sentinel data. Users can subscribe to the data feed and are provided with the relevant metadata the moment a new data set is available for download. The second approach was an Open Geospatial Consortium (OGC) web feature service (WFS). The WFS hosts the metadata along with a direct link from which the data can be downloaded. It uses the open-source GeoServer software (Youngblood and Iacovella, 2013) and provides an interface to include the geospatial information in the archive directly into the user's geographic information system (GIS) as an additional data layer. Both services are run on top of a geospatial PostGIS database, an open-source geographic extension for the PostgreSQL object-relational database (Marquez, 2015). Marquez, A., 2015. PostGIS essentials. Packt Publishing, 198 p. Youngblood, B. and Iacovella, S., 2013. GeoServer Beginner's Guide, Packt Publishing, 350 p.

  3. Geospatial Information and Geographic Information Systems (GIS): Current Issues and Future Challenges

    DTIC Science & Technology

    2009-06-08

    Geographic Information Systems (GIS) Congressional Research Service 15 Other Activities and Components of FGDC and NSDI Geospatial One - Stop According...to the FGDC 2007 Annual Report,30 the Geospatial One - Stop portal is the official means of accessing metadata resources, which are published through...the National Spatial Data Clearinghouse and which are managed in NSDI. Geospatial One - Stop focuses on the discovery and access of geospatial

  4. 3-D HYDRODYNAMIC MODELING IN A GEOSPATIAL FRAMEWORK

    SciTech Connect

    Bollinger, J; Alfred Garrett, A; Larry Koffman, L; David Hayes, D

    2006-08-24

    3-D hydrodynamic models are used by the Savannah River National Laboratory (SRNL) to simulate the transport of thermal and radionuclide discharges in coastal estuary systems. Development of such models requires accurate bathymetry, coastline, and boundary condition data in conjunction with the ability to rapidly discretize model domains and interpolate the required geospatial data onto the domain. To facilitate rapid and accurate hydrodynamic model development, SRNL has developed a pre- and post-processor application in a geospatial framework to automate the creation of models using existing data. This automated capability allows development of very detailed models to maximize exploitation of available surface water radionuclide sample data and thermal imagery.

  5. Commercial observation satellites: broadening the sources of geospatial data

    NASA Astrophysics Data System (ADS)

    Baker, John C.; O'Connell, Kevin M.; Venzor, Jose A.

    2002-09-01

    Commercial observation satellites promise to broaden substantially the sources of imagery data available to potential users of geospatial data and related information products. We examine the new trend toward private firms acquiring and operating high-resolution imagery satellites. These commercial observation satellites build on the substantial experience in Earth observation operations provided by government-owned imaging satellites for civilian and military purposes. However, commercial satellites will require governments and companies to reconcile public and private interests in allowing broad public access to high-resolution satellite imagery data without creating national security risks or placing the private firms at a disadvantage compared with other providers of geospatial data.

  6. Evaluation of groundwater potential using geospatial techniques

    NASA Astrophysics Data System (ADS)

    Hussein, Abdul-Aziz; Govindu, Vanum; Nigusse, Amare Gebre Medhin

    2016-06-01

    The issue of unsustainable groundwater utilization is becoming increasingly an evident problem and the key concern for many developing countries. One of the problems is the absence of updated spatial information on the quantity and distribution of groundwater resource. Like the other developing countries, groundwater evaluation in Ethiopia has been usually conducted using field survey which is not feasible in terms of time and resource. This study was conducted in Northern Ethiopia, Wollo Zone, in Gerardo River Catchment district to spatially delineate the groundwater potential areas using geospatial and MCDA tools. To do so, eight major biophysical and environmental factors like geomorphology, lithology, slope, rainfall, land use land cover (LULC), soil, lineament density and drainage density were considered. The sources of these data were satellite image, digital elevation model (DEM), existing thematic maps and metrological station data. Landsat image was used in ERDAS Imagine to drive the LULC of the area, while the geomorphology, soil, and lithology of the area were identified and classified through field survey and digitized from existing maps using the ArcGIS software. The slope, lineament and drainage density of the area were derived from DEM using spatial analysis tools. The rainfall surface map was generated using the thissen polygon interpolation. Finally, after all these thematic maps were organized, weighted value determination for each factor and its field value was computed using IDRSI software. At last, all the factors were integrated together and computed the model using the weighted overlay so that potential groundwater areas were mapped. The findings depicted that the most potential groundwater areas are found in the central and eastern parts of the study area, while the northern and western parts of the Gerado River Catchment have poor potential of groundwater availability. This is mainly due to the cumulative effect of steep topographic and

  7. Geospatial Perspective: Toward a Visual Political Literacy Project in Education, Health, and Human Services

    ERIC Educational Resources Information Center

    Hogrebe, Mark C.; Tate, William F., IV

    2012-01-01

    In this chapter, "geospatial" refers to geographic space that includes location, distance, and the relative position of things on the earth's surface. Geospatial perspective calls for the addition of a geographic lens that focuses on place and space as important contextual variables. A geospatial view increases one's understanding of…

  8. EPA Geospatial Quality Council Strategic and Implementation Plan 2010 to 2015

    EPA Science Inventory

    The EPA Geospatial Quality Council (GQC) was created to promote and provide Quality Assurance guidance for the development, use, and products of geospatial science. The GQC was created when the gap between the EPA Quality Assurance (QA) and Geospatial communities was recognized. ...

  9. Building Geosciences Departments for the Future: Geospatial Initiatives at North Carolina Central University

    NASA Astrophysics Data System (ADS)

    Vlahovic, G.; Malhotra, R.; Renslow, M.; Albert, B.; Harris, J.

    2007-12-01

    Two ongoing initiatives funded by the NSF-GEO and NSF-HRD directorates are being used to enhance the geospatial program at the North Carolina Central University (NCCU) to make it a leader, regionally and nationally, in geoscience education. As one of only two Historically Black Colleges and Universities (HBCUs) in the southeast offering Geography as a major, NCCU has established a Geospatial Research, Innovative Teaching, and Service (GRITS) Center and has partnered with American Society for Photogrammetry and Remote Sensing (ASPRS) to offer "Provisional" GIS certification to students graduating with Geography degrees. This presentation will focus on the role that ongoing geospatial initiatives are playing in attracting students to this program, increasing opportunities for academic and industry internships and employment in the field after graduation, and increasing awareness of the NCCU geosciences program among GIS professionals in North Carolina. Some of the program highlights include "Provisional" ASPRS certification recently awarded to three NCCU graduate students - the first three students in the nation to complete the provisional certification process. This summer GRITS Center faculty conducted two GIS workshops for academic users and three more are planned in the near future for North Carolina GIS professionals. In addition, a record number of students were awarded paid internship positions with government agencies, non profit organizations and the industry. This past summer our students worked at NOAA, NC Conservation Fund, UNC Population Center, and Triangle Aerial Surveys. NCCUs high minority enrollment (at the present above 90%) and quality and tradition of geoscience program make it an ideal incubator for accreditation and certification activities and a possible role model for other HBCUs.

  10. Geospatial Technology Applications and Infrastructure in the Biological Resources Division

    USGS Publications Warehouse

    D'Erchia, Frank; Getter, James; D'Erchia, Terry D.; Root, Ralph; Stitt, Susan; White, Barbara

    1998-01-01

    Executive Summary -- Automated spatial processing technology such as geographic information systems (GIS), telemetry, and satellite-based remote sensing are some of the more recent developments in the long history of geographic inquiry. For millennia, humankind has endeavored to map the Earth's surface and identify spatial relationships. But the precision with which we can locate geographic features has increased exponentially with satellite positioning systems. Remote sensing, GIS, thematic mapping, telemetry, and satellite positioning systems such as the Global Positioning System (GPS) are tools that greatly enhance the quality and rapidity of analysis of biological resources. These technologies allow researchers, planners, and managers to more quickly and accurately determine appropriate strategies and actions. Researchers and managers can view information from new and varying perspectives using GIS and remote sensing, and GPS receivers allow the researcher or manager to identify the exact location of interest. These geospatial technologies support the mission of the U.S. Geological Survey (USGS) Biological Resources Division (BRD) and the Strategic Science Plan (BRD 1996) by providing a cost-effective and efficient method for collection, analysis, and display of information. The BRD mission is 'to work with others to provide the scientific understanding and technologies needed to support the sound management and conservation of our Nation's biological resources.' A major responsibility of the BRD is to develop and employ advanced technologies needed to synthesize, analyze, and disseminate biological and ecological information. As the Strategic Science Plan (BRD 1996) states, 'fulfilling this mission depends on effectively balancing the immediate need for information to guide management of biological resources with the need for technical assistance and long-range, strategic information to understand and predict emerging patterns and trends in ecological systems

  11. A resource-oriented architecture for a Geospatial Web

    NASA Astrophysics Data System (ADS)

    Mazzetti, Paolo; Nativi, Stefano

    2010-05-01

    In this presentation we discuss some architectural issues on the design of an architecture for a Geospatial Web, that is an information system for sharing geospatial resources according to the Web paradigm. The success of the Web in building a multi-purpose information space, has raised questions about the possibility of adopting the same approach for systems dedicated to the sharing of more specific resources, such as the geospatial information, that is information characterized by spatial/temporal reference. To this aim an investigation on the nature of the Web and on the validity of its paradigm for geospatial resources is required. The Web was born in the early 90's to provide "a shared information space through which people and machines could communicate" [Berners-Lee 1996]. It was originally built around a small set of specifications (e.g. URI, HTTP, HTML, etc.); however, in the last two decades several other technologies and specifications have been introduced in order to extend its capabilities. Most of them (e.g. the SOAP family) actually aimed to transform the Web in a generic Distributed Computing Infrastructure. While these efforts were definitely successful enabling the adoption of service-oriented approaches for machine-to-machine interactions supporting complex business processes (e.g. for e-Government and e-Business applications), they do not fit in the original concept of the Web. In the year 2000, R. T. Fielding, one of the designers of the original Web specifications, proposes a new architectural style for distributed systems, called REST (Representational State Transfer), aiming to capture the fundamental characteristics of the Web as it was originally conceived [Fielding 2000]. In this view, the nature of the Web lies not so much in the technologies, as in the way they are used. Maintaining the Web architecture conform to the REST style would then assure the scalability, extensibility and low entry barrier of the original Web. On the contrary

  12. Automated Geospatial Watershed Assessment Tool (AGWA) Poster Presentation

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment tool (AGWA, see: www.tucson.ars.ag.gov/agwa or http://www.epa.gov/esd/land-sci/agwa/) is a GIS interface jointly developed by the USDA-Agricultural Research Service, the U.S. Environmental Protection Agency, the University of Arizona...

  13. 75 FR 10309 - Announcement of National Geospatial Advisory Committee Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-05

    ... [Federal Register Volume 75, Number 43 (Friday, March 5, 2010)] [Notices] [Page 10309] [FR Doc No: 2010-4664] DEPARTMENT OF THE INTERIOR U.S. Geological Survey Announcement of National Geospatial... the implementation of Office of Management and Budget (OMB) Circular A-16. Topics to be addressed...

  14. Office of Biological Informatics and Outreach geospatial technology activities

    USGS Publications Warehouse

    ,

    1998-01-01

    The U.S. Geological Survey (USGS) Office of Biological Informatics and Outreach (OBIO) in Reston, Virginia, and its Center for Biological Informatics (CBI) in Denver, Colorado, provide leadership in the development and use of geospatial technologies to advance the Nation's biological science activities.

  15. Geospatial decision support framework for critical infrastructure interdependency assessment

    NASA Astrophysics Data System (ADS)

    Shih, Chung Yan

    Critical infrastructures, such as telecommunications, energy, banking and finance, transportation, water systems and emergency services are the foundations of modern society. There is a heavy dependence on critical infrastructures at multiple levels within the supply chain of any good or service. Any disruptions in the supply chain may cause profound cascading effect to other critical infrastructures. A 1997 report by the President's Commission on Critical Infrastructure Protection states that a serious interruption in freight rail service would bring the coal mining industry to a halt within approximately two weeks and the availability of electric power could be reduced in a matter of one to two months. Therefore, this research aimed at representing and assessing the interdependencies between coal supply, transportation and energy production. A proposed geospatial decision support framework was established and applied to analyze interdependency related disruption impact. By utilizing the data warehousing approach, geospatial and non-geospatial data were retrieved, integrated and analyzed based on the transportation model and geospatial disruption analysis developed in the research. The results showed that by utilizing this framework, disruption impacts can be estimated at various levels (e.g., power plant, county, state, etc.) for preventative or emergency response efforts. The information derived from the framework can be used for data mining analysis (e.g., assessing transportation mode usages; finding alternative coal suppliers, etc.).

  16. Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands

    SciTech Connect

    Doris, E.; Lopez, A.; Beckley, D.

    2013-02-01

    This technical report uses an established geospatial methodology to estimate the technical potential for renewable energy on tribal lands for the purpose of allowing Tribes to prioritize the development of renewable energy resources either for community scale on-tribal land use or for revenue generating electricity sales.

  17. 77 FR 52053 - Announcement of National Geospatial Advisory Committee Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-08-28

    ... established to advise the Federal Geographic Data Committee on management of Federal geospatial programs, the development of the National Spatial Data Infrastructure, and the implementation of Office of Management and Budget (OMB) Circular A-16. Topics to be addressed at the meeting include: Leadership Dialogue...

  18. Challenges of Broadening Participation in the Geospatial Technology Workforce

    NASA Astrophysics Data System (ADS)

    DiBiase, D.

    2015-12-01

    In this presentation I'll describe the geospatial technology industry and its workforce needs, in relation to the geosciences. The talk will consider the special challenge of recruiting and retaining women and under-represented minorities in high tech firms like Esri. Finally, I'll discuss what my company is doing to help realize the benefits of a diverse workforce.

  19. Geospatial Intelligence (GEOINT) and Intelligence Surveillance and Reconnaissance (ISR) convergence

    NASA Astrophysics Data System (ADS)

    Lee, Michael G.

    2013-05-01

    An examination of the potentialities, benefits and challenges of the confluence, integration and operation of Geospatial Intelligence (GEOINT) capabilities, products and techniques within the larger context of the Intelligence, Surveillance and Reconnaissance (ISR) arena, particularly in regards to persistent surveillance and Full Motion Video (FMV).

  20. An Assessment Instrument to Measure Geospatial Thinking Expertise

    ERIC Educational Resources Information Center

    Huynh, Niem Tu; Sharpe, Bob

    2013-01-01

    Spatial thinking is fundamental to the practice and theory of geography, however there are few valid and reliable assessment methods in geography to measure student performance in spatial thinking. This article presents the development and evaluation of a geospatial thinking assessment instrument to measure participant understanding of spatial…

  1. Shared Geospatial Metadata Repository for Ontario University Libraries: Collaborative Approaches

    ERIC Educational Resources Information Center

    Forward, Erin; Leahey, Amber; Trimble, Leanne

    2015-01-01

    Successfully providing access to special collections of digital geospatial data in academic libraries relies upon complete and accurate metadata. Creating and maintaining metadata using specialized standards is a formidable challenge for libraries. The Ontario Council of University Libraries' Scholars GeoPortal project, which created a shared…

  2. What Lives Where & Why? Understanding Biodiversity through Geospatial Exploration

    ERIC Educational Resources Information Center

    Trautmann, Nancy M.; Makinster, James G.; Batek, Michael

    2013-01-01

    Using an interactive map-based PDF, students learn key concepts related to biodiversity while developing data-analysis and critical-thinking skills. The Bird Island lesson provides students with experience in translating geospatial data into bar graphs, then interpreting these graphs to compare biodiversity across ecoregions on a fictional island.…

  3. Automated Geospatial Watershed Assessment (AGWA) 3.0 Software Tool

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment (AGWA) tool has been developed under an interagency research agreement between the U.S. Environmental Protection Agency, Office of Research and Development, and the U.S. Department of Agriculture, Agricultural Research Service. AGWA i...

  4. 78 FR 71638 - Announcement of National Geospatial Advisory Committee Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-29

    ....S. Geological Survey Announcement of National Geospatial Advisory Committee Meeting AGENCY: U.S... be held on December 11, 2013, from 1:00 p.m. to 5:00 p.m. e.s.t. FOR FURTHER INFORMATION CONTACT: John Mahoney, U.S. Geological Survey (206-220-4621). SUPPLEMENTARY INFORMATION: Meetings of...

  5. Geospatial evaluations of potato production systems in Maine

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Maine consistently ranks in the top ten potato (Solanum tuberosum L.) production areas though yields are substantially lower than the mid- and western USA. Geospatial frameworks help resolve patterns and trends in production environments (at multiple scales) that may enable improvements in adaptive ...

  6. A Research Agenda for Geospatial Technologies and Learning

    ERIC Educational Resources Information Center

    Baker, Tom R.; Battersby, Sarah; Bednarz, Sarah W.; Bodzin, Alec M.; Kolvoord, Bob; Moore, Steven; Sinton, Diana; Uttal, David

    2015-01-01

    Knowledge around geospatial technologies and learning remains sparse, inconsistent, and overly anecdotal. Studies are needed that are better structured; more systematic and replicable; attentive to progress and findings in the cognate fields of science, technology, engineering, and math education; and coordinated for multidisciplinary approaches.…

  7. Automated Geospatial Watershed Assessment (AGWA) Documentation Version 2.0

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment Http://www.epa.gov/nerlesd1/landsci/agwa/introduction.htm and www.tucson.ars.ag.gov/agwa) tool is a GIS interface jointly developed by the U.S. Environmental Protection Agency, USDA-Agricultural Research Service, University of Arizon...

  8. - and Cloud-Supported Geospatial Service Aggregation for Flood Response

    NASA Astrophysics Data System (ADS)

    Tan, X.; Di, L.; Deng, M.; Chen, A.; Sun, Z.; Huang, C.; Shao, Y.; Ye, X.

    2015-07-01

    Flooding caused serious losses in China in the past two decades; therefore, responding to and mitigating the impact of flooding is a task of critical importance. The traditional flood response process is usually very time-consuming and labor-intensive. The Service-Oriented Architecture SOA-based flood response is a method with low efficiency due to the large volume of geospatial data transfer, and this method cannot meet the real-time requirement of a rapid response to flooding. This paper presents an Agent- and Cloud-supported geospatial service aggregation to obtain a more efficient geospatial service system for the response to flooding. The architecture of this method is designed and deployed on the Cloud environment, and the flooding response prototype system is built on the Amazon AWS Cloud to demonstrate that the proposed method can avoid transferring large volumes of geospatial data or Big Spatial Data. Consequently, this method is able to achieve better performance than that of the SOA-based method.

  9. A study on state of Geospatial courses in Indian Universities

    NASA Astrophysics Data System (ADS)

    Shekhar, S.

    2014-12-01

    Today the world is dominated by three technologies such as Nano technology, Bio technology and Geospatial technology. This increases the huge demand for experts in the respective field for disseminating the knowledge as well as for an innovative research. Therefore, the prime need is to train the existing fraternity to gain progressive knowledge in these technologies and impart the same to student community. The geospatial technology faces some peculiar problem than other two technologies because of its interdisciplinary, multi-disciplinary nature. It attracts students and mid career professionals from various disciplines including Physics, Computer science, Engineering, Geography, Geology, Agriculture, Forestry, Town Planning and so on. Hence there is always competition to crab and stabilize their position. The students of Master's degree in Geospatial science are facing two types of problem. The first one is no unique identity in the academic field. Neither they are exempted for National eligibility Test for Lecturer ship nor given an opportunity to have the exam in geospatial science. The second one is differential treatment by the industrial world. The students are either given low grade jobs or poorly paid for their job. Thus, it is a serious issue about the future of this course in the Universities and its recognition in the academic and industrial world. The universities should make this course towards more job oriented in consultation with the Industries and Industries should come forward to share their demands and requirements to the Universities, so that necessary changes in the curriculum can be made to meet the industrial requirements.

  10. Brokered virtual hubs for facilitating access and use of geospatial Open Data

    NASA Astrophysics Data System (ADS)

    Mazzetti, Paolo; Latre, Miguel; Kamali, Nargess; Brumana, Raffaella; Braumann, Stefan; Nativi, Stefano

    2016-04-01

    Open Data is a major trend in current information technology scenario and it is often publicised as one of the pillars of the information society in the near future. In particular, geospatial Open Data have a huge potential also for Earth Sciences, through the enablement of innovative applications and services integrating heterogeneous information. However, open does not mean usable. As it was recognized at the very beginning of the Web revolution, many different degrees of openness exist: from simple sharing in a proprietary format to advanced sharing in standard formats and including semantic information. Therefore, to fully unleash the potential of geospatial Open Data, advanced infrastructures are needed to increase the data openness degree, enhancing their usability. In October 2014, the ENERGIC OD (European NEtwork for Redistributing Geospatial Information to user Communities - Open Data) project, funded by the European Union under the Competitiveness and Innovation framework Programme (CIP), has started. In response to the EU call, the general objective of the project is to "facilitate the use of open (freely available) geographic data from different sources for the creation of innovative applications and services through the creation of Virtual Hubs". The ENERGIC OD Virtual Hubs aim to facilitate the use of geospatial Open Data by lowering and possibly removing the main barriers which hampers geo-information (GI) usage by end-users and application developers. Data and services heterogeneity is recognized as one of the major barriers to Open Data (re-)use. It imposes end-users and developers to spend a lot of effort in accessing different infrastructures and harmonizing datasets. Such heterogeneity cannot be completely removed through the adoption of standard specifications for service interfaces, metadata and data models, since different infrastructures adopt different standards to answer to specific challenges and to address specific use-cases. Thus

  11. Advancing Geospatial Technologies in Science and Social Science: A Case Study in Collaborative Education

    NASA Astrophysics Data System (ADS)

    Williams, N. A.; Morris, J. N.; Simms, M. L.; Metoyer, S.

    2007-12-01

    The Advancing Geospatial Skills in Science and Social Sciences (AGSSS) program, funded by NSF, provides middle and high school teacher-partners with access to graduate student scientists for classroom collaboration and curriculum adaptation to incorporate and advance skills in spatial thinking. AGSSS Fellows aid in the delivery of geospatially-enhanced activities utilizing technology such as geographic information systems, remote sensing, and virtual globes. The partnership also provides advanced professional development for both participating teachers and fellows. The AGSSS program is mutually beneficial to all parties involved. This successful collaboration of scientists, teachers, and students results in greater understanding and enthusiasm for the use of spatial thinking strategies and geospatial technologies. In addition, the partnership produces measurable improvements in student efficacy and attitudes toward processes of spatial thinking. The teacher partner training and classroom resources provided by AGSSS will continue the integration of geospatial activities into the curriculum after the project concludes. Time and resources are the main costs in implementing this partnership. Graduate fellows invest considerable time and energy, outside of academic responsibilities, to develop materials for the classroom. Fellows are required to be available during K-12 school hours, which necessitates forethought in scheduling other graduate duties. However, the benefits far outweigh the costs. Graduate fellows gain experience in working in classrooms. In exchange, students gain exposure to working scientists and their research. This affords graduate fellows the opportunity to hone their communication skills, and specifically allows them to address the issue of translating technical information for a novice audience. Teacher-partners and students benefit by having scientific expertise readily available. In summation, these experiences result in changes in teacher

  12. Modeling photovoltaic diffusion: an analysis of geospatial datasets

    NASA Astrophysics Data System (ADS)

    Davidson, Carolyn; Drury, Easan; Lopez, Anthony; Elmore, Ryan; Margolis, Robert

    2014-07-01

    This study combines address-level residential photovoltaic (PV) adoption trends in California with several types of geospatial information—population demographics, housing characteristics, foreclosure rates, solar irradiance, vehicle ownership preferences, and others—to identify which subsets of geospatial information are the best predictors of historical PV adoption. Number of rooms, heating source and house age were key variables that had not been previously explored in the literature, but are consistent with the expected profile of a PV adopter. The strong relationship provided by foreclosure indicators and mortgage status have less of an intuitive connection to PV adoption, but may be highly correlated with characteristics inherent in PV adopters. Next, we explore how these predictive factors and model performance varies between different Investor Owned Utility (IOU) regions in California, and at different spatial scales. Results suggest that models trained with small subsets of geospatial information (five to eight variables) may provide similar explanatory power as models using hundreds of geospatial variables. Further, the predictive performance of models generally decreases at higher resolution, i.e., below ZIP code level since several geospatial variables with coarse native resolution become less useful for representing high resolution variations in PV adoption trends. However, for California we find that model performance improves if parameters are trained at the regional IOU level rather than the state-wide level. We also find that models trained within one IOU region are generally representative for other IOU regions in CA, suggesting that a model trained with data from one state may be applicable in another state.

  13. Global polar geospatial information service retrieval based on search engine and ontology reasoning

    USGS Publications Warehouse

    Chen, Nengcheng; E, Dongcheng; Di, Liping; Gong, Jianya; Chen, Zeqiang

    2007-01-01

    In order to improve the access precision of polar geospatial information service on web, a new methodology for retrieving global spatial information services based on geospatial service search and ontology reasoning is proposed, the geospatial service search is implemented to find the coarse service from web, the ontology reasoning is designed to find the refined service from the coarse service. The proposed framework includes standardized distributed geospatial web services, a geospatial service search engine, an extended UDDI registry, and a multi-protocol geospatial information service client. Some key technologies addressed include service discovery based on search engine and service ontology modeling and reasoning in the Antarctic geospatial context. Finally, an Antarctica multi protocol OWS portal prototype based on the proposed methodology is introduced.

  14. Characterizing the semantic information loss between geospatial sensors and geospatial information systems (GIS)

    NASA Astrophysics Data System (ADS)

    Blasch, Erik P.

    2011-06-01

    Geospatial Information Systems (GIS) collect, integrate, store, edit, analyze, share, and display geographic information. Naturally, GIS analysts rely on external data coming from disparate sensors to associate the sensor content (e.g. imagery) with relational databases. Inherently, these GIS sensors present differences in their data structures, labelling, ontologies, and resolution. Given different data structures, information may be lost in the transfer of information, alignment, and association of related context, which yields uncertainty in the meaning of the conveyed information. Ontology alignment typically consists of manual operations from users with different experiences and understandings and limited reporting is conducted in the quality of mappings. To assist the International Organization for Standards (ISO) in development of information quality assessment, we propose an approach using information theory for semantic uncertainty analysis. Information theory has widely been adopted in communications and provides uncertainty assessment for quality of service (QOS) analysis. Quality of information (QOI) or Information Quality (IQ) definitions for semantic assessment can be used to bridge the gap between ontology (semantic) uncertainty alignment and information theory (symbolic) analysis. Utilizing a measure of semantic information loss, analysts can improve the information fusion process, predict data needs, and appropriately understand the GIS product. This paper aims at developing a semantic information loss measure based on information theory relating GIS sensor processing uncertainties and GIS analyst syntactic associations. A maritime domain situational awareness example with waterway semantic labels is shown to demonstrate semantic information loss.

  15. A Compilation of Provisional Karst Geospatial Data for the Interior Low Plateaus Physiographic Region, Central United States

    USGS Publications Warehouse

    Taylor, Charles J.; Nelson, Hugh L.

    2008-01-01

    Geospatial data needed to visualize and evaluate the hydrogeologic framework and distribution of karst features in the Interior Low Plateaus physiographic region of the central United States were compiled during 2004-2007 as part of the Ground-Water Resources Program Karst Hydrology Initiative (KHI) project. Because of the potential usefulness to environmental and water-resources regulators, private consultants, academic researchers, and others, the geospatial data files created during the KHI project are being made available to the public as a provisional regional karst dataset. To enhance accessibility and visualization, the geospatial data files have been compiled as ESRI ArcReader data folders and user interactive Published Map Files (.pmf files), all of which are catalogued by the boundaries of surface watersheds using U.S. Geological Survey (USGS) eight-digit hydrologic unit codes (HUC-8s). Specific karst features included in the dataset include mapped sinkhole locations, sinking (or disappearing) streams, internally drained catchments, karst springs inventoried in the USGS National Water Information System (NWIS) database, relic stream valleys, and karst flow paths obtained from results of previously reported water-tracer tests.

  16. The Development of Geospatial Education and Training in North Africa

    NASA Astrophysics Data System (ADS)

    Dowman, I.; Labbassi, K.

    2014-04-01

    This paper described the progress in a project funded by the ISPRS Scientific Initiative to develop a curriculum for the African Geospatial Sciences Institute (AGSI) in Tunis. AGSI is a non profit organisation registered in Germany and has the objective of developing geospatial capacity in North Africa through training, education and the provision of facilities. The first step in the project involved a survey of potential stakeholders in North Africa in order to determine the requirements for training and education. The questionnaire sought information on the type of work which organisations in North Africa undertake, and the type of employees who are needed to fill gaps in the skill set required. It also solicited information on the type of training which is needed and the level of qualification required. The results from this questionnaire are analysed in the paper which also reports on the discussion with stakeholders at a workshop held in Tunis in March 2014, which also resulted in a draft curriculum.

  17. Emerging Geospatial Sharing Technologies in Earth and Space Science Informatics

    NASA Astrophysics Data System (ADS)

    Singh, R.; Bermudez, L. E.

    2013-12-01

    Emerging Geospatial Sharing Technologies in Earth and Space Science Informatics The Open Geospatial Consortium (OGC) mission is to serve as a global forum for the collaboration of developers and users of spatial data products and services, and to advance the development of international standards for geospatial interoperability. The OGC coordinates with over 400 institutions in the development of geospatial standards. In the last years two main trends are making disruptions in geospatial applications: mobile and context sharing. People now have more and more mobile devices to support their work and personal life. Mobile devices are intermittently connected to the internet and have smaller computing capacity than a desktop computer. Based on this trend a new OGC file format standard called GeoPackage will enable greater geospatial data sharing on mobile devices. GeoPackage is perhaps best understood as the natural evolution of Shapefiles, which have been the predominant lightweight geodata sharing format for two decades. However the format is extremely limited. Four major shortcomings are that only vector points, lines, and polygons are supported; property names are constrained by the dBASE format; multiple files are required to encode a single data set; and multiple Shapefiles are required to encode multiple data sets. A more modern lingua franca for geospatial data is long overdue. GeoPackage fills this need with support for vector data, image tile matrices, and raster data. And it builds upon a database container - SQLite - that's self-contained, single-file, cross-platform, serverless, transactional, and open source. A GeoPackage, in essence, is a set of SQLite database tables whose content and layout is described in the candidate GeoPackage Implementation Specification available at https://portal.opengeospatial.org/files/?artifact_id=54838&version=1. The second trend is sharing client 'contexts'. When a user is looking into an article or a product on the web

  18. Societal Impact of Improved Environment and Geospatial Information

    NASA Astrophysics Data System (ADS)

    Pearlman, J.; Andrzejewska, M.; Stonor, T.

    2013-12-01

    Geospatial projects are often dogged by the inability to establish a strong quantitative value proposition and are unable to sustain the attention of senior decision makers. In a tough economic climate, it is particularly important that any project that requires a significant investment can show a clear Return on Investment (ROI). In the case of commerce, benefit can be quantified through increase in sales/profit or reduction of risk. In the case of societal impact, quantification is more challenging. At the Geospatial World Forum (GWF) 2013 in Rotterdam, a number of case studies were presented on social impacts which used differing approaches to impact assessment. Some of the cases discussed projects with community issues and explained alternative means of conflict resolution. However, a comparison of the different case studies was not made at the GWF meeting. This presentation will take the next step and address the commonalities and differences in the approaches.

  19. Findability : Making Geospatial Data on the Web Mainstream

    NASA Astrophysics Data System (ADS)

    Parsons, E.

    2014-12-01

    For too long the fields of GIS and Geoinformatics have been isolated from developments in mainstream information science and in particular the development of standard web protocols for information discovery and access. While concepts such as Spatial Data Infrastructures (SDI) offered the concept of integrated datasets and services, in practice, different SDI's do not interoperate well, despite considerable emphasis on comprehensive metadata creation. An alternative approach may be the use of developing web technologies which are generally described as following a Linked Data approach. This talk will look at the opportunities linked data technologies in particular the development of simple microdata formats by schema.org offer publishers of geospatial information, with the aim of making such information discoverable and accessible on the web. Berners-Lee's concept of five star open data will also be discussed as it reaches it's fifth anniversary, to what extent is the geospatial community a good citizen of the web?

  20. NativeView: A Geospatial Curriculum for Native Nation Building

    NASA Astrophysics Data System (ADS)

    Rattling Leaf, J.

    2007-12-01

    In the spirit of collaboration and reciprocity, James Rattling Leaf of Sinte Gleska University on the Rosebud Reservation of South Dakota will present recent developments, experiences, insights and a vision for education in Indian Country. As a thirty-year young institution, Sinte Gleska University is founded by a strong vision of ancestral leadership and the values of the Lakota Way of Life. Sinte Gleska University (SGU) has initiated the development of a Geospatial Education Curriculum project. NativeView: A Geospatial Curriculum for Native Nation Building is a two-year project that entails a disciplined approach towards the development of a relevant Geospatial academic curriculum. This project is designed to meet the educational and land management needs of the Rosebud Lakota Tribe through the utilization of Geographic Information Systems (GIS), Remote Sensing (RS) and Global Positioning Systems (GPS). In conjunction with the strategy and progress of this academic project, a formal presentation and demonstration of the SGU based Geospatial software RezMapper software will exemplify an innovative example of state of the art information technology. RezMapper is an interactive CD software package focused toward the 21 Lakota communities on the Rosebud Reservation that utilizes an ingenious concept of multimedia mapping and state of the art data compression and presentation. This ongoing development utilizes geographic data, imagery from space, historical aerial photography and cultural features such as historic Lakota documents, language, song, video and historical photographs in a multimedia fashion. As a tangible product, RezMapper will be a project deliverable tool for use in the classroom and to a broad range of learners.

  1. Progress of Interoperability in Planetary Research for Geospatial Data Analysis

    NASA Astrophysics Data System (ADS)

    Hare, T. M.; Gaddis, L. R.

    2015-12-01

    For nearly a decade there has been a push in the planetary science community to support interoperable methods of accessing and working with geospatial data. Common geospatial data products for planetary research include image mosaics, digital elevation or terrain models, geologic maps, geographic location databases (i.e., craters, volcanoes) or any data that can be tied to the surface of a planetary body (including moons, comets or asteroids). Several U.S. and international cartographic research institutions have converged on mapping standards that embrace standardized image formats that retain geographic information (e.g., GeoTiff, GeoJpeg2000), digital geologic mapping conventions, planetary extensions for symbols that comply with U.S. Federal Geographic Data Committee cartographic and geospatial metadata standards, and notably on-line mapping services as defined by the Open Geospatial Consortium (OGC). The latter includes defined standards such as the OGC Web Mapping Services (simple image maps), Web Feature Services (feature streaming), Web Coverage Services (rich scientific data streaming), and Catalog Services for the Web (data searching and discoverability). While these standards were developed for application to Earth-based data, they have been modified to support the planetary domain. The motivation to support common, interoperable data format and delivery standards is not only to improve access for higher-level products but also to address the increasingly distributed nature of the rapidly growing volumes of data. The strength of using an OGC approach is that it provides consistent access to data that are distributed across many facilities. While data-steaming standards are well-supported by both the more sophisticated tools used in Geographic Information System (GIS) and remote sensing industries, they are also supported by many light-weight browsers which facilitates large and small focused science applications and public use. Here we provide an

  2. Leveraging Industry Standards for GeoSpatial Portal Development

    NASA Astrophysics Data System (ADS)

    Zimble, D.; Garegnani, J. J.

    2005-12-01

    Rapid advances in mainstream IT data sharing techniques through the leveraging of mainstream IT standards such as the World Wide Web Consortium (W3C) extensible markup language (XML), simple object access protocol (SOAP) based web services and the Java Community Process (JCP) driven portlet technology (JSR-0168) in addition to the wide adoption of Open Geospatial Consortium (OGC) GIS web service specifications (WMS, WFS, WCS, WMC, CS-W etc.) are intersecting within commercial GIS technologies. For example, the next generation GIS Portal technology for the U.S. Government's Geospatial One-Stop has been developed to help establish an industrial strength geospatial portal that can be used as the primary U.S. Government coordinating portal for geospatial related activities. In addition to these technologies providing common highly interoperable portals, heavier desktop and server applications are further integrating technologies that will enable the scientific communities to link into these mainstream information portals. By example, we will discuss the incorporation of the Open Source scripting language known as Python into the commercial GIS platform both on the desktop and on the server. For example, users have already developed python code that can be deployed providing the GIS user access to large repositories of scientific multidimensional data via the OpeNDAP protocol that can be incorporated into the GIS analysis and workflow. Additional development in the support of NetCDF and in the future additional scientific data formats will expand the use of such formats within the GIS community. This presentation will provide an overview and demonstrations of these technologies and how they are relevant to the Earth and Space Science Informatics Community.

  3. Like-feature detection in geo-spatial sources

    NASA Astrophysics Data System (ADS)

    Samal, Ashok; Seth, Sharad; Cueto, Kevin

    2001-06-01

    The emergence of a new generation of satellites, increased dependence on computer-aided cartography, and conversion of paper-based maps along with the universal acceptance of the World Wide Web as a distribution medium, has resulted in widespread availability of geospatial data. Geospatial information systems have the potential to use this wealth of data to provide high-level decision support in important military, agricultural, urban planning, transportation and environmental monitoring applications. There are many challenges to take full advantage of this geo-spatial data collection. The first step in integration is to determine the correspondence between features in different sources. This problem, called like-feature detection is addressed in this paper. In addition to using the individual attributes of features, we use the geographic context abstracted as proximity graphs, to improve the matching process. The proximity graph models the surroundings of a feature in a source and provides a measure of similarity between features in two sources. Pair-wise similarity between features of two sources is then extended to multiple sources in a graph- theoretic framework. Experiments conducted to demonstrate the viability of our approach using a variety of data sources including satellite imagery, maps, and gazetteers show that the approach is effective.

  4. Temporal geospatial analysis of secondary school students’ examination performance

    NASA Astrophysics Data System (ADS)

    Nik Abd Kadir, ND; Adnan, NA

    2016-06-01

    Malaysia's Ministry of Education has improved the organization of the data to have the geographical information system (GIS) school database. However, no further analysis is done using geospatial analysis tool. Mapping has emerged as a communication tool and becomes effective way to publish the digital and statistical data such as school performance results. The objective of this study is to analyse secondary school student performance of science and mathematics scores of the Sijil Pelajaran Malaysia Examination result in the year 2010 to 2014 for the Kelantan's state schools with the aid of GIS software and geospatial analysis. The school performance according to school grade point average (GPA) from Grade A to Grade G were interpolated and mapped and query analysis using geospatial tools able to be done. This study will be beneficial to the education sector to analyse student performance not only in Kelantan but to the whole Malaysia and this will be a good method to publish in map towards better planning and decision making to prepare young Malaysians for the challenges of education system and performance.

  5. A Hybrid Classification Scheme for Mining Multisource Geospatial Data

    SciTech Connect

    Vatsavai, Raju; Bhaduri, Budhendra L

    2007-01-01

    Supervised learning methods such as Maximum Likelihood (ML) are often used in land cover (thematic) classification of remote sensing imagery. ML classifier relies exclusively on spectral characteristics of thematic classes whose statistical distributions are often overlapping. The spectral response distributions of thematic classes are dependent on many factors including elevation, soil types, and atmospheric conditions present at the time of data acquisition. A second problem with statistical classifiers is the requirement of large number of accurate training samples, which are often costly and time consuming to acquire over large geographic regions. With the increasing availability of geospatial databases, it is possible to exploit the knowledge derived from these ancillary datasets to improve classification accuracies even when the class distributions are highly overlapping. Likewise newer semi-supervised techniques can be adopted to improve the parameter estimates of statistical model by utilizing a large number of easily available unlabeled training samples. Unfortunately there is no convenient multivariate statistical model that can be employed for mulitsource geospatial databases. In this paper we present a hybrid semi-supervised learning algorithm that effectively exploits freely available unlabeled training samples from multispectral remote sensing images and also incorporates ancillary geospatial databases. We have conducted several experiments on real datasets, and our new hybrid approach shows over 15% improvement in classification accuracy over conventional classification schemes.

  6. Supporting the Temporal Dimension in Geospatial Information Interoperability

    NASA Astrophysics Data System (ADS)

    Falke, S.; Ressler, J.

    2006-05-01

    In 2005-06, a study on temporal geospatial standards and technology was undertaken by the National Technology Alliance. The project, called Temporal Evaluation and Assessment, examined challenges in accessing, processing, analyzing and visualizing temporal characteristics of geospatial data. Service oriented architecture principles were applied in developing prototype web services based on web standards, including specifications from the Open Geospatial Consortium. The prototypes were tested through a series of demonstrations. Questions addressed included detection , data modeling and depiction of change in features over time, both static and moving; collection and reporting sensor observations; use of web services with temporal interfaces; application of the Geography Markup Language (GML) to temporal features; comparison of imagery changes over time; search and retrieval of spatiotemporal data from multiple sources. Some of the key results from these demonstrations were in the areas of spatiotemporal data modeling, multi- source analysis of temporal images, features, moving features and sensor time-value data, exchange formats and workflow for feature updates, the use of catalogs to search and retrieve spatiotemporal data sources. The recommendations from the temporal evaluation were provided to standards organizations and technology developers. This paper describes the results of the research, the state of standards and technology, and future recommendations for using spatiotemporal data in a service oriented architecture.

  7. Sonify the Satellites: Auditory Display of Geospatial Data

    NASA Astrophysics Data System (ADS)

    Childs, E. P.; Elmore, A. J.

    2005-12-01

    Auditory display, in which data is mapped to musically-engineered sound, is here proposed as an innovative technique for the analysis and exploration of complex geospatial data sets. This project addresses the specific need for technology solutions that will assist in the analysis and interpretation of Sun-Earth Science data and decision support tools for land, air and water issues. Until now, processing of remotely-sensed data sets to knowledge products for perception and decision-making has been executed primarily through scientific analysis, aggregation and visual display. Visual displays, however, are limited in the number of dimensions available for data. Furthermore, even when knowledge products derived from remote sensing data (vegetation indices or other vegetation modeling results) are used, a formidable task remains to correlate vegetation information in each pixel with climactic and anthropogenic drivers, using only visual displays. The authors describe a collaborative project for applying existing auditory display and headphone spatialization technologies together with a validation procedure using an existing and well-understood geospatial data set, and psychological testing, to evaluate quantitatively the efficacy of auditory display as a technology for analyzing geospatial data sets. Additional projects in the sonification of severe weather data, computational fluid dynamic data and complex financial data will be presented as illustrative examples.

  8. Multi-source Geospatial Data Analysis with Google Earth Engine

    NASA Astrophysics Data System (ADS)

    Erickson, T.

    2014-12-01

    The Google Earth Engine platform is a cloud computing environment for data analysis that combines a public data catalog with a large-scale computational facility optimized for parallel processing of geospatial data. The data catalog is a multi-petabyte archive of georeferenced datasets that include images from Earth observing satellite and airborne sensors (examples: USGS Landsat, NASA MODIS, USDA NAIP), weather and climate datasets, and digital elevation models. Earth Engine supports both a just-in-time computation model that enables real-time preview and debugging during algorithm development for open-ended data exploration, and a batch computation mode for applying algorithms over large spatial and temporal extents. The platform automatically handles many traditionally-onerous data management tasks, such as data format conversion, reprojection, and resampling, which facilitates writing algorithms that combine data from multiple sensors and/or models. Although the primary use of Earth Engine, to date, has been the analysis of large Earth observing satellite datasets, the computational platform is generally applicable to a wide variety of use cases that require large-scale geospatial data analyses. This presentation will focus on how Earth Engine facilitates the analysis of geospatial data streams that originate from multiple separate sources (and often communities) and how it enables collaboration during algorithm development and data exploration. The talk will highlight current projects/analyses that are enabled by this functionality.https://earthengine.google.org

  9. Survival analysis of geospatial factors in the Irish ALS cohort.

    PubMed

    Rooney, James; Heverin, Mark; Vajda, Alice; Burke, Tom; Galvin, Miriam; Tobin, Katy; Elamin, Marwa; Staines, Anthony; Hardiman, Orla

    Variations in environmental risk factors potentially influence incidence and progression in complex multifactorial diseases. Few studies have examined the association of survival in amyotrophic lateral sclerosis (ALS) with environmental geospatial variables. Here we use data from the Irish ALS cohort to perform such an analysis. Geographic data sources were used to generate small area values for four geospatial variables (population density, social deprivation, distance to coast, and distance to ALS multidisciplinary (MDT) clinic) for each ALS case on the Irish ALS register. These were combined with follow-up data and used as covariates in Royston-Parmar regression survival analysis including age of onset, site of onset, diagnostic delay, riluzole prescription and MDT clinic attendance as covariates. One thousand, two hundred and thirty-two patients with median survival of 2.31 years from disease onset were included. After addition of the individual geospatial variables in turn, none of the four variables was found to be associated with survival with a p-value <0.05. The results may reflect the public healthcare system that provides riluzole prescription and access to the MDT to all patients free of charge, and is also congruent with our recent finding that social deprivation is not associated with ALS incidence in Ireland.

  10. Wetland assessment, monitoring and management in India using geospatial techniques.

    PubMed

    Garg, J K

    2015-01-15

    Satellite remote sensing and GIS have emerged as the most powerful tools for inventorying, monitoring and management of natural resources and environment. In the special context of wetland ecosystems, remotely sensed data from orbital platforms have been extensively used in India for the inventory, monitoring and preparation of action plans for conservation and management. First scientific inventory of wetlands in India was carried out in 1998 by Space Applications Centre (ISRO), Ahmedabad using indigenous IRS (Indian Remote Sensing Satellite) data of 1992-93 timeframe, which stimulated extensive use of geospatial techniques for wetland conservation and management. Subsequently, with advances in GIS, studies were carried out for development of Wetland Information System for a state (West Bengal) and for Loktak lake wetland (a Ramsar site) as a prelude to National Wetland Information System. Research has also been carried out for preparation of action plans especially for Ramsar sites in the country. In a novel research, use of the geospatial technology has also been demonstrated for biodiversity conservation using landscape ecological metrics. A country-wide estimate of emission of methane, a Green House Gas, from wetlands has also been made using MODIS data. Present article critically reviews the work carried out in India for wetland conservation and management using geospatial techniques.

  11. The growing role of web-based geospatial technology in disaster response and support.

    PubMed

    Kawasaki, Akiyuki; Berman, Merrick Lex; Guan, Wendy

    2013-04-01

    This paper examines changes in disaster response and relief efforts and recent web-based geospatial technological developments through an evaluation of the experiences of the Center for Geographic Analysis, Harvard University, of the Sichuan (2008) and Haiti (2010) earthquake responses. This paper outlines how conventional GIS (geographic information systems) disaster responses by governmental agencies and relief response organisations and the means for geospatial data-sharing have been transformed into a more dynamic, more transparent, and decentralised form with a wide participation. It begins by reviewing briefly at historical changes in the employment of geospatial technologies in major devastating disasters, including the Sichuan and Haiti earthquakes (case studies for our geospatial portal project). It goes on to assess changes in the available dataset type and in geospatial disaster responders, as well as the impact of geospatial technological changes on disaster relief effort. Finally, the paper discusses lessons learned from recent responses and offers some thoughts for future development.

  12. Crowdsourced Geospatial Data: A Report on the Emerging Phenomena of Crowdsourced and User-Generated Geospatial Data

    DTIC Science & Technology

    2012-11-01

    business, and government met in Santa Barbara, California to discuss strategic ad- vancements in geographic information science. The focus of the meeting...gency management. Any emerging trend in geospatial data management, data sharing, and data integration, would be effectively focused by best use...Barbara wildfires (2007-2009), and the Haitian Earthquake (January 2010) focused international attention on the imme- diate need for maps and

  13. Nebhydro: Sharing Geospatial Data to Supportwater Management in Nebraska

    NASA Astrophysics Data System (ADS)

    Kamble, B.; Irmak, A.; Hubbard, K.; Deogun, J.; Dvorak, B.

    2012-12-01

    Recent advances in web-enabled geographical technologies have the potential to make a dramatic impact on development of highly interactive spatial applications on the web for visualization of large-scale geospatial data by water resources and irrigation scientists. Spatial and point scale water resources data visualization are an emerging and challenging application domain. Query based visual explorations of geospatial hydrological data can play an important role in stimulating scientific hypotheses and seeking causal relationships among hydro variables. The Nebraska Hydrological Information System (NebHydro) utilizes ESRI's ArcGIS server technology to increase technological awareness among farmers, irrigation managers and policy makers. Web-based geospatial applications are an effective way to expose scientific hydrological datasets to the research community and the public. NebHydro uses Adobe Flex technology to offer an online visualization and data analysis system for presentation of social and economic data. Internet mapping services is an integrated product of GIS and Internet technologies; it is a favored solution to achieve the interoperability of GIS. The development of Internet based GIS services in the state of Nebraska showcases the benefits of sharing geospatial hydrological data among agencies, resource managers and policy makers. Geospatial hydrological Information (Evapotranspiration from Remote Sensing, vegetation indices (NDVI), USGS Stream gauge data, Climatic data etc.) is generally generated through model simulation (METRIC, SWAP, Linux, Python based scripting etc). Information is compiled into and stored within object oriented relational spatial databases using a geodatabase information model that supports the key data types needed by applications including features, relationships, networks, imagery, terrains, maps and layers. The system provides online access, querying, visualization, and analysis of the hydrological data from several sources

  14. Geospatial Information from Satellite Imagery for Geovisualisation of Smart Cities in India

    NASA Astrophysics Data System (ADS)

    Mohan, M.

    2016-06-01

    In the recent past, there have been large emphasis on extraction of geospatial information from satellite imagery. The Geospatial information are being processed through geospatial technologies which are playing important roles in developing of smart cities, particularly in developing countries of the world like India. The study is based on the latest geospatial satellite imagery available for the multi-date, multi-stage, multi-sensor, and multi-resolution. In addition to this, the latest geospatial technologies have been used for digital image processing of remote sensing satellite imagery and the latest geographic information systems as 3-D GeoVisualisation, geospatial digital mapping and geospatial analysis for developing of smart cities in India. The Geospatial information obtained from RS and GPS systems have complex structure involving space, time and presentation. Such information helps in 3-Dimensional digital modelling for smart cities which involves of spatial and non-spatial information integration for geographic visualisation of smart cites in context to the real world. In other words, the geospatial database provides platform for the information visualisation which is also known as geovisualisation. So, as a result there have been an increasing research interest which are being directed to geospatial analysis, digital mapping, geovisualisation, monitoring and developing of smart cities using geospatial technologies. However, the present research has made an attempt for development of cities in real world scenario particulary to help local, regional and state level planners and policy makers to better understand and address issues attributed to cities using the geospatial information from satellite imagery for geovisualisation of Smart Cities in emerging and developing country, India.

  15. Geospatial considerations for a multi-organization landscape-scale program

    USGS Publications Warehouse

    O'Donnell, Michael S.; Assal, Timothy J.; Anderson, Patrick J.; Bowen, Zachary H.

    2013-01-01

    Geospatial data play an increasingly important role in natural resources management, conservation, and science-based projects. The management and effective use of spatial data becomes significantly more complex when the efforts involve a myriad of landscape-scale projects combined with a multiorganizational collaboration. There is sparse literature to guide users on this daunting subject; therefore, we present a framework of considerations for working with geospatial data that will provide direction to data stewards, scientists, collaborators, and managers for developing geospatial management plans. The concepts we present apply to a variety of geospatial programs or projects, which we describe as a “scalable framework” of processes for integrating geospatial efforts with management, science, and conservation initiatives. Our framework includes five tenets of geospatial data management: (1) the importance of investing in data management and standardization, (2) the scalability of content/efforts addressed in geospatial management plans, (3) the lifecycle of a geospatial effort, (4) a framework for the integration of geographic information systems (GIS) in a landscape-scale conservation or management program, and (5) the major geospatial considerations prior to data acquisition. We conclude with a discussion of future considerations and challenges.

  16. Ontology for Transforming Geo-Spatial Data for Discovery and Integration of Scientific Data

    NASA Astrophysics Data System (ADS)

    Nguyen, L.; Chee, T.; Minnis, P.

    2013-12-01

    Discovery and access to geo-spatial scientific data across heterogeneous repositories and multi-discipline datasets can present challenges for scientist. We propose to build a workflow for transforming geo-spatial datasets into semantic environment by using relationships to describe the resource using OWL Web Ontology, RDF, and a proposed geo-spatial vocabulary. We will present methods for transforming traditional scientific dataset, use of a semantic repository, and querying using SPARQL to integrate and access datasets. This unique repository will enable discovery of scientific data by geospatial bound or other criteria.

  17. Geospatial Modeling of Asthma Population in Relation to Air Pollution

    NASA Technical Reports Server (NTRS)

    Kethireddy, Swatantra R.; Tchounwou, Paul B.; Young, John H.; Luvall, Jeffrey C.; Alhamdan, Mohammad

    2013-01-01

    Current observations indicate that asthma is growing every year in the United States, specific reasons for this are not well understood. This study stems from an ongoing research effort to investigate the spatio-temporal behavior of asthma and its relatedness to air pollution. The association between environmental variables such as air quality and asthma related health issues over Mississippi State are investigated using Geographic Information Systems (GIS) tools and applications. Health data concerning asthma obtained from Mississippi State Department of Health (MSDH) for 9-year period of 2003-2011, and data of air pollutant concentrations (PM2.5) collected from USEPA web resources, and are analyzed geospatially to establish the impacts of air quality on human health specifically related to asthma. Disease mapping using geospatial techniques provides valuable insights into the spatial nature, variability, and association of asthma to air pollution. Asthma patient hospitalization data of Mississippi has been analyzed and mapped using quantitative Choropleth techniques in ArcGIS. Patients have been geocoded to their respective zip codes. Potential air pollutant sources of Interstate highways, Industries, and other land use data have been integrated in common geospatial platform to understand their adverse contribution on human health. Existing hospitals and emergency clinics are being injected into analysis to further understand their proximity and easy access to patient locations. At the current level of analysis and understanding, spatial distribution of Asthma is observed in the populations of Zip code regions in gulf coast, along the interstates of south, and in counties of Northeast Mississippi. It is also found that asthma is prevalent in most of the urban population. This GIS based project would be useful to make health risk assessment and provide information support to the administrators and decision makers for establishing satellite clinics in future.

  18. Collaborative Geospatial Data as Applied to Disaster Relief: Haiti 2010

    NASA Astrophysics Data System (ADS)

    Clark, A. J.; Holliday, Patton; Chau, Robyn; Eisenberg, Harris; Chau, Melinda

    The aftermath of Haiti's January 12 earthquake typified disaster relief in that efficiency and situational awareness were reduced by the chaotic, uncoordinated influx of relief and aid. The lack of an environment in which information could be shared was a major component of this chaos. The application of geographic information (GIS) technology was a significant contribution to the relief efforts due to the centrality of location to issues of danger, resources, safety, communications, and so on, and due to the universal understanding of information rendered geospatially using 3-D globes.

  19. Geospatial Products and Techniques at the Center for Transportation Analysis

    SciTech Connect

    Chin, Shih-Miao; Hwang, Ho-Ling; Peterson, Bruce E

    2008-01-01

    This paper highlights geospatial science-related innovations and developments conducted by the Center for Transportation Analysis (CTA) at the Oak Ridge National Laboratory. CTA researchers have been developing integrated inter-modal transportation solutions through innovative and cost-effective research and development for many years. Specifically, this paper profiles CTA-developed Geographic Information System (GIS) products that are publicly available. Examples of these GIS-related products include: the CTA Transportation Networks; GeoFreight system; and the web-based Multi-Modal Routing Analysis System. In addition, an application on assessment of railroad Hazmat routing alternatives is also discussed.

  20. Geospatial Analysis and Technical Assistance for Power Plant Siting Interagency

    SciTech Connect

    Neher, L A

    2002-03-07

    The focus of this contract (in the summer and fall of 2001) was originally to help the California Energy Commission (CEC) locate and evaluate potential sites for electric power generation facilities and to assist the CEC in addressing areas of congestion on transmission lines and natural gas supply line corridors. Subsequent events have reduced the immediate urgency, although not the ultimate need for such analyses. Software technology for deploying interactive geographic information systems (GIS) accessible over the Internet have developed to the point that it is now practical to develop and publish GIS web sites that have substantial viewing, movement, query, and even map-making capabilities. As part of a separate project not funded by the CEC, the GIS Center at LLNL, on an experimental basis, has developed a web site to explore the technical difficulties as well as the interest in such a web site by agencies and others concerned with energy research. This exploratory effort offers the potential or developing an interactive GIS web site for use by the CEC for energy research, policy analysis, site evaluation, and permit and regulatory matters. To help ground the geospatial capabilities in the realistic requirements and needs of the CEC staff, the CEC requested that the GIS Center conduct interviews of several CEC staff persons to establish their current and envisioned use of spatial data and requirements for geospatial analyses. This survey will help define a web-accessible central GIS database for the CEC, which will augment the well-received work of the CEC Cartography Unit. Individuals within each siting discipline have been contacted and their responses to three question areas have been summarized. The web-based geospatial data and analytical tools developed within this project will be available to CEC staff for initial area studies, queries, and informal, small-format maps. It is not designed for fine cartography or for large-format posters such as the

  1. Global grid systems for geospatial information: status and thinking

    NASA Astrophysics Data System (ADS)

    Ben, Jin; Tong, Xiaochong; Ji, Song

    2007-06-01

    After brief explanation of the origin of the grid, the author firstly points out the multi-resolution partition of geo-space, which is the basic issue of the specialized spatial information grid, relates to the globe directly as the region of interest expands. And the global grid system is an efficient way to solve problems on spheres. Secondly, the author introduces achievements on geospatial information global grid systems which based on both traditional geographic coordinate system and regular, multi-resolution partitions of polyhedra. At last, this author point out the problems that remains to be studied in this field.

  2. Real Time Semantic Interoperability in AD HOC Networks of Geospatial Data Sources: Challenges, Achievements and Perspectives

    NASA Astrophysics Data System (ADS)

    Mostafavi, M. A.; Bakillah, M.

    2012-07-01

    Recent advances in geospatial technologies have made available large amount of geospatial data. Meanwhile, new developments in Internet and communication technologies created a shift from isolated geospatial databases to ad hoc networks of geospatial data sources, where data sources can join or leave the network, and form groups to share data and services. However, effective integration and sharing of geospatial data among these data sources and their users are hampered by semantic heterogeneities. These heterogeneities affect the spatial, temporal and thematic aspects of geospatial concepts. There have been many efforts to address semantic interoperability issues in the geospatial domain. These efforts were mainly focused on resolving heterogeneities caused by different and implicit representations of the concepts. However, many approaches have focused on the thematic aspects, leaving aside the explicit representation of spatial and temporal aspects. Also, most semantic interoperability approaches for networks have focused on automating the semantic mapping process. However, the ad hoc network structure is continuously modified by source addition or removal, formation of groups, etc. This dynamic aspect is often neglected in those approaches. This paper proposes a conceptual framework for real time semantic interoperability in ad hoc networks of geospatial data sources. The conceptual framework presents the fundamental elements of real time semantic interoperability through a hierarchy of interrelated semantic states and processes. Then, we use the conceptual framework to set the discussion on the achievements that have already been made, the challenges that remain to be addressed and perspectives with respect to these challenges.

  3. The Efficacy of Educative Curriculum Materials to Support Geospatial Science Pedagogical Content Knowledge

    ERIC Educational Resources Information Center

    Bodzin, Alec; Peffer, Tamara; Kulo, Violet

    2012-01-01

    Teaching and learning about geospatial aspects of energy resource issues requires that science teachers apply effective science pedagogical approaches to implement geospatial technologies into classroom instruction. To address this need, we designed educative curriculum materials as an integral part of a comprehensive middle school energy…

  4. Mapping and monitoring potato cropping systems in Maine: geospatial methods and land use assessments

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Geospatial frameworks and GIS-based approaches were used to assess current cropping practices in potato production systems in Maine. Results from the geospatial integration of remotely-sensed cropland layers (2008-2011) and soil datasets for Maine revealed a four-year potato systems footprint estima...

  5. The Sky's the Limit: Integrating Geospatial Tools with Pre-College Youth Education

    ERIC Educational Resources Information Center

    McGee, John; Kirwan, Jeff

    2010-01-01

    Geospatial tools, which include global positioning systems (GPS), geographic information systems (GIS), and remote sensing, are increasingly driving a variety of applications. Local governments and private industry are embracing these tools, and the public is beginning to demand geospatial services. The U.S. Department of Labor (DOL) reported that…

  6. The Impact of Professional Development in Natural Resource Investigations Using Geospatial Technologies

    ERIC Educational Resources Information Center

    Hanley, Carol D.; Davis, Hilarie B.; Davey, Bradford T.

    2012-01-01

    As use of geospatial technologies has increased in the workplace, so has interest in using these technologies in the K-12 classroom. Prior research has identified several reasons for using geospatial technologies in the classroom, such as developing spatial thinking, supporting local investigations, analyzing changes in the environment, and…

  7. Strategizing Teacher Professional Development for Classroom Uses of Geospatial Data and Tools

    ERIC Educational Resources Information Center

    Zalles, Daniel R.; Manitakos, James

    2016-01-01

    Studying Topography, Orographic Rainfall, and Ecosystems with Geospatial Information Technology (STORE), a 4.5-year National Science Foundation funded project, explored the strategies that stimulate teacher commitment to the project's driving innovation: having students use geospatial information technology (GIT) to learn about weather, climate,…

  8. The Design of Geo-Spatial Metadata Architecture for Digital Boundary

    NASA Astrophysics Data System (ADS)

    Zhao, J.-X.; Zhang, J.; Cao, Y.-B.

    2013-11-01

    This paper analyzes the significance of geospatial metadata technology in the "Digital Boundary" project. In the study of boundary data types and characteristics, the architecture framework of geospatial metadata is designed. It lays foundation for establishing detailed content of all kinds of metadata as the next step.

  9. Mapping the Future Today: The Community College of Baltimore County Geospatial Applications Program

    ERIC Educational Resources Information Center

    Jeffrey, Scott; Alvarez, Jaime

    2010-01-01

    The Geospatial Applications Program at the Community College of Baltimore County (CCBC), located five miles west of downtown Baltimore, Maryland, provides comprehensive instruction in geographic information systems (GIS), remote sensing and global positioning systems (GPS). Geospatial techniques, which include computer-based mapping and remote…

  10. 75 FR 39272 - Call for Nominations to the National Geospatial Advisory Committee

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-08

    ....S. Geological Survey Call for Nominations to the National Geospatial Advisory Committee AGENCY: U.S. Geological Survey, Interior. ACTION: Call for Nominations, National Geospatial Advisory Committee. SUMMARY... electronically to ngacnominations@fgdc.gov , or by mail to John Mahoney, U.S. Geological Survey, U.S....

  11. Towards the Geospatial Web: Media Platforms for Managing Geotagged Knowledge Repositories

    NASA Astrophysics Data System (ADS)

    Scharl, Arno

    International media have recognized the visual appeal of geo-browsers such as NASA World Wind and Google Earth, for example, when Web and television coverage on Hurricane Katrina used interactive geospatial projections to illustrate its path and the scale of destruction in August 2005. Yet these early applications only hint at the true potential of geospatial technology to build and maintain virtual communities and to revolutionize the production, distribution and consumption of media products. This chapter investigates this potential by reviewing the literature and discussing the integration of geospatial and semantic reference systems, with an emphasis on extracting geospatial context from unstructured text. A content analysis of news coverage based on a suite of text mining tools (webLyzard) sheds light on the popularity and adoption of geospatial platforms.

  12. Ontology-based geospatial data query and integration

    USGS Publications Warehouse

    Zhao, T.; Zhang, C.; Wei, M.; Peng, Z.-R.

    2008-01-01

    Geospatial data sharing is an increasingly important subject as large amount of data is produced by a variety of sources, stored in incompatible formats, and accessible through different GIS applications. Past efforts to enable sharing have produced standardized data format such as GML and data access protocols such as Web Feature Service (WFS). While these standards help enabling client applications to gain access to heterogeneous data stored in different formats from diverse sources, the usability of the access is limited due to the lack of data semantics encoded in the WFS feature types. Past research has used ontology languages to describe the semantics of geospatial data but ontology-based queries cannot be applied directly to legacy data stored in databases or shapefiles, or to feature data in WFS services. This paper presents a method to enable ontology query on spatial data available from WFS services and on data stored in databases. We do not create ontology instances explicitly and thus avoid the problems of data replication. Instead, user queries are rewritten to WFS getFeature requests and SQL queries to database. The method also has the benefits of being able to utilize existing tools of databases, WFS, and GML while enabling query based on ontology semantics. ?? 2008 Springer-Verlag Berlin Heidelberg.

  13. Utilizing Use Cases for Valuation of Geospatial Information

    NASA Astrophysics Data System (ADS)

    Kruse, J. B.

    2015-12-01

    The expanding investment and use of earth observations by government entities and private industry is a hallmark of the 21st century. Today in the U.S. alone, civil earth observations estimated funding in 2014 included 2.5 billion in satellite systems and more than 1 billion for airborne, terrestrial, and marine networks and surveys [OSTP, 2014]. There is universal agreement that legacy systems such as Landsat, NEXRAD, GOES, and others) have contributed to the protection and quality of life. However, standardized practices have yet to be established for measuring the contribution to society of these and other systems. Further, the value of proposed new geospatial information systems may be embedded in uses that have yet to be realized. We explore construction of use cases that have been used traditionally to characterize process elements as a method to establish the value of current and future geospatial information systems. We will focus on two important areas: Disasters and Ecosystems. These areas are from among the nine GEO Societal Benefits areas, the twelve Societal Benefit Areas in the US National Plan for Civil Earth Observations (2014), the four Program Areas of NASA Applied Sciences, and the six program areas of the USGS Science strategy.

  14. Geopackage Data Format for Collaborativemapping of Geospatial Datain Limited Networkenvironments

    NASA Astrophysics Data System (ADS)

    Rashidan, M. H.; Musliman, I. A.; Rahman, A. A.

    2016-09-01

    With the growth of technology in earth and space science informatics has led to the revolution in a wide range of geospatial practice. Nowadays collaborative mapping has become a new hot spot, following mobile and web GIS. This paper explores the potential use of GeoPackage for collaborative mapping of geospatial data in limited network environments. GeoPackage is a data format that open-standard, platform-independent, portable, and self-describing. This paper focus on the implementation of GeoPackage in mobile application for field data collection. A mobile application was developed that implements the GeoPackage data format as an internal database to provide support for offline mapping. The developed mobile application demonstrates that vector and raster data can be stored in a single data format, which reduces the device storage consumption. The details of how GeoPackage data contribute to mobile GIS to achieve collaborative mapping in limited network environments are discussed. The findings show that the GeoPackage data format has great potential to improve existing mobile GIS applications.

  15. Geospatial Visualization of Global Satellite Images with Vis-EROS

    SciTech Connect

    Standart, G. D.; Stulken, K. R.; Zhang, Xuesong; Zong, Ziliang

    2011-04-13

    The Earth Resources Observation and Science (EROS) Center of U.S. Geological Survey is currently managing and maintaining the world largest satellite images distribution system, which provides 24/7 free download service for researchers all over the globe in many areas such as Geology, Hydrology, Climate Modeling, and Earth Sciences. A large amount of geospatial data contained in satellite images maintained by EROS is generated every day. However, this data is not well utilized due to the lack of efficient data visualization tools. This software implements a method for visualizing various characteristics of the global satellite image download requests. More specifically, Keyhole Markup Language (KML) files are generated which can be loaded into an earth browser such as Google Earth. Colored rectangles associated with stored satellite scenes are painted onto the earth browser; and the color and opacity of each rectangle is varied as a function of the popularity of the corresponding satellite image. An analysis of the geospatial information obtained relative to specified time constraints provides an ability to relate image download requests to environmental, political, and social events.

  16. The National 3-D Geospatial Information Web-Based Service of Korea

    NASA Astrophysics Data System (ADS)

    Lee, D. T.; Kim, C. W.; Kang, I. G.

    2013-09-01

    3D geospatial information systems should provide efficient spatial analysis tools and able to use all capabilities of the third dimension, and a visualization. Currently, many human activities make steps toward the third dimension like land use, urban and landscape planning, cadastre, environmental monitoring, transportation monitoring, real estate market, military applications, etc. To reflect this trend, the Korean government has been started to construct the 3D geospatial data and service platform. Since the geospatial information was introduced in Korea, the construction of geospatial information (3D geospatial information, digital maps, aerial photographs, ortho photographs, etc.) has been led by the central government. The purpose of this study is to introduce the Korean government-lead 3D geospatial information web-based service for the people who interested in this industry and we would like to introduce not only the present conditions of constructed 3D geospatial data but methodologies and applications of 3D geospatial information. About 15% (about 3,278.74 km2) of the total urban area's 3D geospatial data have been constructed by the national geographic information institute (NGII) of Korea from 2005 to 2012. Especially in six metropolitan cities and Dokdo (island belongs to Korea) on level of detail (LOD) 4 which is photo-realistic textured 3D models including corresponding ortho photographs were constructed in 2012. In this paper, we represented web-based 3D map service system composition and infrastructure and comparison of V-world with Google Earth service will be presented. We also represented Open API based service cases and discussed about the protection of location privacy when we construct 3D indoor building models. In order to prevent an invasion of privacy, we processed image blurring, elimination and camouflage. The importance of public-private cooperation and advanced geospatial information policy is emphasized in Korea. Thus, the progress of

  17. Distributed Multi-interface Catalogue for Geospatial Data

    NASA Astrophysics Data System (ADS)

    Nativi, S.; Bigagli, L.; Mazzetti, P.; Mattia, U.; Boldrini, E.

    2007-12-01

    Several geosciences communities (e.g. atmospheric science, oceanography, hydrology) have developed tailored data and metadata models and service protocol specifications for enabling online data discovery, inventory, evaluation, access and download. These specifications are conceived either profiling geospatial information standards or extending the well-accepted geosciences data models and protocols in order to capture more semantics. These artifacts have generated a set of related catalog -and inventory services- characterizing different communities, initiatives and projects. In fact, these geospatial data catalogs are discovery and access systems that use metadata as the target for query on geospatial information. The indexed and searchable metadata provide a disciplined vocabulary against which intelligent geospatial search can be performed within or among communities. There exists a clear need to conceive and achieve solutions to implement interoperability among geosciences communities, in the context of the more general geospatial information interoperability framework. Such solutions should provide search and access capabilities across catalogs, inventory lists and their registered resources. Thus, the development of catalog clearinghouse solutions is a near-term challenge in support of fully functional and useful infrastructures for spatial data (e.g. INSPIRE, GMES, NSDI, GEOSS). This implies the implementation of components for query distribution and virtual resource aggregation. These solutions must implement distributed discovery functionalities in an heterogeneous environment, requiring metadata profiles harmonization as well as protocol adaptation and mediation. We present a catalog clearinghouse solution for the interoperability of several well-known cataloguing systems (e.g. OGC CSW, THREDDS catalog and data services). The solution implements consistent resource discovery and evaluation over a dynamic federation of several well-known cataloguing and

  18. Geospatial Analysis of Food Environment Demonstrates Associations with Gestational Diabetes

    PubMed Central

    KAHR, Maike K.; SUTER, Melissa A.; BALLAS, Jerasimos; RAMIN, Susan M.; MONGA, Manju; LEE, Wesley; HU, Min; SHOPE, Cindy D.; CHESNOKOVA, Arina; KRANNICH, Laura; GRIFFIN, Emily N.; MASTROBATTISTA, Joan; DILDY, Gary A.; STREHLOW, Stacy L.; RAMPHUL, Ryan; HAMILTON, Winifred J; AAGAARD, Kjersti M.

    2015-01-01

    Background Gestational diabetes mellitus (GDM) is one of most common complications of pregnancy, with incidence rates varying by maternal age, race/ethnicity, obesity, parity, and family history. Given its increasing prevalence in recent decades, co-variant environmental and sociodemographic factors may be additional determinants of GDM occurrence. Objectives We hypothesized that environmental risk factors, in particular measures of the food environment, may be a diabetes contributor. We employed geospatial modeling in a populous U.S. county to characterize the association of the relative availability of fast food restaurants and supermarkets to GDM. Study Design Utilizing a perinatal database with over 4900 encoded antenatal and outcome variables inclusive of zip code data, 8912 consecutive pregnancies were analyzed for correlations between GDM and food environment based on county-wide food permit registration data. Linkage between pregnancies and food environment was achieved on the basis of validated 5 digit zip code data. The prevalence of supermarkets and fast food restaurants per 100,000 inhabitants for each zip code were gathered from publicly available food permit sources. In order to independently authenticate our findings with objective data, we measured hemoglobin A1c (HbA1c) levels as a function of geospatial distribution of food environment in a matched subset (n=80). Results Residence in neighborhoods with a high prevalence of fast food restaurants (fourth quartile) was significantly associated with an increased risk of developing GDM (relative to first quartile, aOR: 1.63 [95% CI 1.21–2.19]). In multivariate analysis, this association held true after controlling for potential confounders (p=0.002). Measurement of HbA1c levels in a matched subset were significantly increased in association with residence in a zip code with a higher fast food/supermarket ratio (n=80, r=0.251 p<0.05). Conclusions As demonstrated by geospatial analysis, a relationship

  19. Generation of Multiple Metadata Formats from a Geospatial Data Repository

    NASA Astrophysics Data System (ADS)

    Hudspeth, W. B.; Benedict, K. K.; Scott, S.

    2012-12-01

    The Earth Data Analysis Center (EDAC) at the University of New Mexico is partnering with the CYBERShARE and Environmental Health Group from the Center for Environmental Resource Management (CERM), located at the University of Texas, El Paso (UTEP), the Biodiversity Institute at the University of Kansas (KU), and the New Mexico Geo- Epidemiology Research Network (GERN) to provide a technical infrastructure that enables investigation of a variety of climate-driven human/environmental systems. Two significant goals of this NASA-funded project are: a) to increase the use of NASA Earth observational data at EDAC by various modeling communities through enabling better discovery, access, and use of relevant information, and b) to expose these communities to the benefits of provenance for improving understanding and usability of heterogeneous data sources and derived model products. To realize these goals, EDAC has leveraged the core capabilities of its Geographic Storage, Transformation, and Retrieval Engine (Gstore) platform, developed with support of the NSF EPSCoR Program. The Gstore geospatial services platform provides general purpose web services based upon the REST service model, and is capable of data discovery, access, and publication functions, metadata delivery functions, data transformation, and auto-generated OGC services for those data products that can support those services. Central to the NASA ACCESS project is the delivery of geospatial metadata in a variety of formats, including ISO 19115-2/19139, FGDC CSDGM, and the Proof Markup Language (PML). This presentation details the extraction and persistence of relevant metadata in the Gstore data store, and their transformation into multiple metadata formats that are increasingly utilized by the geospatial community to document not only core library catalog elements (e.g. title, abstract, publication data, geographic extent, projection information, and database elements), but also the processing steps used to

  20. Bridging the Gap Between Surveyors and the Geo-Spatial Society

    NASA Astrophysics Data System (ADS)

    Müller, H.

    2016-06-01

    For many years FIG, the International Association of Surveyors, has been trying to bridge the gap between surveyors and the geospatial society as a whole, with the geospatial industries in particular. Traditionally the surveying profession contributed to the good of society by creating and maintaining highly precise and accurate geospatial data bases, based on an in-depth knowledge of spatial reference frameworks. Furthermore in many countries surveyors may be entitled to make decisions about land divisions and boundaries. By managing information spatially surveyors today develop into the role of geo-data managers, the longer the more. Job assignments in this context include data entry management, data and process quality management, design of formal and informal systems, information management, consultancy, land management, all that in close cooperation with many different stakeholders. Future tasks will include the integration of geospatial information into e-government and e-commerce systems. The list of professional tasks underpins the capabilities of surveyors to contribute to a high quality geospatial data and information management. In that way modern surveyors support the needs of a geo-spatial society. The paper discusses several approaches to define the role of the surveyor within the modern geospatial society.

  1. SWOT analysis on National Common Geospatial Information Service Platform of China

    NASA Astrophysics Data System (ADS)

    Zheng, Xinyan; He, Biao

    2009-09-01

    Currently, the trend of International Surveying and Mapping is shifting from map production to integrated service of geospatial information, such as GOS of U.S. etc. Under this circumstance, the Surveying and Mapping of China is inevitably shifting from 4D product service to NCGISPC (National Common Geospatial Information Service Platform of China)-centered service. Although State Bureau of Surveying and Mapping of China has already provided a great quantity of geospatial information service to various lines of business, such as emergency and disaster management, transportation, water resource, agriculture etc. The shortcomings of the traditional service mode are more and more obvious, due to the highly emerging requirement of e-government construction, the remarkable development of IT technology and emerging online geospatial service demands of various lines of business. NCGISPC, which aimed to provide multiple authoritative online one-stop geospatial information service and API for further development to government, business and public, is now the strategic core of SBSM (State Bureau of Surveying and Mapping of China). This paper focuses on the paradigm shift that NCGISPC brings up by using SWOT (Strength, Weakness, Opportunity and Threat) analysis, compared to the service mode that based on 4D product. Though NCGISPC is still at its early stage, it represents the future service mode of geospatial information of China, and surely will have great impact not only on the construction of digital China, but also on the way that everyone uses geospatial information service.

  2. SWOT analysis on National Common Geospatial Information Service Platform of China

    NASA Astrophysics Data System (ADS)

    Zheng, Xinyan; He, Biao

    2010-11-01

    Currently, the trend of International Surveying and Mapping is shifting from map production to integrated service of geospatial information, such as GOS of U.S. etc. Under this circumstance, the Surveying and Mapping of China is inevitably shifting from 4D product service to NCGISPC (National Common Geospatial Information Service Platform of China)-centered service. Although State Bureau of Surveying and Mapping of China has already provided a great quantity of geospatial information service to various lines of business, such as emergency and disaster management, transportation, water resource, agriculture etc. The shortcomings of the traditional service mode are more and more obvious, due to the highly emerging requirement of e-government construction, the remarkable development of IT technology and emerging online geospatial service demands of various lines of business. NCGISPC, which aimed to provide multiple authoritative online one-stop geospatial information service and API for further development to government, business and public, is now the strategic core of SBSM (State Bureau of Surveying and Mapping of China). This paper focuses on the paradigm shift that NCGISPC brings up by using SWOT (Strength, Weakness, Opportunity and Threat) analysis, compared to the service mode that based on 4D product. Though NCGISPC is still at its early stage, it represents the future service mode of geospatial information of China, and surely will have great impact not only on the construction of digital China, but also on the way that everyone uses geospatial information service.

  3. Developing a Cloud-Based Online Geospatial Information Sharing and Geoprocessing Platform to Facilitate Collaborative Education and Research

    NASA Astrophysics Data System (ADS)

    Yang, Z. L.; Cao, J.; Hu, K.; Gui, Z. P.; Wu, H. Y.; You, L.

    2016-06-01

    Efficient online discovering and applying geospatial information resources (GIRs) is critical in Earth Science domain as while for cross-disciplinary applications. However, to achieve it is challenging due to the heterogeneity, complexity and privacy of online GIRs. In this article, GeoSquare, a collaborative online geospatial information sharing and geoprocessing platform, was developed to tackle this problem. Specifically, (1) GIRs registration and multi-view query functions allow users to publish and discover GIRs more effectively. (2) Online geoprocessing and real-time execution status checking help users process data and conduct analysis without pre-installation of cumbersome professional tools on their own machines. (3) A service chain orchestration function enables domain experts to contribute and share their domain knowledge with community members through workflow modeling. (4) User inventory management allows registered users to collect and manage their own GIRs, monitor their execution status, and track their own geoprocessing histories. Besides, to enhance the flexibility and capacity of GeoSquare, distributed storage and cloud computing technologies are employed. To support interactive teaching and training, GeoSquare adopts the rich internet application (RIA) technology to create user-friendly graphical user interface (GUI). Results show that GeoSquare can integrate and foster collaboration between dispersed GIRs, computing resources and people. Subsequently, educators and researchers can share and exchange resources in an efficient and harmonious way.

  4. Geospatial Analysis of Oil and Gas Wells in California

    NASA Astrophysics Data System (ADS)

    Riqueros, N. S.; Kang, M.; Jackson, R. B.

    2015-12-01

    California currently ranks third in oil production by U.S. state and more than 200,000 wells have been drilled in the state. Oil and gas wells provide a potential pathway for subsurface migration, leading to groundwater contamination and emissions of methane and other fluids to the atmosphere. Here we compile available public databases on oil and gas wells from the California Department of Conservation's Division of Oil, Gas, and Geothermal Resources, the U.S. Geological Survey, and other state and federal sources. We perform geospatial analysis at the county and field levels to characterize depths, producing formations, spud/completion/abandonment dates, land cover, population, and land ownership of active, idle, buried, abandoned, and plugged wells in California. The compiled database is designed to serve as a quantitative platform for developing field-based groundwater and air emission monitoring plans.

  5. Schistosomiasis: Geospatial Surveillance and Response Systems in Southeast Asia

    NASA Astrophysics Data System (ADS)

    Malone, John; Bergquist, Robert; Rinaldi, Laura; Xiao-nong, Zhou

    2016-10-01

    Geographic information system (GIS) and remote sensing (RS) from Earth-observing satellites offer opportunities for rapid assessment of areas endemic for vector-borne diseases including estimates of populations at risk and guidance to intervention strategies. This presentation deals with GIS and RS applications for the control of schistosomiasis in China and the Philippines. It includes large-scale risk mapping including identification of suitable habitats for Oncomelania hupensis, the intermediate host snail of Schistosoma japonicum. Predictions of infection risk are discussed with reference to ecological transformations and the potential impact of climate change and the potential for long-term temperature increases in the North as well as the impact on rivers, lakes and water resource developments. Potential integration of geospatial mapping and modeling in schistosomiasis surveillance and response systems in Asia within Global Earth Observation System of Systems (GEOSS) guidelines in the health societal benefit area is discussed.

  6. Advancing Collaborative Climate Studies through Globally Distributed Geospatial Analysis

    NASA Astrophysics Data System (ADS)

    Singh, R.; Percivall, G.

    2009-12-01

    (note: acronym glossary at end of abstract) For scientists to have confidence in the veracity of data sets and computational processes not under their control, operational transparency must be much greater than previously required. Being able to have a universally understood and machine-readable language for describing such things as the completeness of metadata, data provenance and uncertainty, and the discrete computational steps in a complex process take on increased importance. OGC has been involved with technological issues associated with climate change since 2005 when we, along with the IEEE Committee on Earth Observation, began a close working relationship with GEO and GEOSS (http://earthobservations.org). GEO/GEOS provide the technology platform to GCOS who in turn represents the earth observation community to UNFCCC. OGC and IEEE are the organizers of the GEO/GEOSS Architecture Implementation Pilot (see http://www.ogcnetwork.net/AIpilot). This continuing work involves closely working with GOOS (Global Ocean Observing System) and WMO (World Meteorological Organization). This session reports on the findings of recent work within the OGC’s community of software developers and users to apply geospatial web services to the climate studies domain. The value of this work is to evolve OGC web services, moving from data access and query to geo-processing and workflows. Two projects will be described, the GEOSS API-2 and the CCIP. AIP is a task of the GEOSS Architecture and Data Committee. During its duration, two GEO Tasks defined the project: AIP-2 began as GEO Task AR-07-02, to lead the incorporation of contributed components consistent with the GEOSS Architecture using a GEO Web Portal and a Clearinghouse search facility to access services through GEOSS Interoperability Arrangements in support of the GEOSS Societal Benefit Areas. AIP-2 concluded as GEOS Task AR-09-01b, to develop and pilot new process and infrastructure components for the GEOSS Common

  7. Establishment of the Northeast Coastal Watershed Geospatial Data Network (NECWGDN)

    SciTech Connect

    Hannigan, Robyn

    2014-02-17

    The goals of NECWGDN were to establish integrated geospatial databases that interfaced with existing open-source (water.html) environmental data server technologies (e.g., HydroDesktop) and included ecological and human data to enable evaluation, prediction, and adaptation in coastal environments to climate- and human-induced threats to the coastal marine resources within the Gulf of Maine. We have completed the development and testing of a "test bed" architecture that is compatible with HydroDesktop and have identified key metadata structures that will enable seamless integration and delivery of environmental, ecological, and human data as well as models to predict threats to end-users. Uniquely this database integrates point as well as model data and so offers capacities to end-users that are unique among databases. Future efforts will focus on the development of integrated environmental-human dimension models that can serve, in near real time, visualizations of threats to coastal resources and habitats.

  8. Geospatial and Contextual Approaches to Energy Balance and Health.

    PubMed

    Berrigan, David; Hipp, J Aaron; Hurvitz, Philip M; James, Peter; Jankowska, Marta M; Kerr, Jacqueline; Laden, Francine; Leonard, Tammy; McKinnon, Robin A; Powell-Wiley, Tiffany M; Tarlov, Elizabeth; Zenk, Shannon N

    In the past 15 years, a major research enterprise has emerged that is aimed at understanding associations between geographic and contextual features of the environment (especially the built environment) and elements of human energy balance, including diet, weight, and physical activity. Here we highlight aspects of this research area with a particular focus on research and opportunities in the United States as an example. We address four main areas: 1) The importance of valid and comparable data concerning behavior across geographies, 2) The ongoing need to identify and explore new environmental variables, 3) The challenge of identifying the causally relevant context, and 4) The pressing need for stronger study designs and analytical methods. Additionally, we discuss existing sources of geo-referenced health data which might be exploited by interdisciplinary research teams, personnel challenges and some aspects of funding for geospatial research by the US National Institutes of Health in the past decade, including funding for international collaboration and training opportunities.

  9. Authoring Tours of Geospatial Data With KML and Google Earth

    NASA Astrophysics Data System (ADS)

    Barcay, D. P.; Weiss-Malik, M.

    2008-12-01

    As virtual globes become widely adopted by the general public, the use of geospatial data has expanded greatly. With the popularization of Google Earth and other platforms, GIS systems have become virtual reality platforms. Using these platforms, a casual user can easily explore the world, browse massive data-sets, create powerful 3D visualizations, and share those visualizations with millions of people using the KML language. This technology has raised the bar for professionals and academics alike. It is now expected that studies and projects will be accompanied by compelling, high-quality visualizations. In this new landscape, a presentation of geospatial data can be the most effective form of advertisement for a project: engaging both the general public and the scientific community in a unified interactive experience. On the other hand, merely dumping a dataset into a virtual globe can be a disorienting, alienating experience for many users. To create an effective, far-reaching presentation, an author must take care to make their data approachable to a wide variety of users with varying knowledge of the subject matter, expertise in virtual globes, and attention spans. To that end, we present techniques for creating self-guided interactive tours of data represented in KML and visualized in Google Earth. Using these methods, we provide the ability to move the camera through the world while dynamically varying the content, style, and visibility of the displayed data. Such tours can automatically guide users through massive, complex datasets: engaging a broad user-base, and conveying subtle concepts that aren't immediately apparent when viewing the raw data. To the casual user these techniques result in an extremely compelling experience similar to watching video. Unlike video though, these techniques maintain the rich interactive environment provided by the virtual globe, allowing users to explore the data in detail and to add other data sources to the presentation.

  10. Integrated Sustainable Planning for Industrial Region Using Geospatial Technology

    NASA Astrophysics Data System (ADS)

    Tiwari, Manish K.; Saxena, Aruna; Katare, Vivek

    2012-07-01

    The Geospatial techniques and its scope of applications have undergone an order of magnitude change since its advent and now it has been universally accepted as a most important and modern tool for mapping and monitoring of various natural resources as well as amenities and infrastructure. The huge and voluminous spatial database generated from various Remote Sensing platforms needs proper management like storage, retrieval, manipulation and analysis to extract desired information, which is beyond the capability of human brain. This is where the computer aided GIS technology came into existence. A GIS with major input from Remote Sensing satellites for the natural resource management applications must be able to handle the spatiotemporal data, supporting spatiotemporal quarries and other spatial operations. Software and the computer-based tools are designed to make things easier to the user and to improve the efficiency and quality of information processing tasks. The natural resources are a common heritage, which we have shared with the past generations, and our future generation will be inheriting these resources from us. Our greed for resource and our tremendous technological capacity to exploit them at a much larger scale has created a situation where we have started withdrawing from the future stocks. Bhopal capital region had attracted the attention of the planners from the beginning of the five-year plan strategy for Industrial development. However, a number of projects were carried out in the individual Districts (Bhopal, Rajgarh, Shajapur, Raisen, Sehore) which also gave fruitful results, but no serious efforts have been made to involve the entire region. No use of latest Geospatial technique (Remote Sensing, GIS, GPS) to prepare a well structured computerized data base without which it is very different to retrieve, analyze and compare the data for monitoring as well as for planning the developmental activities in future.

  11. River channel's predisposition to ice jams: a geospatial model

    NASA Astrophysics Data System (ADS)

    De Munck, S.; Gauthier, Y.; Bernier, M.; Légaré, S.

    2012-04-01

    When dynamic breakup occurs on rivers, ice moving downstream may eventually stop at an obstacle when the volume of moving ice exceeds the transport capacity of the river, resulting into an ice jam. The suddenness and unpredictability of these ice jams are a constant danger to local population. Therefore forecasting methods are necessary to provide an early warning to these population. Nonetheless the morphological and hydrological factors controlling where and how the ice will jam are numerous and complex. Existing studies which exist on this topic are highly site specific. Therefore, the goal of this work is to develop a simplified geospatial model that would estimate the predisposition of any river channel to ice jams. The question here is not to predict when the ice will break up but rather to know where the released ice would be susceptible to jam. This paper presents the developments and preliminary results of the proposed approach. The initial step was to document the main factors identified in the literature, as potential cause for an ice jam. First, several main factors identified in the literature as potential cause for an ice jam have been selected: presence of an island, narrowing of the channel, sinuosity, presence of a bridge, confluence of rivers and slope break. The second step was to spatially represent, in 2D, the physical characteristics of the channel and to translate these characteristics into potential ice jamming factors. The Chaudiere River, south of Quebec City (Canada), was chosen as a test site. Tools from the GIS-based FRAZIL system have been used to generate these factors from readily available geospatial data and calcutate an "ice jam predisposition index" over regular-spaced segments along the entire channel. The resulting map was validated upon historical observations and local knowledge, collected in relationship with the Minister of Public Security.

  12. Geospatial Toolkits and Resource Maps for Selected Countries from the National Renewable Energy Laboratory (NREL)

    DOE Data Explorer

    NREL developed the Geospatial Toolkit (GsT), a map-based software application that integrates resource data and geographic information systems (GIS) for integrated resource assessment. A variety of agencies within countries, along with global datasets, provided country-specific data. Originally developed in 2005, the Geospatial Toolkit was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. Toolkits are available for 21 countries and each one can be downloaded separately. The source code for the toolkit is also available. [Taken and edited from http://www.nrel.gov/international/geospatial_toolkits.html

  13. Identification of Potential Fishing Grounds Using Geospatial Technique

    NASA Astrophysics Data System (ADS)

    Abdullah, Muhammad

    2016-07-01

    Fishery resources surveys using actual sampling and data collection methods require extensive ship time and sampling time. Informative data from satellite plays a vital role in fisheries application. Satellite Remote Sensing techniques can be used to detect fish aggregation just like visual fish identification ultimately these techniques can be used to predict the potential fishing zones by measuring the parameters which affect the distribution of fishes. Remote sensing is a time saving technique to locate fishery resources along the coast. Pakistan has a continental shelf area of 50,270 km2 and coastline length of 1,120 km. The total maritime zone of Pakistan is over 30 percent of the land area. Fishery plays an important role in the national economy. The marine fisheries sector is the main component, contributing about 57 percent in terms of production. Fishery is the most important economic activity in the villages and towns along the coast, and in most of the coastal villages and settlements it is the sole source of employment and income generation. Fishing by fishermen is done on the sole basis of repeated experiments and collection of information from other fishermen. Often they are in doubt about the location of potential fishing zones. This leads to waste of time and money, adversely affecting fishermen incomes and over or under-exploitation of fishing zones. The main purpose of this study was to map potential fishing grounds by identifying various environmental parameters which impact fish aggregation along the Pakistan coastline. The primary reason of this study is the fact that the fishing communities of Pakistan's coastal regions are extremely poor and lack knowledge of the modern tools and techniques that may be incorporated to enhance their yield and thus, improve their livelihood. Using geospatial techniques in order to accurately map the potential fishing zones based on sea surface temperature (SST) and chlorophyll -a content, in conjunction with

  14. A geospatial modelling approach to predict seagrass habitat recovery under multiple stressor regimes

    EPA Science Inventory

    Restoration of estuarine seagrass habitats requires a clear understanding of the modes of action of multiple interacting stressors including nutrients, climate change, coastal land-use change, and habitat modification. We have developed and demonstrated a geospatial modeling a...

  15. a Cloud-Based Platform Supporting Geospatial Collaboration for GIS Education

    NASA Astrophysics Data System (ADS)

    Cheng, X.; Gui, Z.; Hu, K.; Gao, S.; Shen, P.; Wu, H.

    2015-05-01

    GIS-related education needs support of geo-data and geospatial software. Although there are large amount of geographic information resources distributed on the web, the discovery, process and integration of these resources are still unsolved. Researchers and teachers always searched geo-data by common search engines but results were not satisfied. They also spent much money and energy on purchase and maintenance of various kinds of geospatial software. Aimed at these problems, a cloud-based geospatial collaboration platform called GeoSquare was designed and implemented. The platform serves as a geoportal encouraging geospatial data, information, and knowledge sharing through highly interactive and expressive graphic interfaces. Researchers and teachers can solve their problems effectively in this one-stop solution. Functions, specific design and implementation details are presented in this paper. Site of GeoSquare is: http://geosquare.tianditu.com/

  16. Mapping the Risks. Assessing the Homeland Security Implications of Publicly Available Geospatial Information

    DTIC Science & Technology

    2004-01-01

    beneficial purposes , the risk also exists that some types of geospatial information could be exploited by terrorists. Federal agencies thus face a...as it becomes available. Study Purpose and Approach This study frames the analytical issues associated with assessing whether and how geospatial data...Information Act for homeland security or national security purposes • new and potentially sensitive information that might be created via the

  17. Application of Geo-Spatial Techniques for Precise Demarcation of Village/Panchayat Boundaries

    NASA Astrophysics Data System (ADS)

    Rao, S. S.; Banu, V.; Tiwari, A.; Bahuguna, S.; Uniyal, S.; Chavan, S. B.; Murthy, M. V. R.; Arya, V. S.; Nagaraja, R.; Sharma, J. R.

    2014-11-01

    In order to achieve the overall progress of the country with active and effective participation of all sections of society, the 12th Five Year Plan (FYP) would bring Panchayats centre-stage and achieve the inclusive growth agenda through inclusive governance. The concept of 'democratic decentralization' in the form of a three-tier administration was introduced in the name of "Panchayat Raj". Horizontally, it is a network of village Panchayats. Vertically, it is an organic growth of Panchayats rising up to national level. The Ministry of Panchayati Raj has three broad agenda: Empowerment, Enablement and Accountability. Space based Information Support for Decentralized Planning (SIS-DP) is one of the initiatives taken by Govt. of India with ISRO/DOS for generation and dissemination of spatial information for planning at the grass root level. The boundary layer for villages across different states/district/block is available with line departments. Most of these data exist at a much generalized scale. These boundaries do not overlay exactly with that of ground realities and may not be suitable for accurate analysis in terms of area, shape, position, etc. To deal with this problem, a strategy is adopted, which makes use of High Resolution Satellite Imagery (HRSI) from Indian Remote sensing satellites and cadastral maps at 1:4000 scale integrated with GIS techniques to enhance the accuracy of geo-spatial depiction of Village/Panchayat boundaries. Cadastral maps are used to depict the boundaries of land parcels and other features at the village level. These maps are registered to ortho products of HRSI using Ground Control Points. The cadastral maps are precisely overlaid on ortho-rectified HRSI and each parcel vertex is tagged with the real-world geographical coordinates. Village boundaries are extracted from the geo-referenced village cadastral maps. These boundaries are fine-tuned by considering under lap and overlap of neighboring villages and a mosaic is generated at

  18. Advanced geospatial technologies applied to gravel-bed river mapping and modeling

    NASA Astrophysics Data System (ADS)

    Aggett, Graeme Richard

    Mapping and modeling of river channels is essential in defining the Channel Migration Zone (CMZ). CMZ delineation is necessary to mitigate hazards, create opportunities to protect riparian habitat, predict channel response to changing land cover and disturbances, and design more environmentally-aligned engineering structures. This provides a compelling challenge to the GIScientist because of the need to understand fluvial process dynamics in space and time, and the narrow, elongated, and sinuous geometry of fluvial systems which complicates data collection, management and modeling of digital data describing these. This requires creation, management and correlation of a vast array of data of varying density and quality. Research presented here develops and applies advanced geospatial data, technologies, and modeling to CMZ mapping of a dynamic gravel-bed river in the state of Washington, USA. Chapter 2 demonstrates how new, object-based image processing techniques enhance river mapping accuracies and data modeling opportunities by incorporating the spatial characteristics and relationships of hydrogeomorphic objects into the classification process, by fusing high resolution DEMs with image data, and by accounting for uncertainty. In chapter 3, development and assimilation of a high resolution topographic LiDAR-based DEM with a one-dimensional hydraulic model enables the avulsion hazard of a reach of the Naches River in the state of Washington to be determined for multiple flow and channel-change scenarios. The DEM is used to optimize performance of the 1D hydraulic model HEC-RAS, post-processed output of which facilitates calculation of spatially explicit shear stress (tau0) and specific stream power per unit bed area (o). In Chapter 4 a new data intensive GIS-based framework for delineating CMZs is implemented and assessed. The approach incorporates historical maps, field-survey data, and LiDAR derived data products as well as a system design that provides a

  19. Comparison results of forest cover mapping of Peninsular Malaysia using geospatial technology

    NASA Astrophysics Data System (ADS)

    Hamid, Wan Abdul; Abd Rahman, Shukri B. Wan

    2016-06-01

    Climate change and global warming transpire due to several factors. Among them is deforestation which occur mostly in developing countries including Malaysia where forested areas are converted to other land use for tangible economic returns and to a smaller extent, as subsistence for local communities. As a cause for concern, efforts have been taken by the World Resource Institute (WRI) and World Wildlife Fund (WWF) to monitor forest loss using geospatial technology - interpreting time-based remote sensing imageries and producing statistics of forested areas lost since 2001. In Peninsular Malaysia, the Forestry Department of Peninsular Malaysia(FDPM) has conducted forest cover mapping for the region using the same technology since 2011, producing GIS maps for 2009-2010,2011-2012,2013-2014 and 2015. This paper focuses on the comparative study of the results generated from WRI,WWF and FDPM interpretations between 2010 and 2015, the methodologies used, the similarities and differences, challenges and recommendations for future enhancement of forest cover mapping technique.

  20. SimWIND: A Geospatial Infrastructure Model for Wind Energy Production and Transmission

    NASA Astrophysics Data System (ADS)

    Middleton, R. S.; Phillips, B. R.; Bielicki, J. M.

    2009-12-01

    Wind is a clean, enduring energy resource with a capacity to satisfy 20% or more of the electricity needs in the United States. A chief obstacle to realizing this potential is the general paucity of electrical transmission lines between promising wind resources and primary load centers. Successful exploitation of this resource will therefore require carefully planned enhancements to the electric grid. To this end, we present the model SimWIND for self-consistent optimization of the geospatial arrangement and cost of wind energy production and transmission infrastructure. Given a set of wind farm sites that satisfy meteorological viability and stakeholder interest, our model simultaneously determines where and how much electricity to produce, where to build new transmission infrastructure and with what capacity, and where to use existing infrastructure in order to minimize the cost for delivering a given amount of electricity to key markets. Costs and routing of transmission line construction take into account geographic and social factors, as well as connection and delivery expenses (transformers, substations, etc.). We apply our model to Texas and consider how findings complement the 2008 Electric Reliability Council of Texas (ERCOT) Competitive Renewable Energy Zones (CREZ) Transmission Optimization Study. Results suggest that integrated optimization of wind energy infrastructure and cost using SimWIND could play a critical role in wind energy planning efforts.

  1. Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool.

    PubMed

    Bachman, Steven; Moat, Justin; Hill, Andrew W; de Torre, Javier; Scott, Ben

    2011-01-01

    GeoCAT is an open source, browser based tool that performs rapid geospatial analysis to ease the process of Red Listing taxa. Developed to utilise spatially referenced primary occurrence data, the analysis focuses on two aspects of the geographic range of a taxon: the extent of occurrence (EOO) and the area of occupancy (AOO). These metrics form part of the IUCN Red List categories and criteria and have often proved challenging to obtain in an accurate, consistent and repeatable way. Within a familiar Google Maps environment, GeoCAT users can quickly and easily combine data from multiple sources such as GBIF, Flickr and Scratchpads as well as user generated occurrence data. Analysis is done with the click of a button and is visualised instantly, providing an indication of the Red List threat rating, subject to meeting the full requirements of the criteria. Outputs including the results, data and parameters used for analysis are stored in a GeoCAT file that can be easily reloaded or shared with collaborators. GeoCAT is a first step toward automating the data handling process of Red List assessing and provides a valuable hub from which further developments and enhancements can be spawned.

  2. Generalized multiple kernel framework for multiclass geospatial objects detection in high-resolution remote sensing images

    NASA Astrophysics Data System (ADS)

    Li, Xiangjuan; Sun, Xian; Sun, Hao; Li, Yu; Wang, Hongqi

    2012-01-01

    Multiclass geospatial objects detection within complex environments is a challenging problem in remote-sensing areas. In this paper we propose a novel, generalized kernel-based learning framework for the purpose of enhanced object detection. There are two novel areas. (1) Multisource information, including shape, feature points, and appearance, was extracted to give a comprehensive representation of the objects. We improved a shape descriptor and introduced a two-level spatial pyramid to represent appearance, both global and local. Therefore, basis kernels were formed, one for each feature. (2) In order to illustrate the effect of each kind of feature on each pyramid level, a generalized and weighted combination method was first used to combine all of the levels and then the features. The weights and the classifier model are based on the support vector machine framework for obtaining balance between all basis kernels. This classifier was transformed into a powerful detector by using a sliding window. The reported results are for the detection on high-resolution remote-sensing images. This study demonstrates that the proposed generalized and weighted combination of kernels can yield better performance compared with traditional single-kernel classifier and other combination methods.

  3. Harvesting, Integrating and Distributing Large Open Geospatial Datasets Using Free and Open-Source Software

    NASA Astrophysics Data System (ADS)

    Oliveira, Ricardo; Moreno, Rafael

    2016-06-01

    Federal, State and Local government agencies in the USA are investing heavily on the dissemination of Open Data sets produced by each of them. The main driver behind this thrust is to increase agencies' transparency and accountability, as well as to improve citizens' awareness. However, not all Open Data sets are easy to access and integrate with other Open Data sets available even from the same agency. The City and County of Denver Open Data Portal distributes several types of geospatial datasets, one of them is the city parcels information containing 224,256 records. Although this data layer contains many pieces of information it is incomplete for some custom purposes. Open-Source Software were used to first collect data from diverse City of Denver Open Data sets, then upload them to a repository in the Cloud where they were processed using a PostgreSQL installation on the Cloud and Python scripts. Our method was able to extract non-spatial information from a `not-ready-to-download' source that could then be combined with the initial data set to enhance its potential use.

  4. Use of Open Geospatial Consortium (OGC) Standards to Disseminate and Access Scientific Data

    NASA Astrophysics Data System (ADS)

    Piper, M.; Justice, B.; Borsholm, A.; Harris, A. T.

    2011-12-01

    With the proliferation of scientific data in the public domain, improved methods for facilitating the discovery and dissemination of the data are sorely needed. NASA recently confronted this challenging problem within the context of the NextGen 4-D Weather Cube, a virtual database of weather observations and forecasts that, among other applications, will principally serve the reinvented US air traffic management system. Acknowledging the current trends toward the use of Open Geospatial Consortium (OGC) standards, ITT VIS worked closely with NASA sponsors to implement the ebXML RegRep standard, which defines support for the registration, management and retrieval of georeferenced data and related metadata. Use of this standard within a web-enabled software infrastructure allows consumers to discover datasets and access them via methods called "services". The OGC WFS, WMS, and WCS services provide different delivery mechanisms for datasets stored in public repositories and give users on-demand access within their local computing environment. Examples of how NASA, working on the NextGen project, researched and developed ways of using these technologies to further enhance their research will be emphasized. Lessons learned here may provide guidance for other scientific projects with similar requirements for disseminating public datasets.

  5. Assessing Student Learning About Climate Change With Earth System Place-Based Geospatial Data

    NASA Astrophysics Data System (ADS)

    Zalles, D. R.; Krumhansl, R. A.; Acker, J. G.; Manitakos, J.; Elston, A.

    2012-12-01

    Powerful web-based data sets about geospatially situated Earth system phenomena are now available for analysis by the general public, including for any teacher or set of students who have the requisite skills to partake in the analyses. Unfortunately there exist impediments to successful use of these data. Teachers and students may lack (1) readiness to use the software interfaces for querying and representing the data, (2) needed scientific practice skills such as interpreting geographic information system-based maps and time series plots, and (3) needed understandings of the fundamental scientific concepts to make sense of the data. Hence, to evaluate any program designed to engage students and teachers with these data resources, there need to be assessment strategies to check for understanding. Assessment becomes the key to identifying learning needs and intervening appropriately with additional task scaffolding or other forms of instructional support. The paper will describe contrasting assessment strategies being carried out in two climate change education projects funded by NASA and NSF. The NASA project, Data Enhanced Investigations for Climate Change Education (DICCE), brings data from NASA satellite missions to the classroom. A bank of DICCE assessment items is being developed to measure students' abilities to transfer their skills in analyzing data about their local region to other regions of the world. Teachers choose pre-post assessment items for variables of Earth system phenomena that they target in their instruction. The data vary depending on what courses the teachers are teaching. For example, Earth science teachers are likely to choose data about atmospheric phenomena and biology teachers are more likely to choose land cover data. The NSF project, Studying Topography, Orographic Rainfall, and Ecosystems with Geospatial Information Technology (STORE), provides to teachers recent climatological and vegetation data about "study areas" in Central

  6. Geospatial-enabled Data Exploration and Computation through Data Infrastructure Building Blocks

    NASA Astrophysics Data System (ADS)

    Song, C. X.; Biehl, L. L.; Merwade, V.; Villoria, N.

    2015-12-01

    Geospatial data are present everywhere today with the proliferation of location-aware computing devices and sensors. This is especially true in the scientific community where large amounts of data are driving research and education activities in many domains. Collaboration over geospatial data, for example, in modeling, data analysis and visualization, must still overcome the barriers of specialized software and expertise among other challenges. The GABBs project aims at enabling broader access to geospatial data exploration and computation by developing spatial data infrastructure building blocks that leverage capabilities of end-to-end application service and virtualized computing framework in HUBzero. Funded by NSF Data Infrastructure Building Blocks (DIBBS) initiative, GABBs provides a geospatial data architecture that integrates spatial data management, mapping and visualization and will make it available as open source. The outcome of the project will enable users to rapidly create tools and share geospatial data and tools on the web for interactive exploration of data without requiring significant software development skills, GIS expertise or IT administrative privileges. This presentation will describe the development of geospatial data infrastructure building blocks and the scientific use cases that help drive the software development, as well as seek feedback from the user communities.

  7. Advancements in Open Geospatial Standards for Photogrammetry and Remote Sensing from Ogc

    NASA Astrophysics Data System (ADS)

    Percivall, George; Simonis, Ingo

    2016-06-01

    The necessity of open standards for effective sharing and use of remote sensing continues to receive increasing emphasis in policies of agencies and projects around the world. Coordination on the development of open standards for geospatial information is a vital step to insure that the technical standards are ready to support the policy objectives. The mission of the Open Geospatial Consortium (OGC) is to advance development and use of international standards and supporting services that promote geospatial interoperability. To accomplish this mission, OGC serves as the global forum for the collaboration of geospatial data / solution providers and users. Photogrammetry and remote sensing are sources of the largest and most complex geospatial information. Some of the most mature OGC standards for remote sensing include the Sensor Web Enablement (SWE) standards, the Web Coverage Service (WCS) suite of standards, encodings such as NetCDF, GMLJP2 and GeoPackage, and the soon to be approved Discrete Global Grid Systems (DGGS) standard. In collaboration with ISPRS, OGC working with government, research and industrial organizations continue to advance the state of geospatial standards for full use of photogrammetry and remote sensing.

  8. GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow

    USGS Publications Warehouse

    Falcone, James A.

    2011-01-01

    This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES, which was published as a Data Paper on the journal Ecology's website (Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages were identified based on indicators that they were the least-disturbed watersheds within the framework of broad regions, based on 12 major ecoregions across the United States. Of the 9,322 total sites, 2,057 are classified as reference, and 7,265 as non-reference. Of the 2,057 reference sites, 1,633 have (through 2009) 20+ years of record since 1950. Some sites have very long flow records: a number of gages have been in continuous service since 1900 (at least), and have 110 years of complete record (1900-2009) to date. The geospatial data include several hundred watershed characteristics compiled from national data sources, including environmental features (e.g. climate – including historical precipitation, geology, soils, topography) and anthropogenic influences (e.g. land use, road density, presence of dams, canals, or power plants). The dataset also includes comments from local USGS Water Science Centers, based on Annual Data Reports, pertinent to hydrologic modifications and influences. The data posted also include watershed boundaries in GIS format. This overall dataset is different in nature to the USGS Hydro-Climatic Data Network (HCDN; Slack and Landwehr 1992), whose data evaluation ended with water year 1988. The HCDN identifies stream gages which at some point in their history had

  9. A web service for service composition to aid geospatial modelers

    NASA Astrophysics Data System (ADS)

    Bigagli, L.; Santoro, M.; Roncella, R.; Mazzetti, P.

    2012-04-01

    The identification of appropriate mechanisms for process reuse, chaining and composition is considered a key enabler for the effective uptake of a global Earth Observation infrastructure, currently pursued by the international geospatial research community. In the Earth and Space Sciences, such a facility could primarily enable integrated and interoperable modeling, for what several approaches have been proposed and developed, over the last years. In fact, GEOSS is specifically tasked with the development of the so-called "Model Web". At increasing levels of abstraction and generalization, the initial stove-pipe software tools have evolved to community-wide modeling frameworks, to Component-Based Architecture solution, and, more recently, started to embrace Service-Oriented Architectures technologies, such as the OGC WPS specification and the WS-* stack of W3C standards for service composition. However, so far, the level of abstraction seems too low for implementing the Model Web vision, and far too complex technological aspects must still be addressed by both providers and users, resulting in limited usability and, eventually, difficult uptake. As by the recent ICT trend of resource virtualization, it has been suggested that users in need of a particular processing capability, required by a given modeling workflow, may benefit from outsourcing the composition activities into an external first-class service, according to the Composition as a Service (CaaS) approach. A CaaS system provides the necessary interoperability service framework for adaptation, reuse and complementation of existing processing resources (including models and geospatial services in general) in the form of executable workflows. This work introduces the architecture of a CaaS system, as a distributed information system for creating, validating, editing, storing, publishing, and executing geospatial workflows. This way, the users can be freed from the need of a composition infrastructure and

  10. Mapping the physical location of Telecenter using the geospatial information systems: A requirement of spatial digital mapping

    NASA Astrophysics Data System (ADS)

    Bohari, Abdul Manaf; Hin, Cheng Wei; Fuad, Nurwahida

    2016-08-01

    Recently, a study of Telecenter lifetime value is vital to academician, government and non-profit organization where Telecenter has great contribute to the nation development of rural community. Telecenter as important location of enhance the relationship of socio-economic, where placed all non-profit activity into single location platform. Consistently, previous studies mentioned Telecenter have significance contribution toward the nation, however, research and knowledge still lacking regarding the location factors that affecting the Telecenter specifically on spatial aspects of physical location environment. This research aimed to understand the requirement of spatial digital mapping the physical location of Telecenter, according to location of user and it environment, by using the geospatial information systems references, as called grid coordinate systems. The suggestion and implications of this study are briefly explored where spatial location factor plays important role in determine the lifetime value of Telecenter.

  11. Quantitative, Qualitative and Geospatial Methods to Characterize HIV Risk Environments

    PubMed Central

    Conners, Erin E.; West, Brooke S.; Roth, Alexis M.; Meckel-Parker, Kristen G.; Kwan, Mei-Po; Magis-Rodriguez, Carlos; Staines-Orozco, Hugo; Clapp, John D.; Brouwer, Kimberly C.

    2016-01-01

    Increasingly, ‘place’, including physical and geographical characteristics as well as social meanings, is recognized as an important factor driving individual and community health risks. This is especially true among marginalized populations in low and middle income countries (LMIC), whose environments may also be more difficult to study using traditional methods. In the NIH-funded longitudinal study Mapa de Salud, we employed a novel approach to exploring the risk environment of female sex workers (FSWs) in two Mexico/U.S. border cities, Tijuana and Ciudad Juárez. In this paper we describe the development, implementation, and feasibility of a mix of quantitative and qualitative tools used to capture the HIV risk environments of FSWs in an LMIC setting. The methods were: 1) Participatory mapping; 2) Quantitative interviews; 3) Sex work venue field observation; 4) Time-location-activity diaries; 5) In-depth interviews about daily activity spaces. We found that the mixed-methodology outlined was both feasible to implement and acceptable to participants. These methods can generate geospatial data to assess the role of the environment on drug and sexual risk behaviors among high risk populations. Additionally, the adaptation of existing methods for marginalized populations in resource constrained contexts provides new opportunities for informing public health interventions. PMID:27191846

  12. Geospatial analysis identifies critical mineral-resource potential in Alaska

    USGS Publications Warehouse

    Karl, Susan; Labay, Keith; Jacques, Katherine; Landowski, Claire

    2017-03-03

    Alaska consists of more than 663,000 square miles (1,717,000 square kilometers) of land—more than a sixth of the total area of the United States—and large tracts of it have not been systematically studied or sampled for mineral-resource potential. Many regions of the State are known to have significant mineral-resource potential, and there are currently six operating mines in the State along with numerous active mineral exploration projects. The U.S. Geological Survey and the Alaska Division of Geological & Geophysical Surveys have developed a new geospatial tool that integrates and analyzes publicly available databases of geologic information and estimates the mineral-resource potential for critical minerals, which was recently used to evaluate Alaska. The results of the analyses highlight areas that have known mineral deposits and also reveal areas that were not previously considered to be prospective for these deposit types. These results will inform land management decisions by Federal, State, and private landholders, and will also help guide future exploration activities and scientific investigations in Alaska.

  13. A linear geospatial streamflow modeling system for data sparse environments

    USGS Publications Warehouse

    Asante, Kwabena O.; Arlan, Guleid A.; Pervez, Md Shahriar; Rowland, James

    2008-01-01

    In many river basins around the world, inaccessibility of flow data is a major obstacle to water resource studies and operational monitoring. This paper describes a geospatial streamflow modeling system which is parameterized with global terrain, soils and land cover data and run operationally with satellite‐derived precipitation and evapotranspiration datasets. Simple linear methods transfer water through the subsurface, overland and river flow phases, and the resulting flows are expressed in terms of standard deviations from mean annual flow. In sample applications, the modeling system was used to simulate flow variations in the Congo, Niger, Nile, Zambezi, Orange and Lake Chad basins between 1998 and 2005, and the resulting flows were compared with mean monthly values from the open‐access Global River Discharge Database. While the uncalibrated model cannot predict the absolute magnitude of flow, it can quantify flow anomalies in terms of relative departures from mean flow. Most of the severe flood events identified in the flow anomalies were independently verified by the Dartmouth Flood Observatory (DFO) and the Emergency Disaster Database (EM‐DAT). Despite its limitations, the modeling system is valuable for rapid characterization of the relative magnitude of flood hazards and seasonal flow changes in data sparse settings.

  14. Geospatial Habitat Analysis in Pacific Northwest Coastal Estuaries

    SciTech Connect

    Borde, Amy B. ); Thom, Ronald M. ); Rumrill, Steven; Miller, L M.

    2003-08-01

    We assessed historical changes in the location and amount of estuarine habitat in three of the four largest coastal estuaries in the Pacific Northwest (Grays Harbor, Willapa Bay, and Coos Bay) as part of the Pacific Northwest Coastal Ecosystem Regional Study (PNCERS). To accomplish this, navigation charts, hydrographic survey data, maps, and published descriptions were used to gain information on the location of the shoreline, bathymetry, and vegetated habitats, which was then digitized and subjected to geospatial analysis using a geographic information system. In addition, we used present-day elevational boundaries for marshes, flats, and eelgrass meadows to help define habitat areas where they were not indicated on historical maps. The analysis showed that tidal flats have decreased in all study areas; potential eelgrass habitat has increased in Grays Harbor and Willapa Bay and decreased slightly in Coos Bay; tidal wetland area has declined in all three coastal estuaries, with increases in localized areas due to filling and sedimentation; and dramatic changes have occurred at the mouths of Grays Harbor and Willapa Bay. As has been shown before, these data illustrate that direct physical alteration (filling and diking) has resulted in large changes to habitats. However, indirect impacts from forest practices in the watershed, as well as variation in climatic factors and oceanographic processes, may also have contributed to changes. The information provides more evidence for managing estuarine habitats in the region and a employing a historical template to plan habitat restoration in the future.

  15. Quantitative, Qualitative and Geospatial Methods to Characterize HIV Risk Environments.

    PubMed

    Conners, Erin E; West, Brooke S; Roth, Alexis M; Meckel-Parker, Kristen G; Kwan, Mei-Po; Magis-Rodriguez, Carlos; Staines-Orozco, Hugo; Clapp, John D; Brouwer, Kimberly C

    2016-01-01

    Increasingly, 'place', including physical and geographical characteristics as well as social meanings, is recognized as an important factor driving individual and community health risks. This is especially true among marginalized populations in low and middle income countries (LMIC), whose environments may also be more difficult to study using traditional methods. In the NIH-funded longitudinal study Mapa de Salud, we employed a novel approach to exploring the risk environment of female sex workers (FSWs) in two Mexico/U.S. border cities, Tijuana and Ciudad Juárez. In this paper we describe the development, implementation, and feasibility of a mix of quantitative and qualitative tools used to capture the HIV risk environments of FSWs in an LMIC setting. The methods were: 1) Participatory mapping; 2) Quantitative interviews; 3) Sex work venue field observation; 4) Time-location-activity diaries; 5) In-depth interviews about daily activity spaces. We found that the mixed-methodology outlined was both feasible to implement and acceptable to participants. These methods can generate geospatial data to assess the role of the environment on drug and sexual risk behaviors among high risk populations. Additionally, the adaptation of existing methods for marginalized populations in resource constrained contexts provides new opportunities for informing public health interventions.

  16. A geospatial suitability model for drought-tolerant switchgrass

    NASA Astrophysics Data System (ADS)

    Lewis, S. M.; Kelly, M.

    2011-12-01

    A perennial grass native to the North America, switchgrass (Panicum virgatum) has been targeted by the USDA as a model mass bioenergy crop to replace petroleum energy products and meet policy demands. Although highly water use efficient, as a warm-season crop, switchgrass requires a significant amount of water during the growing season (April -September). However, locations that have highly reliable water availability are also ideal for profitable food crops (e.g. corn and soy growing regions) and food competition is a significant concern in regards to biofuel crops being grown on productive agricultural lands. Drier, marginal lands (lands on which normal agricultural crops are difficult to cultivate) are therefore potentially ideal locations to grow biofuel crops to ensure that food competition is not an issue. Genetics scientists at UC Davis are in the process of developing a modified variety of switchgrass that can withstand extended periods of drought while not substantially affecting overall yield. As this product is being developed, it is important to identify the potential geographical niche for this new drought-tolerant variety of switchgrass. This project introduces a geospatial approach that utilizes both physical and economic variables to identify ideal geographic locations for this innovative crop.

  17. Encoding and analyzing aerial imagery using geospatial semantic graphs

    SciTech Connect

    Watson, Jean-Paul; Strip, David R.; McLendon, William C.; Parekh, Ojas D.; Diegert, Carl F.; Martin, Shawn Bryan; Rintoul, Mark Daniel

    2014-02-01

    While collection capabilities have yielded an ever-increasing volume of aerial imagery, analytic techniques for identifying patterns in and extracting relevant information from this data have seriously lagged. The vast majority of imagery is never examined, due to a combination of the limited bandwidth of human analysts and limitations of existing analysis tools. In this report, we describe an alternative, novel approach to both encoding and analyzing aerial imagery, using the concept of a geospatial semantic graph. The advantages of our approach are twofold. First, intuitive templates can be easily specified in terms of the domain language in which an analyst converses. These templates can be used to automatically and efficiently search large graph databases, for specific patterns of interest. Second, unsupervised machine learning techniques can be applied to automatically identify patterns in the graph databases, exposing recurring motifs in imagery. We illustrate our approach using real-world data for Anne Arundel County, Maryland, and compare the performance of our approach to that of an expert human analyst.

  18. Integrated web system of geospatial data services for climate research

    NASA Astrophysics Data System (ADS)

    Okladnikov, Igor; Gordov, Evgeny; Titov, Alexander

    2016-04-01

    Georeferenced datasets are currently actively used for modeling, interpretation and forecasting of climatic and ecosystem changes on different spatial and temporal scales. Due to inherent heterogeneity of environmental datasets as well as their huge size (up to tens terabytes for a single dataset) a special software supporting studies in the climate and environmental change areas is required. An approach for integrated analysis of georefernced climatological data sets based on combination of web and GIS technologies in the framework of spatial data infrastructure paradigm is presented. According to this approach a dedicated data-processing web system for integrated analysis of heterogeneous georeferenced climatological and meteorological data is being developed. It is based on Open Geospatial Consortium (OGC) standards and involves many modern solutions such as object-oriented programming model, modular composition, and JavaScript libraries based on GeoExt library, ExtJS Framework and OpenLayers software. This work is supported by the Ministry of Education and Science of the Russian Federation, Agreement #14.613.21.0037.

  19. Geospatial technologies and digital geomorphological mapping: Concepts, issues and research

    NASA Astrophysics Data System (ADS)

    Bishop, Michael P.; James, L. Allan; Shroder, John F.; Walsh, Stephen J.

    2012-01-01

    Geomorphological mapping plays an essential role in understanding Earth surface processes, geochronology, natural resources, natural hazards and landscape evolution. It involves the partitioning of the terrain into conceptual spatial entities based upon criteria that include morphology (form), genetics (process), composition and structure, chronology, environmental system associations (land cover, soils, ecology), as well as spatial topological relationships of surface features (landforms). Historically, the power of human visualization was primarily relied upon for analysis, introducing subjectivity and biases with respect to selection of criteria for terrain segmentation and placement of boundaries. This paper reviews new spatio-temporal data and geocomputational approaches that now permit Earth scientists to go far beyond traditional mapping, permitting quantitative characterization of landscape morphology and the integration of varied landscape thematic information. Numerous conceptual, theoretical, and information-technology issues are at the heart of digital geomorphological mapping (DGM), and scientific progress has not kept pace with new and rapidly evolving geospatial technologies. Consequently, new capabilities exist but numerous issues have not been adequately addressed. Therefore, this paper discusses conceptual foundations and illustrates how geomorphometry and mapping approaches can be used to produce geomorphological information related to the land surface and landforms, process rates, process-form relationships, and geomorphic systems.

  20. Geospatial Modelling Approach for 3d Urban Densification Developments

    NASA Astrophysics Data System (ADS)

    Koziatek, O.; Dragićević, S.; Li, S.

    2016-06-01

    With growing populations, economic pressures, and the need for sustainable practices, many urban regions are rapidly densifying developments in the vertical built dimension with mid- and high-rise buildings. The location of these buildings can be projected based on key factors that are attractive to urban planners, developers, and potential buyers. Current research in this area includes various modelling approaches, such as cellular automata and agent-based modelling, but the results are mostly linked to raster grids as the smallest spatial units that operate in two spatial dimensions. Therefore, the objective of this research is to develop a geospatial model that operates on irregular spatial tessellations to model mid- and high-rise buildings in three spatial dimensions (3D). The proposed model is based on the integration of GIS, fuzzy multi-criteria evaluation (MCE), and 3D GIS-based procedural modelling. Part of the City of Surrey, within the Metro Vancouver Region, Canada, has been used to present the simulations of the generated 3D building objects. The proposed 3D modelling approach was developed using ESRI's CityEngine software and the Computer Generated Architecture (CGA) language.

  1. A Practice Approach of Multi-source Geospatial Data Integration for Web-based Geoinformation Services

    NASA Astrophysics Data System (ADS)

    Huang, W.; Jiang, J.; Zha, Z.; Zhang, H.; Wang, C.; Zhang, J.

    2014-04-01

    Geospatial data resources are the foundation of the construction of geo portal which is designed to provide online geoinformation services for the government, enterprise and public. It is vital to keep geospatial data fresh, accurate and comprehensive in order to satisfy the requirements of application and development of geographic location, route navigation, geo search and so on. One of the major problems we are facing is data acquisition. For us, integrating multi-sources geospatial data is the mainly means of data acquisition. This paper introduced a practice integration approach of multi-source geospatial data with different data model, structure and format, which provided the construction of National Geospatial Information Service Platform of China (NGISP) with effective technical supports. NGISP is the China's official geo portal which provides online geoinformation services based on internet, e-government network and classified network. Within the NGISP architecture, there are three kinds of nodes: national, provincial and municipal. Therefore, the geospatial data is from these nodes and the different datasets are heterogeneous. According to the results of analysis of the heterogeneous datasets, the first thing we do is to define the basic principles of data fusion, including following aspects: 1. location precision; 2.geometric representation; 3. up-to-date state; 4. attribute values; and 5. spatial relationship. Then the technical procedure is researched and the method that used to process different categories of features such as road, railway, boundary, river, settlement and building is proposed based on the principles. A case study in Jiangsu province demonstrated the applicability of the principle, procedure and method of multi-source geospatial data integration.

  2. Identification of phreatophytic groundwater dependent ecosystems using geospatial technologies

    NASA Astrophysics Data System (ADS)

    Perez Hoyos, Isabel Cristina

    The protection of groundwater dependent ecosystems (GDEs) is increasingly being recognized as an essential aspect for the sustainable management and allocation of water resources. Ecosystem services are crucial for human well-being and for a variety of flora and fauna. However, the conservation of GDEs is only possible if knowledge about their location and extent is available. Several studies have focused on the identification of GDEs at specific locations using ground-based measurements. However, recent progress in technologies such as remote sensing and their integration with geographic information systems (GIS) has provided alternative ways to map GDEs at much larger spatial extents. This study is concerned with the discovery of patterns in geospatial data sets using data mining techniques for mapping phreatophytic GDEs in the United States at 1 km spatial resolution. A methodology to identify the probability of an ecosystem to be groundwater dependent is developed. Probabilities are obtained by modeling the relationship between the known locations of GDEs and main factors influencing groundwater dependency, namely water table depth (WTD) and aridity index (AI). A methodology is proposed to predict WTD at 1 km spatial resolution using relevant geospatial data sets calibrated with WTD observations. An ensemble learning algorithm called random forest (RF) is used in order to model the distribution of groundwater in three study areas: Nevada, California, and Washington, as well as in the entire United States. RF regression performance is compared with a single regression tree (RT). The comparison is based on contrasting training error, true prediction error, and variable importance estimates of both methods. Additionally, remote sensing variables are omitted from the process of fitting the RF model to the data to evaluate the deterioration in the model performance when these variables are not used as an input. Research results suggest that although the prediction

  3. Validation techniques of agent based modelling for geospatial simulations

    NASA Astrophysics Data System (ADS)

    Darvishi, M.; Ahmadi, G.

    2014-10-01

    One of the most interesting aspects of modelling and simulation study is to describe the real world phenomena that have specific properties; especially those that are in large scales and have dynamic and complex behaviours. Studying these phenomena in the laboratory is costly and in most cases it is impossible. Therefore, Miniaturization of world phenomena in the framework of a model in order to simulate the real phenomena is a reasonable and scientific approach to understand the world. Agent-based modelling and simulation (ABMS) is a new modelling method comprising of multiple interacting agent. They have been used in the different areas; for instance, geographic information system (GIS), biology, economics, social science and computer science. The emergence of ABM toolkits in GIS software libraries (e.g. ESRI's ArcGIS, OpenMap, GeoTools, etc) for geospatial modelling is an indication of the growing interest of users to use of special capabilities of ABMS. Since ABMS is inherently similar to human cognition, therefore it could be built easily and applicable to wide range applications than a traditional simulation. But a key challenge about ABMS is difficulty in their validation and verification. Because of frequent emergence patterns, strong dynamics in the system and the complex nature of ABMS, it is hard to validate and verify ABMS by conventional validation methods. Therefore, attempt to find appropriate validation techniques for ABM seems to be necessary. In this paper, after reviewing on Principles and Concepts of ABM for and its applications, the validation techniques and challenges of ABM validation are discussed.

  4. Graduate Ethics Curricula for Future Geospatial Technology Professionals (Invited)

    NASA Astrophysics Data System (ADS)

    Wright, D. J.; Dibiase, D.; Harvey, F.; Solem, M.

    2009-12-01

    Professionalism in today's rapidly-growing, multidisciplinary geographic information science field (e.g., geographic information systems or GIS, remote sensing, cartography, quantitative spatial analysis), now involves a commitment to ethical practice as informed by a more sophisticated understanding of the ethical implications of geographic technologies. The lack of privacy introduced by mobile mapping devices, the use of GIS for military and surveillance purposes, the appropriate use of data collected using these technologies for policy decisions (especially for conservation and sustainability) and general consequences of inequities that arise through biased access to geospatial tools and derived data all continue to be challenging issues and topics of deep concern for many. Students and professionals working with GIS and related technologies should develop a sound grasp of these issues and a thorough comprehension of the concerns impacting their use and development in today's world. However, while most people agree that ethics matters for GIS, we often have difficulty putting ethical issues into practice. An ongoing project supported by NSF seeks to bridge this gap by providing a sound basis for future ethical consideration of a variety of issues. A model seminar curriculum is under development by a team of geographic information science and technology (GIS&T) researchers and professional ethicists, along with protocols for course evaluations. In the curricula students first investigate the nature of professions in general and the characteristics of a GIS&T profession in particular. They hone moral reasoning skills through methodical analyses of case studies in relation to various GIS Code of Ethics and Rules of Conduct. They learn to unveil the "moral ecologies" of a profession through actual interviews with real practitioners in the field. Assignments thus far include readings, class discussions, practitioner interviews, and preparations of original case

  5. Effective Management of Trans boundary Landscapes - Geospatial Applications

    NASA Astrophysics Data System (ADS)

    Kotru, R.; Rawal, R. S.; Mathur, P. K.; Chettri, N.; Chaudhari, S. A.; Uddin, K.; Murthy, M. S. R.; Singh, S.

    2014-11-01

    The Convention on Biological Diversity advocates the use of landscape and ecosystem approaches for managing biodiversity, in recognition of the need for increased regional cooperation. In this context, ICIMOD and regional partners have evolved Transboundary Landscape concept to address the issues of conservation and sustainable use of natural resources and systems (e.g., biodiversity, rangelands, farming systems, forests, wetlands, and watersheds, etc.). This concept defines the landscapes by ecosystems rather than political/administrative boundaries. The Hindu Kush Himalayan (HKH) region is extremely heterogeneous, with complex inter linkages of biomes and habitats as well as strong upstream-downstream linkages related to the provisioning of ecosystem services. Seven such transboundary landscapes, identified across west to east extent of HKH, have been considered for programmatic cooperation, include: Wakhan, Karakoram-Pamir, Kailash, Everest, Kangchenjunga, Brahmaputra-Salween, and Cherrapunjee- Chittagong. The approach is people centered and considers the cultural conservation as an essential first step towards resource conservation efforts in the region. Considering the multi-scale requirements of study, the geospatial technology has been effectively adopted towards: (i) understanding temporal changes in landscapes, (ii) long term ecological and social monitoring, (ii) identifying potential bio corridors, (iii) assessing landscape level vulnerability due to climatic and non-climatic drivers, and (iv) developing local plans on extractions of high value economic species supporting livelihoods, agroforestry system and ecotourism, etc. We present here our recent experiences across different landscapes on assessment of three decadal changes, vegetation type mapping, assessment of socio-ecological drivers, corridor assessment, ecosystem services assessment, models for optimal natural resource use systems and long term socio-ecological monitoring.

  6. Quantifying environmental limiting factors on tree cover using geospatial data.

    PubMed

    Greenberg, Jonathan A; Santos, Maria J; Dobrowski, Solomon Z; Vanderbilt, Vern C; Ustin, Susan L

    2015-01-01

    Environmental limiting factors (ELFs) are the thresholds that determine the maximum or minimum biological response for a given suite of environmental conditions. We asked the following questions: 1) Can we detect ELFs on percent tree cover across the eastern slopes of the Lake Tahoe Basin, NV? 2) How are the ELFs distributed spatially? 3) To what extent are unmeasured environmental factors limiting tree cover? ELFs are difficult to quantify as they require significant sample sizes. We addressed this by using geospatial data over a relatively large spatial extent, where the wall-to-wall sampling ensures the inclusion of rare data points which define the minimum or maximum response to environmental factors. We tested mean temperature, minimum temperature, potential evapotranspiration (PET) and PET minus precipitation (PET-P) as potential limiting factors on percent tree cover. We found that the study area showed system-wide limitations on tree cover, and each of the factors showed evidence of being limiting on tree cover. However, only 1.2% of the total area appeared to be limited by the four (4) environmental factors, suggesting other unmeasured factors are limiting much of the tree cover in the study area. Where sites were near their theoretical maximum, non-forest sites (tree cover < 25%) were primarily limited by cold mean temperatures, open-canopy forest sites (tree cover between 25% and 60%) were primarily limited by evaporative demand, and closed-canopy forests were not limited by any particular environmental factor. The detection of ELFs is necessary in order to fully understand the width of limitations that species experience within their geographic range.

  7. Quantifying Environmental Limiting Factors on Tree Cover Using Geospatial Data

    PubMed Central

    Greenberg, Jonathan A.; Santos, Maria J.; Dobrowski, Solomon Z.; Vanderbilt, Vern C.; Ustin, Susan L.

    2015-01-01

    Environmental limiting factors (ELFs) are the thresholds that determine the maximum or minimum biological response for a given suite of environmental conditions. We asked the following questions: 1) Can we detect ELFs on percent tree cover across the eastern slopes of the Lake Tahoe Basin, NV? 2) How are the ELFs distributed spatially? 3) To what extent are unmeasured environmental factors limiting tree cover? ELFs are difficult to quantify as they require significant sample sizes. We addressed this by using geospatial data over a relatively large spatial extent, where the wall-to-wall sampling ensures the inclusion of rare data points which define the minimum or maximum response to environmental factors. We tested mean temperature, minimum temperature, potential evapotranspiration (PET) and PET minus precipitation (PET-P) as potential limiting factors on percent tree cover. We found that the study area showed system-wide limitations on tree cover, and each of the factors showed evidence of being limiting on tree cover. However, only 1.2% of the total area appeared to be limited by the four (4) environmental factors, suggesting other unmeasured factors are limiting much of the tree cover in the study area. Where sites were near their theoretical maximum, non-forest sites (tree cover < 25%) were primarily limited by cold mean temperatures, open-canopy forest sites (tree cover between 25% and 60%) were primarily limited by evaporative demand, and closed-canopy forests were not limited by any particular environmental factor. The detection of ELFs is necessary in order to fully understand the width of limitations that species experience within their geographic range. PMID:25692604

  8. Discovery of Marine Datasets and Geospatial Metadata Visualization

    NASA Astrophysics Data System (ADS)

    Schwehr, K. D.; Brennan, R. T.; Sellars, J.; Smith, S.

    2009-12-01

    NOAA's National Geophysical Data Center (NGDC) provides the deep archive of US multibeam sonar hydrographic surveys. NOAA stores the data as Bathymetric Attributed Grids (BAG; http://www.opennavsurf.org/) that are HDF5 formatted files containing gridded bathymetry, gridded uncertainty, and XML metadata. While NGDC provides the deep store and a basic ERSI ArcIMS interface to the data, additional tools need to be created to increase the frequency with which researchers discover hydrographic surveys that might be beneficial for their research. Using Open Source tools, we have created a draft of a Google Earth visualization of NOAA's complete collection of BAG files as of March 2009. Each survey is represented as a bounding box, an optional preview image of the survey data, and a pop up placemark. The placemark contains a brief summary of the metadata and links to directly download of the BAG survey files and the complete metadata file. Each survey is time tagged so that users can search both in space and time for surveys that meet their needs. By creating this visualization, we aim to make the entire process of data discovery, validation of relevance, and download much more efficient for research scientists who may not be familiar with NOAA's hydrographic survey efforts or the BAG format. In the process of creating this demonstration, we have identified a number of improvements that can be made to the hydrographic survey process in order to make the results easier to use especially with respect to metadata generation. With the combination of the NGDC deep archiving infrastructure, a Google Earth virtual globe visualization, and GeoRSS feeds of updates, we hope to increase the utilization of these high-quality gridded bathymetry. This workflow applies equally well to LIDAR topography and bathymetry. Additionally, with proper referencing and geotagging in journal publications, we hope to close the loop and help the community create a true “Geospatial Scholar

  9. Smart sensor-based geospatial architecture for dike monitoring

    NASA Astrophysics Data System (ADS)

    Herle, S.; Becker, R.; Blankenbach, J.

    2016-04-01

    Artificial hydraulic structures like dams or dikes used for water level regulations or flood prevention are continuously under the influence of the weather and variable river regimes. Thus, ongoing monitoring and simulation is crucial in order to determine the inner condition. Potentially life-threatening situations, in extreme case a failure, must be counteracted by all available means. Nowadays flood warning systems rely exclusively on water level forecast without considering the state of the structure itself. Area-covering continuous knowledge of the inner state including time dependent changes increases the capability of recognizing and locating vulnerable spots for early treatment. In case of a predicted breach, advance warning time for alerting affected citizens can be extended. Our approach is composed of smart sensors integrated in a service-oriented geospatial architecture to monitor and simulate artificial hydraulic structures continuously. The sensors observe the inner state of the construction like the soil moisture or the stress and deformation over time but also various external influences like water levels or wind speed. They are interconnected in distributed network architecture by a so-called sensor bus system based on lightweight protocols like Message Queue Telemetry Transport for Sensor Networks (MQTT-SN). These sensor data streams are transferred into an OGC Sensor Web Enablement (SWE) data structure providing high-level geo web services to end users. Bundled with 3rd party geo web services (WMS etc.) powerful processing and simulation tools can be invoked using the Web Processing Service (WPS) standard. Results will be visualized in a geoportal allowing user access to all information.

  10. Imprementation of Vgi-Based Geoportal for Empowering Citizen's Geospatial Observatories Related to Urban Disaster Management

    NASA Astrophysics Data System (ADS)

    Lee, Sanghoon

    2016-06-01

    The volunteered geospatial information (VGI) will be efficient and cost-effective method for generating and sharing large disasterrelated geospatial data. The national mapping organizations have played the role of major geospatial collector have been moving toward the considering public participation data collecting method. Due to VGI can conduct to encourage public participation and empower citizens, mapping agency could make a partnership with members of the VGI community to help to provide well-structured geospatial data. In order to effectively be understood and sharing the public semantics, datasets and action model of the public participation GeoPortal, the implemented VGI-GeoPortal designated as the basis of ISO 19154, ISO 19101 and OGC Reference Model. The proof of concepts of VGI-GeoPortal has been implemented urban flooding use-case in Republic of Korea to collect from the public, and analyze disaster-related geospatial data including high-disaster potential information such as the location of poor drainage sewer, small signs of occurring landslide, flooding vulnerability of urban structure, and etc.

  11. Issues on Building Kazakhstan Geospatial Portal to Implement E-Government

    NASA Astrophysics Data System (ADS)

    Sagadiyev, K.; Kang, H. K.; Li, K. J.

    2016-06-01

    A main issue in developing e-government is about how to integrate and organize many complicated processes and different stakeholders. Interestingly geospatial information provides an efficient framework to integrate and organized them. In particular, it is very useful to integrate the process of land management in e-government with geospatial information framework, since most of land management tasks are related with geospatial properties. In this paper, we present a use-case on the e-government project in Kazakhstan for land management. We develop a geoportal to connect many tasks and different users via geospatial information framework. This geoportal is based on open source geospatial software including GeoServer, PostGIS, and OpenLayers. With this geoportal, we expect three achievements as follows. First we establish a transparent governmental process, which is one of main goal of e-government. Every stakeholder monitors what is happening in land management process. Second, we can significantly reduce the time and efforts in the government process. For example, a grant procedure for a building construction has taken more than one year with more than 50 steps. It is expected that this procedure would be reduced to 2 weeks by the geoportal framework. Third we provide a collaborative environment between different governmental structures via the geoportal, while many conflicts and mismatches have been a critical issue of governmental administration processes.

  12. Towards the Development of a Taxonomy for Visualisation of Streamed Geospatial Data

    NASA Astrophysics Data System (ADS)

    Sibolla, B. H.; Van Zyl, T.; Coetzee, S.

    2016-06-01

    Geospatial data has very specific characteristics that need to be carefully captured in its visualisation, in order for the user and the viewer to gain knowledge from it. The science of visualisation has gained much traction over the last decade as a response to various visualisation challenges. During the development of an open source based, dynamic two-dimensional visualisation library, that caters for geospatial streaming data, it was found necessary to conduct a review of existing geospatial visualisation taxonomies. The review was done in order to inform the design phase of the library development, such that either an existing taxonomy can be adopted or extended to fit the needs at hand. The major challenge in this case is to develop dynamic two dimensional visualisations that enable human interaction in order to assist the user to understand the data streams that are continuously being updated. This paper reviews the existing geospatial data visualisation taxonomies that have been developed over the years. Based on the review, an adopted taxonomy for visualisation of geospatial streaming data is presented. Example applications of this taxonomy are also provided. The adopted taxonomy will then be used to develop the information model for the visualisation library in a further study.

  13. Assessment of forest geospatial patterns over the three giant forest areas of China

    USGS Publications Warehouse

    Li, M.-S.; Zhu, Z.-L.; Lu, H.; Xu, D.; Liu, A.-X.; Peng, S.-K.

    2008-01-01

    Geospatial patterns of forest fragmentation over the three traditional giant forested areas of China (Northeastern, southwestern and Southern China) were analyzed comparatively and reported based on a 250-m resolution land cover dataset. Specifically, the spatial patterns of forest fragmentation were characterized by combining geospatial metrics and forest fragmentation models. The driving forces resulting in the differences of the forest spatial patterns were also investigated. Results suggested that forests in southwest China had the highest severity of forest fragmentation, followed by south region and northeast region. The driving forces of forest fragmentation in China were primarily the giant population and improper exploitation of forests. In conclusion, the generated information in the study provided valuable insights and implications as to the fragmentation patterns and the conservation of biodiversity or genes, and the use of the chosen geospatial metrics and forest fragmentation models was quite useful for depicting forest fragmentation patterns. ?? 2008 Northeast Forestry University.

  14. GX-Means: A model-based divide and merge algorithm for geospatial image clustering

    SciTech Connect

    Vatsavai, Raju; Symons, Christopher T; Chandola, Varun; Jun, Goo

    2011-01-01

    One of the practical issues in clustering is the specification of the appropriate number of clusters, which is not obvious when analyzing geospatial datasets, partly because they are huge (both in size and spatial extent) and high dimensional. In this paper we present a computationally efficient model-based split and merge clustering algorithm that incrementally finds model parameters and the number of clusters. Additionally, we attempt to provide insights into this problem and other data mining challenges that are encountered when clustering geospatial data. The basic algorithm we present is similar to the G-means and X-means algorithms; however, our proposed approach avoids certain limitations of these well-known clustering algorithms that are pertinent when dealing with geospatial data. We compare the performance of our approach with the G-means and X-means algorithms. Experimental evaluation on simulated data and on multispectral and hyperspectral remotely sensed image data demonstrates the effectiveness of our algorithm.

  15. The clearinghouse concept: a model for geospatial data centralization and dissemination in a disaster.

    PubMed

    Mills, Jacqueline Warren; Curtis, Andrew; Pine, John C; Kennedy, Barrett; Jones, Farrell; Ramani, Ramesh; Bausch, Douglas

    2008-09-01

    The disaster clearinghouse concept originates with the earthquake community as an effort to coordinate research and data collection activities. Though prior earthquake clearinghouses are small in comparison to what was needed in response to Hurricane Katrina, these seminal structures are germane to the establishment of our current model. On 3 September 2005, five days after Katrina wrought cataclysmic destruction along the Gulf Coast, FEMA and Louisiana State University personnel met to establish the LSU GIS Clearinghouse Cooperative (LGCC), a resource for centralization and dissemination of geospatial information related to Hurricane Katrina. Since its inception, the LGCC has developed into a working model for organization, dissemination, archiving and research regarding geospatial information in a disaster. This article outlines the formation of the LGCC, issues of data organization, and methods of data dissemination and archiving with an eye towards implementing the clearinghouse model as a standard resource for addressing geospatial data needs in disaster research and management.

  16. Geospatial Information Relevant to the Flood Protection Available on The Mainstream Web

    NASA Astrophysics Data System (ADS)

    Kliment, Tomáš; Gálová, Linda; Ďuračiová, Renata; Fencík, Róbert; Kliment, Marcel

    2014-03-01

    Flood protection is one of several disciplines where geospatial data is very important and is a crucial component. Its management, processing and sharing form the foundation for their efficient use; therefore, special attention is required in the development of effective, precise, standardized, and interoperable models for the discovery and publishing of data on the Web. This paper describes the design of a methodology to discover Open Geospatial Consortium (OGC) services on the Web and collect descriptive information, i.e., metadata in a geocatalogue. A pilot implementation of the proposed methodology - Geocatalogue of geospatial information provided by OGC services discovered on Google (hereinafter "Geocatalogue") - was used to search for available resources relevant to the area of flood protection. The result is an analysis of the availability of resources discovered through their metadata collected from the OGC services (WMS, WFS, etc.) and the resources they provide (WMS layers, WFS objects, etc.) within the domain of flood protection.

  17. Geospatial datasets for watershed delineation and characterization used in the Hawaii StreamStats web application

    USGS Publications Warehouse

    Rea, Alan; Skinner, Kenneth D.

    2012-01-01

    The U.S. Geological Survey Hawaii StreamStats application uses an integrated suite of raster and vector geospatial datasets to delineate and characterize watersheds. The geospatial datasets used to delineate and characterize watersheds on the StreamStats website, and the methods used to develop the datasets are described in this report. The datasets for Hawaii were derived primarily from 10 meter resolution National Elevation Dataset (NED) elevation models, and the National Hydrography Dataset (NHD), using a set of procedures designed to enforce the drainage pattern from the NHD into the NED, resulting in an integrated suite of elevation-derived datasets. Additional sources of data used for computing basin characteristics include precipitation, land cover, soil permeability, and elevation-derivative datasets. The report also includes links for metadata and downloads of the geospatial datasets.

  18. Geospatial characteristics of Florida's coastal and offshore environments: Administrative and political boundaries and offshore sand resources

    USGS Publications Warehouse

    Demopoulos, Amanda W.J.; Foster, Ann M.; Jones, Michal L.; Gualtieri, Daniel J.

    2011-01-01

    The Geospatial Characteristics Geopdf of Florida's Coastal and Offshore Environments is a comprehensive collection of geospatial data describing the political and natural resources of Florida. This interactive map provides spatial information on bathymetry, sand resources, military areas, marine protected areas, cultural resources, locations of submerged cables, and shipping routes. The map should be useful to coastal resource managers and others interested in the administrative and political boundaries of Florida's coastal and offshore region. In particular, as oil and gas explorations continue to expand, the map may be used to explore information regarding sensitive areas and resources in the State of Florida. Users of this geospatial database will find that they have access to synthesized information in a variety of scientific disciplines concerning Florida's coastal zone. This powerful tool provides a one-stop assembly of data that can be tailored to fit the needs of many natural resource managers.

  19. Promising Practices in Building Geospatial Academic Pathways and Educator Capacity: Findings from a Multiyear Evaluation Study.

    NASA Astrophysics Data System (ADS)

    Peery, B.; Wilkerson, S.

    2015-12-01

    Geospatial technology, including geographical information systems, global positioning systems, remote sensing and the analysis and interpretation of spatial data, is a rapidly growing industry in the United States and touches almost every discipline from business to the environment to health and sciences. The demand for a larger and more qualified geospatial workforce is simultaneously increasing. The GeoTEd project aims to meet this demand in Virginia and the surrounding region by 1) developing academic-to-workforce pathways, 2) providing professional development for educators, and 3) increasing student participation and impact. Since 2009, Magnolia Consulting has been evaluating the GeoTEd project, particularly its professional development work through the GeoTEd Institute. This presentation will provide a look into the challenges and successes of GeoTEd, and examine its impact on the geospatial academic pathways in the Virginia region. The presentation will highlight promising elements of this project that could serve as models for other endeavors.

  20. Use of historical and geospatial data to guide the restoration of a Lake Erie coastal marsh

    USGS Publications Warehouse

    Kowalski, Kurt P.; Wilcox, Douglas A.

    1999-01-01

    Historical and geospatial data were used to identify the relationships between water levels, wetland vegetation, littoral drift of sediments, and the condition of a protective barrier beach at Metzger Marsh, a coastal wetland in western Lake Erie, to enhance and guide a joint federal and state wetland restoration project. Eleven sets of large-scale aerial photographs dating from 1940 through 1994 were interpreted to delineate major vegetation types and boundaries of the barrier beach. A geographic information system (GIS) was then used to digitize the data and calculate the vegetated area and length of barrier beach. Supplemented by paleoecological and sedimentological analyses, aerial photographic interpretation revealed that Metzger Marsh was once a drowned-river-mouth wetland dominated by sedges and protected by a sand barrier beach. Extremely high water levels, storm events, and reduction of sediments in the littoral drift contributed to the complete destruction of the barrier beach in 1973 and prevented its recovery. The extent of wetland vegetation, correlated to water levels and condition of the barrier beach, decreased from a high of 108 ha in 1940 to a low of 33 ha in 1994. The lack of an adequate sediment supply and low probability of a period of extremely low lake levels in the near future made natural reestablishment of the barrier beach and wetland vegetation unlikely. Therefore, the federal and state managers chose to construct a dike to replace the protective barrier beach. Recommendations stemming from this historical analysis, however, resulted in the incorporation of a water-control structure in the dike that will retain a hydrologic connection between wetland and lake. Management of the wetland will seek to mimic processes natural to the wetland type identified by this analysis.

  1. Geospatial Water Quality Analysis of Dilla Town, Gadeo Zone, Ethiopia - A Case Study

    NASA Astrophysics Data System (ADS)

    Pakhale, G. K.; Wakeyo, T. B.

    2015-12-01

    Dilla is a socio-economically important town in Ethiopia, established on the international highway joining capital cities of Ethiopia and Kenya. It serves as an administrative center of the Gedeo Zone in SNNPR region of Ethiopia accommodating around 65000 inhabitants and also as an important trade centre for coffee. Due to the recent developments and urbanization in town and surrounding area, waste and sewage discharge has been raised significantly into the water resources. Also frequent rainfall in the region worsens the problem of water quality. In this view, present study aims to analyze water quality profile of Dilla town using 12 physico-chemical parameters. 15 Sampling stations are identified amongst the open wells, bore wells and from surface water, which are being extensively used for drinking and other domestic purposes. Spectrophotometer is used to analyze data and Gaussian process regression is used to interpolate the same in GIS environment to represent spatial distribution of parameters. Based on observed and desirable values of parameters, water quality index (WQI); an indicator of weighted estimate of the quantities of various parameters ranging from 1 to 100, is developed in GIS. Higher value of WQI indicates better while low value indicates poor water quality. This geospatial analysis is carried out before and after rainfall to understand temporal variation with reference to rainfall which facilitates in identifying the potential zones of drinking water. WQI indicated that 8 out of 15 locations come under acceptable category indicating the suitability of water for human use, however remaining locations are unfit. For example: the water sample at main_campus_ustream_1 (site name) site has very low WQI after rainfall, making it unfit for human usage. This suggests undertaking of certain measures in town to enhance the water quality. These results are useful for town authorities to take corrective measures and ameliorate the water quality for human

  2. An Investigation of the Use of Real-Time, Authentic Geospatial Data in the K-12 Classroom

    ERIC Educational Resources Information Center

    Doering, Aaron; Veletsianos, George

    2007-01-01

    This article situates geospatial technologies as a constructivist tool in the K-12 classroom and examines student experiences with real-time authentic geospatial data provided through a hybrid adventure learning environment. Qualitative data from seven student focus groups demonstrate the effectiveness of using real-time authentic data, peer…

  3. Geospatial Modeling and Disease Insect Vector Management at the USDA-ARS Center for Medical, Agricultural, and Veterinary Entomology

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Geospatial modeling at the Center for Medical, Agricultural and Veterinary Entomology (CMAVE) is used assist in the surveillance of insect vectors and in the management of insect transmitted diseases. The most recent Geospatial Modeling/Technology Transfer success involves the prediction of Rift Val...

  4. Participating in the Geospatial Web: Collaborative Mapping, Social Networks and Participatory GIS

    NASA Astrophysics Data System (ADS)

    Rouse, L. Jesse; Bergeron, Susan J.; Harris, Trevor M.

    In 2005, Google, Microsoft and Yahoo! released free Web mapping applications that opened up digital mapping to mainstream Internet users. Importantly, these companies also released free APIs for their platforms, allowing users to geo-locate and map their own data. These initiatives have spurred the growth of the Geospatial Web and represent spatially aware online communities and new ways of enabling communities to share information from the bottom up. This chapter explores how the emerging Geospatial Web can meet some of the fundamental needs of Participatory GIS projects to incorporate local knowledge into GIS, as well as promote public access and collaborative mapping.

  5. Transportation of Large Wind Components: A Review of Existing Geospatial Data

    SciTech Connect

    Mooney, Meghan; Maclaurin, Galen

    2016-09-01

    This report features the geospatial data component of a larger project evaluating logistical and infrastructure requirements for transporting oversized and overweight (OSOW) wind components. The goal of the larger project was to assess the status and opportunities for improving the infrastructure and regulatory practices necessary to transport wind turbine towers, blades, and nacelles from current and potential manufacturing facilities to end-use markets. The purpose of this report is to summarize existing geospatial data on wind component transportation infrastructure and to provide a data gap analysis, identifying areas for further analysis and data collection.

  6. Student Focused Geospatial Curriculum Initiatives: Internships and Certificate Programs at NCCU

    NASA Astrophysics Data System (ADS)

    Vlahovic, G.; Malhotra, R.

    2009-12-01

    This paper reports recent efforts by the Department of Environmental, Earth and Geospatial Sciences faculty at North Carolina Central University (NCCU) to develop a leading geospatial sciences program that will be considered a model for other Historically Black College/University (HBCU) peers nationally. NCCU was established in 1909 and is the nation’s first state supported public liberal arts college funded for African Americans. In the most recent annual ranking of America’s best black colleges by the US News and World Report (Best Colleges 2010), NCCU was ranked 10th in the nation. As one of only two HBCUs in the southeast offering an undergraduate degree in Geography (McKee, J.O. and C. V. Dixon. Geography in Historically Black Colleges/ Universities in the Southeast, in The Role of the South in Making of American Geography: Centennial of the AAG, 2004), NCCU is uniquely positioned to positively affect talent and diversity of the geospatial discipline in the future. Therefore, successful creation of research and internship pathways for NCCU students has national implications because it will increase the number of minority students joining the workforce and applying to PhD programs. Several related efforts will be described, including research and internship projects with Fugro EarthData Inc., Center for Remote Sensing and Mapping Science at the University of Georgia, Center for Earthquake Research and Information at the University of Memphis and the City of Durham. The authors will also outline requirements and recent successes of ASPRS Provisional Certification Program, developed and pioneered as collaborative effort between ASPRS and NCCU. This certificate program allows graduating students majoring in geospatial technologies and allied fields to become provisionally certified by passing peer-review and taking the certification exam. At NCCU, projects and certification are conducted under the aegis of the Geospatial Research, Innovative Teaching and

  7. The use of geospatial web services for exchanging utilities data

    NASA Astrophysics Data System (ADS)

    Kuczyńska, Joanna

    2013-04-01

    Geographic information technologies and related geo-information systems currently play an important role in the management of public administration in Poland. One of these tasks is to maintain and update Geodetic Evidence of Public Utilities (GESUT), part of the National Geodetic and Cartographic Resource, which contains an important for many institutions information of technical infrastructure. It requires an active exchange of data between the Geodesy and Cartography Documentation Centers and institutions, which administrate transmission lines. The administrator of public utilities, is legally obliged to provide information about utilities to GESUT. The aim of the research work was to develop a universal data exchange methodology, which can be implemented on a variety of hardware and software platforms. This methodology use Unified Modeling Language (UML), eXtensible Markup Language (XML), and Geography Markup Language (GML). The proposed methodology is based on the two different strategies: Model Driven Architecture (MDA) and Service Oriented Architecture (SOA). Used solutions are consistent with the INSPIRE Directive and ISO 19100 series standards for geographic information. On the basis of analysis of the input data structures, conceptual models were built for both databases. Models were written in the universal modeling language: UML. Combined model that defines a common data structure was also built. This model was transformed into developed for the exchange of geographic information GML standard. The structure of the document describing the data that may be exchanged is defined in the .xsd file. Network services were selected and implemented in the system designed for data exchange based on open source tools. Methodology was implemented and tested. Data in the agreed data structure and metadata were set up on the server. Data access was provided by geospatial network services: data searching possibilities by Catalog Service for the Web (CSW), data

  8. GeoStreams: An online geospatial image database

    NASA Astrophysics Data System (ADS)

    Hart, Quinn James

    Data products generated from Remotely-Sensed Imagery (RSI) are used in many areas, such as climatology, environmental monitoring, land use issues, and disaster management. Processing RSI data can be costly and time consuming. For the researcher, data is typically fully replicated using file-based approaches which then undergo multiple processing steps, often duplicated at many sites. For the provider, data distribution is often tied directly to the data archiving task, focusing on simple, coarse grained offerings. Many RSI instruments transmit data in a continuous or semicontinuous stream, but current techniques in processing do not utilize the streaming nature of the imagery. Recent research on continuous querying of data streams offer alternative processing approaches. In such systems data arrives in multiple, continuous, and time-varying data streams and do not take the form of persistent relations. There is potential benefit in adopting Data Stream Management System (DSMS) techniques for geospatial RSI data, but these systems typically rely on traditional relational models as basis for query processing techniques and architectures. Complex types of stream objects, such as multidimensional data sets or raster image data have not been considered. The GeoStreams (GeoStreams) project investigates joining these two disciplines. The architecture allows users to formulate queries on continuous streams of RSI data. The outputs of these queries continuously return RSI data products to the user. These streams can be fed into applications to allow a continuous source of new input data from a single stream, or saved to more traditional RSI forms. As the functionality of the RSI DSMS increases, more aspects of the applications can be formulated as part of the queries themselves. An application focus dealing with real-time weather satellite imagery provides an important and relevant backdrop for the research. A data and query model for streaming imagery is described. New

  9. Preliminary Geospatial Analysis of Arctic Ocean Hydrocarbon Resources

    SciTech Connect

    Long, Philip E.; Wurstner, Signe K.; Sullivan, E. C.; Schaef, Herbert T.; Bradley, Donald J.

    2008-10-01

    Ice coverage of the Arctic Ocean is predicted to become thinner and to cover less area with time. The combination of more ice-free waters for exploration and navigation, along with increasing demand for hydrocarbons and improvements in technologies for the discovery and exploitation of new hydrocarbon resources have focused attention on the hydrocarbon potential of the Arctic Basin and its margins. The purpose of this document is to 1) summarize results of a review of published hydrocarbon resources in the Arctic, including both conventional oil and gas and methane hydrates and 2) develop a set of digital maps of the hydrocarbon potential of the Arctic Ocean. These maps can be combined with predictions of ice-free areas to enable estimates of the likely regions and sequence of hydrocarbon production development in the Arctic. In this report, conventional oil and gas resources are explicitly linked with potential gas hydrate resources. This has not been attempted previously and is particularly powerful as the likelihood of gas production from marine gas hydrates increases. Available or planned infrastructure, such as pipelines, combined with the geospatial distribution of hydrocarbons is a very strong determinant of the temporal-spatial development of Arctic hydrocarbon resources. Significant unknowns decrease the certainty of predictions for development of hydrocarbon resources. These include: 1) Areas in the Russian Arctic that are poorly mapped, 2) Disputed ownership: primarily the Lomonosov Ridge, 3) Lack of detailed information on gas hydrate distribution, and 4) Technical risk associated with the ability to extract methane gas from gas hydrates. Logistics may control areas of exploration more than hydrocarbon potential. Accessibility, established ownership, and leasing of exploration blocks may trump quality of source rock, reservoir, and size of target. With this in mind, the main areas that are likely to be explored first are the Bering Strait and Chukchi

  10. GeoCENS: Geospatial Cyberinfrastructure for Environment Sensing

    NASA Astrophysics Data System (ADS)

    Liang, S.; Johnson, E. A.; Valeo, C.; Pomeroy, J. W.; Geocens Development Team

    2010-12-01

    In recent years, large-scale sensor arrays and the vast data sets they produce world-wide are being utilized, shared and published by a rising number of researchers on an ever-increasing frequency. The increased amount of available data is being driven by sensor motes which are monitoring changes in everything from climate to water to biological species. With the rapidly increasing number of large-scale sensor network deployments, the vision of a World-Wide Sensor Web (WSW) is becoming a reality. Similar to the World-Wide Web (WWW), which acts essentially as a “World-Wide Computer”, the Sensor Web can be considered as a “World-Wide Sensor” or a “cyberinfrastructure” that instruments and monitors the physical world at temporal and spatial scales that are currently impossible. The Geospatial Cyberinfrastructure for Environment Sensing (GeoCENS) aims to build an interactive online social network-based platform where scientists can remotely access, share and control geographically dispersed environment sensors and datasets through international sensor web standards. GeoCENS is unique in that (1) GeoCENS is a social network sensor web platform; (2) GeoCENS is a standard-based sensor web platform. GeoCENS is developed based on the OGC sensor web standards (i.e., OGC SWE); and (3) GeoCENS is an intuitive and high performance 3D sensor web browser that combines multiple sensor data sources and geographical datasets, and render them in a coherent and unified virtual globe environment. In this presentation, we will present GeoCENS. We will firstly introduce the three motivating technologies, namely Web 2.0, Wireless Sensor Networks, and Cyberinfrastructure. Then a detailed architecture of GeoCENS will be explained. Challenges in building such large-scale sensor web system will be presented. The challenges at least include three different levels, i.e., technical, semantic, and institutional challenges. We will demonstrate the GeoCENS prototype system. And finally

  11. OpenSearch technology for geospatial resources discovery

    NASA Astrophysics Data System (ADS)

    Papeschi, Fabrizio; Enrico, Boldrini; Mazzetti, Paolo

    2010-05-01

    In 2005, the term Web 2.0 has been coined by Tim O'Reilly to describe a quickly growing set of Web-based applications that share a common philosophy of "mutually maximizing collective intelligence and added value for each participant by formalized and dynamic information sharing". Around this same period, OpenSearch a new Web 2.0 technology, was developed. More properly, OpenSearch is a collection of technologies that allow publishing of search results in a format suitable for syndication and aggregation. It is a way for websites and search engines to publish search results in a standard and accessible format. Due to its strong impact on the way the Web is perceived by users and also due its relevance for businesses, Web 2.0 has attracted the attention of both mass media and the scientific community. This explosive growth in popularity of Web 2.0 technologies like OpenSearch, and practical applications of Service Oriented Architecture (SOA) resulted in an increased interest in similarities, convergence, and a potential synergy of these two concepts. SOA is considered as the philosophy of encapsulating application logic in services with a uniformly defined interface and making these publicly available via discovery mechanisms. Service consumers may then retrieve these services, compose and use them according to their current needs. A great degree of similarity between SOA and Web 2.0 may be leading to a convergence between the two paradigms. They also expose divergent elements, such as the Web 2.0 support to the human interaction in opposition to the typical SOA machine-to-machine interaction. According to these considerations, the Geospatial Information (GI) domain, is also moving first steps towards a new approach of data publishing and discovering, in particular taking advantage of the OpenSearch technology. A specific GI niche is represented by the OGC Catalog Service for Web (CSW) that is part of the OGC Web Services (OWS) specifications suite, which provides a

  12. Implementing a High School Level Geospatial Technologies and Spatial Thinking Course

    ERIC Educational Resources Information Center

    Nielsen, Curtis P.; Oberle, Alex; Sugumaran, Ramanathan

    2011-01-01

    Understanding geospatial technologies (GSTs) and spatial thinking is increasingly vital to contemporary life including common activities and hobbies; learning in science, mathematics, and social science; and employment within fields as diverse as engineering, health, business, and planning. As such, there is a need for a stand-alone K-12…

  13. Impact of Robotics and Geospatial Technology Interventions on Youth STEM Learning and Attitudes

    ERIC Educational Resources Information Center

    Nugent, Gwen; Barker, Bradley; Grandgenett, Neal; Adamchuk, Viacheslav I.

    2010-01-01

    This study examined the impact of robotics and geospatial technologies interventions on middle school youth's learning of and attitudes toward science, technology, engineering, and mathematics (STEM). Two interventions were tested. The first was a 40-hour intensive robotics/GPS/GIS summer camp; the second was a 3-hour event modeled on the camp…

  14. Geospatial Database for Strata Objects Based on Land Administration Domain Model (ladm)

    NASA Astrophysics Data System (ADS)

    Nasorudin, N. N.; Hassan, M. I.; Zulkifli, N. A.; Rahman, A. Abdul

    2016-09-01

    Recently in our country, the construction of buildings become more complex and it seems that strata objects database becomes more important in registering the real world as people now own and use multilevel of spaces. Furthermore, strata title was increasingly important and need to be well-managed. LADM is a standard model for land administration and it allows integrated 2D and 3D representation of spatial units. LADM also known as ISO 19152. The aim of this paper is to develop a strata objects database using LADM. This paper discusses the current 2D geospatial database and needs for 3D geospatial database in future. This paper also attempts to develop a strata objects database using a standard data model (LADM) and to analyze the developed strata objects database using LADM data model. The current cadastre system in Malaysia includes the strata title is discussed in this paper. The problems in the 2D geospatial database were listed and the needs for 3D geospatial database in future also is discussed. The processes to design a strata objects database are conceptual, logical and physical database design. The strata objects database will allow us to find the information on both non-spatial and spatial strata title information thus shows the location of the strata unit. This development of strata objects database may help to handle the strata title and information.

  15. A Geospatial Statistical Analysis of the Density of Lottery Outlets within Ethnically Concentrated Neighborhoods

    ERIC Educational Resources Information Center

    Wiggins, Lyna; Nower, Lia; Mayers, Raymond Sanchez; Peterson, N. Andrew

    2010-01-01

    This study examines the density of lottery outlets within ethnically concentrated neighborhoods in Middlesex County, New Jersey, using geospatial statistical analyses. No prior studies have empirically examined the relationship between lottery outlet density and population demographics. Results indicate that lottery outlets were not randomly…

  16. Mapping Educational Opportunity Zones: A Geospatial Analysis of Neighborhood Block Groups

    ERIC Educational Resources Information Center

    Miller, Peter M.

    2012-01-01

    The author uses geospatial analysis to examine the "educational opportunity spaces" of two adjacent urban neighborhoods in Pittsburgh, Pennsylvania. Organizing insights are gathered from Bronfenbrenner's (1979) ecological perspectives on human development, which posit that students are significantly impacted by multiple environmental…

  17. A robust and flexible Geospatial Modeling Interface (GMI) for deploying and evaluating natural resource models

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Geographical information systems (GIS) software packages have been used for nearly three decades as analytical tools in natural resource management for geospatial data assembly, processing, storage, and visualization of input data and model output. However, with increasing availability and use of fu...

  18. A robust and flexible Geospatial Modeling Interface (GMI) for environmental model deployment and evaluation

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This paper provides an overview of the GMI (Geospatial Modeling Interface) simulation framework for environmental model deployment and assessment. GMI currently provides access to multiple environmental models including AgroEcoSystem-Watershed (AgES-W), Nitrate Leaching and Economic Analysis 2 (NLEA...

  19. RETIGO: A web-based tool for geospatial time series visualization

    EPA Science Inventory

    This abstract is for a poster to be presented at the upcoming Air Sensors workshop in Research Triangle Park, NC on March 19-20. The poster will describe a geospatial data viewing tool that would be of interest to the audience.

  20. Center of Excellence for Geospatial Information Science research plan 2013-18

    USGS Publications Warehouse

    Usery, E. Lynn

    2013-01-01

    The U.S. Geological Survey Center of Excellence for Geospatial Information Science (CEGIS) was created in 2006 and since that time has provided research primarily in support of The National Map. The presentations and publications of the CEGIS researchers document the research accomplishments that include advances in electronic topographic map design, generalization, data integration, map projections, sea level rise modeling, geospatial semantics, ontology, user-centered design, volunteer geographic information, and parallel and grid computing for geospatial data from The National Map. A research plan spanning 2013–18 has been developed extending the accomplishments of the CEGIS researchers and documenting new research areas that are anticipated to support The National Map of the future. In addition to extending the 2006–12 research areas, the CEGIS research plan for 2013–18 includes new research areas in data models, geospatial semantics, high-performance computing, volunteered geographic information, crowdsourcing, social media, data integration, and multiscale representations to support the Three-Dimensional Elevation Program (3DEP) and The National Map of the future of the U.S. Geological Survey.

  1. Decision Performance Using Spatial Decision Support Systems: A Geospatial Reasoning Ability Perspective

    ERIC Educational Resources Information Center

    Erskine, Michael A.

    2013-01-01

    As many consumer and business decision makers are utilizing Spatial Decision Support Systems (SDSS), a thorough understanding of how such decisions are made is crucial for the information systems domain. This dissertation presents six chapters encompassing a comprehensive analysis of the impact of geospatial reasoning ability on…

  2. ADDING GLOBAL SOILS DATA TO THE AUTOMATED GEOSPATIAL WATERSHED ASSESSMENT TOOL (AGWA)

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment Tool (AGWA) is a GIS-based hydrologic modeling tool that is available as an extension for ArcView 3.x from the USDA-ARS Southwest Watershed Research Center (www.tucson.ars.ag.gov/agwa). AGWA is designed to facilitate the assessment of...

  3. Development of a Web-Enabled Learning Platform for Geospatial Laboratories: Improving the Undergraduate Learning Experience

    ERIC Educational Resources Information Center

    Mui, Amy B.; Nelson, Sarah; Huang, Bruce; He, Yuhong; Wilson, Kathi

    2015-01-01

    This paper describes a web-enabled learning platform providing remote access to geospatial software that extends the learning experience outside of the laboratory setting. The platform was piloted in two undergraduate courses, and includes a software server, a data server, and remote student users. The platform was designed to improve the quality…

  4. Developing Energy Literacy in US Middle-Level Students Using the Geospatial Curriculum Approach

    NASA Astrophysics Data System (ADS)

    Bodzin, Alec M.; Fu, Qiong; Peffer, Tamara E.; Kulo, Violet

    2013-06-01

    This quantitative study examined the effectiveness of a geospatial curriculum approach to promote energy literacy in an urban school district and examined factors that may account for energy content knowledge achievement. An energy literacy measure was administered to 1,044 eighth-grade students (ages 13-15) in an urban school district in Pennsylvania, USA. One group of students received instruction with a geospatial curriculum approach (geospatial technologies (GT)) and another group of students received 'business as usual' (BAU) curriculum instruction. For the GT students, findings revealed statistically significant gains from pretest to posttest (p < 0.001) on knowledge of energy resource acquisition, energy generation, storage and transport, and energy consumption and conservation. The GT students had year-end energy content knowledge scores significantly higher than those who learned with the BAU curriculum (p < 0.001; effect size being large). A multiple regression found that prior energy content knowledge was the only significant predictor to the year-end energy content knowledge achievement for the GT students (p < 0.001). The findings support that the implementation of a geospatial curriculum approach that employs learning activities that focus on the spatial nature of energy resources can improve the energy literacy of urban middle-level education students.

  5. A "Neogeographical Education"? The Geospatial Web, GIS and Digital Art in Adult Education

    ERIC Educational Resources Information Center

    Papadimitriou, Fivos

    2010-01-01

    Neogeography provides a link between the science of geography and digital art. The carriers of this link are geospatial technologies (global navigational satellite systems such as the global positioning system, Geographical Information System [GIS] and satellite imagery) along with ubiquitous information and communication technologies (such as…

  6. GeoSearcher: GeoSpatial Ranking of Search Engine Results.

    ERIC Educational Resources Information Center

    Watters, Carolyn; Amoudi, Ghada

    2002-01-01

    Discusses search engines and describes a prototype system that provides dynamic ranking of search engine results for geospatial queries based on the URL of the host site. Evaluates this approach using user queries and random Web pages, making a contribution to Web retrieval by providing an alternative ranking order for search engine results.…

  7. Using Geo-Spatial Technologies for Field Applications in Higher Geography Education

    ERIC Educational Resources Information Center

    Karatepe, Akif

    2012-01-01

    Today's important geo-spatial technologies, GIS (Geographic Information Systems), GPS (Global Positioning Systems) and Google Earth have been widely used in geography education. Transferring spatially oriented data taken by GPS to the GIS and Google Earth has provided great benefits in terms of showing the usage of spatial technologies for field…

  8. Spatial Thinking Assists Geographic Thinking: Evidence from a Study Exploring the Effects of Geospatial Technology

    ERIC Educational Resources Information Center

    Metoyer, Sandra; Bednarz, Robert

    2017-01-01

    This article provides a description and discussion of an exploratory research study that examined the effects of using geospatial technology (GST) on high school students' spatial skills and spatial-relations content knowledge. It presents results that support the use of GST to teach spatially dependent content. It also provides indication of an…

  9. Distributed Storage Algorithm for Geospatial Image Data Based on Data Access Patterns.

    PubMed

    Pan, Shaoming; Li, Yongkai; Xu, Zhengquan; Chong, Yanwen

    2015-01-01

    Declustering techniques are widely used in distributed environments to reduce query response time through parallel I/O by splitting large files into several small blocks and then distributing those blocks among multiple storage nodes. Unfortunately, however, many small geospatial image data files cannot be further split for distributed storage. In this paper, we propose a complete theoretical system for the distributed storage of small geospatial image data files based on mining the access patterns of geospatial image data using their historical access log information. First, an algorithm is developed to construct an access correlation matrix based on the analysis of the log information, which reveals the patterns of access to the geospatial image data. Then, a practical heuristic algorithm is developed to determine a reasonable solution based on the access correlation matrix. Finally, a number of comparative experiments are presented, demonstrating that our algorithm displays a higher total parallel access probability than those of other algorithms by approximately 10-15% and that the performance can be further improved by more than 20% by simultaneously applying a copy storage strategy. These experiments show that the algorithm can be applied in distributed environments to help realize parallel I/O and thereby improve system performance.

  10. A High-performance Service-Oriented Geospatial Cyberinfrastructure for Rapid Disaster Response and Decision Making

    NASA Astrophysics Data System (ADS)

    Li, W.; Ren, Y.

    2013-12-01

    High population growth, urbanization and global climate change have resulted in more frequent occurrences of disasters, affecting people's life and property safety all over the world. Worse than the disaster it is the vulnerability of existing disaster management systems that are failed to realize timely collection of disaster-related data, estimation of damage, evacuation planning, resource scheduling and to make other decisions in the disastrous situation. The emerging geospatial cyberinfrastructure (GCI) provides a promising solution to address these issues. This paper reports our efforts in establishing a high-performance cyberinfrastructure for rapid disaster response and decision-making. This GCI is built upon a service-oriented architecture, with improved performance supported by a distributed computing cluster for efficient data transmission and rendering. Different from most works in literature in improving the client-side performance of geospatial web services, this cluster solves the fundamental performance issue on the server side. A web portal is also developed to integrate the real-time geospatial web services reporting disaster related information for integral analysis and collaborative decision-making. We expect this work to contribute to effective disaster management and geospatial interoperability.

  11. INTERIM EPA GUIDANCE FOR GEOSPATIAL-RELATED QUALITY ASSURANCE PROJECT PLANS

    EPA Science Inventory

    This guidance supplements EPA Guidance for Quality,Assurance Project Plans (EPA QA/G-5), in that the focus here is on collection and use of geospatial rather than other environmental data (e.g., strictly chemical or biological data), including unique aspects of data storage, retr...

  12. National Stream Quality Accounting Network and National Monitoring Network Basin Boundary Geospatial Dataset, 2008–13

    USGS Publications Warehouse

    Baker, Nancy T.

    2011-01-01

    This report and the accompanying geospatial data were created to assist in analysis and interpretation of water-quality data provided by the U.S. Geological Survey's National Stream Quality Accounting Network (NASQAN) and by the U.S. Coastal Waters and Tributaries National Monitoring Network (NMN), which is a cooperative monitoring program of Federal, regional, and State agencies. The report describes the methods used to develop the geospatial data, which was primarily derived from the National Watershed Boundary Dataset. The geospatial data contains polygon shapefiles of basin boundaries for 33 NASQAN and 5 NMN streamflow and water-quality monitoring stations. In addition, 30 polygon shapefiles of the closed and noncontributing basins contained within the NASQAN or NMN boundaries are included. Also included is a point shapefile of the NASQAN and NMN monitoring stations and associated basin and station attributes. Geospatial data for basin delineations, associated closed and noncontributing basins, and monitoring station locations are available at http://water.usgs.gov/GIS/metadata/usgswrd/XML/ds641_nasqan_wbd12.xml.

  13. AUTOMATED GEOSPATIAL WATERSHED ASSESSMENT (AGWA): A GIS-BASED TOOL FOR WATERSHED ASSESSMENT AND PLANNING

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment tool (AGWA) is a GIS interface jointly developed by the USDA Agricultural Research Service, the U.S. Environmental Protection Agency, the University of Arizona, and the University of Wyoming to automate the parameterization and execu...

  14. The geospatial modeling interface (GMI) framework for deploying and assessing environmental models

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Geographical information systems (GIS) software packages have been used for close to three decades as analytical tools in environmental management for geospatial data assembly, processing, storage, and visualization of input data and model output. However, with increasing availability and use of ful...

  15. Archiving and Distributing Three Long-Term Interconnected Geospatial Data Sets

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Repeat remote sensing field campaigns at experimental sites result in a valuable set of remote sensing data resources, geographic information systems (GIS) data sets, digitized maps, and tabular data that are tied to specific locations. Archiving and distributing these geospatial data generally bec...

  16. Tiered Internship Model for Undergraduate Students in Geospatial Science and Technology

    ERIC Educational Resources Information Center

    Kopteva, Irina A.; Arkowski, Donna; Craft, Elaine L.

    2015-01-01

    This article discusses the development, implementation, and evaluation of a tiered internship program for undergraduate students in geospatial science and technology (TIMSGeoTech). The internship program assists education programs in providing skill development that is relevant and useful, and it aligns graduates and their skills with industry…

  17. Integrating Geospatial Technologies, Action Research, and Curriculum Theory to Promote Ecological Literacy

    ERIC Educational Resources Information Center

    Agnello, Mary Frances; Carpenter, Penny

    2010-01-01

    Purpose: The purpose of this paper is to examine and report on the impact of integrating geospatial technology and ecological literacy into an educational leadership Master's class block comprised of action research and curriculum theory. Design/methodology/approach: Action and teacher research informed by environmental issues framed an action…

  18. The Effectiveness of the Geospatial Curriculum Approach on Urban Middle-Level Students' Climate Change Understandings

    NASA Astrophysics Data System (ADS)

    Bodzin, Alec M.; Fu, Qiong

    2014-08-01

    Climate change science is a challenging topic for student learning. This quantitative study examined the effectiveness of a geospatial curriculum approach to promote climate change science understandings in an urban school district with eighth-grade students and investigated whether teacher- and student-level factors accounted for students' climate change knowledge achievement. The participants included 12 science teachers and 956 eighth-grade students. Data included a pre- and posttest climate change assessment measures for both teachers and students and a teacher measure of Geospatial Science-Technological Pedagogical Content Knowledge. Paired-sample t tests revealed statistically significant gains from pretest to posttest on their climate change knowledge ( p < .001; effect sizes being large on multiple-choice items and medium on the open-ended response assessment). Both ordinary least squares (OLS) multiple regression and 2-level hierarchical linear modeling found that students' initial climate change knowledge and gender were significant predictors for students' posttest scores, p < .05. Students' pretest scores were the strongest significant predictor of the posttest scores, p < .001. Neither the teachers' climate change knowledge nor their Geospatial Science-Technological Pedagogical Content Knowledge had significant association with the students' posttest scores. Teaching years was a significant predictor for students' posttest scores in OLS regression ( p < .001). The findings provide support that a geospatial curriculum approach is an effective science curriculum approach for learners in urban middle-level education.

  19. Automated Geospatial Watershed Assessment Tool (AGWA): Applications for Fire Management and Assessment.

    EPA Science Inventory

    New tools and functionality have been incorporated into the Automated Geospatial Watershed Assessment Tool (AGWA) to assess the impacts of wildland fire on runoff and erosion. AGWA (see: www.tucson.ars.ag.gov/agwa or http://www.epa.gov/esd/land-sci/agwa/) is a GIS interface joi...

  20. 78 FR 40764 - Call for Nominations to the National Geospatial Advisory Committee

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-08

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF THE INTERIOR Geological Survey Call for Nominations to the National Geospatial Advisory Committee AGENCY: U.S. Geological Survey, Interior. ACTION: Call for Nominations. SUMMARY: The Department of the Interior is...

  1. 77 FR 32978 - Call for Nominations to the National Geospatial Advisory Committee

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-04

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF THE INTERIOR U.S. Geological Survey Call for Nominations to the National Geospatial Advisory Committee AGENCY: U.S. Geological Survey, Interior. ACTION: Call for Nominations. SUMMARY: The Department of the Interior is...

  2. EnviroAtlas: A New Geospatial Tool to Foster Ecosystem Services Science and Resource Management

    EPA Science Inventory

    In this article we present EnviroAtlas, a web-based, open access tool that seeks to meet a range of needs by bringing together environmental, economic and demographic data in an ecosystem services framework. Within EnviroAtlas, there are three primary types of geospatial data: r...

  3. Global Fiducials Program Imagery: New Opportunities for Geospatial Research, Outreach, and Education

    NASA Astrophysics Data System (ADS)

    Price, S. D.

    2012-12-01

    MOLNIA, Bruce F., PRICE, Susan D. and, KING, Stephen E., U.S. Geological Survey (USGS), 562 National Center, Reston, VA 20192, sprice@usgs.gov The Civil Applications Committee (CAC), operated by the U.S. Geological Survey (USGS), is the Federal interagency committee that facilitates Federal civil agency access to U.S. National Systems space-based electro-optical (EO) imagery for natural disaster response; global change investigations; ecosystem monitoring; mapping, charting, and geodesy; and related topics. The CAC's Global Fiducials Program (GFP) has overseen the systematic collection of high-resolution imagery to provide geospatial data time series spanning a decade or more at carefully selected sites to study and monitor changes, and to facilitate a comprehensive understanding of dynamic and sensitive areas of our planet. Since 2008, more than 4,500 one-meter resolution EO images which comprise time series from 85 GFP sites have been released for unrestricted public use. Initial site selections were made by Federal and academic scientists based on each site's unique history, susceptibility, or environmental value. For each site, collection strategies were carefully defined to maximize information extraction capabilities. This consistency enhances our ability to understand Earth's dynamic processes and long-term trends. Individual time series focus on Arctic sea ice change; temperate glacier behavior; mid-continent wetland dynamics; barrier island response to hurricanes; coastline evolution; wildland fire recovery; Long-Term Ecological Resource (LTER) site processes; and many other topics. The images are available from a USGS website at no cost, in an orthorectified GeoTIFF format with supporting metadata, making them ideal for use in Earth science education and GIS projects. New on-line tools provide enhanced analysis of these time-series imagery. For additional information go to http://gfp.usgs.gov or http://gfl.usgs.gov.Bering Glacier is the largest and

  4. Two Contrasting Approaches to Building High School Teacher Capacity to Teach About Local Climate Change Using Powerful Geospatial Data and Visualization Technology

    NASA Astrophysics Data System (ADS)

    Zalles, D. R.

    2011-12-01

    The presentation will compare and contrast two different place-based approaches to helping high school science teachers use geospatial data visualization technology to teach about climate change in their local regions. The approaches are being used in the development, piloting, and dissemination of two projects for high school science led by the author: the NASA-funded Data-enhanced Investigations for Climate Change Education (DICCE) and the NSF funded Studying Topography, Orographic Rainfall, and Ecosystems with Geospatial Information Technology (STORE). DICCE is bringing an extensive portal of Earth observation data, the Goddard Interactive Online Visualization and Analysis Infrastructure, to high school classrooms. STORE is making available data for viewing results of a particular IPCC-sanctioned climate change model in relation to recent data about average temperatures, precipitation, and land cover for study areas in central California and western New York State. Across the two projects, partner teachers of academically and ethnically diverse students from five states are participating in professional development and pilot testing. Powerful geospatial data representation technologies are difficult to implement in high school science because of challenges that teachers and students encounter navigating data access and making sense of data characteristics and nomenclature. Hence, on DICCE, the researchers are testing the theory that by providing a scaffolded technology-supported process for instructional design, starting from fundamental questions about the content domain, teachers will make better instructional decisions. Conversely, the STORE approach is rooted in the perspective that co-design of curricular materials among researchers and teacher partners that work off of "starter" lessons covering focal skills and understandings will lead to the most effective utilizations of the technology in the classroom. The projects' goals and strategies for student

  5. GeoSearch: A lightweight broking middleware for geospatial resources discovery

    NASA Astrophysics Data System (ADS)

    Gui, Z.; Yang, C.; Liu, K.; Xia, J.

    2012-12-01

    With petabytes of geodata, thousands of geospatial web services available over the Internet, it is critical to support geoscience research and applications by finding the best-fit geospatial resources from the massive and heterogeneous resources. Past decades' developments witnessed the operation of many service components to facilitate geospatial resource management and discovery. However, efficient and accurate geospatial resource discovery is still a big challenge due to the following reasons: 1)The entry barriers (also called "learning curves") hinder the usability of discovery services to end users. Different portals and catalogues always adopt various access protocols, metadata formats and GUI styles to organize, present and publish metadata. It is hard for end users to learn all these technical details and differences. 2)The cost for federating heterogeneous services is high. To provide sufficient resources and facilitate data discovery, many registries adopt periodic harvesting mechanism to retrieve metadata from other federated catalogues. These time-consuming processes lead to network and storage burdens, data redundancy, and also the overhead of maintaining data consistency. 3)The heterogeneous semantics issues in data discovery. Since the keyword matching is still the primary search method in many operational discovery services, the search accuracy (precision and recall) is hard to guarantee. Semantic technologies (such as semantic reasoning and similarity evaluation) offer a solution to solve these issues. However, integrating semantic technologies with existing service is challenging due to the expandability limitations on the service frameworks and metadata templates. 4)The capabilities to help users make final selection are inadequate. Most of the existing search portals lack intuitive and diverse information visualization methods and functions (sort, filter) to present, explore and analyze search results. Furthermore, the presentation of the value

  6. Geospatial Data Stream Processing in Python Using FOSS4G Components

    NASA Astrophysics Data System (ADS)

    McFerren, G.; van Zyl, T.

    2016-06-01

    One viewpoint of current and future IT systems holds that there is an increase in the scale and velocity at which data are acquired and analysed from heterogeneous, dynamic sources. In the earth observation and geoinformatics domains, this process is driven by the increase in number and types of devices that report location and the proliferation of assorted sensors, from satellite constellations to oceanic buoy arrays. Much of these data will be encountered as self-contained messages on data streams - continuous, infinite flows of data. Spatial analytics over data streams concerns the search for spatial and spatio-temporal relationships within and amongst data "on the move". In spatial databases, queries can assess a store of data to unpack spatial relationships; this is not the case on streams, where spatial relationships need to be established with the incomplete data available. Methods for spatially-based indexing, filtering, joining and transforming of streaming data need to be established and implemented in software components. This article describes the usage patterns and performance metrics of a number of well known FOSS4G Python software libraries within the data stream processing paradigm. In particular, we consider the RTree library for spatial indexing, the Shapely library for geometric processing and transformation and the PyProj library for projection and geodesic calculations over streams of geospatial data. We introduce a message oriented Python-based geospatial data streaming framework called Swordfish, which provides data stream processing primitives, functions, transports and a common data model for describing messages, based on the Open Geospatial Consortium Observations and Measurements (O&M) and Unidata Common Data Model (CDM) standards. We illustrate how the geospatial software components are integrated with the Swordfish framework. Furthermore, we describe the tight temporal constraints under which geospatial functionality can be invoked when

  7. Free and Open Source Software for Geospatial in the field of planetary science

    NASA Astrophysics Data System (ADS)

    Frigeri, A.

    2012-12-01

    Information technology applied to geospatial analyses has spread quickly in the last ten years. The availability of OpenData and data from collaborative mapping projects increased the interest on tools, procedures and methods to handle spatially-related information. Free Open Source Software projects devoted to geospatial data handling are gaining a good success as the use of interoperable formats and protocols allow the user to choose what pipeline of tools and libraries is needed to solve a particular task, adapting the software scene to his specific problem. In particular, the Free Open Source model of development mimics the scientific method very well, and researchers should be naturally encouraged to take part to the development process of these software projects, as this represent a very agile way to interact among several institutions. When it comes to planetary sciences, geospatial Free Open Source Software is gaining a key role in projects that commonly involve different subjects in an international scenario. Very popular software suites for processing scientific mission data (for example, ISIS) and for navigation/planning (SPICE) are being distributed along with the source code and the interaction between user and developer is often very strict, creating a continuum between these two figures. A very widely spread library for handling geospatial data (GDAL) has started to support planetary data from the Planetary Data System, and recent contributions enabled the support to other popular data formats used in planetary science, as the Vicar one. The use of Geographic Information System in planetary science is now diffused, and Free Open Source GIS, open GIS formats and network protocols allow to extend existing tools and methods developed to solve Earth based problems, also to the case of the study of solar system bodies. A day in the working life of a researcher using Free Open Source Software for geospatial will be presented, as well as benefits and

  8. Software for Studying and Enhancing Educational Uses of Geospatial Semantics and Data

    ERIC Educational Resources Information Center

    Nodenot, Thierry; Sallaberry, Christian; Gaio, Mauro

    2010-01-01

    Geographically related queries form nearly one-fifth of all queries submitted to the Excite search engine and the most frequently occurring terms are names of places. This paper focuses on digital libraries and extends the basic services of existing library management systems to include new ones that are dedicated to geographic information…

  9. Sociocultural-Geospatial Anthropological Portal (SC-GAP): Enhancing Sociocultural Understanding Through Crowdsourced Service Member Narratives

    DTIC Science & Technology

    2015-06-01

    AND ADDRESS(ES) Naval Postgraduate School Monterey, CA 93943-5000 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING /MONITORING AGENCY...Structures, Capabilities, Organizations, People, and Events CA Civil Affairs COCOM Combatant Command CSV Comma Separated Value DA Department...Task Force, Strategic Landpower: Winning the Clash of Wills, ed. Raymond T. Odierno, James F. Amos and William H. McRaven (Washington, DC

  10. Using Geospatial Information Technologies and Field Research to Enhance Classroom Learning

    ERIC Educational Resources Information Center

    Schacht, Walter H.; Guru, Ashu; Reece, Patrick E.; Volesky, Jerry D.; Cotton, Dan

    2005-01-01

    A focus of grazing management courses is the cause-effect relationships between grazing livestock distribution and environmental and management variables. A learning module for the classroom was developed to enable students to actively study livestock distribution by analyzing recently collected data from an on-ranch situation. Data were collected…

  11. Toward Open Science at the European Scale: Geospatial Semantic Array Programming for Integrated Environmental Modelling

    NASA Astrophysics Data System (ADS)

    de Rigo, Daniele; Corti, Paolo; Caudullo, Giovanni; McInerney, Daniel; Di Leo, Margherita; San-Miguel-Ayanz, Jesús

    2013-04-01

    Interfacing science and policy raises challenging issues when large spatial-scale (regional, continental, global) environmental problems need transdisciplinary integration within a context of modelling complexity and multiple sources of uncertainty [1]. This is characteristic of science-based support for environmental policy at European scale [1], and key aspects have also long been investigated by European Commission transnational research [2-5]. Parameters ofthe neededdata- transformations ? = {?1????m} (a.5) Wide-scale transdisciplinary modelling for environment. Approaches (either of computational science or of policy-making) suitable at a given domain-specific scale may not be appropriate for wide-scale transdisciplinary modelling for environment (WSTMe) and corresponding policy-making [6-10]. In WSTMe, the characteristic heterogeneity of available spatial information (a) and complexity of the required data-transformation modelling (D- TM) appeal for a paradigm shift in how computational science supports such peculiarly extensive integration processes. In particular, emerging wide-scale integration requirements of typical currently available domain-specific modelling strategies may include increased robustness and scalability along with enhanced transparency and reproducibility [11-15]. This challenging shift toward open data [16] and reproducible research [11] (open science) is also strongly suggested by the potential - sometimes neglected - huge impact of cascading effects of errors [1,14,17-19] within the impressively growing interconnection among domain-specific computational models and frameworks. From a computational science perspective, transdisciplinary approaches to integrated natural resources modelling and management (INRMM) [20] can exploit advanced geospatial modelling techniques with an awesome battery of free scientific software [21,22] for generating new information and knowledge from the plethora of composite data [23-26]. From the perspective

  12. Cloud Computing for Geosciences--GeoCloud for standardized geospatial service platforms (Invited)

    NASA Astrophysics Data System (ADS)

    Nebert, D. D.; Huang, Q.; Yang, C.

    2013-12-01

    The 21st century geoscience faces challenges of Big Data, spike computing requirements (e.g., when natural disaster happens), and sharing resources through cyberinfrastructure across different organizations (Yang et al., 2011). With flexibility and cost-efficiency of computing resources a primary concern, cloud computing emerges as a promising solution to provide core capabilities to address these challenges. Many governmental and federal agencies are adopting cloud technologies to cut costs and to make federal IT operations more efficient (Huang et al., 2010). However, it is still difficult for geoscientists to take advantage of the benefits of cloud computing to facilitate the scientific research and discoveries. This presentation reports using GeoCloud to illustrate the process and strategies used in building a common platform for geoscience communities to enable the sharing, integration of geospatial data, information and knowledge across different domains. GeoCloud is an annual incubator project coordinated by the Federal Geographic Data Committee (FGDC) in collaboration with the U.S. General Services Administration (GSA) and the Department of Health and Human Services. It is designed as a staging environment to test and document the deployment of a common GeoCloud community platform that can be implemented by multiple agencies. With these standardized virtual geospatial servers, a variety of government geospatial applications can be quickly migrated to the cloud. In order to achieve this objective, multiple projects are nominated each year by federal agencies as existing public-facing geospatial data services. From the initial candidate projects, a set of common operating system and software requirements was identified as the baseline for platform as a service (PaaS) packages. Based on these developed common platform packages, each project deploys and monitors its web application, develops best practices, and documents cost and performance information. This

  13. Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information about Risks of Geospatial Data

    NASA Astrophysics Data System (ADS)

    Grira, J.; Bédard, Y.; Roche, S.; Devillers, R.

    2013-05-01

    The aim of this research is to design and implement a knowledge discovery system that facilitates, using a web 2.0 collaborative approach, the identification of new risks of geospatial data misuse based on a contributed knowledge repository fed by application domain experts. [Context/Motivation] This research is motivated by the irregularity of risk analysis efforts and the poor semantic of the collected information about risks. In the context of risk analysis during geospatial database design, the knowledge about risks of geospatial data misuse is typically held by domain application experts. The collection and record of that knowledge are usually considered as optional activities. It is usually performed through face-to-face risk assessment meetings and reports. Such techniques end up by restricting the scope of risk analysis to a set of obvious risks usually already identified. Besides, little consideration is devoted to the storage of risk information in an appropriate format for automatic reasoning and new risk information discovery. As a consequence, many foreseeable risky aspects inherent to the data remain overlooked leading to ill-defined specification and faulty decisions. [Principal ideas/results] In this paper, we present a contributed knowledge discovery system that aims at enriching the semantic information about risks of geospatial data misuse in order to identify foreseeable risks. The proposed web-based system relies on a systematic and more active involvement of users in risk analysis. The approach consists of 1) providing an overview of the related work in the domains of risk analysis within the context of geospatial database design, 2) presenting an ontology-based knowledge discovery system that helps experts in risks identification based on an upper-level risk ontology and on a structured representation of the domain-specific knowledge and, 3) presenting the components of the proposed system architecture and how it may be implemented and used

  14. Geospatial Technology and Geosciences - Defining the skills and competencies in the geosciences needed to effectively use the technology (Invited)

    NASA Astrophysics Data System (ADS)

    Johnson, A.

    2010-12-01

    Maps, spatial and temporal data and their use in analysis and visualization are integral components for studies in the geosciences. With the emergence of geospatial technology (Geographic Information Systems (GIS), remote sensing and imagery, Global Positioning Systems (GPS) and mobile technologies) scientists and the geosciences user community are now able to more easily accessed and share data, analyze their data and present their results. Educators are also incorporating geospatial technology into their geosciences programs by including an awareness of the technology in introductory courses to advanced courses exploring the capabilities to help answer complex questions in the geosciences. This paper will look how the new Geospatial Technology Competency Model from the Department of Labor can help ensure that geosciences programs address the skills and competencies identified by the workforce for geospatial technology as well as look at new tools created by the GeoTech Center to help do self and program assessments.

  15. Open cyberGIS software for geospatial research and education in the big data era

    NASA Astrophysics Data System (ADS)

    Wang, Shaowen; Liu, Yan; Padmanabhan, Anand

    CyberGIS represents an interdisciplinary field combining advanced cyberinfrastructure, geographic information science and systems (GIS), spatial analysis and modeling, and a number of geospatial domains to improve research productivity and enable scientific breakthroughs. It has emerged as new-generation GIS that enable unprecedented advances in data-driven knowledge discovery, visualization and visual analytics, and collaborative problem solving and decision-making. This paper describes three open software strategies-open access, source, and integration-to serve various research and education purposes of diverse geospatial communities. These strategies have been implemented in a leading-edge cyberGIS software environment through three corresponding software modalities: CyberGIS Gateway, Toolkit, and Middleware, and achieved broad and significant impacts.

  16. Practical Examples and Benefits of Implementing Open Geospatial Consortium Data Formats

    NASA Astrophysics Data System (ADS)

    Bayer, E.

    2005-12-01

    "Open Systems" have become a re-occuring mantra expressed by all vendors in the GIS industry. One vendor's definition of Open defines system integration at an application tier while another at the data tier. As the Open Geospatial Consortium (OGC) data definitions (WFS and WMS) become more accepted in the market place we are seeing a more data centric approach to integrating Geospatial information. This benefits all in the GIS industry by: Reducing the cost of ownership for software Minimizing data maintenance requirements Eliminating the need to copy and translate data from one system to another Allowing end users to choose the best tool for the job We will review some practical examples of OGC compliant implementations for enterprise GIS data sharing.

  17. Integrated Geospatial Education and Technology Training for High School Age Youth (HiGETT)

    NASA Astrophysics Data System (ADS)

    Allen, J. E.

    2012-12-01

    The Landsat series of satellites provides high quality, consistent, 30 m resolution data for studies of landscape-scale change over time at no cost to the user. The availability of the Landsat data archive and the effectiveness and ease of its use to solve practical societal problems, particularly integrated with Geographic Information Systems (GIS), has been a key factor in a movement to bring remote sensing education to community colleges (as in the "iGETT" program funded by the National Science Foundation, 2007-2011) and now to younger students of high school age. "Integrated Geospatial Education and Technology Training for High School Age Youth (HiGETT)" was a two-day meeting convened April 4-5, 2011 to explore and articulate effective means of reaching teens with geospatial technology education and career awareness. Participants represented industry, government, academia, and informal education organizations such as 4-H and Girl Scouts. This poster will summarize a report on that meeting.

  18. Facilitating the production of ISO-compliant metadata of geospatial datasets

    NASA Astrophysics Data System (ADS)

    Giuliani, Gregory; Guigoz, Yaniss; Lacroix, Pierre; Ray, Nicolas; Lehmann, Anthony

    2016-02-01

    Metadata are recognized as an essential element to enable efficient and effective discovery of geospatial data published in spatial data infrastructures (SDI). However, metadata production is still perceived as a complex, tedious and time-consuming task. This typically results in little metadata production and can seriously hinder the objective of facilitating data discovery. In response to this issue, this paper presents a proof of concept based on an interoperable workflow between a data publication server and a metadata catalog to automatically generate ISO-compliant metadata. The proposed approach facilitates metadata creation by embedding this task in daily data management workflows; ensures that data and metadata are permanently up-to-date; significantly reduces the obstacles of metadata production; and potentially facilitates contributions to initiatives like the Global Earth Observation System of Systems (GEOSS) by making geospatial resources discoverable.

  19. GeoCENS: A Geospatial Cyberinfrastructure for the World-Wide Sensor Web

    PubMed Central

    Liang, Steve H.L.; Huang, Chih-Yuan

    2013-01-01

    The world-wide sensor web has become a very useful technique for monitoring the physical world at spatial and temporal scales that were previously impossible. Yet we believe that the full potential of sensor web has thus far not been revealed. In order to harvest the world-wide sensor web's full potential, a geospatial cyberinfrastructure is needed to store, process, and deliver large amount of sensor data collected worldwide. In this paper, we first define the issue of the sensor web long tail followed by our view of the world-wide sensor web architecture. Then, we introduce the Geospatial Cyberinfrastructure for Environmental Sensing (GeoCENS) architecture and explain each of its components. Finally, with demonstration of three real-world powered-by-GeoCENS sensor web applications, we believe that the GeoCENS architecture can successfully address the sensor web long tail issue and consequently realize the world-wide sensor web vision. PMID:24152921

  20. Applying Geospatial Technologies for International Development and Public Health: The USAID/NASA SERVIR Program

    NASA Technical Reports Server (NTRS)

    Hemmings, Sarah; Limaye, Ashutosh; Irwin, Dan

    2011-01-01

    Background: SERVIR -- the Regional Visualization and Monitoring System -- helps people use Earth observations and predictive models based on data from orbiting satellites to make timely decisions that benefit society. SERVIR operates through a network of regional hubs in Mesoamerica, East Africa, and the Hindu Kush-Himalayas. USAID and NASA support SERVIR, with the long-term goal of transferring SERVIR capabilities to the host countries. Objective/Purpose: The purpose of this presentation is to describe how the SERVIR system helps the SERVIR regions cope with eight areas of societal benefit identified by the Group on Earth Observations (GEO): health, disasters, ecosystems, biodiversity, weather, water, climate, and agriculture. This presentation will describe environmental health applications of data in the SERVIR system, as well as ongoing and future efforts to incorporate additional health applications into the SERVIR system. Methods: This presentation will discuss how the SERVIR Program makes environmental data available for use in environmental health applications. SERVIR accomplishes its mission by providing member nations with access to geospatial data and predictive models, information visualization, training and capacity building, and partnership development. SERVIR conducts needs assessments in partner regions, develops custom applications of Earth observation data, and makes NASA and partner data available through an online geospatial data portal at SERVIRglobal.net. Results: Decision makers use SERVIR to improve their ability to monitor air quality, extreme weather, biodiversity, and changes in land cover. In past several years, the system has been used over 50 times to respond to environmental threats such as wildfires, floods, landslides, and harmful algal blooms. Given that the SERVIR regions are experiencing increased stress under larger climate variability than historic observations, SERVIR provides information to support the development of

  1. A comprehensive open package format for preservation and distribution of geospatial data and metadata

    NASA Astrophysics Data System (ADS)

    Pons, X.; Masó, J.

    2016-12-01

    The complexities of the intricate geospatial resources and formats make preservation and distribution of GIS data difficult even among experts. The proliferation of, for instance, KML, Internet map services, etc, reflects the need for sharing geodata but a comprehensive solution when having to deal with data and metadata of a certain complexity is not currently provided. Original geospatial data is usually divided into several parts to record its different aspects (spatial and thematic features, etc), plus additional files containing, metadata, symbolization specifications and tables, etc; these parts are encoded in different formats, both standard and proprietary. To simplify data access, software providers encourage the use of an additional element that we call generically "map project", and this contains links to other parts (local or remote). Consequently, in order to distribute the data and metadata refereed by the map in a complete way, or to apply the Open Archival Information System (OAIS) standard to preserve it for the future, we need to face the multipart problem. This paper proposes a package allowing the distribution of real (comprehensive although diverse and complex) GIS data over the Internet and for data preservation. This proposal, complemented with the right tools, hides but keeps the multipart structure, so providing a simpler but professional user experience. Several packaging strategies are reviewed in the paper, and a solution based on ISO 29500-2 standard is chosen. The solution also considers the adoption of the recent Open Geospatial Consortium Web Services common standard (OGC OWS) context document as map part, and as a way for also combining data files with geospatial services. Finally, and by using adequate strategies, different GIS implementations can use several parts of the package and ignore the rest: a philosophy that has proven useful (e.g. in TIFF).

  2. Combating infectious diseases in the Pacific Islands: sentinel surveillance, environmental health, and geospatial tools.

    PubMed

    Lau, Colleen

    2014-01-01

    Infectious diseases are responsible for significant disease burden in the Pacific Islands. Environmental drivers of disease transmission and public health challenges vary between diseases, at times of emergence versus outbreaks, and also during the last stages of elimination where prevalence is low. In order to more effectively combat infectious diseases in the region, innovative approaches such as sentinel surveillance, environmental monitoring, the use of geospatial tools should be explored.

  3. Integration of Remotely Sensed Data Into Geospatial Reference Information Databases. Un-Ggim National Approach

    NASA Astrophysics Data System (ADS)

    Arozarena, A.; Villa, G.; Valcárcel, N.; Pérez, B.

    2016-06-01

    Remote sensing satellites, together with aerial and terrestrial platforms (mobile and fixed), produce nowadays huge amounts of data coming from a wide variety of sensors. These datasets serve as main data sources for the extraction of Geospatial Reference Information (GRI), constituting the "skeleton" of any Spatial Data Infrastructure (SDI). Since very different situations can be found around the world in terms of geographic information production and management, the generation of global GRI datasets seems extremely challenging. Remotely sensed data, due to its wide availability nowadays, is able to provide fundamental sources for any production or management system present in different countries. After several automatic and semiautomatic processes including ancillary data, the extracted geospatial information is ready to become part of the GRI databases. In order to optimize these data flows for the production of high quality geospatial information and to promote its use to address global challenges several initiatives at national, continental and global levels have been put in place, such as European INSPIRE initiative and Copernicus Programme, and global initiatives such as the Group on Earth Observation/Global Earth Observation System of Systems (GEO/GEOSS) and United Nations Global Geospatial Information Management (UN-GGIM). These workflows are established mainly by public organizations, with the adequate institutional arrangements at national, regional or global levels. Other initiatives, such as Volunteered Geographic Information (VGI), on the other hand may contribute to maintain the GRI databases updated. Remotely sensed data hence becomes one of the main pillars underpinning the establishment of a global SDI, as those datasets will be used by public agencies or institutions as well as by volunteers to extract the required spatial information that in turn will feed the GRI databases. This paper intends to provide an example of how institutional

  4. Optimizing grid computing configuration and scheduling for geospatial analysis: An example with interpolating DEM

    NASA Astrophysics Data System (ADS)

    Huang, Qunying; Yang, Chaowei

    2011-02-01

    Many geographic analyses are very time-consuming and do not scale well when large datasets are involved. For example, the interpolation of DEMs (digital evaluation model) for large geographic areas could become a problem in practical application, especially for web applications such as terrain visualization, where a fast response is required and computational demands exceed the capacity of a traditional single processing unit conducting serial processing. Therefore, high performance and parallel computing approaches, such as grid computing, were investigated to speed up the geographic analysis algorithms, such as DEM interpolation. The key for grid computing is to configure an optimized grid computing platform for the geospatial analysis and optimally schedule the geospatial tasks within a grid platform. However, there is no research focused on this. Using DEM interoperation as an example, we report our systematic research on configuring and scheduling a high performance grid computing platform to improve the performance of geographic analyses through a systematic study on how the number of cores, processors, grid nodes, different network connections and concurrent request impact the speedup of geospatial analyses. Condor, a grid middleware, is used to schedule the DEM interpolation tasks for different grid configurations. A Kansas raster-based DEM is used for a case study and an inverse distance weighting (IDW) algorithm is used in interpolation experiments.

  5. Implementing Extreme Value Analysis in a Geospatial Workflow for Storm Surge Hazard Assessment

    NASA Astrophysics Data System (ADS)

    Catelli, J.; Nong, S.

    2014-12-01

    Gridded data of 100-yr (1%) and 500-yr (0.2%) storm surge flood elevations for the United States, Gulf of Mexico, and East Coast are critical to understanding this natural hazard. Storm surge heights were calculated across the study area utilizing SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model data for thousands of synthetic US landfalling hurricanes. Based on the results derived from SLOSH, a series of interpolations were performed using spatial analysis in a geographic information system (GIS) at both the SLOSH basin and the synthetic event levels. The result was a single grid of maximum flood elevations for each synthetic event. This project addresses the need to utilize extreme value theory in a geospatial environment to analyze coincident cells across multiple synthetic events. The results are 100-yr (1%) and 500-yr (0.2%) values for each grid cell in the study area. This talk details a geospatial approach to move raster data to SciPy's NumPy Array structure using the Python programming language. The data are then connected through a Python library to an outside statistical package like R to fit cell values to extreme value theory distributions and return values for specified recurrence intervals. While this is not a new process, the value behind this work is the ability to keep this process in a single geospatial environment and be able to easily replicate this process for other natural hazard applications and extreme event modeling.

  6. Towards a voxel-based geographic automata for the simulation of geospatial processes

    NASA Astrophysics Data System (ADS)

    Jjumba, Anthony; Dragićević, Suzana

    2016-07-01

    Many geographic processes evolve in a three dimensional space and time continuum. However, when they are represented with the aid of geographic information systems (GIS) or geosimulation models they are modelled in a framework of two-dimensional space with an added temporal component. The objective of this study is to propose the design and implementation of voxel-based automata as a methodological approach for representing spatial processes evolving in the four-dimensional (4D) space-time domain. Similar to geographic automata models which are developed to capture and forecast geospatial processes that change in a two-dimensional spatial framework using cells (raster geospatial data), voxel automata rely on the automata theory and use three-dimensional volumetric units (voxels). Transition rules have been developed to represent various spatial processes which range from the movement of an object in 3D to the diffusion of airborne particles and landslide simulation. In addition, the proposed 4D models demonstrate that complex processes can be readily reproduced from simple transition functions without complex methodological approaches. The voxel-based automata approach provides a unique basis to model geospatial processes in 4D for the purpose of improving representation, analysis and understanding their spatiotemporal dynamics. This study contributes to the advancement of the concepts and framework of 4D GIS.

  7. Geospatial clustering in sugar-sweetened beverage consumption among Boston youth.

    PubMed

    Tamura, Kosuke; Duncan, Dustin T; Athens, Jessica K; Bragg, Marie A; Rienti, Michael; Aldstadt, Jared; Scott, Marc A; Elbel, Brian

    2017-01-17

    The objective was to detect geospatial clustering of sugar-sweetened beverage (SSB) intake in Boston adolescents (age = 16.3 ± 1.3 years [range: 13-19]; female = 56.1%; White = 10.4%, Black = 42.6%, Hispanics = 32.4%, and others = 14.6%) using spatial scan statistics. We used data on self-reported SSB intake from the 2008 Boston Youth Survey Geospatial Dataset (n = 1292). Two binary variables were created: consumption of SSB (never versus any) on (1) soda and (2) other sugary drinks (e.g., lemonade). A Bernoulli spatial scan statistic was used to identify geospatial clusters of soda and other sugary drinks in unadjusted models and models adjusted for age, gender, and race/ethnicity. There was no statistically significant clustering of soda consumption in the unadjusted model. In contrast, a cluster of non-soda SSB consumption emerged in the middle of Boston (relative risk = 1.20, p = .005), indicating that adolescents within the cluster had a 20% higher probability of reporting non-soda SSB intake than outside the cluster. The cluster was no longer significant in the adjusted model, suggesting spatial variation in non-soda SSB drink intake correlates with the geographic distribution of students by race/ethnicity, age, and gender.

  8. A Hybrid Semi-supervised Classification Scheme for Mining Multisource Geospatial Data

    SciTech Connect

    Vatsavai, Raju; Bhaduri, Budhendra L

    2011-01-01

    Supervised learning methods such as Maximum Likelihood (ML) are often used in land cover (thematic) classification of remote sensing imagery. ML classifier relies exclusively on spectral characteristics of thematic classes whose statistical distributions (class conditional probability densities) are often overlapping. The spectral response distributions of thematic classes are dependent on many factors including elevation, soil types, and ecological zones. A second problem with statistical classifiers is the requirement of large number of accurate training samples (10 to 30 |dimensions|), which are often costly and time consuming to acquire over large geographic regions. With the increasing availability of geospatial databases, it is possible to exploit the knowledge derived from these ancillary datasets to improve classification accuracies even when the class distributions are highly overlapping. Likewise newer semi-supervised techniques can be adopted to improve the parameter estimates of statistical model by utilizing a large number of easily available unlabeled training samples. Unfortunately there is no convenient multivariate statistical model that can be employed for mulitsource geospatial databases. In this paper we present a hybrid semi-supervised learning algorithm that effectively exploits freely available unlabeled training samples from multispectral remote sensing images and also incorporates ancillary geospatial databases. We have conducted several experiments on real datasets, and our new hybrid approach shows over 25 to 35% improvement in overall classification accuracy over conventional classification schemes.

  9. An Interactive Visual Analytics Framework for Multi-Field Data in a Geo-Spatial Context

    SciTech Connect

    Zhang, Zhiyuan; Tong, Xiaonan; McDonnell, Kevin T.; Zelenyuk, Alla; Imre, D.; Mueller, Klaus

    2013-04-01

    Climate research produces a wealth of multivariate data. These data often have a geospatial reference and so it is of interest to show them within their geospatial context. One can consider this configuration as a multi field visualization problem, where the geospace provides the expanse of the field. However, there is a limit on the amount of multivariate information that can be fit within a certain spatial location, and the use of linked multivari ate information displays has previously been devised to bridge this gap. In this paper we focus on the interactions in the geographical display, present an implementation that uses Google Earth, and demonstrate it within a tightly linked parallel coordinates display. Several other visual representations, such as pie and bar charts are integrated into the Google Earth display and can be interactively manipulated. Further, we also demonstrate new brushing and visualization techniques for parallel coordinates, such as fixedwindow brushing and correlationenhanced display. We conceived our system with a team of climate researchers, who already made a few important discov eries using it. This demonstrates our system’s great potential to enable scientific discoveries, possibly also in oth er domains where data have a geospatial reference.

  10. Validation of 3 food outlet databases: completeness and geospatial accuracy in rural and urban food environments.

    PubMed

    Liese, Angela D; Colabianchi, Natalie; Lamichhane, Archana P; Barnes, Timothy L; Hibbert, James D; Porter, Dwayne E; Nichols, Michele D; Lawson, Andrew B

    2010-12-01

    Despite interest in the built food environment, little is known about the validity of commonly used secondary data. The authors conducted a comprehensive field census identifying the locations of all food outlets using a handheld global positioning system in 8 counties in South Carolina (2008-2009). Secondary data were obtained from 2 commercial companies, Dun & Bradstreet, Inc. (D&B) (Short Hills, New Jersey) and InfoUSA, Inc. (Omaha, Nebraska), and the South Carolina Department of Health and Environmental Control (DHEC). Sensitivity, positive predictive value, and geospatial accuracy were compared. The field census identified 2,208 food outlets, significantly more than the DHEC (n = 1,694), InfoUSA (n = 1,657), or D&B (n = 1,573). Sensitivities were moderate for DHEC (68%) and InfoUSA (65%) and fair for D&B (55%). Combining InfoUSA and D&B data would have increased sensitivity to 78%. Positive predictive values were very good for DHEC (89%) and InfoUSA (86%) and good for D&B (78%). Geospatial accuracy varied, depending on the scale: More than 80% of outlets were geocoded to the correct US Census tract, but only 29%-39% were correctly allocated within 100 m. This study suggests that the validity of common data sources used to characterize the food environment is limited. The marked undercount of food outlets and the geospatial inaccuracies observed have the potential to introduce bias into studies evaluating the impact of the built food environment.

  11. National Geospatial Data Asset Lifecycle Baseline Maturity Assessment for the Federal Geographic Data Committee

    NASA Astrophysics Data System (ADS)

    Peltz-Lewis, L. A.; Blake-Coleman, W.; Johnston, J.; DeLoatch, I. B.

    2014-12-01

    The Federal Geographic Data Committee (FGDC) is designing a portfolio management process for 193 geospatial datasets contained within the 16 topical National Spatial Data Infrastructure themes managed under OMB Circular A-16 "Coordination of Geographic Information and Related Spatial Data Activities." The 193 datasets are designated as National Geospatial Data Assets (NGDA) because of their significance in implementing to the missions of multiple levels of government, partners and stakeholders. As a starting point, the data managers of these NGDAs will conduct a baseline maturity assessment of the dataset(s) for which they are responsible. The maturity is measured against benchmarks related to each of the seven stages of the data lifecycle management framework promulgated within the OMB Circular A-16 Supplemental Guidance issued by OMB in November 2010. This framework was developed by the interagency Lifecycle Management Work Group (LMWG), consisting of 16 Federal agencies, under the 2004 Presidential Initiative the Geospatial Line of Business,using OMB Circular A-130" Management of Federal Information Resources" as guidance The seven lifecycle stages are: Define, Inventory/Evaluate, Obtain, Access, Maintain, Use/Evaluate, and Archive. This paper will focus on the Lifecycle Baseline Maturity Assessment, and efforts to integration the FGDC approach with other data maturity assessments.

  12. Geospatial database of estimates of groundwater discharge to streams in the Upper Colorado River Basin

    USGS Publications Warehouse

    Garcia, Adriana; Masbruch, Melissa D.; Susong, David D.

    2014-01-01

    The U.S. Geological Survey, as part of the Department of the Interior’s WaterSMART (Sustain and Manage America’s Resources for Tomorrow) initiative, compiled published estimates of groundwater discharge to streams in the Upper Colorado River Basin as a geospatial database. For the purpose of this report, groundwater discharge to streams is the baseflow portion of streamflow that includes contributions of groundwater from various flow paths. Reported estimates of groundwater discharge were assigned as attributes to stream reaches derived from the high-resolution National Hydrography Dataset. A total of 235 estimates of groundwater discharge to streams were compiled and included in the dataset. Feature class attributes of the geospatial database include groundwater discharge (acre-feet per year), method of estimation, citation abbreviation, defined reach, and 8-digit hydrologic unit code(s). Baseflow index (BFI) estimates of groundwater discharge were calculated using an existing streamflow characteristics dataset and were included as an attribute in the geospatial database. A comparison of the BFI estimates to the compiled estimates of groundwater discharge found that the BFI estimates were greater than the reported groundwater discharge estimates.

  13. Technical Manual for the Geospatial Stream Flow Model (GeoSFM)

    USGS Publications Warehouse

    Asante, Kwabena O.; Artan, Guleid A.; Pervez, Md Shahriar; Bandaragoda, Christina; Verdin, James P.

    2008-01-01

    The monitoring of wide-area hydrologic events requires the use of geospatial and time series data available in near-real time. These data sets must be manipulated into information products that speak to the location and magnitude of the event. Scientists at the U.S. Geological Survey Earth Resources Observation and Science (USGS EROS) Center have implemented a hydrologic modeling system which consists of an operational data processing system and the Geospatial Stream Flow Model (GeoSFM). The data processing system generates daily forcing evapotranspiration and precipitation data from various remotely sensed and ground-based data sources. To allow for rapid implementation in data scarce environments, widely available terrain, soil, and land cover data sets are used for model setup and initial parameter estimation. GeoSFM performs geospatial preprocessing and postprocessing tasks as well as hydrologic modeling tasks within an ArcView GIS environment. The integration of GIS routines and time series processing routines is achieved seamlessly through the use of dynamically linked libraries (DLLs) embedded within Avenue scripts. GeoSFM is run operationally to identify and map wide-area streamflow anomalies. Daily model results including daily streamflow and soil water maps are disseminated through Internet map servers, flood hazard bulletins and other media.

  14. Users Manual for the Geospatial Stream Flow Model (GeoSFM)

    USGS Publications Warehouse

    Artan, Guleid A.; Asante, Kwabena; Smith, Jodie; Pervez, Md Shahriar; Entenmann, Debbie; Verdin, James P.; Rowland, James

    2008-01-01

    The monitoring of wide-area hydrologic events requires the manipulation of large amounts of geospatial and time series data into concise information products that characterize the location and magnitude of the event. To perform these manipulations, scientists at the U.S. Geological Survey Center for Earth Resources Observation and Science (EROS), with the cooperation of the U.S. Agency for International Development, Office of Foreign Disaster Assistance (USAID/OFDA), have implemented a hydrologic modeling system. The system includes a data assimilation component to generate data for a Geospatial Stream Flow Model (GeoSFM) that can be run operationally to identify and map wide-area streamflow anomalies. GeoSFM integrates a geographical information system (GIS) for geospatial preprocessing and postprocessing tasks and hydrologic modeling routines implemented as dynamically linked libraries (DLLs) for time series manipulations. Model results include maps that depicting the status of streamflow and soil water conditions. This Users Manual provides step-by-step instructions for running the model and for downloading and processing the input data required for initial model parameterization and daily operation.

  15. Web-Based Geospatial Tools to Address Hazard Mitigation, Natural Resource Management, and Other Societal Issues

    USGS Publications Warehouse

    Hearn,, Paul P.

    2009-01-01

    Federal, State, and local government agencies in the United States face a broad range of issues on a daily basis. Among these are natural hazard mitigation, homeland security, emergency response, economic and community development, water supply, and health and safety services. The U.S. Geological Survey (USGS) helps decision makers address these issues by providing natural hazard assessments, information on energy, mineral, water and biological resources, maps, and other geospatial information. Increasingly, decision makers at all levels are challenged not by the lack of information, but by the absence of effective tools to synthesize the large volume of data available, and to utilize the data to frame policy options in a straightforward and understandable manner. While geographic information system (GIS) technology has been widely applied to this end, systems with the necessary analytical power have been usable only by trained operators. The USGS is addressing the need for more accessible, manageable data tools by developing a suite of Web-based geospatial applications that will incorporate USGS and cooperating partner data into the decision making process for a variety of critical issues. Examples of Web-based geospatial tools being used to address societal issues follow.

  16. Bridging the Gap between NASA Hydrological Data and the Geospatial Community

    NASA Technical Reports Server (NTRS)

    Rui, Hualan; Teng, Bill; Vollmer, Bruce; Mocko, David M.; Beaudoing, Hiroko K.; Nigro, Joseph; Gary, Mark; Maidment, David; Hooper, Richard

    2011-01-01

    There is a vast and ever increasing amount of data on the Earth interconnected energy and hydrological systems, available from NASA remote sensing and modeling systems, and yet, one challenge persists: increasing the usefulness of these data for, and thus their use by, the geospatial communities. The Hydrology Data and Information Services Center (HDISC), part of the Goddard Earth Sciences DISC, has continually worked to better understand the hydrological data needs of the geospatial end users, to thus better able to bridge the gap between NASA data and the geospatial communities. This paper will cover some of the hydrological data sets available from HDISC, and the various tools and services developed for data searching, data subletting ; format conversion. online visualization and analysis; interoperable access; etc.; to facilitate the integration of NASA hydrological data by end users. The NASA Goddard data analysis and visualization system, Giovanni, is described. Two case examples of user-customized data services are given, involving the EPA BASINS (Better Assessment Science Integrating point & Non-point Sources) project and the CUAHSI Hydrologic Information System, with the common requirement of on-the-fly retrieval of long duration time series for a geographical point

  17. School Mapping and Geospatial Analysis of the Schools in Jasra Development Block of India

    NASA Astrophysics Data System (ADS)

    Agrawal, S.; Gupta, R. D.

    2016-06-01

    GIS is a collection of tools and techniques that works on the geospatial data and is used in the analysis and decision making. Education is an inherent part of any civil society. Proper educational facilities generate the high quality human resource for any nation. Therefore, government needs an efficient system that can help in analysing the current state of education and its progress. Government also needs a system that can support in decision making and policy framing. GIS can serve the mentioned requirements not only for government but also for the general public. In order to meet the standards of human development, it is necessary for the government and decision makers to have a close watch on the existing education policy and its implementation condition. School mapping plays an important role in this aspect. School mapping consists of building the geospatial database of schools that supports in the infrastructure development, policy analysis and decision making. The present research work is an attempt for supporting Right to Education (RTE) and Sarv Sikha Abhiyaan (SSA) programmes run by Government of India through the use of GIS. School mapping of the study area is performed which is followed by the geospatial analysis. This research work will help in assessing the present status of educational infrastructure in Jasra block of Allahabad district, India.

  18. Investigating Climate Change Issues With Web-Based Geospatial Inquiry Activities

    NASA Astrophysics Data System (ADS)

    Dempsey, C.; Bodzin, A. M.; Sahagian, D. L.; Anastasio, D. J.; Peffer, T.; Cirucci, L.

    2011-12-01

    In the Environmental Literacy and Inquiry middle school Climate Change curriculum we focus on essential climate literacy principles with an emphasis on weather and climate, Earth system energy balance, greenhouse gases, paleoclimatology, and how human activities influence climate change (http://www.ei.lehigh.edu/eli/cc/). It incorporates a related set of a framework and design principles to provide guidance for the development of the geospatial technology-integrated Earth and environmental science curriculum materials. Students use virtual globes, Web-based tools including an interactive carbon calculator and geologic timeline, and inquiry-based lab activities to investigate climate change topics. The curriculum includes educative curriculum materials that are designed to promote and support teachers' learning of important climate change content and issues, geospatial pedagogical content knowledge, and geographic spatial thinking. The curriculum includes baseline instructional guidance for teachers and provides implementation and adaptation guidance for teaching with diverse learners including low-level readers, English language learners and students with disabilities. In the curriculum, students use geospatial technology tools including Google Earth with embedded spatial data to investigate global temperature changes, areas affected by climate change, evidence of climate change, and the effects of sea level rise on the existing landscape. We conducted a designed-based research implementation study with urban middle school students. Findings showed that the use of the Climate Change curriculum showed significant improvement in urban middle school students' understanding of climate change concepts.

  19. Visa: AN Automatic Aware and Visual Aids Mechanism for Improving the Correct Use of Geospatial Data

    NASA Astrophysics Data System (ADS)

    Hong, J. H.; Su, Y. T.

    2016-06-01

    With the fast growth of internet-based sharing mechanism and OpenGIS technology, users nowadays enjoy the luxury to quickly locate and access a variety of geospatial data for the tasks at hands. While this sharing innovation tremendously expand the possibility of application and reduce the development cost, users nevertheless have to deal with all kinds of "differences" implicitly hidden behind the acquired georesources. We argue the next generation of GIS-based environment, regardless internet-based or not, must have built-in knowledge to automatically and correctly assess the fitness of data use and present the analyzed results to users in an intuitive and meaningful way. The VISA approach proposed in this paper refer to four different types of visual aids that can be respectively used for addressing analyzed results, namely, virtual layer, informative window, symbol transformation and augmented TOC. The VISA-enabled interface works in an automatic-aware fashion, where the standardized metadata serve as the known facts about the selected geospatial resources, algorithms for analyzing the differences of temporality and quality of the geospatial resources were designed and the transformation of analyzed results into visual aids were automatically executed. It successfully presents a new way for bridging the communication gaps between systems and users. GIS has been long seen as a powerful integration tool, but its achievements would be highly restricted if it fails to provide a friendly and correct working platform.

  20. Creating a geospatial database of risks and resources to explore urban adolescent substance use.

    PubMed

    Mason, Michael; Cheung, Ivan; Walker, Leslie

    2009-01-01

    This article illustrates the methodology of creating a comprehensive geospatial database in order to systematically understand the social ecology of risk and protection for urban youth. The challenges and future opportunities involved with this complex work were reviewed, and specific examples were provided to guide researchers. Data were collected from a Washington, DC adolescent substance abuse treatment sample to construct a geospatial database to evaluate urban youths' social environmental risk and resources. A geographic information systems (GIS) approach was adopted to integrate a large array of variables at different levels of geography. For example, risk factors included proximity to crime hotspots, and other known potential establishments with negative influence (such as liquor stores). We also used GIS to assess the subjects' accessibility to protective resources such as public libraries, recreational, parks, and police stations. Unique to our method was the collecting and mapping of each teen's activity locations (places they typically frequent). These data form "risk and protection exposure" estimates for each teen. Finally, we illustrated the specific methods for creating a dynamic geospatial database for urban youth and present future analytical approaches and challenges with these type of data.

  1. a Public Platform for Geospatial Data Sharing for Disaster Risk Management

    NASA Astrophysics Data System (ADS)

    Balbo, S.; Boccardo, P.; Dalmasso, S.; Pasquali, P.

    2013-01-01

    Several studies have been conducted in Africa to assist local governments in addressing the risk situation related to natural hazards. Geospatial data containing information on vulnerability, impacts, climate change, disaster risk reduction is usually part of the output of such studies and is valuable to national and international organizations to reduce the risks and mitigate the impacts of disasters. Nevertheless this data isn't efficiently widely distributed and often resides in remote storage solutions hardly reachable. Spatial Data Infrastructures are technical solutions capable to solve this issue, by storing geospatial data and making them widely available through the internet. Among these solutions, GeoNode, an open source online platform for geospatial data sharing, has been developed in recent years. GeoNode is a platform for the management and publication of geospatial data. It brings together mature and stable open-source software projects under a consistent and easy-to-use interface allowing users, with little training, to quickly and easily share data and create interactive maps. GeoNode data management tools allow for integrated creation of data, metadata, and map visualizations. Each dataset in the system can be shared publicly or restricted to allow access to only specific users. Social features like user profiles and commenting and rating systems allow for the development of communities around each platform to facilitate the use, management, and quality control of the data the GeoNode instance contains (http://geonode.org/). This paper presents a case study scenario of setting up a Web platform based on GeoNode. It is a public platform called MASDAP and promoted by the Government of Malawi in order to support development of the country and build resilience against natural disasters. A substantial amount of geospatial data has already been collected about hydrogeological risk, as well as several

  2. Data Quality, Provenance and IPR Management services: their role in empowering geospatial data suppliers and users

    NASA Astrophysics Data System (ADS)

    Millard, Keiran

    2015-04-01

    This paper looks at current experiences of geospatial users and geospatial suppliers and how they have been limited by suitable frameworks for managing and communicating data quality, data provenance and intellectual property rights (IPR). Current political and technological drivers mean that increasing volumes of geospatial data are available through a plethora of different products and services, and whilst this is inherently a good thing it does create a new generation of challenges. This paper consider two examples of where these issues have been examined and looks at the challenges and possible solutions from a data user and data supplier perspective. The first example is the IQmulus project that is researching fusion environments for big geospatial point clouds and coverages. The second example is the EU Emodnet programme that is establishing thematic data portals for public marine and coastal data. IQmulus examines big geospatial data; the data from sources such as LIDAR, SONAR and numerical simulations; these data are simply too big for routine and ad-hoc analysis, yet they could realise a myriad of disparate, and readily useable, information products with the right infrastructure in place. IQmulus is researching how to deliver this infrastructure technically, but a financially sustainable delivery depends on being able to track and manage ownership and IPR across the numerous data sets being processed. This becomes complex when the data is composed of multiple overlapping coverages, however managing this allows for uses to be delivered highly-bespoke products to meet their budget and technical needs. The Emodnet programme delivers harmonised marine data at the EU scale across seven thematic portals. As part of the Emodnet programme a series of 'check points' have been initiated to examine how useful these services and other public data services actually are to solve real-world problems. One key finding is that users have been confused by the fact that often

  3. Comprehensive, Mixed-Methods Assessment of a Blended Learning Model for Geospatial Literacy Instruction

    NASA Astrophysics Data System (ADS)

    Brodeur, J. J.; Maclachlan, J. C.; Bagg, J.; Chiappetta-Swanson, C.; Vine, M. M.; Vajoczki, S.

    2013-12-01

    Geospatial literacy -- the ability to conceptualize, capture, analyze and communicate spatial phenomena -- represents an important competency for 21st Century learners in a period of 'Geospatial Revolution'. Though relevant to in-course learning, these skills are often taught externally, placing time and resource pressures on the service providers - commonly libraries - that are relied upon to provide instruction. The emergence of online and blended modes of instruction has presented a potential means of increasing the cost-effectiveness of such activities, by simultaneously reducing instructional costs, expanding the audience for these resources, and addressing student preferences for asynchronous learning and '24-7' access. During 2011 and 2012, McMaster University Library coordinated the development, implementation and assessment of blended learning modules for geospatial literacy instruction in first-year undergraduate Social Science courses. In this paper, we present the results of a comprehensive mixed-methods approach to assess the efficacy of implementing blended learning modules to replace traditional (face-to-face), library-led, first-year undergraduate geospatial literacy instruction. Focus groups, personal interviews and an online survey were used to assess modules across dimensions of: student use, satisfaction and accessibility requirements (via Universal Instructional Design [UID] principles); instructor and teaching staff perception of pedagogical efficacy and instructional effectiveness; and, administrator cost-benefit assessment of development and implementation. Results showed that both instructors and students identified significant value in using the online modules in a blended-learning setting. Reaffirming assumptions of students' '24/7' learning preferences, over 80% of students reported using the modules on a repeat basis. Students were more likely to use the modules to better understand course content than simply to increase their grade in

  4. GeoViQua: quality-aware geospatial data discovery and evaluation

    NASA Astrophysics Data System (ADS)

    Bigagli, L.; Papeschi, F.; Mazzetti, P.; Nativi, S.

    2012-04-01

    GeoViQua (QUAlity aware VIsualization for the Global Earth Observation System of Systems) is a recently started FP7 project aiming at complementing the Global Earth Observation System of Systems (GEOSS) with rigorous data quality specifications and quality-aware capabilities, in order to improve reliability in scientific studies and policy decision-making. GeoViQua main scientific and technical objective is to enhance the GEOSS Common Infrastructure (GCI) providing the user community with innovative quality-aware search and evaluation tools, which will be integrated in the GEO-Portal, as well as made available to other end-user interfaces. To this end, GeoViQua will promote the extension of the current standard metadata for geographic information with accurate and expressive quality indicators, also contributing to the definition of a quality label (GEOLabel). GeoViQua proposed solutions will be assessed in several pilot case studies covering the whole Earth Observation chain, from remote sensing acquisition to data processing, to applications in the main GEOSS Societal Benefit Areas. This work presents the preliminary results of GeoViQua Work Package 4 "Enhanced geo-search tools" (WP4), started in January 2012. Its major anticipated technical innovations are search and evaluation tools that communicate and exploit data quality information from the GCI. In particular, GeoViQua will investigate a graphical search interface featuring a coherent and meaningful aggregation of statistics and metadata summaries (e.g. in the form of tables, charts), thus enabling end users to leverage quality constraints for data discovery and evaluation. Preparatory work on WP4 requirements indicated that users need the "best" data for their purpose, implying a high degree of subjectivity in judgment. This suggests that the GeoViQua system should exploit a combination of provider-generated metadata (objective indicators such as summary statistics), system-generated metadata (contextual

  5. Emergent Imaging and Geospatial Technologies for Soil Investigations

    NASA Technical Reports Server (NTRS)

    DeGloria, Stephen D.; Beaudette, Dylan E.; Irons, James R.; Libohova, Zamir; O'Neill, Peggy E.; Owens, Phillip R.; Schoeneberger, Philip J.; West, Larry T.; Wysocki, Douglas A.

    2014-01-01

    Soil survey investigations and inventories form the scientific basis for a wide spectrum of agronomic and environmental management programs. Soil data and information help formulate resource conservation policies of federal, state, and local governments that seek to sustain our agricultural production system while enhancing environmental quality on both public and private lands. The dual challenges of increasing agricultural production and ensuring environmental integrity require electronically available soil inventory data with both spatial and attribute quality. Meeting this societal need in part depends on development and evaluation of new methods for updating and maintaining soil inventories for sophisticated applications, and implementing an effective framework to conceptualize and communicate tacit knowledge from soil scientists to numerous stakeholders.

  6. Application of an imputation method for geospatial inventory of forest structural attributes across multiple spatial scales in the Lake States, U.S.A

    NASA Astrophysics Data System (ADS)

    Deo, Ram K.

    Credible spatial information characterizing the structure and site quality of forests is critical to sustainable forest management and planning, especially given the increasing demands and threats to forest products and services. Forest managers and planners are required to evaluate forest conditions over a broad range of scales, contingent on operational or reporting requirements. Traditionally, forest inventory estimates are generated via a design-based approach that involves generalizing sample plot measurements to characterize an unknown population across a larger area of interest. However, field plot measurements are costly and as a consequence spatial coverage is limited. Remote sensing technologies have shown remarkable success in augmenting limited sample plot data to generate stand- and landscape-level spatial predictions of forest inventory attributes. Further enhancement of forest inventory approaches that couple field measurements with cutting edge remotely sensed and geospatial datasets are essential to sustainable forest management. We evaluated a novel Random Forest based k Nearest Neighbors (RF-kNN) imputation approach to couple remote sensing and geospatial data with field inventory collected by different sampling methods to generate forest inventory information across large spatial extents. The forest inventory data collected by the FIA program of US Forest Service was integrated with optical remote sensing and other geospatial datasets to produce biomass distribution maps for a part of the Lake States and species-specific site index maps for the entire Lake State. Targeting small-area application of the state-of-art remote sensing, LiDAR (light detection and ranging) data was integrated with the field data collected by an inexpensive method, called variable plot sampling, in the Ford Forest of Michigan Tech to derive standing volume map in a cost-effective way. The outputs of the RF-kNN imputation were compared with independent validation

  7. Web mapping system for complex processing and visualization of environmental geospatial datasets

    NASA Astrophysics Data System (ADS)

    Titov, Alexander; Gordov, Evgeny; Okladnikov, Igor

    2016-04-01

    Environmental geospatial datasets (meteorological observations, modeling and reanalysis results, etc.) are used in numerous research applications. Due to a number of objective reasons such as inherent heterogeneity of environmental datasets, big dataset volume, complexity of data models used, syntactic and semantic differences that complicate creation and use of unified terminology, the development of environmental geodata access, processing and visualization services as well as client applications turns out to be quite a sophisticated task. According to general INSPIRE requirements to data visualization geoportal web applications have to provide such standard functionality as data overview, image navigation, scrolling, scaling and graphical overlay, displaying map legends and corresponding metadata information. It should be noted that modern web mapping systems as integrated geoportal applications are developed based on the SOA and might be considered as complexes of interconnected software tools for working with geospatial data. In the report a complex web mapping system including GIS web client and corresponding OGC services for working with geospatial (NetCDF, PostGIS) dataset archive is presented. There are three basic tiers of the GIS web client in it: 1. Tier of geospatial metadata retrieved from central MySQL repository and represented in JSON format 2. Tier of JavaScript objects implementing methods handling: --- NetCDF metadata --- Task XML object for configuring user calculations, input and output formats --- OGC WMS/WFS cartographical services 3. Graphical user interface (GUI) tier representing JavaScript objects realizing web application business logic Metadata tier consists of a number of JSON objects containing technical information describing geospatial datasets (such as spatio-temporal resolution, meteorological parameters, valid processing methods, etc). The middleware tier of JavaScript objects implementing methods for handling geospatial

  8. Creating of Central Geospatial Database of the Slovak Republic and Procedures of its Revision

    NASA Astrophysics Data System (ADS)

    Miškolci, M.; Šafář, V.; Šrámková, R.

    2016-06-01

    The article describes the creation of initial three dimensional geodatabase from planning and designing through the determination of technological and manufacturing processes to practical using of Central Geospatial Database (CGD - official name in Slovak language is Centrálna Priestorová Databáza - CPD) and shortly describes procedures of its revision. CGD ensures proper collection, processing, storing, transferring and displaying of digital geospatial information. CGD is used by Ministry of Defense (MoD) for defense and crisis management tasks and by Integrated rescue system. For military personnel CGD is run on MoD intranet, and for other users outside of MoD is transmutated to ZbGIS (Primary Geodatabase of Slovak Republic) and is run on public web site. CGD is a global set of geo-spatial information. CGD is a vector computer model which completely covers entire territory of Slovakia. Seamless CGD is created by digitizing of real world using of photogrammetric stereoscopic methods and measurements of objects properties. Basic vector model of CGD (from photogrammetric processing) is then taken out to the field for inspection and additional gathering of objects properties in the whole area of mapping. Finally real-world objects are spatially modeled as a entities of three-dimensional database. CGD gives us opportunity, to get know the territory complexly in all the three spatial dimensions. Every entity in CGD has recorded the time of collection, which allows the individual to assess the timeliness of information. CGD can be utilized for the purposes of geographical analysis, geo-referencing, cartographic purposes as well as various special-purpose mapping and has the ambition to cover the needs not only the MoD, but to become a reference model for the national geographical infrastructure.

  9. a New Initiative for Tiling, Stitching and Processing Geospatial Big Data in Distributed Computing Environments

    NASA Astrophysics Data System (ADS)

    Olasz, A.; Nguyen Thai, B.; Kristóf, D.

    2016-06-01

    Within recent years, several new approaches and solutions for Big Data processing have been developed. The Geospatial world is still facing the lack of well-established distributed processing solutions tailored to the amount and heterogeneity of geodata, especially when fast data processing is a must. The goal of such systems is to improve processing time by distributing data transparently across processing (and/or storage) nodes. These types of methodology are based on the concept of divide and conquer. Nevertheless, in the context of geospatial processing, most of the distributed computing frameworks have important limitations regarding both data distribution and data partitioning methods. Moreover, flexibility and expendability for handling various data types (often in binary formats) are also strongly required. This paper presents a concept for tiling, stitching and processing of big geospatial data. The system is based on the IQLib concept (https://github.com/posseidon/IQLib/) developed in the frame of the IQmulus EU FP7 research and development project (http://www.iqmulus.eu). The data distribution framework has no limitations on programming language environment and can execute scripts (and workflows) written in different development frameworks (e.g. Python, R or C#). It is capable of processing raster, vector and point cloud data. The above-mentioned prototype is presented through a case study dealing with country-wide processing of raster imagery. Further investigations on algorithmic and implementation details are in focus for the near future.

  10. Testing framework for GRASS GIS: ensuring reproducibility of scientific geospatial computing

    NASA Astrophysics Data System (ADS)

    Petras, V.; Gebbert, S.

    2014-12-01

    GRASS GIS, a free and open source GIS, is used by many scientists directly or through other projects such as R or QGIS to perform geoprocessing tasks. Thus, a large number of scientific geospatial computations depend on quality and correct functionality of GRASS GIS. Automatic functionality testing is therefore necessary to ensure software reliability. Here we present a testing framework for GRASS GIS which addresses different needs of GRASS GIS and geospatial software in general. It allows to test GRASS tools (referred to as GRASS modules) and examine outputs including large raster and vector maps as well as temporal datasets. Furthermore, it enables to test all levels of GRASS GIS architecture including C and Python application programming interface and GRASS modules invoked as subprocesses. Since GRASS GIS is used as a platform for development of geospatial algorithms and models, the testing framework allows not only to test GRASS GIS core functionality but also tools developed by scientists as a part of their research. Using testing framework we can test GRASS GIS and related tools automatically and repetitively and thus detect errors caused by code changes and new developments. Tools and code are then easier to maintain which results in preserving reproducibility of scientific results over time. Similarly to open source code, the test results are publicly accessible, so that all current and potential users can see them. The usage of testing framework will be presented on an example of a test suite for r.slope.aspect module, a tool for computation of terrain slope, aspect, curvatures and other terrain characteristics.

  11. Knowledge-driven geospatial location resolution for phylogeographic models of virus migration

    PubMed Central

    Weissenbacher, Davy; Tahsin, Tasnia; Beard, Rachel; Figaro, Mari; Rivera, Robert; Scotch, Matthew; Gonzalez, Graciela

    2015-01-01

    Summary: Diseases caused by zoonotic viruses (viruses transmittable between humans and animals) are a major threat to public health throughout the world. By studying virus migration and mutation patterns, the field of phylogeography provides a valuable tool for improving their surveillance. A key component in phylogeographic analysis of zoonotic viruses involves identifying the specific locations of relevant viral sequences. This is usually accomplished by querying public databases such as GenBank and examining the geospatial metadata in the record. When sufficient detail is not available, a logical next step is for the researcher to conduct a manual survey of the corresponding published articles. Motivation: In this article, we present a system for detection and disambiguation of locations (toponym resolution) in full-text articles to automate the retrieval of sufficient metadata. Our system has been tested on a manually annotated corpus of journal articles related to phylogeography using integrated heuristics for location disambiguation including a distance heuristic, a population heuristic and a novel heuristic utilizing knowledge obtained from GenBank metadata (i.e. a ‘metadata heuristic’). Results: For detecting and disambiguating locations, our system performed best using the metadata heuristic (0.54 Precision, 0.89 Recall and 0.68 F-score). Precision reaches 0.88 when examining only the disambiguation of location names. Our error analysis showed that a noticeable increase in the accuracy of toponym resolution is possible by improving the geospatial location detection. By improving these fundamental automated tasks, our system can be a useful resource to phylogeographers that rely on geospatial metadata of GenBank sequences. Contact: davy.weissenbacher@asu.edu PMID:26072502

  12. Validation of 3 Food Outlet Databases: Completeness and Geospatial Accuracy in Rural and Urban Food Environments

    PubMed Central

    Liese, Angela D.; Colabianchi, Natalie; Lamichhane, Archana P.; Barnes, Timothy L.; Hibbert, James D.; Porter, Dwayne E.; Nichols, Michele D.; Lawson, Andrew B.

    2010-01-01

    Despite interest in the built food environment, little is known about the validity of commonly used secondary data. The authors conducted a comprehensive field census identifying the locations of all food outlets using a handheld global positioning system in 8 counties in South Carolina (2008–2009). Secondary data were obtained from 2 commercial companies, Dun & Bradstreet, Inc. (D&B) (Short Hills, New Jersey) and InfoUSA, Inc. (Omaha, Nebraska), and the South Carolina Department of Health and Environmental Control (DHEC). Sensitivity, positive predictive value, and geospatial accuracy were compared. The field census identified 2,208 food outlets, significantly more than the DHEC (n = 1,694), InfoUSA (n = 1,657), or D&B (n = 1,573). Sensitivities were moderate for DHEC (68%) and InfoUSA (65%) and fair for D&B (55%). Combining InfoUSA and D&B data would have increased sensitivity to 78%. Positive predictive values were very good for DHEC (89%) and InfoUSA (86%) and good for D&B (78%). Geospatial accuracy varied, depending on the scale: More than 80% of outlets were geocoded to the correct US Census tract, but only 29%–39% were correctly allocated within 100 m. This study suggests that the validity of common data sources used to characterize the food environment is limited. The marked undercount of food outlets and the geospatial inaccuracies observed have the potential to introduce bias into studies evaluating the impact of the built food environment. PMID:20961970

  13. Geospatial Analysis Using Remote Sensing Images: Case Studies of Zonguldak Test Field

    NASA Astrophysics Data System (ADS)

    Bayık, Çağlar; Topan, Hüseyin; Özendi, Mustafa; Oruç, Murat; Cam, Ali; Abdikan, Saygın

    2016-06-01

    Inclined topographies are one of the most challenging problems for geospatial analysis of air-borne and space-borne imageries. However, flat areas are mostly misleading to exhibit the real performance. For this reason, researchers generally require a study area which includes mountainous topography and various land cover and land use types. Zonguldak and its vicinity is a very suitable test site for performance investigation of remote sensing systems due to the fact that it contains different land use types such as dense forest, river, sea, urban area; different structures such as open pit mining operations, thermal power plant; and its mountainous structure. In this paper, we reviewed more than 120 proceeding papers and journal articles about geospatial analysis that are performed on the test field of Zonguldak and its surroundings. Geospatial analysis performed with imageries include elimination of systematic geometric errors, 2/3D georeferencing accuracy assessment, DEM and DSM generation and validation, ortho-image production, evaluation of information content, image classification, automatic feature extraction and object recognition, pan-sharpening, land use and land cover change analysis and deformation monitoring. In these applications many optical satellite images are used i.e. ASTER, Bilsat-1, IKONOS, IRS-1C, KOMPSAT-1, KVR-1000, Landsat-3-5-7, Orbview-3, QuickBird, Pleiades, SPOT-5, TK-350, RADARSAT-1, WorldView-1-2; as well as radar data i.e. JERS-1, Envisat ASAR, TerraSAR-X, ALOS PALSAR and SRTM. These studies are performed by Departments of Geomatics Engineering at Bülent Ecevit University, at İstanbul Technical University, at Yıldız Technical University, and Institute of Photogrammetry and GeoInformation at Leibniz University Hannover. These studies are financially supported by TÜBİTAK (Turkey), the Universities, ESA, Airbus DS, ERSDAC (Japan) and Jülich Research Centre (Germany).

  14. Evaluation of Open Geospatial Consortium Standards fur Use In LLNL Geographic Information Systems (GIS)

    SciTech Connect

    Walker, H; Chou, R; Chubb, K; Schek, J

    2005-09-28

    The objective of this project is to evaluate existing and emerging Open Geospatial Consortium (OGC) standards for use in LLNL programs that rely heavily on geographic data. OGC standards are intended to facilitate interoperability between geospatial processing systems to avoid duplication of effort, lower development costs, and encourage competition based on improved capability and performance rather than vendor lock-in. Some of these standards appear to be gaining traction in the geospatial data community, the Federal government, DOE and DHS. A serious evaluation of this technology is appropriate at this time due to increasing interest and mandated compliance in the Federal government in some situations. A subset of OGC standards is identified and reviewed with a focus on applications to LLNL programs. Each standard or recommendation reviewed was evaluated in general terms. In addition, for specific programs such as Gen&SIS and NARAC, a specific evaluation was made of several of the standards and how they could be used most effectively. It is also important to evaluate the acceptance of these standards in the commercial arena. The implementation of OGC standards by the largest GIS vendor (ESRI) was reviewed. At present, OGC standards are primary useful in specific situations. More generally, many of the standards are immature and their impact on the government and commercial sectors is unclear. Consequently, OGC and related developments need to be observed. As specific standards or groups of standards mature and establish their relevance, these can also be incorporated in LLNL programs as requirements dictate, especially if open implementations and commercial products are available.

  15. High performance geospatial and climate data visualization using GeoJS

    NASA Astrophysics Data System (ADS)

    Chaudhary, A.; Beezley, J. D.

    2015-12-01

    GeoJS (https://github.com/OpenGeoscience/geojs) is an open-source library developed to support interactive scientific and geospatial visualization of climate and earth science datasets in a web environment. GeoJS has a convenient application programming interface (API) that enables users to harness the fast performance of WebGL and Canvas 2D APIs with sophisticated Scalable Vector Graphics (SVG) features in a consistent and convenient manner. We started the project in response to the need for an open-source JavaScript library that can combine traditional geographic information systems (GIS) and scientific visualization on the web. Many libraries, some of which are open source, support mapping or other GIS capabilities, but lack the features required to visualize scientific and other geospatial datasets. For instance, such libraries are not be capable of rendering climate plots from NetCDF files, and some libraries are limited in regards to geoinformatics (infovis in a geospatial environment). While libraries such as d3.js are extremely powerful for these kinds of plots, in order to integrate them into other GIS libraries, the construction of geoinformatics visualizations must be completed manually and separately, or the code must somehow be mixed in an unintuitive way.We developed GeoJS with the following motivations:• To create an open-source geovisualization and GIS library that combines scientific visualization with GIS and informatics• To develop an extensible library that can combine data from multiple sources and render them using multiple backends• To build a library that works well with existing scientific visualizations tools such as VTKWe have successfully deployed GeoJS-based applications for multiple domains across various projects. The ClimatePipes project funded by the Department of Energy, for example, used GeoJS to visualize NetCDF datasets from climate data archives. Other projects built visualizations using GeoJS for interactively exploring

  16. A big data geospatial analytics platform - Physical Analytics Integrated Repository and Services (PAIRS)

    NASA Astrophysics Data System (ADS)

    Hamann, H.; Jimenez Marianno, F.; Klein, L.; Albrecht, C.; Freitag, M.; Hinds, N.; Lu, S.

    2015-12-01

    A big data geospatial analytics platform:Physical Analytics Information Repository and Services (PAIRS)Fernando Marianno, Levente Klein, Siyuan Lu, Conrad Albrecht, Marcus Freitag, Nigel Hinds, Hendrik HamannIBM TJ Watson Research Center, Yorktown Heights, NY 10598A major challenge in leveraging big geospatial data sets is the ability to quickly integrate multiple data sources into physical and statistical models and be run these models in real time. A geospatial data platform called Physical Analytics Information and Services (PAIRS) is developed on top of open source hardware and software stack to manage Terabyte of data. A new data interpolation and re gridding is implemented where any geospatial data layers can be associated with a set of global grid where the grid resolutions is doubling for consecutive layers. Each pixel on the PAIRS grid have an index that is a combination of locations and time stamp. The indexing allow quick access to data sets that are part of a global data layers and allowing to retrieve only the data of interest. PAIRS takes advantages of parallel processing framework (Hadoop) in a cloud environment to digest, curate, and analyze the data sets while being very robust and stable. The data is stored on a distributed no-SQL database (Hbase) across multiple server, data upload and retrieval is parallelized where the original analytics task is broken up is smaller areas/volume, analyzed independently, and then reassembled for the original geographical area. The differentiating aspect of PAIRS is the ability to accelerate model development across large geographical regions and spatial resolution ranging from 0.1 m up to hundreds of kilometer. System performance is benchmarked on real time automated data ingestion and retrieval of Modis and Landsat data layers. The data layers are curated for sensor error, verified for correctness, and analyzed statistically to detect local anomalies. Multi-layer query enable PAIRS to filter different data

  17. Geospatial and Temporal Analysis of Thyroid Cancer Incidence in a Rural Population

    PubMed Central

    Hanley, John P.; Jackson, Erin; Morrissey, Leslie A.; Rizzo, Donna M.; Sprague, Brian L.; Sarkar, Indra Neil

    2015-01-01

    Background: The increasing incidence of thyroid cancer has resulted in the rate tripling over the past 30 years. Reasons for this increase have not been established. Geostatistics and geographic information system (GIS) tools have emerged as powerful geospatial technologies to identify disease clusters, map patterns and trends, and assess the impact of ecological and socioeconomic factors (SES) on the spatial distribution of diseases. In this study, these tools were used to analyze thyroid cancer incidence in a rural population. Methods: Thyroid cancer incidence and socio-demographic factors in Vermont (VT), United States, between 1994 and 2007 were analyzed by logistic regression and geospatial and temporal analyses. Results: The thyroid cancer age-adjusted incidence in Vermont (8.0 per 100,000) was comparable to the national level (8.4 per 100,000), as were the ratio of the incidence of females to males (3.1:1) and the mortality rate (0.5 per 100,000). However, the estimated annual percentage change was higher (8.3 VT; 5.7 U.S.). Incidence among females peaked at 30–59 years of age, reflecting a significant rise from 1994 to 2007, while incidence trends for males did not vary significantly by age. For both females and males, the distribution of tumors by size did not vary over time; ≤1.0 cm, 1.1–2.0 cm, and >2.0 cm represented 38%, 22%, and 40%, respectively. In females, papillary thyroid cancer (PTC) accounted for 89% of cases, follicular (FTC) 8%, medullary (MTC) 2%, and anaplastic (ATC) 0.6%, while in males PTC accounted for 77% of cases, FTC 15%, MTC 1%, and ATC 3%. Geospatial analysis revealed locations and spatial patterns that, when combined with multivariate incidence analyses, indicated that factors other than increased surveillance and access to healthcare (physician density or insurance) contributed to the increased thyroid cancer incidence. Nine thyroid cancer incidence hot spots, areas with very high normalized incidence, were identified

  18. Ottawa's urban forest: A geospatial approach to data collection for the UFORE/i-Tree Eco ecosystem services valuation model

    NASA Astrophysics Data System (ADS)

    Palmer, Michael D.

    The i-Tree Eco model, developed by the U.S. Forest Service, is commonly used to estimate the value of the urban forest and the ecosystem services trees provide. The model relies on field-based measurements to estimate ecosystem service values. However, the methods for collecting the field data required for the model can be extensive and costly for large areas, and data collection can thus be a barrier to implementing the model for many cities. This study investigated the use of geospatial technologies as a means to collect urban forest structure measurements within the City of Ottawa, Ontario. Results show that geospatial data collection methods can serve as a proxy for urban forest structure parameters required by i-Tree Eco. Valuations using the geospatial approach are shown to be less accurate than those developed from field-based data, but significantly less expensive. Planners must weigh the limitations of either approach when planning assessment projects.

  19. Using Place-Based Independent Class Projects as a Means to Hone Research Skills and Prepare a Future Geospatial Workforce

    NASA Astrophysics Data System (ADS)

    Prakash, A.; Gens, R.; Cristobal, J.; Waigl, C. F.; Balazs, M. S.; Graham, P. R.; Butcher, C. E.; Sparrow, E. B.

    2015-12-01

    It is never too early to bring in your own research into teaching. Considerable efforts have been made globally to introduce STEM research themes in K12 environments. These efforts a laudable as they help to create STEM identity in students and get students excited to pursue higher education. The task of a post-secondary educator is to build on that excitement and ensure that the students who enter higher education come out knowledgeable, skilled, and employable. At the University of Alaska Fairbanks we have structured our geospatial curricula to include place-based, independent research projects in several semester-long classes. These class-projects serve as mini capstone research experiences that take a student through the entire process of research including: identifying a problem or need; building a hypothesis; formulating the science question; searching, acquiring, and processing data; analyzing and interpreting the research results; and presenting the outcomes in written and oral format to a peer group. Over a decade of experience has shown that students tend to engage and perform well when the research addresses an authentic problem they can relate to and take ownership of. Over 150 student-lead class projects using a variety of freely available datasets have contributed not only to preparing the future workforce, but also to enhancing the research profile of UAF. We extended the same model to a summer internship program where graduate students who have gone through the experience of an in-class research project serve as mentors for undergraduate interns. Even the condensed time frame yields positive outcomes including joint publications between faculty, staff, graduate students and undergraduate students in the peer-reviewed literature.

  20. Integrating geospatial data and cropping system simulation within a geographic information system to analyze spatial seed cotton yield, water use, and irrigation requirements

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The development of sensors that provide geospatial information on crop and soil conditions has been a primary success for precision agriculture. However, further developments are needed to integrate geospatial data into computer algorithms that spatially optimize crop production while considering po...

  1. An Automated End-To Multi-Agent Qos Based Architecture for Selection of Geospatial Web Services

    NASA Astrophysics Data System (ADS)

    Shah, M.; Verma, Y.; Nandakumar, R.

    2012-07-01

    Over the past decade, Service-Oriented Architecture (SOA) and Web services have gained wide popularity and acceptance from researchers and industries all over the world. SOA makes it easy to build business applications with common services, and it provides like: reduced integration expense, better asset reuse, higher business agility, and reduction of business risk. Building of framework for acquiring useful geospatial information for potential users is a crucial problem faced by the GIS domain. Geospatial Web services solve this problem. With the help of web service technology, geospatial web services can provide useful geospatial information to potential users in a better way than traditional geographic information system (GIS). A geospatial Web service is a modular application designed to enable the discovery, access, and chaining of geospatial information and services across the web that are often both computation and data-intensive that involve diverse sources of data and complex processing functions. With the proliferation of web services published over the internet, multiple web services may provide similar functionality, but with different non-functional properties. Thus, Quality of Service (QoS) offers a metric to differentiate the services and their service providers. In a quality-driven selection of web services, it is important to consider non-functional properties of the web service so as to satisfy the constraints or requirements of the end users. The main intent of this paper is to build an automated end-to-end multi-agent based solution to provide the best-fit web service to service requester based on QoS.

  2. A geospatial reference framework for a university campus: a case study for managing student surveyed topographic data

    NASA Astrophysics Data System (ADS)

    Fraser, D.; Sepehr, S.; Stefanakis, E.

    2014-11-01

    This presentation describes a geospatial reference framework for managing student surveyed topographic data of a university campus. This topographic data is collected annually by Geodesy and Geomatics Engineering (GGE) students at the University of New Brunswick (UNB) as part of the requirements for a UNB course. Examples of the type of features collected include: buildings, roads, sidewalks, walking paths, bike racks, parking lots and parking designation (e.g. accessibility parking). The applications and the information products built for managing this student surveyed topographic data can be viewed as a geospatial reference framework for this GGE survey camp.

  3. Integrated Geospatial Education and Technology Training (iGETT) for Workforce Development

    NASA Astrophysics Data System (ADS)

    Allen, J. E.; Johnson, A.; Headley, R. K.

    2009-12-01

    The increasing availability of no-cost remote sensing data and improvements in analysis software have presented an unprecedented opportunity for the integration of geospatial technologies into a wide variety of disciplines for learning and teaching at community colleges and Tribal colleges. These technologies magnify the effectiveness of problem solving in agriculture, disaster management, environmental sciences, urbanization monitoring, and multiple other domains for societal benefit. This session will demonstrate the approach and lessons learned by federal and private industry partners leading a professional development program, “Integrated Geospatial Education and Technology Training” (iGETT; http://igett.delmar.edu), 2007-2010. iGETT is funded by the National Science Foundation’s Advanced Technological Education Program, (NSF DUE 0703185). 40 participants were selected from a nationwide pool and received training in how to understand, identify, download, and integrate federal land remote sensing data into existing Geographic Information Systems programs to address specific issues of concern to the local workforce. Each participant has authored a “Learning Unit” that covers at least two weeks of class time. All training resources and Learning Units are publicly available on the iGETT Web site. A follow-on project is under consideration to develop core competencies for the remote sensing technician. Authors: Jeannie Allen, Sigma Space Corp. for NASA Landsat, at Goddard Space Flight Center; Ann Johnson, ESRI Higher Education; Rachel Headley, USGS EROS Land Remote Sensing Program

  4. Analyzing Personal Happiness from Global Survey and Weather Data: A Geospatial Approach.

    PubMed

    Peng, Yi-Fan; Tang, Jia-Hong; Fu, Yang-chih; Fan, I-chun; Hor, Maw-Kae; Chan, Ta-Chien

    2016-01-01

    Past studies have shown that personal subjective happiness is associated with various macro- and micro-level background factors, including environmental conditions, such as weather and the economic situation, and personal health behaviors, such as smoking and exercise. We contribute to this literature of happiness studies by using a geospatial approach to examine both macro and micro links to personal happiness. Our geospatial approach incorporates two major global datasets: representative national survey data from the International Social Survey Program (ISSP) and corresponding world weather data from the National Oceanic and Atmospheric Administration (NOAA). After processing and filtering 55,081 records of ISSP 2011 survey data from 32 countries, we extracted 5,420 records from China and 25,441 records from 28 other countries. Sensitivity analyses of different intervals for average weather variables showed that macro-level conditions, including temperature, wind speed, elevation, and GDP, are positively correlated with happiness. To distinguish the effects of weather conditions on happiness in different seasons, we also adopted climate zone and seasonal variables. The micro-level analysis indicated that better health status and eating more vegetables or fruits are highly associated with happiness. Never engaging in physical activity appears to make people less happy. The findings suggest that weather conditions, economic situations, and personal health behaviors are all correlated with levels of happiness.

  5. KML Tours: A New Platform for Exploring and Sharing Geospatial Data

    NASA Astrophysics Data System (ADS)

    Barcay, D. P.; Weiss-Malik, M.

    2009-12-01

    Google Earth and other virtual globes have allowed millions of people to explore the world from their own home. This technology has also raised the bar for professional visualizations: enabling interactive 3D visualizations to be created from massive data-sets, and shared using the KML language. For academics and professionals alike, an engaging presentation of your geospatial data is generally expected and can be the most effective form of advertisement. To that end, we released 'Touring' in Google Earth 5.0: a new medium for cinematic expression, visualized in Google Earth and written as extensions to the KML language. In a KML tour, the author has fine-grained control over the entire visual experience: precisely moving the virtual camera through the world while dynamically modifying the content, style, position, and visibility of the displayed data. An author can synchronize audio to this experience, bringing further immersion to a visualization. KML tours can help engage a broad user-base and conveying subtle concepts that aren't immediately apparent in traditional geospatial content. Unlike a pre-rendered video, a KML Tour maintains the rich interactivity of Google Earth, allowing users to continue exploring your content, and to mash-up other content with your visualization. This session will include conceptual explanations of the Touring feature in Google Earth, the structure of the touring KML extensions, as well as examples of compelling tours.

  6. Monitoring of In-Field Variability for Site Specific Crop Management Through Open Geospatial Information

    NASA Astrophysics Data System (ADS)

    Řezník, T.; Lukas, V.; Charvát, K.; Charvát, K., Jr.; Horáková, Š.; Křivánek, Z.; Herman, L.

    2016-06-01

    The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc. This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1'284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.

  7. Newspaper archives + text mining = rich sources of historical geo-spatial data

    NASA Astrophysics Data System (ADS)

    Yzaguirre, A.; Smit, M.; Warren, R.

    2016-04-01

    Newspaper archives are rich sources of cultural, social, and historical information. These archives, even when digitized, are typically unstructured and organized by date rather than by subject or location, and require substantial manual effort to analyze. The effort of journalists to be accurate and precise means that there is often rich geo-spatial data embedded in the text, alongside text describing events that editors considered to be of sufficient importance to the region or the world to merit column inches. A regional newspaper can add over 100,000 articles to its database each year, and extracting information from this data for even a single country would pose a substantial Big Data challenge. In this paper, we describe a pilot study on the construction of a database of historical flood events (location(s), date, cause, magnitude) to be used in flood assessment projects, for example to calibrate models, estimate frequency, establish high water marks, or plan for future events in contexts ranging from urban planning to climate change adaptation. We then present a vision for extracting and using the rich geospatial data available in unstructured text archives, and suggest future avenues of research.

  8. OpenClimateGIS - A Web Service Providing Climate Model Data in Commonly Used Geospatial Formats

    NASA Astrophysics Data System (ADS)

    Erickson, T. A.; Koziol, B. W.; Rood, R. B.

    2011-12-01

    The goal of the OpenClimateGIS project is to make climate model datasets readily available in commonly used, modern geospatial formats used by GIS software, browser-based mapping tools, and virtual globes.The climate modeling community typically stores climate data in multidimensional gridded formats capable of efficiently storing large volumes of data (such as netCDF, grib) while the geospatial community typically uses flexible vector and raster formats that are capable of storing small volumes of data (relative to the multidimensional gridded formats). OpenClimateGIS seeks to address this difference in data formats by clipping climate data to user-specified vector geometries (i.e. areas of interest) and translating the gridded data on-the-fly into multiple vector formats. The OpenClimateGIS system does not store climate data archives locally, but rather works in conjunction with external climate archives that expose climate data via the OPeNDAP protocol. OpenClimateGIS provides a RESTful API web service for accessing climate data resources via HTTP, allowing a wide range of applications to access the climate data.The OpenClimateGIS system has been developed using open source development practices and the source code is publicly available. The project integrates libraries from several other open source projects (including Django, PostGIS, numpy, Shapely, and netcdf4-python).OpenClimateGIS development is supported by a grant from NOAA's Climate Program Office.

  9. Analyzing Personal Happiness from Global Survey and Weather Data: A Geospatial Approach

    PubMed Central

    Peng, Yi-Fan; Tang, Jia-Hong; Fu, Yang-chih; Fan, I-chun; Hor, Maw-Kae; Chan, Ta-Chien

    2016-01-01

    Past studies have shown that personal subjective happiness is associated with various macro- and micro-level background factors, including environmental conditions, such as weather and the economic situation, and personal health behaviors, such as smoking and exercise. We contribute to this literature of happiness studies by using a geospatial approach to examine both macro and micro links to personal happiness. Our geospatial approach incorporates two major global datasets: representative national survey data from the International Social Survey Program (ISSP) and corresponding world weather data from the National Oceanic and Atmospheric Administration (NOAA). After processing and filtering 55,081 records of ISSP 2011 survey data from 32 countries, we extracted 5,420 records from China and 25,441 records from 28 other countries. Sensitivity analyses of different intervals for average weather variables showed that macro-level conditions, including temperature, wind speed, elevation, and GDP, are positively correlated with happiness. To distinguish the effects of weather conditions on happiness in different seasons, we also adopted climate zone and seasonal variables. The micro-level analysis indicated that better health status and eating more vegetables or fruits are highly associated with happiness. Never engaging in physical activity appears to make people less happy. The findings suggest that weather conditions, economic situations, and personal health behaviors are all correlated with levels of happiness. PMID:27078263

  10. Illustrating Latin American Geology With Free Geospatial Data Obtained Through the Internet

    NASA Astrophysics Data System (ADS)

    Abolins, M. J.; Cole, L.; Estep, T.; Collins, L.; Travers, L.

    2006-12-01

    Geoscience educators can use images from global geospatial data archives to illustrate the geology of any part of the world. For example, Middle Tennessee State University (MTSU) Geosciences faculty and students used free geospatial data obtained through the internet to prepare illustrations for a "Geology for Teachers" course to be taught in Costa Rica during Summer 2007. MTSU geoscientists downloaded data with the freeware Multi-protocol Geoinformation Client (MPGC) developed by the NASA Earth Observing System Higher-Education Alliance ("GeoBrain"). MTSU geoscientists used MPGC to download images from the Jet Propulsion Laboratory World Map Service and the Integrated Committee on Earth Observing Satellites (CEOS) European Data Server. These images were derived from Shuttle Radar Topography Mapping (SRTM), Blue Marble Next Generation (BMNG), Defense Meteorological Satellite Mapping (DMSP) and Moderate Resolution Imaging Spectroradiometer (MODIS) data. MTSU geoscientists also downloaded SRTM data through the U.S. Geological Survey Seamless Data Distribution System, and they downloaded bathymetry through the University of California, San Diego's Satellite Geodesy web site. After downloading the data, MTSU geoscientists used Environmental Systems Research Institute (ESRI) software to prepare the illustrations. Features visible on illustrations include the geomorphic regions of Costa Rica, the Middle America Trench off Costa Rica's Pacific Coast, faults, active volcanoes and human settlements. With data downloaded through MPGC and the other internet data sources listed above, geoscientists can illustrate the geology of any part of Latin America.

  11. Operational Marine Data Acquisition and Delivery Powered by Web and Geospatial Standards

    NASA Astrophysics Data System (ADS)

    Thomas, R.; Buck, J. J. H.

    2015-12-01

    As novel sensor types and new platforms are deployed to monitor the global oceans, the volumes of scientific and environmental data collected in the marine context are rapidly growing. In order to use these data in both the traditional operational modes and in innovative "Big Data" applications the data must be readily understood by software agents. One approach to achieving this is the application of both World Wide Web and Open Geospatial Consortium standards: namely Linked Data1 and Sensor Web Enablement2 (SWE). The British Oceanographic Data Centre (BODC) is adopting this strategy in a number of European Commission funded projects (NETMAR; SenseOCEAN; Ocean Data Interoperability Platform - ODIP; and AtlantOS) to combine its existing data archiving architecture with SWE components (such as Sensor Observation Services) and a Linked Data interface. These will evolve the data management and data transfer from a process that requires significant manual intervention to an automated operational process enabling the rapid, standards-based, ingestion and delivery of data. This poster will show the current capabilities of BODC and the status of on-going implementation of this strategy. References1. World Wide Web Consortium. (2013). Linked Data. Available:http://www.w3.org/standards/semanticweb/data. Last accessed 7th April 20152. Open Geospatial Consortium. (2014). Sensor Web Enablement (SWE). Available:http://www.opengeospatial.org/ogc/markets-technologies/swe. Last accessed 8th October 2014

  12. Estimating Depth and Producing Formations of Abandoned Oil and Gas Wells Using Geospatial Analysis

    NASA Astrophysics Data System (ADS)

    Christian, S.; Kang, M.; Celia, M. A.; Maloof, A. C.; Mauzerall, D. L.

    2015-12-01

    More than three million abandoned oil and gas wells exist in the U.S., and information on many of these wells are lost. Recent measurements of 93 abandoned wells in Pennsylvania show that they may be a significant source of methane emissions to the atmosphere. Data such as depth and producing formation of 98% of these measured wells are unavailable. Information on the likely depth of the well and the formation, from which the well likely produced from, is important when evaluating the wells' potential to emit methane and/or to contaminate overlying aquifers, and when developing mitigation strategies. We use geospatial analysis that combines available public databases from the Pennsylvania Department of Environmental Protection and historic documents to determine the likely depth and formation from which the measured abandoned wells produced. We develop a framework to systematically evaluate the nearest well, pool, and field attributes and assign depth and producing formation to the measured wells based on how well these attributes match. We then use this information to perform a cost analysis for plugging based on well depth for Pennsylvania. The geospatial analysis framework presented here for determining abandoned well properties can be valuable for future field measurement designs, upscaling methane emissions, and mitigating abandoned wells in Pennsylvania but also the many other states with a long history of oil and gas production.

  13. Spectral Color Indices Based Geospatial Modeling of Soil Organic Matter in Chitwan District, Nepal

    NASA Astrophysics Data System (ADS)

    Mandal, Umesh K.

    2016-06-01

    Space Technology provides a resourceful-cost effective means to assess soil nutrients essential for soil management plan. Soil organic matter (SOM) is one of valuable controlling productivity of crops by providing nutrient in farming systems. Geospatial modeling of soil organic matter is essential if there is unavailability of soil test laboratories and its strong spatial correlation. In the present analysis, soil organic matter is modeled from satellite image derived spectral color indices. Brightness Index (BI), Coloration Index (CI), Hue Index (HI), Redness Index (RI) and Saturation Index (SI) were calculated by converting DN value to radiance and radiance to reflectance from Thematic Mapper image. Geospatial model was developed by regressing SOM with color indices and producing multiple regression model using stepwise regression technique. The multiple regression equation between SOM and spectral indices was significant with R = 0. 56 at 95% confidence level. The resulting MLR equation was then used for the spatial prediction for the entire study area. Redness Index was found higher significance in estimating the SOM. It was used to predict SOM as auxiliary variables using cokringing spatial interpolation technique. It was tested in seven VDCs of Chitwan district of Nepal using Thematic Mapper remotely sensed data. SOM was found to be measured ranging from 0.15% to 4.75 %, with a mean of 2.24 %. Remotely sensed data derived spectral color indices have the potential as useful auxiliary variables for estimating SOM content to generate soil fertility management plans.

  14. I Want It, You've Got It - Effectively Connect Users to Geospatial Resources

    NASA Astrophysics Data System (ADS)

    White, C. E.

    2012-12-01

    How do users of scientific data find what they need? How do they know where to look, what to look for, how to evaluate, and - if they find the right resource - then how to get it? When the data is of a geospatial nature, other factors also come into play - is the data in a format/projection compatible with other data being used, does the user have access to tools that can analyze and display the data to adequately evaluate it, and does the user have knowledge on how to manage that access - especially if the data is being exposed by web services. Supporting users to connect them to geospatial data in a continually evolving technological climate is a challenge that reaches deeply into all levels of data management. In this talk, we will discuss specific challenges in how users discover and access resources, and how Esri has evolved solutions over time to more effectively connect users to what they need. Some of the challenges - and current solutions - that will be discussed are: balancing a straightforward user experience with rich functionality, providing simple descriptions while maintaining complete metadata, enabling data access to work with an organization's content while being compatible with other organizations' access mechanisms, and the ability to publish data once yet share it in many venues.

  15. Increasing Diversity in Geosciences: Geospatial Initiatives at North Carolina Central University

    NASA Astrophysics Data System (ADS)

    Vlahovic, G.; Malhotra, R.; Renslow, M.; Harris, J.; Barnett, A.

    2006-12-01

    Two new initiatives funded by the NSF-GEO and NSF-HRD directorates have potential to advance the geospatial program at the North Carolina Central University (NCCU). As one of only two Historically Black Colleges and Universities (HBCUs) in the southeast offering Geography as a major, NCCU is establishing a GIS Research, Innovative Teaching, and Service (GRITS) Laboratory and has partnered with American Society for Photogrammetry and Remote Sensing (ASPRS) to offer GIS certification to Geography graduates. This presentation will focus on the role that GRITS and GIS certification will play in attracting students to the geoscience majors, the planned curriculum changes, and the emerging partnership with ASPRS to develop and offer "provisional certification" to NCCU students. In addition, authors would also like to describe plans to promote geospatial education in partnership with other educational institutions. NCCUs high minority enrollment (at the present approximately 90%) and quality and tradition of geoscience program make it an ideal incubator for accreditation and certification activities and possible role model for other HBCUs.

  16. WCPS: An Open Geospatial Consortium Standard Applied to Flight Hardware/Software

    NASA Astrophysics Data System (ADS)

    Cappelaere, P. G.; Mandl, D.; Stanley, J.; Frye, S.; Baumann, P.

    2009-12-01

    The Open GeoSpatial Consortium Web Coverage Processing Service (WCPS) has the potential to allow advanced users to define processing algorithms using the web environment and seamlessly provide the capability to upload them directly to the satellite for autonomous execution using smart agent technology. The Open Geospatial Consortium recently announced the adoption of a specification for a Web Coverage Processing Service on Mar 25, 2009. This effort has been spearheaded by Dr. Peter Baumann, Jacobs University, Bremen, Germany. The WCPS specifies a coverage processing language allowing clients to send processing requests for evaluation to a server. NASA has been taking the next step by wrapping the user-defined requests into dynamic agents that can be uploaded to a spacecraft for onboard processing. This could have a dramatic impact to the new decadal missions such as HyspIRI. Dynamic onboard classifiers are key to providing level 2 products in near-realtime directly to end-users on the ground. This capability, currently implemented on the Hyspiri pathfinder testbed using the NASA SpaceCube, will be demonstrated on EO-1, a NASA Hyperspectral/Multispectral imager, as the next capability for agile autonomous science experiments.

  17. Towards an open geospatial service architecture supporting heterogeneous Earth observation missions

    NASA Astrophysics Data System (ADS)

    Usländer, Thomas; Marchetti, Pier Giorgio; Coene, Yves

    2011-11-01

    Heterogeneous Earth Observation missions pose the problem that each of them offers its own way and technology of how to search for and access to mission results such as Earth observation datasets. Typically, these tasks are provided by ground segment software services which may be called through corresponding interfaces by client geospatial software applications. This paper presents the design and the architecture of the Heterogeneous Mission Accessibility (HMA) which is an interoperability initiative of the European/Canadian Ground Segment Coordination Body. The final objective of HMA is to leverage the idea of a service-oriented architectural style. This means, that the individual ground segment systems shall be loosely-coupled by means of an HMA Service Network. The paper is an excerpt of the comprehensive "HMA cookbook" to be published soon by the European Space Agency (ESA). It describes the HMA approach for user authentication and authorization based upon standard Web services and the discovery of, the access to and the presentation of datasets by means of Open Geospatial Consortium (OGC) standards. It is outlined how the feasibility analysis of sensor observation tasks and the ordering of products may be expressed by the service and information models of the OGC Sensor Web Enablement initiative. The paper concludes with a discussion about the follow-on research topic of service-oriented design of Earth observation applications.

  18. New method adaptive to geospatial information acquisition and share based on grid

    NASA Astrophysics Data System (ADS)

    Fu, Yingchun; Yuan, Xiuxiao

    2005-11-01

    As we all know, it is difficult and time-consuming to acquire and share multi-source geospatial information in grid computing environment, especially for the data of different geo-reference benchmark. Although middleware for data format transformation has been applied by many grid applications and GIS software systems, it remains difficult to on demand realize spatial data assembly jobs among various geo-reference benchmarks because of complex computation of rigorous coordinate transformation model. To address the problem, an efficient hierarchical quadtree structure referred as multi-level grids is designed and coded to express the multi-scale global geo-space. The geospatial objects located in a certain grid of multi-level grids may be expressed as an increment value which is relative to the grid central point and is constant in different geo-reference benchmark. A mediator responsible for geo-reference transformation function with multi-level grids has been developed and aligned with grid service. With help of the mediator, a map or query spatial data sets from individual source of different geo-references can be merged into an uniform composite result. Instead of complex data pre-processing prior to compatible spatial integration, the introduced method is adaptive to be integrated with grid-enable service.

  19. Multi-class geospatial object detection and geographic image classification based on collection of part detectors

    NASA Astrophysics Data System (ADS)

    Cheng, Gong; Han, Junwei; Zhou, Peicheng; Guo, Lei

    2014-12-01

    The rapid development of remote sensing technology has facilitated us the acquisition of remote sensing images with higher and higher spatial resolution, but how to automatically understand the image contents is still a big challenge. In this paper, we develop a practical and rotation-invariant framework for multi-class geospatial object detection and geographic image classification based on collection of part detectors (COPD). The COPD is composed of a set of representative and discriminative part detectors, where each part detector is a linear support vector machine (SVM) classifier used for the detection of objects or recurring spatial patterns within a certain range of orientation. Specifically, when performing multi-class geospatial object detection, we learn a set of seed-based part detectors where each part detector corresponds to a particular viewpoint of an object class, so the collection of them provides a solution for rotation-invariant detection of multi-class objects. When performing geographic image classification, we utilize a large number of pre-trained part detectors to discovery distinctive visual parts from images and use them as attributes to represent the images. Comprehensive evaluations on two remote sensing image databases and comparisons with some state-of-the-art approaches demonstrate the effectiveness and superiority of the developed framework.

  20. The Effectiveness of a Geospatial Technologies-Integrated Curriculum to Promote Climate Literacy

    NASA Astrophysics Data System (ADS)

    Anastasio, D. J.; Bodzin, A. M.; Peffer, T.; Sahagian, D. L.; Cirucci, L.

    2011-12-01

    This study examined the effectiveness of a geospatial technologies - integrated climate change curriculum (http://www.ei.lehigh.edu/eli/cc/) to promote climate literacy in an urban school district. Five 8th grade Earth and Space Science classes in an urban middle school (Bethlehem, Pennsylvania) consisting of three different ability level tracks participated in the study. Data gathering methods included pre/posttest assessments, daily classroom observations, daily teacher meetings, and examination of student produced artifacts. Data was gathered using a climate change literacy assessment instrument designed to measure students' climate change content knowledge. The items included distractors that address misunderstandings and knowledge deficits about climate change from the existing literature. Paired-sample t-test analyses were conducted to compare the pre- and post-test assessment results. The results of these analyses were used to compare overall gains as well as ability level track groups. Overall results regarding the use of the climate change curriculum showed significant improvement in urban middle school students' understanding of climate change concepts. Effect sizes were large (ES>0.8) and significant (p<0.001) for the entire assessment and for each ability level subgroup. Findings from classroom observations, assessments embedded in the curriculum, and the examination of all student artifacts revealed that the use of geospatial technologies enable middle school students to improve their knowledge of climate change and improve their spatial thinking and reasoning skills.

  1. WPS mediation: An approach to process geospatial data on different computing backends

    NASA Astrophysics Data System (ADS)

    Giuliani, Gregory; Nativi, Stefano; Lehmann, Anthony; Ray, Nicolas

    2012-10-01

    The OGC Web Processing Service (WPS) specification allows generating information by processing distributed geospatial data made available through Spatial Data Infrastructures (SDIs). However, current SDIs have limited analytical capacities and various problems emerge when trying to use them in data and computing-intensive domains such as environmental sciences. These problems are usually not or only partially solvable using single computing resources. Therefore, the Geographic Information (GI) community is trying to benefit from the superior storage and computing capabilities offered by distributed computing (e.g., Grids, Clouds) related methods and technologies. Currently, there is no commonly agreed approach to grid-enable WPS. No implementation allows one to seamlessly execute a geoprocessing calculation following user requirements on different computing backends, ranging from a stand-alone GIS server up to computer clusters and large Grid infrastructures. Considering this issue, this paper presents a proof of concept by mediating different geospatial and Grid software packages, and by proposing an extension of WPS specification through two optional parameters. The applicability of this approach will be demonstrated using a Normalized Difference Vegetation Index (NDVI) mediated WPS process, highlighting benefits, and issues that need to be further investigated to improve performances.

  2. An on-demand provision model for geospatial multisource information with active self-adaption services

    NASA Astrophysics Data System (ADS)

    Fan, Hong; Li, Huan

    2015-12-01

    Location-related data are playing an increasingly irreplaceable role in business, government and scientific research. At the same time, the amount and types of data are rapidly increasing. It is a challenge how to quickly find required information from this rapidly growing volume of data, as well as how to efficiently provide different levels of geospatial data to users. This paper puts forward a data-oriented access model for geographic information science data. First, we analyze the features of GIS data including traditional types such as vector and raster data and new types such as Volunteered Geographic Information (VGI). Taking into account these analyses, a classification scheme for geographic data is proposed and TRAFIE is introduced to describe the establishment of a multi-level model for geographic data. Based on this model, a multi-level, scalable access system for geospatial information is put forward. Users can select different levels of data according to their concrete application needs. Pull-based and push-based data access mechanisms based on this model are presented. A Service Oriented Architecture (SOA) was chosen for the data processing. The model of this study has been described by providing decision-making process of government departments with a simulation of fire disaster data collection. The use case shows this data model and the data provision system is flexible and has good adaptability.

  3. Exchanging the Context between OGC Geospatial Web clients and GIS applications using Atom

    NASA Astrophysics Data System (ADS)

    Maso, Joan; Díaz, Paula; Riverola, Anna; Pons, Xavier

    2013-04-01

    Currently, the discovery and sharing of geospatial information over the web still presents difficulties. News distribution through website content was simplified by the use of Really Simple Syndication (RSS) and Atom syndication formats. This communication exposes an extension of Atom to redistribute references to geospatial information in a Spatial Data Infrastructure distributed environment. A geospatial client can save the status of an application that involves several OGC services of different kind and direct data and share this status with other users that need the same information and use different client vendor products in an interoperable way. The extensibility of the Atom format was essential to define a format that could be used in RSS enabled web browser, Mass Market map viewers and emerging geospatial enable integrated clients that support Open Geospatial Consortium (OGC) services. Since OWS Context has been designed as an Atom extension, it is possible to see the document in common places where Atom documents are valid. Internet web browsers are able to present the document as a list of items with title, abstract, time, description and downloading features. OWS Context uses GeoRSS so that, the document can be to be interpreted by both Google maps and Bing Maps as items that have the extent represented in a dynamic map. Another way to explode a OWS Context is to develop an XSLT to transform the Atom feed into an HTML5 document that shows the exact status of the client view window that saved the context document. To accomplish so, we use the width and height of the client window, and the extent of the view in world (geographic) coordinates in order to calculate the scale of the map. Then, we can mix elements in world coordinates (such as CF-NetCDF files or GML) with elements in pixel coordinates (such as WMS maps, WMTS tiles and direct SVG content). A smarter map browser application called MiraMon Map Browser is able to write a context document and read

  4. EVALUATING HYDROLOGICAL RESPONSE TO FORECASTED LAND-USE CHANGE: SCENARIO TESTING WITH THE AUTOMATED GEOSPATIAL WATERSHED ASSESSMENT TOOL

    EPA Science Inventory

    It is currently possible to measure landscape change over large areas and determine trends in environmental condition using advanced space-based technologies accompanied by geospatial analyses of the remotely sensed data. There are numerous earth-observing satellite platforms fo...

  5. AUTOMATED GEOSPATIAL WATERSHED ASSESSMENT (AGWA): A GIS-BASED HYDROLOGICAL MODELING TOOL FOR WATERSHED MANAGEMENT AND LANDSCAPE ASSESSMENT

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment (http://www.epa.gov/nerlesd1/land-sci/agwa/introduction.htm and www.tucson.ars.ag.gov/agwa) tool is a GIS interface jointly developed by the U.S. Environmental Protection Agency, USDA-Agricultural Research Service, and the University ...

  6. Current trends in formats and coordinate transformations of geospatial data — based on MyGeoData Converter

    NASA Astrophysics Data System (ADS)

    Orlik, Antonin; Orlikova, Lucie

    2014-09-01

    With the rise in the number of applications using geospatial data and the number of GIS applications, the number of people who come into contact with geospatial data is increasing, too. Despite many attempts to introduce standardized formats in this area, they are often ignored by software developers as well as the users themselves for various reasons. When creating or exporting geographical data, users choose the format with regard to the software they use, or for which the data are intended. Users then have to deal with conversion of data formats, and considering its use also the issue of their transformation to the appropriate spatial reference system. This work presents findings related to this issue, obtained from several years of operation of an online service for the conversion and transformation of geographical data which is heavily used by users from all over the world. It presents statistics of individual formats use and spatial reference systems of geospatial data use from the point of view of both input and output data. The results, besides other things, are shown in the form of a pie chart map in which various needs of users from a variety of countries can be seen. The results of this work can be used especially by developers of applications which use geospatial data; it will allow them to quickly understand current user needs.

  7. Exploring Local Level Factors Shaping the Implementation of a Blended Learning Module for Information and Geospatial Literacy in Ontario

    ERIC Educational Resources Information Center

    Vine, Michelle M.; Chiappetta-Swanson, Catherine; Maclachlan, John; Brodeur, Jason J.; Bagg, Julianne

    2016-01-01

    The objectives of this research study were to examine local level factors shaping the implementation of a blended pedagogical approach for geospatial- and information-literacy, and to understand implementer satisfaction. As such, we addressed the following research questions: What local-level factors shape the implementation of the blended…

  8. GIS and paleoanthropology: incorporating new approaches from the geospatial sciences in the analysis of primate and human evolution.

    PubMed

    Anemone, R L; Conroy, G C; Emerson, C W

    2011-01-01

    The incorporation of research tools and analytical approaches from the geospatial sciences is a welcome trend for the study of primate and human evolution. The use of remote sensing (RS) imagery and geographic information systems (GIS) allows vertebrate paleontologists, paleoanthropologists, and functional morphologists to study fossil localities, landscapes, and individual specimens in new and innovative ways that recognize and analyze the spatial nature of much paleoanthropological data. Whether one is interested in locating and mapping fossiliferous rock units in the field, creating a searchable and georeferenced database to catalog fossil localities and specimens, or studying the functional morphology of fossil teeth, bones, or artifacts, the new geospatial sciences provide an essential element in modern paleoanthropological inquiry. In this article we review recent successful applications of RS and GIS within paleoanthropology and related fields and argue for the importance of these methods for the study of human evolution in the twenty first century. We argue that the time has come for inclusion of geospatial specialists in all interdisciplinary field research in paleoanthropology, and suggest some promising areas of development and application of the methods of geospatial science to the science of human evolution.

  9. DATA-DRIVEN DISCOVERY OF TEMPORAL AND GEOSPATIAL PATTERNS OF DISEASE TRANSMISSION: WEST NILE VIRUS IN MARYLAND

    EPA Science Inventory

    The necessity of rapid response to a developing disease outbreak often precludes systematic investigation of the mechanisms and patterns (temporal and geospatial) of spread. In order to deploy the most rapid response possible, we must exploit existing data to its maximum extent....

  10. The Effectiveness of the Geospatial Curriculum Approach on Urban Middle-Level Students' Climate Change Understandings

    ERIC Educational Resources Information Center

    Bodzin, Alec M.; Fu, Qiong

    2014-01-01

    Climate change science is a challenging topic for student learning. This quantitative study examined the effectiveness of a geospatial curriculum approach to promote climate change science understandings in an urban school district with eighth-grade students and investigated whether teacher- and student-level factors accounted for students'…

  11. AUTOMATED GEOSPATIAL WATERSHED ASSESSMENT (AGWA): A GIS-BASED HYRDOLOGIC MODELING TOOL FOR WATERSHED ASSESSMENT AND ANALYSIS

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment tool (AGWA) is a GIS interface jointly

    developed by the USDA Agricultural Research Service, the U.S. Environmental Protection

    Agency, the University of Arizona, and the University of Wyoming to automate the

    parame...

  12. AUTOMATED GEOSPATIAL WATERSHED ASSESSMENT (AGWA): A GIS-BASED HYDROLOGIC MODELING TOOL FOR WATERSHED ASSESSMENT AND ANALYSIS

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment tool (AGWA) is a GIS interface jointly developed by the USDA Agricultural Research Service, the U.S. Environmental Protection Agency, the University of Arizona, and the University of Wyoming to automate the parameterization and execu...

  13. Investigating metrics of geospatial web services: The case of a CEOS federated catalog service for earth observation data

    NASA Astrophysics Data System (ADS)

    Han, Weiguo; Di, Liping; Yu, Genong; Shao, Yuanzheng; Kang, Lingjun

    2016-07-01

    Geospatial Web Services (GWS) make geospatial information and computing resources discoverable and accessible over the Web. Among them, Open Geospatial Consortium (OGC) standards-compliant data, catalog and processing services are most popular, and have been widely adopted and leveraged in geospatial research and applications. The GWS metrics, such as visit count, average processing time, and user distribution, are important to evaluate their overall performance and impacts. However, these metrics, especially of federated catalog service, have not been systematically evaluated and reported to relevant stakeholders from the point of view of service providers. Taking an integrated catalog service for earth observation data as an example, this paper describes metrics information retrieval, organization, and representation of a catalog service federation. An extensible and efficient log file analyzer is implemented to retrieve a variety of service metrics from the log file and store analysis results in an easily programmable format. An Ajax powered Web portal is built to provide stakeholders, sponsors, developers, partners, and other types of users with specific and relevant insights into metrics information in an interactive and informative form. The deployed system has provided useful information for periodical reports, service delivery, and decision support. The proposed measurement strategy and analytics framework can be a guidance to help GWS providers evaluate their services.

  14. Cloud computing geospatial application for water resources based on free and open source software and open standards - a prototype

    NASA Astrophysics Data System (ADS)

    Delipetrev, Blagoj

    2016-04-01

    Presently, most of the existing software is desktop-based, designed to work on a single computer, which represents a major limitation in many ways, starting from limited computer processing, storage power, accessibility, availability, etc. The only feasible solution lies in the web and cloud. This abstract presents research and development of a cloud computing geospatial application for water resources based on free and open source software and open standards using hybrid deployment model of public - private cloud, running on two separate virtual machines (VMs). The first one (VM1) is running on Amazon web services (AWS) and the second one (VM2) is running on a Xen cloud platform. The presented cloud application is developed using free and open source software, open standards and prototype code. The cloud application presents a framework how to develop specialized cloud geospatial application that needs only a web browser to be used. This cloud application is the ultimate collaboration geospatial platform because multiple users across the globe with internet connection and browser can jointly model geospatial objects, enter attribute data and information, execute algorithms, and visualize results. The presented cloud application is: available all the time, accessible from everywhere, it is scalable, works in a distributed computer environment, it creates a real-time multiuser collaboration platform, the programing languages code and components are interoperable, and it is flexible in including additional components. The cloud geospatial application is implemented as a specialized water resources application with three web services for 1) data infrastructure (DI), 2) support for water resources modelling (WRM), 3) user management. The web services are running on two VMs that are communicating over the internet providing services to users. The application was tested on the Zletovica river basin case study with concurrent multiple users. The application is a state

  15. GIS-and Web-based Water Resource Geospatial Infrastructure for Oil Shale Development

    SciTech Connect

    Zhou, Wei; Minnick, Matthew; Geza, Mengistu; Murray, Kyle; Mattson, Earl

    2012-09-30

    The Colorado School of Mines (CSM) was awarded a grant by the National Energy Technology Laboratory (NETL), Department of Energy (DOE) to conduct a research project en- titled GIS- and Web-based Water Resource Geospatial Infrastructure for Oil Shale Development in October of 2008. The ultimate goal of this research project is to develop a water resource geo-spatial infrastructure that serves as “baseline data” for creating solutions on water resource management and for supporting decisions making on oil shale resource development. The project came to the end on September 30, 2012. This final project report will report the key findings from the project activity, major accomplishments, and expected impacts of the research. At meantime, the gamma version (also known as Version 4.0) of the geodatabase as well as other various deliverables stored on digital storage media will be send to the program manager at NETL, DOE via express mail. The key findings from the project activity include the quantitative spatial and temporal distribution of the water resource throughout the Piceance Basin, water consumption with respect to oil shale production, and data gaps identified. Major accomplishments of this project include the creation of a relational geodatabase, automated data processing scripts (Matlab) for database link with surface water and geological model, ArcGIS Model for hydrogeologic data processing for groundwater model input, a 3D geological model, surface water/groundwater models, energy resource development systems model, as well as a web-based geo-spatial infrastructure for data exploration, visualization and dissemination. This research will have broad impacts of the devel- opment of the oil shale resources in the US. The geodatabase provides a “baseline” data for fur- ther study of the oil shale development and identification of further data collection needs. The 3D geological model provides better understanding through data interpolation and

  16. Geospatial analysis of emergency department visits for targeting community-based responses to the opioid epidemic

    PubMed Central

    Taylor, Lauren A.; Peak, David A.; Bearnot, Benjamin

    2017-01-01

    The opioid epidemic in the United States carries significant morbidity and mortality and requires a coordinated response among emergency providers, outpatient providers, public health departments, and communities. Anecdotally, providers across the spectrum of care at Massachusetts General Hospital (MGH) in Boston, MA have noticed that Charlestown, a community in northeast Boston, has been particularly impacted by the opioid epidemic and needs both emergency and longer-term resources. We hypothesized that geospatial analysis of the home addresses of patients presenting to the MGH emergency department (ED) with opioid-related emergencies might identify “hot spots” of opioid-related healthcare needs within Charlestown that could then be targeted for further investigation and resource deployment. Here, we present a geospatial analysis at the United States census tract level of the home addresses of all patients who presented to the MGH ED for opioid-related emergency visits between 7/1/2012 and 6/30/2015, including 191 visits from 100 addresses in Charlestown, MA. Among the six census tracts that comprise Charlestown, we find a 9.5-fold difference in opioid-related ED visits, with 45% of all opioid-related visits from Charlestown originating in tract 040401. The signal from this census tract remains strong after adjusting for population differences between census tracts, and while this tract is one of the higher utilizing census tracts in Charlestown of the MGH ED for all cause visits, it also has a 2.9-fold higher rate of opioid-related visits than the remainder of Charlestown. Identifying this hot spot of opioid-related emergency needs within Charlestown may help re-distribute existing resources efficiently, empower community and ED-based physicians to advocate for their patients, and serve as a catalyst for partnerships between MGH and local community groups. More broadly, this analysis demonstrates that EDs can use geospatial analysis to address the emergency

  17. Geospatial data infrastructure: The development of metadata for geo-information in China

    NASA Astrophysics Data System (ADS)

    Xu, Baiquan; Yan, Shiqiang; Wang, Qianju; Lian, Jian; Wu, Xiaoping; Ding, Keyong

    2014-03-01

    Stores of geoscience records are in constant flux. These stores are continually added to by new information, ideas and data, which are frequently revised. The geoscience record is in restrained by human thought and technology for handling information. Conventional methods strive, with limited success, to maintain geoscience records which are readily susceptible and renewable. The information system must adapt to the diversity of ideas and data in geoscience and their changes through time. In China, more than 400,000 types of important geological data are collected and produced in geological work during the last two decades, including oil, natural gas and marine data, mine exploration, geophysical, geochemical, remote sensing and important local geological survey and research reports. Numerous geospatial databases are formed and stored in National Geological Archives (NGA) with available formats of MapGIS, ArcGIS, ArcINFO, Metalfile, Raster, SQL Server, Access and JPEG. But there is no effective way to warrant that the quality of information is adequate in theory and practice for decision making. The need for fast, reliable, accurate and up-to-date information by providing the Geographic Information System (GIS) communities are becoming insistent for all geoinformation producers and users in China. Since 2010, a series of geoinformation projects have been carried out under the leadership of the Ministry of Land and Resources (MLR), including (1) Integration, update and maintenance of geoinformation databases; (2) Standards research on clusterization and industrialization of information services; (3) Platform construction of geological data sharing; (4) Construction of key borehole databases; (5) Product development of information services. "Nine-System" of the basic framework has been proposed for the development and improvement of the geospatial data infrastructure, which are focused on the construction of the cluster organization, cluster service, convergence

  18. Mining User spatiotemporal Behavior in Geospatial Cyberinfrastructure --using GEOSS Clearinghouse as an example

    NASA Astrophysics Data System (ADS)

    XIA, J.; Yang, C.; Liu, K.; Huang, Q.; Li, Z.

    2013-12-01

    Big Data becomes increasingly important in almost all scientific domains, especially in geoscience where hundreds to millions of sensors are collecting data of the Earth continuously (Whitehouse News 2012). With the explosive growth of data, various Geospatial Cyberinfrastructure (GCI) (Yang et al. 2010) components are developed to manage geospatial resources and provide data access for the public. These GCIs are accessed by different users intensively on a daily basis. However, little research has been done to analyze the spatiotemporal patterns of user behavior, which could be critical to the management of Big Data and the operation of GCIs (Yang et al. 2011). For example, the spatiotemporal distribution of end users helps us better arrange and locate GCI computing facilities. A better indexing and caching mechanism could be developed based on the spatiotemporal pattern of user queries. In this paper, we use GEOSS Clearinghouse as an example to investigate spatiotemporal patterns of user behavior in GCIs. The investigation results show that user behaviors are heterogeneous but with patterns across space and time. Identified patterns include (1) the high access frequency regions; (2) local interests; (3) periodical accesses and rush hours; (4) spiking access. Based on identified patterns, this presentation reports several solutions to better support the operation of the GEOSS Clearinghouse and other GCIs. Keywords: Big Data, EarthCube, CyberGIS, Spatiotemporal Thinking and Computing, Data Mining, User Behavior Reference: Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, P., & Uthurusamy, R. 1996. Advances in knowledge discovery and data mining. Whitehouse. 2012. Obama administration unveils 'BIG DATA' initiative: announces $200 million in new R&D investments. Whitehouse. Retrieved from http://www.whitehouse.gov/sites/default/files/microsites/ostp/big_data_press_release_final_2.pdf [Accessed 14 June 2013] Yang, C., Wu, H., Huang, Q., Li, Z., & Li, J. 2011. Using spatial

  19. Leveraging geospatial data, technology, and methods for improving the health of communities: priorities and strategies from an expert panel convened by the CDC.

    PubMed

    Elmore, Kim; Flanagan, Barry; Jones, Nicholas F; Heitgerd, Janet L

    2010-04-01

    In 2008, CDC convened an expert panel to gather input on the use of geospatial science in surveillance, research and program activities focused on CDC's Healthy Communities Goal. The panel suggested six priorities: spatially enable and strengthen public health surveillance infrastructure; develop metrics for geospatial categorization of community health and health inequity; evaluate the feasibility and validity of standard metrics of community health and health inequities; support and develop GIScience and geospatial analysis; provide geospatial capacity building, training and education; and, engage non-traditional partners. Following the meeting, the strategies and action items suggested by the expert panel were reviewed by a CDC subcommittee to determine priorities relative to ongoing CDC geospatial activities, recognizing that many activities may need to occur either in parallel, or occur multiple times across phases. Phase A of the action items centers on developing leadership support. Phase B focuses on developing internal and external capacity in both physical (e.g., software and hardware) and intellectual infrastructure. Phase C of the action items plan concerns the development and integration of geospatial methods. In summary, the panel members provided critical input to the development of CDC's strategic thinking on integrating geospatial methods and research issues across program efforts in support of its Healthy Communities Goal.

  20. State-of-the-art remote sensing geospatial technologies in support of transportation monitoring and management

    NASA Astrophysics Data System (ADS)

    Paska, Eva Petra

    The widespread use of digital technologies, combined with rapid sensor advancements resulted in a paradigm shift in geospatial technologies the end of the last millennium. The improved performance provided by the state-of-the-art airborne remote sensing technology created opportunities for new applications that require high spatial and temporal resolution data. Transportation activities represent a major segment of the economy in industrialized nations. As such both the transportation infrastructure and traffic must be carefully monitored and planned. Engineering scale topographic mapping has been a long-time geospatial data user, but the high resolution geospatial data could also be considered for vehicle extraction and velocity estimation to support traffic flow analysis. The objective of this dissertation is to provide an assessment on what state-of-the-art remote sensing technologies can offer in both areas: first, to further improve the accuracy and reliability of topographic, in particular, roadway corridor mapping systems, and second, to assess the feasibility of extracting primary data to support traffic flow computation. The discussion is concerned with airborne LiDAR (Light Detection And Ranging) and digital camera systems, supported by direct georeferencing. The review of the state-of-the-art remote sensing technologies is dedicated to address the special requirements of the two transportation applications of airborne remotely sensed data. The performance characteristics of the geospatial sensors and the overall error budget are discussed. The error analysis part is focused on the overall achievable point positioning accuracy performance of directly georeferenced remote sensing systems. The QA/QC (Quality Assurance/Quality Control) process is a challenge for any airborne direct georeferencing-based remote sensing system. A new method to support QA/QC is introduced that uses the road pavement markings to improve both sensor data accuracy as well as the

  1. Analyzing networks of static and dynamic geospatial entities for urban situational awareness

    NASA Astrophysics Data System (ADS)

    Sherrill, Delsey; Yee, Michael; Cho, Peter

    2009-05-01

    Motivated by the problem of uncovering networks of illicit actors in complex urban environments, we present a prototype system for intuitive navigation of vehicle track data via interacting map and network views. Our system combines 3D geospatial visualization, social network display and interactive track search software, and it provides a multi-touch interface for operators to navigate urban scenes and investigate potentially suspicious vehicle activity. We describe a case study to highlight the system's capabilities using ground truth vehicle data collected during a 2007 urban exercise. This data is most naturally viewed as tracks in space and time. But as cluttered track displays obscure potentially important actor relationships, our system provides a social network picture whose condensed format is easier to interpret. Through coordinated space-time/vehicle network searches, we demonstrate how analysts can uncover "Red" activities of tactical significance.

  2. Querying Uncertain Data in Geospatial Object-relational Databases Using SQL and Fuzzy Sets

    NASA Astrophysics Data System (ADS)

    Ďuračiová, R.

    2013-12-01

    This paper deals with uncertainty modeling in spatial object-relational databases by the use of Structured Query Language (SQL). The fundamental principles of uncertainty modeling by fuzzy sets are applied in the area of geographic information systems (GIS) and spatial databases. A spatial database system includes types of spatial data and implements the spatial extension of SQL. The implementation of the principles of fuzzy logic to spatial databases brings an opportunity for the efficient processing of uncertain data, which is important, especially when using various data sources (e.g., multi-criteria decision making (MCDM) on the basis of heterogeneous spatial data resources). The modeling and data processing of uncertainties are presented in relation to the applicable International Organization for Standardization (ISO) standards (standards of the series 19100 Geographic information) and the relevant specifications of the Open Geospatial Consortium (OGC). The fuzzy spatial query approach is applied and tested on a case study with a fundamental database for GIS in Slovakia.

  3. Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs

    DOE PAGES

    Stracuzzi, David John; Brost, Randolph C.; Phillips, Cynthia A.; ...

    2015-09-26

    Geospatial semantic graphs provide a robust foundation for representing and analyzing remote sensor data. In particular, they support a variety of pattern search operations that capture the spatial and temporal relationships among the objects and events in the data. However, in the presence of large data corpora, even a carefully constructed search query may return a large number of unintended matches. This work considers the problem of calculating a quality score for each match to the query, given that the underlying data are uncertain. As a result, we present a preliminary evaluation of three methods for determining both match qualitymore » scores and associated uncertainty bounds, illustrated in the context of an example based on overhead imagery data.« less

  4. Geospatial Based Information System Development in Public Administration for Sustainable Development and Planning in Urban Environment

    NASA Astrophysics Data System (ADS)

    Kouziokas, Georgios N.

    2016-09-01

    It is generally agreed that the governmental authorities should actively encourage the development of an efficient framework of information and communication technology initiatives so as to advance and promote sustainable development and planning strategies. This paper presents a prototype Information System for public administration which was designed to facilitate public management and decision making for sustainable development and planning. The system was developed by using several programming languages and programming tools and also a Database Management System (DBMS) for storing and managing urban data of many kinds. Furthermore, geographic information systems were incorporated into the system in order to make possible to the authorities to deal with issues of spatial nature such as spatial planning. The developed system provides a technology based management of geospatial information, environmental and crime data of urban environment aiming at improving public decision making and also at contributing to a more efficient sustainable development and planning.

  5. Geospatial Issues in Energy-Climate Modeling: Implications for Modelers, Economists, Climate Scientists and Policy Makers

    NASA Astrophysics Data System (ADS)

    Newmark, R. L.; Arent, D.; Sullivan, P.; Short, W.

    2010-12-01

    Accurate characterizations of renewable energy technologies, particularly wind, solar, geothermal, and biomass, require an increasingly sophisticated understanding of location-specific attributes, including generation or production costs and the cost of transmission or transportation to a point of use, and climate induced changes to the resource base. Capturing these site-specific characteristics in national and global models presents both unique opportunities and challenges. National and global decisions, ideally, should be informed by geospatially rich data and analysis. Here we describe issues related to and initial advances in representing renewable energy technologies in global models, and the resulting implications for climate stabilization analysis and global assessments, including IPCC’s Assessment Round 5 and IEA’s World Energy Outlook.

  6. Socio-economic Value Analysis in Geospatial and Earth Observation: A methodology review (Invited)

    NASA Astrophysics Data System (ADS)

    Coote, A. M.; Bernknopf, R.; Smart, A.

    2013-12-01

    Many industries have long since realised that applying macro-economic analysis methodologies to assess the socio-economic value of a programme is a critical step to convincing decision makers to authorise investment. The geospatial and earth observation industry has however been slow to embrace economic analysis. There are however a growing number of studies, published in the last few years, that have applied economic principles to this domain. They have adopted a variety of different approaches, including: - Computable General Equilibrium Modelling (CGE) - Revealed preference, stated preference (Willingness to Pay surveys) - Partial Analysis - Simulations - Cost-benefit analysis (with and without risk analysis) This paper will critically review these approaches and assess their applicability to different situations and to meet multiple objectives.

  7. Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs

    SciTech Connect

    Stracuzzi, David John; Brost, Randolph C.; Phillips, Cynthia A.; Robinson, David G.; Wilson, Alyson G.; Woodbridge, Diane M. -K.

    2015-09-26

    Geospatial semantic graphs provide a robust foundation for representing and analyzing remote sensor data. In particular, they support a variety of pattern search operations that capture the spatial and temporal relationships among the objects and events in the data. However, in the presence of large data corpora, even a carefully constructed search query may return a large number of unintended matches. This work considers the problem of calculating a quality score for each match to the query, given that the underlying data are uncertain. As a result, we present a preliminary evaluation of three methods for determining both match quality scores and associated uncertainty bounds, illustrated in the context of an example based on overhead imagery data.

  8. Neighborhood-Level LGBT Hate Crimes and Bullying Among Sexual Minority Youths: A Geospatial Analysis.

    PubMed

    Hatzenbuehler, Mark L; Duncan, Dustin; Johnson, Renee

    2015-01-01

    The goal of this study was to evaluate a novel measure of environmental risk factors for bullying among sexual minority youths. Data on lesbian, gay, bisexual, and transgender (LGBT) assault hate crimes were obtained from police records, geocoded, and then linked to individual-level data on bullying and sexual orientation from the 2008 Boston Youth Survey Geospatial Dataset (N = 1,292; 108 sexual minorities). Results indicated that sexual minority youths who reported relational and electronic bullying were more likely to reside in neighborhoods with higher LGBT assault hate crime rates. There was no asso- ciation between LGBT assault hate crimes and bullying among heterosexual youths, pro- viding evidence for specificity to sexual minority youth. Moreover, no relationships were observed between sexual minority bullying and neighborhood-level violent and property crimes, indicating that the results were specific to LGBT assault hate crimes.

  9. Fuzzy Logic-Supported Detection of Complex Geospatial Features in a Web Service Environment

    NASA Astrophysics Data System (ADS)

    He, L. L.; Di, L. P.; Yue, P.; Zhang, M. D.

    2013-10-01

    Spatial relations among simple features can be used to characterize complex geospatial features. These spatial relations are often represented using linguistic terms such as near, which have inherent vagueness and imprecision. Fuzzy logic can be used to modeling fuzziness of the terms. Once simple features are extracted from remote sensing imagery, degree of satisfaction of spatial relations among these simple features can be derived to detect complex features. The derivation process can be performed in a distributed service environment, which benefits Earth science society in the last decade. Workflow-based service can provide ondemand uncertainty-aware discovery of complex features in a distributed environment. A use case on the complex facility detection illustrates the applicability of the fuzzy logic-supported service-oriented approach.

  10. Optimizing sensor placement using predictive geospatial analytics, the physical environment, and surveillance constraints

    NASA Astrophysics Data System (ADS)

    Schmidt, Greg; Witham, Brandon; Valore, Jason; Holland, Ben; Dalton, Jason

    2012-06-01

    Military, police, and industrial surveillance operations could benefit from having sensors deployed in configurations that maximize collection capability. We describe a surveillance planning approach that optimizes sensor placements to collect information about targets of interest by using information from predictive geospatial analytics, the physical environment, and surveillance constraints. We designed a tool that accounts for multiple sensor aspects-collection footprints, groupings, and characteristics; multiple optimization objectives-surveillance requirements and predicted threats; and multiple constraints-sensing, physical environment (including terrain), and geographic surveillance constraints. The tool uses a discrete grid model to keep track of geographic sensing objectives and constraints, and from these, estimate probabilities for collection containment and detection. We devised an evolutionary algorithm and polynomial time approximation schemes (PTAS) to optimize the tool variables above to generate the positions and aspect for a network of sensors. We also designed algorithms to coordinate a mixture of sensors with different competing objectives, competing constraints, couplings, and proximity constraints.

  11. CELL5M: A geospatial database of agricultural indicators for Africa South of the Sahara

    PubMed Central

    Koo, Jawoo; Cox, Cindy M.; Bacou, Melanie; Azzarri, Carlo; Guo, Zhe; Wood-Sichra, Ulrike; Gong, Queenie; You, Liangzhi

    2016-01-01

    Recent progress in large-scale georeferenced data collection is widening opportunities for combining multi-disciplinary datasets from biophysical to socioeconomic domains, advancing our analytical and modeling capacity. Granular spatial datasets provide critical information necessary for decision makers to identify target areas, assess baseline conditions, prioritize investment options, set goals and targets and monitor impacts. However, key challenges in reconciling data across themes, scales and borders restrict our capacity to produce global and regional maps and time series. This paper provides overview, structure and coverage of CELL5M—an open-access database of geospatial indicators at 5 arc-minute grid resolution—and introduces a range of analytical applications and case-uses. CELL5M covers a wide set of agriculture-relevant domains for all countries in Africa South of the Sahara and supports our understanding of multi-dimensional spatial variability inherent in farming landscapes throughout the region. PMID:27853519

  12. Digital Geospatial Datasets in Support of Hydrologic Investigations of the Colorado Front Range Infrastructure Resources Project

    USGS Publications Warehouse

    Rafferty, Sharon A.; Arnold, L.R.; Char, Stephen J.

    2002-01-01

    The U.S. Geological Survey developed this dataset as part of the Colorado Front Range Infrastructure Resources Project (FRIRP). One goal of the FRIRP was to provide information on the availability of those hydrogeologic resources that are either critical to maintaining infrastructure along the northern Front Range or that may become less available because of urban expansion in the northern Front Range. This dataset extends from the Boulder-Jefferson County line on the south, to the middle of Larimer and Weld Counties on the North. On the west, this dataset is bounded by the approximate mountain front of the Front Range of the Rocky Mountains; on the east, by an arbitrary north-south line extending through a point about 6.5 kilometers east of Greeley. This digital geospatial dataset consists of digitized contours of unconsolidated-sediment thickness (depth to bedrock).

  13. Comparing children's GPS tracks with geospatial proxies for exposure to junk food.

    PubMed

    Sadler, Richard C; Gilliland, Jason A

    2015-01-01

    Various geospatial techniques have been employed to estimate children's exposure to environmental cardiometabolic risk factors, including junk food. But many studies uncritically rely on exposure proxies which differ greatly from actual exposure. Misrepresentation of exposure by researchers could lead to poor decisions and ineffective policymaking. This study conducts a GIS-based analysis of GPS tracks--'activity spaces'--and 21 proxies for activity spaces (e.g. buffers, container approaches) for a sample of 526 children (ages 9-14) in London, Ontario, Canada. These measures are combined with a validated food environment database (including fast food and convenience stores) to create a series of junk food exposure estimates and quantify the errors resulting from use of different proxy methods. Results indicate that exposure proxies consistently underestimate exposure to junk foods by as much as 68%. This underestimation is important to policy development because children are exposed to more junk food than estimated using typical methods.

  14. Geospatial Technology in Disease Mapping, E- Surveillance and Health Care for Rural Population in South India

    NASA Astrophysics Data System (ADS)

    Praveenkumar, B. A.; Suresh, K.; Nikhil, A.; Rohan, M.; Nikhila, B. S.; Rohit, C. K.; Srinivas, A.

    2014-11-01

    Providing Healthcare to rural population has been a challenge to the medical service providers especially in developing countries. For this to be effective, scalable and sustainable, certain strategic decisions have to be taken during the planning phase. Also, there is a big gap between the services available and the availability of doctors and medical resources in rural areas. Use of Information Technology can aid this deficiency to a good extent. In this paper, a mobile application has been developed to gather data from the field. A cloud based interface has been developed to store the data in the cloud for effective usage and management of the data. A decision tree based solution developed in this paper helps in diagnosing a patient based on his health parameters. Interactive geospatial maps have been developed to provide effective data visualization facility. This will help both the user community as well as decision makers to carry out long term strategy planning.

  15. Development of Rural Emergency Medical System (REMS) with Geospatial Technology in Malaysia

    NASA Astrophysics Data System (ADS)

    Ooi, W. H.; Shahrizal, I. M.; Noordin, A.; Nurulain, M. I.; Norhan, M. Y.

    2014-02-01

    Emergency medical services are dedicated services in providing out-of-hospital transport to definitive care or patients with illnesses and injuries. In this service the response time and the preparedness of medical services is of prime importance. The application of space and geospatial technology such as satellite navigation system and Geographical Information System (GIS) was proven to improve the emergency operation in many developed countries. In collaboration with a medical service NGO, the National Space Agency (ANGKASA) has developed a prototype Rural Emergency Medical System (REMS), focusing on providing medical services to rural areas and incorporating satellite based tracking module integrated with GIS and patience database to improve the response time of the paramedic team during emergency. With the aim to benefit the grassroots community by exploiting space technology, the project was able to prove the system concept which will be addressed in this paper.

  16. Geospatial intelligence and visual classification of environmentally observed species in the Future Internet

    NASA Astrophysics Data System (ADS)

    Arbab-Zavar, B.; Chakravarthy, A.; Sabeur, Z. A.

    2012-04-01

    The rapid development of advanced smart communication tools with good quality and resolution video cameras, audio and GPS devices in the last few years shall lead to profound impacts on the way future environmental observations are conducted and accessed by communities. The resulting large scale interconnections of these "Future Internet Things" form a large environmental sensing network which will generate large volumes of quality environmental observations and at highly localised spatial scales. This enablement in environmental sensing at local scales will be of great importance to contribute in the study of fauna and flora in the near future, particularly on the effect of climate change on biodiversity in various regions of Europe and beyond. The Future Internet could also potentially become the de facto information space to provide participative real-time sensing by communities and improve our situation awarness of the effect of climate on local environments. In the ENVIROFI(2011-2013) Usage Area project in the FP7 FI-PPP programme, a set of requirements for specific (and generic) enablers is achieved with the potential establishement of participating community observatories of the future. In particular, the specific enablement of interest concerns the building of future interoperable services for the management of environmental data intelligently with tagged contextual geo-spatial information generated by multiple operators in communities (Using smart phones). The classification of observed species in the resulting images is achieved with structured data pre-processing, semantic enrichement using contextual geospatial information, and high level fusion with controlled uncertainty estimations. The returned identification of species is further improved using future ground truth corrections and learning by the specific enablers.

  17. Mapping and Analysis of Forest and Land Fire Potential Using Geospatial Technology and Mathematical Modeling

    NASA Astrophysics Data System (ADS)

    Suliman, M. D. H.; Mahmud, M.; Reba, M. N. M.; S, L. W.

    2014-02-01

    Forest and land fire can cause negative implications for forest ecosystems, biodiversity, air quality and soil structure. However, the implications involved can be minimized through effective disaster management system. Effective disaster management mechanisms can be developed through appropriate early warning system as well as an efficient delivery system. This study tried to focus on two aspects, namely by mapping the potential of forest fire and land as well as the delivery of information to users through WebGIS application. Geospatial technology and mathematical modeling used in this study for identifying, classifying and mapping the potential area for burning. Mathematical models used is the Analytical Hierarchy Process (AHP), while Geospatial technologies involved include remote sensing, Geographic Information System (GIS) and digital field data collection. The entire Selangor state was chosen as our study area based on a number of cases have been reported over the last two decades. AHP modeling to assess the comparison between the three main criteria of fuel, topography and human factors design. Contributions of experts directly involved in forest fire fighting operations and land comprising officials from the Fire and Rescue Department Malaysia also evaluated in this model. The study found that about 32.83 square kilometers of the total area of Selangor state are the extreme potential for fire. Extreme potential areas identified are in Bestari Jaya and Kuala Langat High Ulu. Continuity of information and terrestrial forest fire potential was displayed in WebGIS applications on the internet. Display information through WebGIS applications is a better approach to help the decision-making process at a high level of confidence and approximate real conditions. Agencies involved in disaster management such as Jawatankuasa Pengurusan Dan Bantuan Bencana (JPBB) of District, State and the National under the National Security Division and the Fire and Rescue

  18. Planetary-Scale Geospatial Data Analysis Techniques in Google's Earth Engine Platform (Invited)

    NASA Astrophysics Data System (ADS)

    Hancher, M.

    2013-12-01

    Geoscientists have more and more access to new tools for large-scale computing. With any tool, some tasks are easy and other tasks hard. It is natural to look to new computing platforms to increase the scale and efficiency of existing techniques, but there is a more exiting opportunity to discover and develop a new vocabulary of fundamental analysis idioms that are made easy and effective by these new tools. Google's Earth Engine platform is a cloud computing environment for earth data analysis that combines a public data catalog with a large-scale computational facility optimized for parallel processing of geospatial data. The data catalog includes a nearly complete archive of scenes from Landsat 4, 5, 7, and 8 that have been processed by the USGS, as well as a wide variety of other remotely-sensed and ancillary data products. Earth Engine supports a just-in-time computation model that enables real-time preview during algorithm development and debugging as well as during experimental data analysis and open-ended data exploration. Data processing operations are performed in parallel across many computers in Google's datacenters. The platform automatically handles many traditionally-onerous data management tasks, such as data format conversion, reprojection, resampling, and associating image metadata with pixel data. Early applications of Earth Engine have included the development of Google's global cloud-free fifteen-meter base map and global multi-decadal time-lapse animations, as well as numerous large and small experimental analyses by scientists from a range of academic, government, and non-governmental institutions, working in a wide variety of application areas including forestry, agriculture, urban mapping, and species habitat modeling. Patterns in the successes and failures of these early efforts have begun to emerge, sketching the outlines of a new set of simple and effective approaches to geospatial data analysis.

  19. Evaluating Urbanization Impacts from Non-Point Stormwater Runoff using Geospatial Analysis

    NASA Astrophysics Data System (ADS)

    Zivkovich, B. R.; Mays, D. C.

    2015-12-01

    Sediments, nutrients and other chemical impairments caused by urbanization continue to deteriorate natural ecosystem processes, resulting in the current degraded state of urban surface waters. Understanding non-point source impacts on these natural ecosystems has become a prevalent topic in sustainable urban infrastructure design as efforts to restore the urban hydrologic regime continue to drive engineers, planners, and environmentalists to develop optimal design practices for rapidly expanding built environments. To best understand how and where these impairments are received, the U.S. Environmental Protection Agency and other organizations have adopted urban runoff programs to identify contributions from non-point sources. This presentation provides a geospatial analysis method for identifying non-point source watersheds, and associated sub-basins, that contribute the highest loads of pollutants to receiving urban streams and lakes. This method, using a form of linear matrix inversion, is an area-averaged weighting method for non-point pollutants that corresponds to a geospatial land cover analysis. This two-phase analysis can be used to aid all parties in understanding how different land use types affect urban stream systems and processes. Optimal locations for water quality features (i.e., best management practices) can be evaluated in order to reduce, capture, and treat stormwater runoff as close to the source as possible. These best management practices have the ability to operate most effectively when located properly, because their ability to act as a minor treatment and prevention system is of great important for the restoration of the urban hydrologic regime.

  20. Categorizing natural disaster damage assessment using satellite-based geospatial techniques

    USGS Publications Warehouse

    Myint, S.W.; Yuan, M.; Cerveny, R.S.; Giri, C.

    2008-01-01

    Remote sensing of a natural disaster's damage offers an exciting backup and/or alternative to traditional means of on-site damage assessment. Although necessary for complete assessment of damage areas, ground-based damage surveys conducted in the aftermath of natural hazard passage can sometimes be potentially complicated due to on-site difficulties (e.g., interaction with various authorities and emergency services) and hazards (e.g., downed power lines, gas lines, etc.), the need for rapid mobilization (particularly for remote locations), and the increasing cost of rapid physical transportation of manpower and equipment. Satellite image analysis, because of its global ubiquity, its ability for repeated independent analysis, and, as we demonstrate here, its ability to verify on-site damage assessment provides an interesting new perspective and investigative aide to researchers. Using one of the strongest tornado events in US history, the 3 May 1999 Oklahoma City Tornado, as a case example, we digitized the tornado damage path and co-registered the damage path using pre- and post-Landsat Thematic Mapper image data to perform a damage assessment. We employed several geospatial approaches, specifically the Getis index, Geary's C, and two lacunarity approaches to categorize damage characteristics according to the original Fujita tornado damage scale (F-scale). Our results indicate strong relationships between spatial indices computed within a local window and tornado F-scale damage categories identified through the ground survey. Consequently, linear regression models, even incorporating just a single band, appear effective in identifying F-scale damage categories using satellite imagery. This study demonstrates that satellite-based geospatial techniques can effectively add spatial perspectives to natural disaster damages, and in particular for this case study, tornado damages.

  1. The role of national and international geospatial data sources in the management of natural disasters

    NASA Astrophysics Data System (ADS)

    Kayi, A.; Erdogan, M.; Yilmaz, A.

    2014-11-01

    An earthquake occurred at Van City on 23 October 2011 at 13:41 local time. The magnitude, moment magnitude and depth of earthquake were respectively MI:6.7, Mw:7.0 and 19.07 km. Van city centre and its surrounding villages were affected from this destructive earthquake. Many buildings were ruined and approximately 600 people died. Acquisition and use of geospatial data is very important and crucial for the management of such kind of natural disasters. In this paper, the role of national and international geospatial data in the management of Van earthquake is investigated.. With an international collaboration with Charter, pre and post-earthquake satellite images were acquired in 24 hours following the Earthquake. Also General Command of Mapping (GCM), the national mapping agency of Turkey, produced the high resolution multispectral orthophotos of the region. Charter presented the orthophotos through 26-28 October 2012. Just after the earthquake with a quick reaction, GCM made the flight planning of the 1296 km2 disaster area to acquire aerial photos. The aerial photos were acquired on 24 October 2012 (one day after the earthquake) by UltraCamX large format digital aerial camera. 152 images were taken with 30 cm ground sample distance (GSD) by %30 sidelap and %60 overlap. In the evening of same flight day, orthophotos were produced without ground control points by direct georeferencing and GCM supplied the orthophotos to the disaster management authorities. Also 45 cm GSD archive orthophotos, acquired in 2010, were used as a reference in order to find out the effects of the disaster. The subjects written here do not represent the ideas of Turkish Armed Forces.

  2. Active on-demand service method based on event-driven architecture for geospatial data retrieval

    NASA Astrophysics Data System (ADS)

    Fan, Minghu; Fan, Hong; Chen, Nengcheng; Chen, Zeqiang; Du, Wu

    2013-07-01

    Timely on-demand access to geospatial data is necessary for environmental observation and disaster response. However, traditional service methods for acquiring geospatial data are inefficient and cumbersome, which is not beneficial for timely data acquisition. In these service methods, data are obtained and published by managers and are then left to users to discover and to retrieve them. To solve this problem, we propose an event-driven active on-demand data service method, for which a prototype based on sensor web technologies is demonstrated. First, we select a subset of observed properties as the attributes of an observation event of a data service system. Event-filtering technologies are then employed to find the data desired by users. Finally, the data that meet the subscription requirement are pushed to subscribers on time. The aims of the implementation of the method are to test the suitability of the observation and measurement (O&M) profile for Earth observation and OGC event pattern markup language (EML) specification. We determined the attributes of observation events according to the requirement of the data service and encoded observation event information using the OGC Observations and Measurements specification. We encoded the information under filtering conditions using the OGC Event Pattern Markup Language specification. We implemented a data service method that is based on event-driven architecture via a combination of some sensor web enablement services. Finally, we verified the feasibility of the method using MODIS data from the forest fires that occurred on February 7, 2009, in Victoria, Australia. The results show that the proposed method can achieve actively pushing the desired data to subscribers in the shortest possible time. O&M profiles for Earth observation and EML are suitable for the metadata encoding of observation events and the encoding of subscription information respectively. They match well for the data service in the system.

  3. Categorizing natural disaster damage assessment using satellite-based geospatial techniques

    NASA Astrophysics Data System (ADS)

    Myint, S. W.; Yuan, M.; Cerveny, R. S.; Giri, C.

    2008-07-01

    Remote sensing of a natural disaster's damage offers an exciting backup and/or alternative to traditional means of on-site damage assessment. Although necessary for complete assessment of damage areas, ground-based damage surveys conducted in the aftermath of natural hazard passage can sometimes be potentially complicated due to on-site difficulties (e.g., interaction with various authorities and emergency services) and hazards (e.g., downed power lines, gas lines, etc.), the need for rapid mobilization (particularly for remote locations), and the increasing cost of rapid physical transportation of manpower and equipment. Satellite image analysis, because of its global ubiquity, its ability for repeated independent analysis, and, as we demonstrate here, its ability to verify on-site damage assessment provides an interesting new perspective and investigative aide to researchers. Using one of the strongest tornado events in US history, the 3 May 1999 Oklahoma City Tornado, as a case example, we digitized the tornado damage path and co-registered the damage path using pre- and post-Landsat Thematic Mapper image data to perform a damage assessment. We employed several geospatial approaches, specifically the Getis index, Geary's C, and two lacunarity approaches to categorize damage characteristics according to the original Fujita tornado damage scale (F-scale). Our results indicate strong relationships between spatial indices computed within a local window and tornado F-scale damage categories identified through the ground survey. Consequently, linear regression models, even incorporating just a single band, appear effective in identifying F-scale damage categories using satellite imagery. This study demonstrates that satellite-based geospatial techniques can effectively add spatial perspectives to natural disaster damages, and in particular for this case study, tornado damages.

  4. Geospatial techniques for developing a sampling frame of watersheds across a region

    USGS Publications Warehouse

    Gresswell, Robert E.; Bateman, Doug; Lienkaemper, George; Guy, T.J.

    2004-01-01

    Current land-management decisions that affect the persistence of native salmonids are often influenced by studies of individual sites that are selected based on judgment and convenience. Although this approach is useful for some purposes, extrapolating results to areas that were not sampled is statistically inappropriate because the sampling design is usually biased. Therefore, in recent investigations of coastal cutthroat trout (Oncorhynchus clarki clarki) located above natural barriers to anadromous salmonids, we used a methodology for extending the statistical scope of inference. The purpose of this paper is to apply geospatial tools to identify a population of watersheds and develop a probability-based sampling design for coastal cutthroat trout in western Oregon, USA. The population of mid-size watersheds (500-5800 ha) west of the Cascade Range divide was derived from watershed delineations based on digital elevation models. Because a database with locations of isolated populations of coastal cutthroat trout did not exist, a sampling frame of isolated watersheds containing cutthroat trout had to be developed. After the sampling frame of watersheds was established, isolated watersheds with coastal cutthroat trout were stratified by ecoregion and erosion potential based on dominant bedrock lithology (i.e., sedimentary and igneous). A stratified random sample of 60 watersheds was selected with proportional allocation in each stratum. By comparing watershed drainage areas of streams in the general population to those in the sampling frame and the resulting sample (n = 60), we were able to evaluate the how representative the subset of watersheds was in relation to the population of watersheds. Geospatial tools provided a relatively inexpensive means to generate the information necessary to develop a statistically robust, probability-based sampling design.

  5. Dynamic Server-Based KML Code Generator Method for Level-of-Detail Traversal of Geospatial Data

    NASA Technical Reports Server (NTRS)

    Baxes, Gregory; Mixon, Brian; Linger, TIm

    2013-01-01

    Web-based geospatial client applications such as Google Earth and NASA World Wind must listen to data requests, access appropriate stored data, and compile a data response to the requesting client application. This process occurs repeatedly to support multiple client requests and application instances. Newer Web-based geospatial clients also provide user-interactive functionality that is dependent on fast and efficient server responses. With massively large datasets, server-client interaction can become severely impeded because the server must determine the best way to assemble data to meet the client applications request. In client applications such as Google Earth, the user interactively wanders through the data using visually guided panning and zooming actions. With these actions, the client application is continually issuing data requests to the server without knowledge of the server s data structure or extraction/assembly paradigm. A method for efficiently controlling the networked access of a Web-based geospatial browser to server-based datasets in particular, massively sized datasets has been developed. The method specifically uses the Keyhole Markup Language (KML), an Open Geospatial Consortium (OGS) standard used by Google Earth and other KML-compliant geospatial client applications. The innovation is based on establishing a dynamic cascading KML strategy that is initiated by a KML launch file provided by a data server host to a Google Earth or similar KMLcompliant geospatial client application user. Upon execution, the launch KML code issues a request for image data covering an initial geographic region. The server responds with the requested data along with subsequent dynamically generated KML code that directs the client application to make follow-on requests for higher level of detail (LOD) imagery to replace the initial imagery as the user navigates into the dataset. The approach provides an efficient data traversal path and mechanism that can be

  6. A quantitative comparison of moldic and vuggy porosity structure in karst aquifers using image and geospatial analysis

    NASA Astrophysics Data System (ADS)

    Culpepper, A. R.; Manda, A. K.

    2011-12-01

    Limestone aquifers are vital sources of groundwater for domestic and industrial use throughout the world. To sustain rising population throughout the southeastern United States, aquifers are increasingly exploited to provide the populace clean and reliable water resources. The moldic Castle Hayne and the vuggy Biscayne aquifer systems are two highly productive aquifers that provide critical water resources to millions of citizens in eastern North Carolina and southeastern Florida, respectively. In order to better understand karst aquifers and evaluate the potential for contaminant transport, detailed investigation of 2D porosity and pore geometry using image and geospatial analysis were undertaken. The objective of this study is to compare and contrast the porosity structure of moldic and vuggy karst aquifers by quantifying 2D porosity and pore geometry from images of slabbed core samples and optical televiewer images. Televiewer images and images of painted core samples from the Spring Garden Member of the Castle Hayne aquifer and Miami Limestone Formation of the Biscayne aquifer were acquired for analysis of porosity structure. The procedure for converting images of slabbed core and televiewer images to a GIS useable format consisted of rectification, calibration, image enhancement, classification, recoding and filtering. In GIS, raster or vector formats were used to assess pore attributes (e.g., area and perimeter) and structure. Preliminary results show that both pore area and perimeter for the Spring Garden Member of the Castle Hayne and Miami Limestone Formation of the Biscayne aquifers can be described by exponential distributions. In both sets of slabbed core images the relatively small pores have the highest occurrence, whereas larger pores occur less frequently. However, the moldic Spring Garden Member of the Castle Hayne aquifer has larger pore sizes derived from cores images than the vuggy Miami Limestone Formation of Biscayne aquifer. Total porosity

  7. Development of a Cartographic Strategy and Geospatial Services for Disaster Early Warning and Mitigation in the Ecowas Subregion

    NASA Astrophysics Data System (ADS)

    Gueye, L. A.; Keita, M. S.; Akinyede, J. O.; Kufoniyi, O.; Erin, G.

    2015-08-01

    The West Africa Sub-region has been crisis and disaster ridden in recent times with enormous challenges for disaster mitigation. The crisis/disasters range from conflicts fuelled by political upheaval to epidemics that take their tolls on the population of some countries in the sub-region. The crisis and disaster events have overwhelming magnitudes and are highly dynamic, requiring a well-articulated plan for immediate response in order to mitigate their effects. A study carried out by the Early Warning Directorate (EWD) of the Economic Commission of West African States (ECOWAS) highlighted the risks and vulnerabilities of the region despite the considerable progress made in development and peace consolidation in some parts of the region. The study identified apparent institutional and infrastructural deficiencies, such as the lack of up-to-date geospatial data and information, and inadequate platforms for data gathering and data sharing among the relevant national agencies, which have made much of the region particularly vulnerable to the emerging threats. It is against the foregoing that the development of a Cartographic Strategy and Geospatial Services for EWD and the ECOWAS is being proposed. In addition to the resolution of the crucial need of reliable geospatial data capacity of member states, this initiative will spearhead the realisation of a Geospatial Data Infrastructure for ECOWAS Commission, through the appropriate policy formulation and implementation. Through the proper implementation of the Cartographic Strategy and Geospatial Services, ECOWAS will have the capacity to provide geospatial analysis and mapping support focusing on areas related to conflict prevention and resolution, regional planning for food security, early warning of viral diseases and epidemics, disaster preparedness, mitigation and response, infrastructural development and refugee resettlement, and a host of other vital projects/programmes for promoting ECOWAS regional integration

  8. The Development of an Interoperable Open Source Geographic Information Technology Stack for Ingest, Management, and Delivery of Earth Observation and Geospatial Products

    NASA Astrophysics Data System (ADS)

    Benedict, K. K.; Sanchez-Silva, R.; Cavner, J. A.; Hudspeth, W. B.

    2009-12-01

    The rapid growth of geospatial data volume and number of sources has highlighted the need for, and spurred the growth and adoption of interoperable geospatial data services. For nearly a decade the Earth Data Analysis Center at The University of New Mexico has been developing standards-based geospatial data management systems based upon a core collection of Open Source technologies, with the collection of employed technologies contributing to a unified information architecture that is enabled by interoperability standards. These technologies include geodatabases (PostGIS), geospatial data access libraries and associated utility programs (GDAL and OGR), scripting languages that enable automated data processing and management (Python), online mapping servers (MapServer), online mapping (OpenLayers, MapFish, GeoEXT), and desktop GIS applications (uDig, QGIS, and GRASS). The interoperability standards upon which EDAC's geospatial information architectures are built include those coming out of the Open Geospatial Consortium (WMS, WFS, WCS, KML, GML), the World Wide Web Consortium (HTML, CSS, SOAP, XML), and ECMA (ECMAscript AKA Javascript). This paper outlines the complementary roles that these various Open Source applications play in the multi-tiered Services Oriented Architectures developed by EDAC in support of a variety of projects, and provides an illustration of how the capabilities enabled by these technologies are interconnected using well-defined open standards. These capabilities include data ingest and query services that support searching for data content based upon keywords and defined spatial extent. They also include data administration services that support data product ingest and registration, data product modification, and deletion from the data registry. Finally, the system supports dynamic generation of Open Geospatial Consortium services for each geospatial data product in the system, enabling integration of data from the system into a wide variety

  9. A sub-national scale geospatial analysis of diamond deposit lootability: the case of the Central African Republic

    USGS Publications Warehouse

    Malpeli, Katherine C.; Chirico, Peter G.

    2014-01-01

    The Central African Republic (CAR), a country with rich diamond deposits and a tumultuous political history, experienced a government takeover by the Seleka rebel coalition in 2013. It is within this context that we developed and implemented a geospatial approach for assessing the lootability of high value-to-weight resource deposits, using the case of diamonds in CAR as an example. According to current definitions of lootability, or the vulnerability of deposits to exploitation, CAR's two major diamond deposits are similarly lootable. However, using this geospatial approach, we demonstrate that the deposits experience differing political geographic, spatial location, and cultural geographic contexts, rendering the eastern deposits more lootable than the western deposits. The patterns identified through this detailed analysis highlight the geographic complexities surrounding the issue of conflict resources and lootability, and speak to the importance of examining these topics at the sub-national scale, rather than relying on national-scale statistics.

  10. GEO Label - Quality Information Interrogation Tool for Geospatial Datasets: Towards Effective Visualization of Quality Metadata.

    NASA Astrophysics Data System (ADS)

    Lush, Victoria; Lumsden, Jo; Bastin, Lucy

    2013-04-01

    Although the importance of dataset fitness-for-use evaluation and intercomparison is widely recognised within the GIS community, no practical tools have yet been developed to support such interrogation. GeoViQua aims to develop a GEO label which will visually summarise and allow interrogation of key informational aspects of geospatial datasets upon which users rely when selecting datasets for use. The proposed GEO label will be integrated in the Global Earth Observation System of Systems (GEOSS) and will be used as a value and trust indicator for datasets accessible through the GEO Portal. As envisioned, the GEO label will act as a decision support mechanism for dataset selection and thereby hopefully improve user recognition of the quality of datasets. To date we have conducted 3 user studies to (1) identify the informational aspects of geospatial datasets upon which users rely when assessing dataset quality and trustworthiness, (2) elicit initial user views on a GEO label and its potential role and (3), evaluate prototype label visualisations. Our first study revealed that, when evaluating quality of data, users consider 8 facets: dataset producer information; producer comments on dataset quality; dataset compliance with international standards; community advice; dataset ratings; links to dataset citations; expert value judgements; and quantitative quality information. Our second study confirmed the relevance of these facets in terms of the community-perceived function that a GEO label should fulfil: users and producers of geospatial data supported the concept of a GEO label that provides a drill-down interrogation facility covering all 8 informational aspects. Consequently, we developed three prototype label visualisations and evaluated their comparative effectiveness and user preference via a third user study to arrive at a final graphical GEO label representation. When integrated in the GEOSS, an individual GEO label will be provided for each dataset in the

  11. Development of a Geospatial Data-Sharing Method for Unmanned Vehicles Based on the Joint Architecture for Unmanned Systems (JAUS)

    DTIC Science & Technology

    2005-08-01

    107 xi LIST OF FIGURES Figure page 1-1 Example of the processes leading up to higher -level planning...4 1-2 How our study fits into the higher -level planning process.........................................4 2-1 System structure of JAUS...of the processes leading up to higher -level planning Geospatial data generated by an unmanned system are only as good as the system’s sensors and

  12. Accuracy VS Performance: Finding the Sweet Spot in the Geospatial Resolution of Satellite Metadata

    NASA Astrophysics Data System (ADS)

    Baskin, W. E.; Mangosing, D. C.; Rinsland, P. L.

    2010-12-01

    NASA’s Atmospheric Science Data Center (ASDC) and the Cloud-Aerosol LIDAR and Infrared Pathfinder Satellite Observation (CALIPSO) team at the NASA Langley Research Center recently collaborated in the development of a new CALIPSO Search and Subset web application. The web application is comprised of three elements: (1) A PostGIS-enabled PostgreSQL database system, which is used to store temporal and geospatial metadata from CALIPSO’s LIDAR, Infrared, and Wide Field Camera datasets, (2) the SciFlo engine, which is a data flow engine that enables semantic, scientific data flow executions in a grid or clustered network computational environment, and (3) PHP-based web application that incorporates some Web 2.0 / AJAX technologies used in the web interface. The search portion of the web application leverages geodetic indexing and search capabilities that became available in the February 2010 release of PostGIS version1.5. This presentation highlights the lessons learned in experimenting with various geospatial resolutions of CALIPSO’s LIDAR sensor ground track metadata. Details of the various spatial resolutions, spatial database schema designs, spatial indexing strategies, and performance results will be discussed. The focus will be on illustrating our findings on the spatial resolutions for ground track metadata that optimized search time and search accuracy in the CALIPSO Search and Subset Application. The CALIPSO satellite provides new insight into the role that clouds and atmospheric aerosols (airborne particles) play in regulating Earth's weather, climate, and air quality. CALIPSO combines an active LIDAR instrument with passive infrared and visible imagers to probe the vertical structure and properties of thin clouds and aerosols over the globe. The CALIPSO satellite was launched on April 28, 2006 and is part of the A-train satellite constellation. The ASDC in Langley’s Science Directorate leads NASA’s program for the processing, archival and

  13. Harmonisation of Grid and Geospatial Services Standards in the Earth and Environmental Sciences

    NASA Astrophysics Data System (ADS)

    Cox, S. J.; Woolf, A.; Wyborn, L.; Woodcock, R.; Atkinson, R.; Esterle, J.

    2005-05-01

    Many investigations in the geosciences require consideration of datasets for which the points of truth are distributed. Furthermore, resolution of many geoscientific problems requires use of computational resources that are only available remotely. However, finding and accessing these resources is often unsystematic, and may be very difficult. Even where data centres and computational services exist, they use different interfaces and online access mechanisms, and there is little coordination at cataloguing. Developments in Grid computing and Web Services are providing the means to share computational and informational resources across organisations and boundaries. The approach is to place standard service interfaces in front of the resources. We report on a set of interrelated initiatives in Australia and UK to establish a common framework in the earth and environmental sciences based on Grid and Web Services. A UK project, the 'NERC DataGrid', is developing software that will be used by various data centres to create a 'virtual environmental data Grid'. The first trial will involve the British Atmospheric Data Centre and British Oceanographic Data Centre. For the first time, users will be able to easily find and access both atmospheric and ocean data from these centres in exactly the same way. A community of researchers in Australia (SEEGrid - the Solid Earth and Environment Grid) is concentrating in two areas: (i) open interfaces to data and processing, leveraging Open Geospatial Consortium web service interface standards, and ISO/TC 211 geographic information standards, and (ii) simulations of earth processes using computing resources available over open Grid interfaces. Trials have involved simultaneous access through standard interfaces to heterogeneous measurement archives, and configuration of process simulations independent of computation engine. A particular focus is the importance of standardisation of information content at the semantic level, enabling

  14. Geospatial datasets for assessing the effects of rangeland conditions on dissolved-solids yields in the Upper Colorado River Basin

    USGS Publications Warehouse

    Tillman, Fred D; Flynn, Marilyn E.; Anning, David W.

    2015-01-01

    In 2009, the U.S. Geological Survey (USGS) developed a Spatially Referenced Regressions on Watershed Attributes (SPARROW) surface-water quality model for the Upper Colorado River Basin (UCRB) relating dissolved-solids sources and transport in the 1991 water year to upstream catchment characteristics. The SPARROW model focused on geologic and agricultural sources of dissolved solids in the UCRB and was calibrated using water-year 1991 dissolved-solids loads from 218 monitoring sites. A new UCRB SPARROW model is planned that will update the investigation of dissolved-solids sources and transport in the basin to circa 2010 conditions and will improve upon the 2009 model by incorporating more detailed information about agricultural-irrigation and rangeland-management practices, among other improvements. Geospatial datasets relating to circa 2010 rangeland conditions are required for the new UCRB SPARROW modeling effort. This study compiled geospatial datasets for the UCRB that relate to the biotic alterations and rangeland conditions of grazing, fire and other land disturbance, and vegetation type and cover. Datasets representing abiotic alterations of access control (off-highway vehicles) and sediment generation and transport in general, were also compiled. These geospatial datasets may be tested in the upcoming SPARROW model to better understand the potential contribution of rangelands to dissolved-solids loading in UCRB streams.

  15. New directions in valuing geospatial information - how to value goespatial information for policy and business decisioins in the future

    NASA Astrophysics Data System (ADS)

    Smart, A. C.

    2014-12-01

    Governments are increasingly asking for more evidence of the benefits of investing in geospatial data and infrastructure before investing. They are looking for a clearer articulation of the economic, environmental and social benefits than has been possble in the past. Development of techniques has accelerated in the past five years as governments and industry become more involved in the capture and use of geospatial data. However evaluation practitioners have struggled to answer these emerging questions. The paper explores the types of questions that decision makers are asking and discusses the different approaches and methods that have been used recently to answer them. It explores the need for better buisness case models. The emerging approaches are then discussed and their attributes reviewed. These include methods of analysing tengible economic benefits, intangible benefits and societal benefits. The paper explores the use of value chain analysis and real options analysis to better articulate the impacts on international competitiveness and how to value the potential benefits of innovations enabled by the geospatial data that is produced. The paper concludes by illustrating the potential for these techniques in current and future decision making.

  16. Tsunami vertical-evacuation planning in the U.S. Pacific Northwest as a geospatial, multi-criteria decision problem

    USGS Publications Warehouse

    Wood, Nathan; Jones, Jeanne; Schelling, John; Schmidtlein, Mathew

    2014-01-01

    Tsunami vertical-evacuation (TVE) refuges can be effective risk-reduction options for coastal communities with local tsunami threats but no accessible high ground for evacuations. Deciding where to locate TVE refuges is a complex risk-management question, given the potential for conflicting stakeholder priorities and multiple, suitable sites. We use the coastal community of Ocean Shores (Washington, USA) and the local tsunami threat posed by Cascadia subduction zone earthquakes as a case study to explore the use of geospatial, multi-criteria decision analysis for framing the locational problem of TVE siting. We demonstrate a mixed-methods approach that uses potential TVE sites identified at community workshops, geospatial analysis to model changes in pedestrian evacuation times for TVE options, and statistical analysis to develop metrics for comparing population tradeoffs and to examine influences in decision making. Results demonstrate that no one TVE site can save all at-risk individuals in the community and each site provides varying benefits to residents, employees, customers at local stores, tourists at public venues, children at schools, and other vulnerable populations. The benefit of some proposed sites varies depending on whether or not nearby bridges will be functioning after the preceding earthquake. Relative rankings of the TVE sites are fairly stable under various criteria-weighting scenarios but do vary considerably when comparing strategies to exclusively protect tourists or residents. The proposed geospatial framework can serve as an analytical foundation for future TVE siting discussions.

  17. GeoIRIS: Geospatial Information Retrieval and Indexing System-Content Mining, Semantics Modeling, and Complex Queries.

    PubMed

    Shyu, Chi-Ren; Klaric, Matt; Scott, Grant J; Barb, Adrian S; Davis, Curt H; Palaniappan, Kannappan

    2007-04-01

    Searching for relevant knowledge across heterogeneous geospatial databases requires an extensive knowledge of the semantic meaning of images, a keen eye for visual patterns, and efficient strategies for collecting and analyzing data with minimal human intervention. In this paper, we present our recently developed content-based multimodal Geospatial Information Retrieval and Indexing System (GeoIRIS) which includes automatic feature extraction, visual content mining from large-scale image databases, and high-dimensional database indexing for fast retrieval. Using these underpinnings, we have developed techniques for complex queries that merge information from heterogeneous geospatial databases, retrievals of objects based on shape and visual characteristics, analysis of multiobject relationships for the retrieval of objects in specific spatial configurations, and semantic models to link low-level image features with high-level visual descriptors. GeoIRIS brings this diverse set of technologies together into a coherent system with an aim of allowing image analysts to more rapidly identify relevant imagery. GeoIRIS is able to answer analysts' questions in seconds, such as "given a query image, show me database satellite images that have similar objects and spatial relationship that are within a certain radius of a landmark."

  18. A geospatial web portal for sharing and analyzing greenhouse gas data derived from satellite remote sensing images

    NASA Astrophysics Data System (ADS)

    Lin, Hao; Yu, Bailang; Chen, Zuoqi; Hu, Yingjie; Huang, Yan; Wu, Jianping; Wu, Bin; Ge, Rong

    2013-09-01

    Greenhouse gas data collected by different institutions throughout the world have significant scientific values for global climate change studies. Due to the diversity of data formats and different specifications of data access interfaces, most of those data should be first downloaded onto a local machine before they can be used. To overcome this limitation, we present a geospatial web portal for sharing and analyzing greenhouse gas data derived from remote sensing images. As a proof-of-concept, a prototype has also been designed and implemented. The workflow of the web portal contains four processes: data access, data analysis, results visualization, and results output. A large volume of greenhouse gas data have been collected, described, and indexed in the portal, and a variety of data analysis services, such as calculating the temporal variation of regionally averaged column CO2 values and analyzing the latitudinal variations of globally averaged column CO2 values, are integrated into this portal. With the integrated geospatial data and services, researchers can collect and analyze greenhouse gas data online, and can preview and download the analysis results directly from the web portal. The geospatial web portal has been implemented as a web application, and we also used a study case to illustrate this framework.

  19. Representing Geospatial Environment Observation Capability Information: A Case Study of Managing Flood Monitoring Sensors in the Jinsha River Basin

    PubMed Central

    Hu, Chuli; Guan, Qingfeng; Li, Jie; Wang, Ke; Chen, Nengcheng

    2016-01-01

    Sensor inquirers cannot understand comprehensive or accurate observation capability information because current observation capability modeling does not consider the union of multiple sensors nor the effect of geospatial environmental features on the observation capability of sensors. These limitations result in a failure to discover credible sensors or plan for their collaboration for environmental monitoring. The Geospatial Environmental Observation Capability (GEOC) is proposed in this study and can be used as an information basis for the reliable discovery and collaborative planning of multiple environmental sensors. A field-based GEOC (GEOCF) information representation model is built. Quintuple GEOCF feature components and two GEOCF operations are formulated based on the geospatial field conceptual framework. The proposed GEOCF markup language is used to formalize the proposed GEOCF. A prototype system called GEOCapabilityManager is developed, and a case study is conducted for flood observation in the lower reaches of the Jinsha River Basin. The applicability of the GEOCF is verified through the reliable discovery of flood monitoring sensors and planning for the collaboration of these sensors. PMID:27999247

  20. Geospatial Multi-Agency Coordination (GeoMAC) wildland fire perimeters, 2008

    USGS Publications Warehouse

    Walters, Sandra P.; Schneider, Norma J.; Guthrie, John D.

    2011-01-01

    The Geospatial Multi-Agency Coordination (GeoMAC) has been collecting and storing data on wildland fire perimeters since August 2000. The dataset presented via this U.S. Geological Survey Data Series product contains the GeoMAC wildland fire perimeter data for the calendar year 2008, which are based upon input from incident intelligence sources, Global Positioning System (GPS) data, and infrared (IR) imagery. Wildland fire perimeter data are obtained from the incidents, evaluated for completeness and accuracy, and processed to reflect consistent field names and attributes. After a quality check, the perimeters are loaded to GeoMAC databases, which support the GeoMAC Web application for access by wildland fire managers and the public. The wildland fire perimeters are viewed through the Web application. The data are subsequently archived according to year and state and are made available for downloading through the Internet in shapefile and Keyhole Markup Language (KML) format. These wildland fire perimeter data are also retained for historical, planning, and research purposes. The datasets that pertain to this report can be found on the Rocky Mountain Geographic Science Center HTTP site at http://rmgsc.cr.usgs.gov/outgoing/GeoMAC/historic_fire_data/. The links are also provided on the sidebar.

  1. Water sources and mixing in riparian wetlands revealed by tracers and geospatial analysis

    PubMed Central

    Tetzlaff, Doerthe; Birkel, Christian; Dick, Jonathan; Soulsby, Chris

    2016-01-01

    Abstract Mixing of waters within riparian zones has been identified as an important influence on runoff generation and water quality. Improved understanding of the controls on the spatial and temporal variability of water sources and how they mix in riparian zones is therefore of both fundamental and applied interest. In this study, we have combined topographic indices derived from a high‐resolution Digital Elevation Model (DEM) with repeated spatially high‐resolution synoptic sampling of multiple tracers to investigate such dynamics of source water mixing. We use geostatistics to estimate concentrations of three different tracers (deuterium, alkalinity, and dissolved organic carbon) across an extended riparian zone in a headwater catchment in NE Scotland, to identify spatial and temporal influences on mixing of source waters. The various biogeochemical tracers and stable isotopes helped constrain the sources of runoff and their temporal dynamics. Results show that spatial variability in all three tracers was evident in all sampling campaigns, but more pronounced in warmer dryer periods. The extent of mixing areas within the riparian area reflected strong hydroclimatic controls and showed large degrees of expansion and contraction that was not strongly related to topographic indices. The integrated approach of using multiple tracers, geospatial statistics, and topographic analysis allowed us to classify three main riparian source areas and mixing zones. This study underlines the importance of the riparian zones for mixing soil water and groundwater and introduces a novel approach how this mixing can be quantified and the effect on the downstream chemistry be assessed. PMID:27478256

  2. Geospatial Analysis of Near-Surface Soil Moisture Time Series Data Over Indian Region

    NASA Astrophysics Data System (ADS)

    Berwal, P.; Murthy, C. S.; Raju, P. V.; Sesha Sai, M. V. R.

    2016-06-01

    The present study has developed the time series database surface soil moisture over India, for June, July and August months for the period of 20 years from 1991 to 2010, using data products generated under Climate Change Initiative Programme of European Space Agency. These three months represent the crop sowing period in the prime cropping season in the country and the soil moisture data during this period is highly useful to detect the drought conditions and assess the drought impact. The time series soil moisture data which is in 0.25 degree spatial resolution was analyzed to generate different indicators. Rainfall data of same spatial resolution for the same period, generated by India Meteorological Department was also procured and analyzed. Geospatial analysis of soil moisture and rainfall derived indicators was carried out to study (1) inter annual variability of soil moisture and rainfall, (2) soil moisture deviations from normal during prominent drought years, (3) soil moisture and rainfall correlations and (4) drought exposure based on soil moisture and rainfall variability. The study has successfully demonstrated the potential of these soil moisture time series data sets for generating regional drought surveillance information products, drought hazard mapping, drought exposure analysis and detection of drought sensitive areas in the crop planting period.

  3. Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology

    PubMed Central

    Chase, Arlen F.; Fisher, Christopher T.; Leisz, Stephen J.; Weishampel, John F.

    2012-01-01

    The application of light detection and ranging (LiDAR), a laser-based remote-sensing technology that is capable of penetrating overlying vegetation and forest canopies, is generating a fundamental shift in Mesoamerican archaeology and has the potential to transform research in forested areas world-wide. Much as radiocarbon dating that half a century ago moved archaeology forward by grounding archaeological remains in time, LiDAR is proving to be a catalyst for an improved spatial understanding of the past. With LiDAR, ancient societies can be contextualized within a fully defined landscape. Interpretations about the scale and organization of densely forested sites no longer are constrained by sample size, as they were when mapping required laborious on-ground survey. The ability to articulate ancient landscapes fully permits a better understanding of the complexity of ancient Mesoamerican urbanism and also aids in modern conservation efforts. The importance of this geospatial innovation is demonstrated with newly acquired LiDAR data from the archaeological sites of Caracol, Cayo, Belize and Angamuco, Michoacán, Mexico. These data illustrate the potential of technology to act as a catalytic enabler of rapid transformational change in archaeological research and interpretation and also underscore the value of on-the-ground archaeological investigation in validating and contextualizing results. PMID:22802623

  4. Development of a watershed-based geospatial groundwater specific vulnerability assessment tool.

    PubMed

    Baloch, Mansoor A; Sahar, Liora

    2014-09-01

    This study assesses and characterizes the vulnerability of unregulated groundwater systems to microbial contamination in 18 counties in the state of Georgia using a contamination risk screening strategy based on watershed characteristics and elements of the Safe Drinking Water Act's Wellhead Protection program. Environmental data sources analyzed include septic systems, elevation, land use and land cover data, soil, vegetation coverage, demographics, and livestock. A geospatial overlay/index modeling approach was developed to identify areas of higher vulnerability for groundwater pollution by taking into consideration watershed land use, hydrology, and topography (LHT). Sensitivity analysis was used to evaluate the effectiveness of model variables. The results of the model were validated by using field data and output from U.S. EPA's DRASTIC model, a widely used intrinsic vulnerability assessment tool. The validation showed a higher risk of microbial contamination for wells located in a high to medium LHT vulnerability zones. LHT provided a clear distribution of satisfactory and unsatisfactory wells in the three vulnerability zones; however, the majority of wells (>75%), with both satisfactory and unsatisfactory test results, are located in medium DRASTIC vulnerability zone. This difference between LHT and DRASTIC can be attributed to the microbial contamination specific factors incorporated into LHT index. It is concluded that although inclusion of potential contamination sources on adjacent land uses in the vulnerability assessment framework adds to the complexity of the processes involved in a vulnerability assessment, such inclusion provides a meaningful perspective to groundwater protection efforts as an effective screening tool.

  5. A program for handling map projections of small-scale geospatial raster data

    USGS Publications Warehouse

    Finn, Michael P.; Steinwand, Daniel R.; Trent, Jason R.; Buehler, Robert A.; Mattli, David M.; Yamamoto, Kristina H.

    2012-01-01

    Scientists routinely accomplish small-scale geospatial modeling using raster datasets of global extent. Such use often requires the projection of global raster datasets onto a map or the reprojection from a given map projection associated with a dataset. The distortion characteristics of these projection transformations can have significant effects on modeling results. Distortions associated with the reprojection of global data are generally greater than distortions associated with reprojections of larger-scale, localized areas. The accuracy of areas in projected raster datasets of global extent is dependent on spatial resolution. To address these problems of projection and the associated resampling that accompanies it, methods for framing the transformation space, direct point-to-point transformations rather than gridded transformation spaces, a solution to the wrap-around problem, and an approach to alternative resampling methods are presented. The implementations of these methods are provided in an open-source software package called MapImage (or mapIMG, for short), which is designed to function on a variety of computer architectures.

  6. Environmental consequences of Pollution and its Impact on earth's surface climate Using Geospatial Technology

    NASA Astrophysics Data System (ADS)

    Kumar, Amit

    2016-07-01

    Modern transportation is an indispensable ingredient for development, allowing the pressure group of labor, supplies and goods, and enabling general public to access key resources and services. Climate change is a most important threat to sustainable development in any developing or developed country. Urban air pollution is on the rise, due to rapid economic and inhabitants growth and an increase in motorization. Modern transport is fundamental for improvement, allowing the movement of goods and enabling general public to access key resources and services. Travel today is relatively faster and people across the world are travelling more than ever before. Its stipulate regarding forecast is an indispensable part of transportation development in order to evaluate future needs of an urban area. Over increasing traffic concentration posed continued threat to ambient air quality and responsible for producing agents of physical condition hazards. Geospatial technology provides the smartest approach to resolve these inconvenience as it can cover a large area in a fraction of time. The research work focuses on the recognition of traffic intensities with increasing of SO2, NO2 and noise level considered at particular traffic sites in the Varanasi, Uttar Pradesh, India. SO2, NO2 and Noise levels recorded in the city, are much higher than the permissible level and are likely to causes associated health and psychological illnesses to nearby inhabitant.

  7. Environmental consequences of Pollution and its Impact on climate Using Geospatial Technology

    NASA Astrophysics Data System (ADS)

    Kumar, Amit; Vandana, Vandana

    2016-07-01

    Modern transportation is an indispensable ingredient for development, allowing the pressure group of labor, supplies and goods, and enabling general public to access key resources and services. Climate change is a most important threat to sustainable development in any developing or developed country. Urban air pollution is on the rise, due to rapid economic and inhabitants growth and an increase in motorization. Modern transport is fundamental for improvement, allowing the movement of goods and enabling general public to access key resources and services. Travel today is relatively faster and people across the world are travelling more than ever before. Its stipulate regarding forecast is an indispensable part of transportation development in order to evaluate future needs of an urban area. Over increasing traffic concentration posed continued threat to ambient air quality and responsible for producing agents of physical condition hazards. Geospatial technology provides the smartest approach to resolve these inconvenience as it can cover a large area in a fraction of time. The research work focuses on the recognition of traffic intensities with increasing of SO2, NO2 and noise level considered at particular traffic sites in the Varanasi, Uttar Pradesh, India. SO2, NO2 and Noise levels recorded in the city, are much higher than the permissible level and are likely to causes associated health and psychological illnesses to nearby inhabitant. Keywords: Population growth; Traffic; Transportation

  8. An Integrated Geospatial System for earthquake precursors assessment in Vrancea tectonic active zone in Romania

    NASA Astrophysics Data System (ADS)

    Zoran, Maria A.; Savastru, Roxana S.; Savastru, Dan M.

    2015-10-01

    With the development of space-based technologies to measure surface geophysical parameters and deformation at the boundaries of tectonic plates and large faults, earthquake science has entered a new era. Using time series satellite data for earthquake prediction, it is possible to pursue the behaviors of earthquake precursors in the future and to announce early warnings when the differences between the predicted value and the observed value exceed the pre-define threshold value. Starting with almost one week prior to a moderate or strong earthquake a transient thermal infrared rise in LST of several Celsius degrees (oC) and the increased OLR values higher than the normal have been recorded around epicentral areas, function of the magnitude and focal depth, which disappeared after the main shock. Also are recorded associated geomagnetic and ionospheric distrurbances. Vrancea tectonic active zone in Romania is characterized by a high seismic hazard in European- Mediterranean region, being responsible of strong or moderate intermediate depth and normal earthquakes generation on a confined epicentral area. Based on recorded geophysical parameters anomalies was developed an integrated geospatial system for earthquake precursors assessment in Vrancea active seismic zone. This system integrates derived from time series MODIS Terra/Aqua, NOAA-AVHRR, ASTER, Landsat TM/ETM satellite data multi geophysical parameters (land surface temperature -LST, outgoing long-wave radiation- OLR, and mean air temperature- AT as well as geomagnetic and ionospheric data in synergy with in-situ data for surveillance and forecasting of seismic events.

  9. Water sources and mixing in riparian wetlands revealed by tracers and geospatial analysis

    NASA Astrophysics Data System (ADS)

    Lessels, Jason S.; Tetzlaff, Doerthe; Birkel, Christian; Dick, Jonathan; Soulsby, Chris

    2016-01-01

    Mixing of waters within riparian zones has been identified as an important influence on runoff generation and water quality. Improved understanding of the controls on the spatial and temporal variability of water sources and how they mix in riparian zones is therefore of both fundamental and applied interest. In this study, we have combined topographic indices derived from a high-resolution Digital Elevation Model (DEM) with repeated spatially high-resolution synoptic sampling of multiple tracers to investigate such dynamics of source water mixing. We use geostatistics to estimate concentrations of three different tracers (deuterium, alkalinity, and dissolved organic carbon) across an extended riparian zone in a headwater catchment in NE Scotland, to identify spatial and temporal influences on mixing of source waters. The various biogeochemical tracers and stable isotopes helped constrain the sources of runoff and their temporal dynamics. Results show that spatial variability in all three tracers was evident in all sampling campaigns, but more pronounced in warmer dryer periods. The extent of mixing areas within the riparian area reflected strong hydroclimatic controls and showed large degrees of expansion and contraction that was not strongly related to topographic indices. The integrated approach of using multiple tracers, geospatial statistics, and topographic analysis allowed us to classify three main riparian source areas and mixing zones. This study underlines the importance of the riparian zones for mixing soil water and groundwater and introduces a novel approach how this mixing can be quantified and the effect on the downstream chemistry be assessed.

  10. Water sources and mixing in riparian wetlands revealed by tracers and geospatial analysis.

    PubMed

    Lessels, Jason S; Tetzlaff, Doerthe; Birkel, Christian; Dick, Jonathan; Soulsby, Chris

    2016-01-01

    Mixing of waters within riparian zones has been identified as an important influence on runoff generation and water quality. Improved understanding of the controls on the spatial and temporal variability of water sources and how they mix in riparian zones is therefore of both fundamental and applied interest. In this study, we have combined topographic indices derived from a high-resolution Digital Elevation Model (DEM) with repeated spatially high-resolution synoptic sampling of multiple tracers to investigate such dynamics of source water mixing. We use geostatistics to estimate concentrations of three different tracers (deuterium, alkalinity, and dissolved organic carbon) across an extended riparian zone in a headwater catchment in NE Scotland, to identify spatial and temporal influences on mixing of source waters. The various biogeochemical tracers and stable isotopes helped constrain the sources of runoff and their temporal dynamics. Results show that spatial variability in all three tracers was evident in all sampling campaigns, but more pronounced in warmer dryer periods. The extent of mixing areas within the riparian area reflected strong hydroclimatic controls and showed large degrees of expansion and contraction that was not strongly related to topographic indices. The integrated approach of using multiple tracers, geospatial statistics, and topographic analysis allowed us to classify three main riparian source areas and mixing zones. This study underlines the importance of the riparian zones for mixing soil water and groundwater and introduces a novel approach how this mixing can be quantified and the effect on the downstream chemistry be assessed.

  11. WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets

    NASA Astrophysics Data System (ADS)

    Krooks, A.; Kahkonen, J.; Lehto, L.; Latvala, P.; Karjalainen, M.; Honkavaara, E.

    2014-08-01

    Recent developments in spatial data infrastructures have enabled real time GIS analysis and visualization using open input data sources and service interfaces. In this study we present a new concept where metric point clouds derived from national open airborne laser scanning (ALS) and photogrammetric image data are processed, analyzed, finally visualised a through open service interfaces to produce user-driven analysis products from targeted areas. The concept is demonstrated in three environmental applications: assessment of forest storm damages, assessment of volumetric changes in open pit mine and 3D city model visualization. One of the main objectives was to study the usability and requirements of national level photogrammetric imagery in these applications. The results demonstrated that user driven 3D geospatial analyses were possible with the proposed approach and current technology, for instance, the landowner could assess the amount of fallen trees within his property borders after a storm easily using any web browser. On the other hand, our study indicated that there are still many uncertainties especially due to the insufficient standardization of photogrammetric products and processes and their quality indicators.

  12. USGS Geospatial Fabric and Geo Data Portal for Continental Scale Hydrology Simulations

    NASA Astrophysics Data System (ADS)

    Sampson, K. M.; Newman, A. J.; Blodgett, D. L.; Viger, R.; Hay, L.; Clark, M. P.

    2013-12-01

    This presentation describes use of United States Geological Survey (USGS) data products and server-based resources for continental-scale hydrologic simulations. The USGS Modeling of Watershed Systems (MoWS) group provides a consistent national geospatial fabric built on NHDPlus. They have defined more than 100,000 hydrologic response units (HRUs) over the continental United States based on points of interest (POIs) and split into left and right bank based on the corresponding stream segment. Geophysical attributes are calculated for each HRU that can be used to define parameters in hydrologic and land-surface models. The Geo Data Portal (GDP) project at the USGS Center for Integrated Data Analytics (CIDA) provides access to downscaled climate datasets and processing services via web-interface and python modules for creating forcing datasets for any polygon (such as an HRU). These resources greatly reduce the labor required for creating model-ready data in-house, contributing to efficient and effective modeling applications. We will present an application of this USGS cyber-infrastructure for assessments of impacts of climate change on hydrology over the continental United States.

  13. Geospatial data for coal beds in the Powder River Basin, Wyoming and Montana

    USGS Publications Warehouse

    Kinney, Scott A.; Scott, David C.; Osmonson, Lee M.; Luppens, James A.

    2015-01-01

    The purpose of this report is to provide geospatial data for various layers and themes in a Geographic Information System (GIS) format for the Powder River Basin, Wyoming and Montana. In 2015, as part of the U.S. Coal Resources and Reserves Assessment Project, the U.S. Geological Survey (USGS) completed an assessment of coal resources and reserves within the Powder River Basin, Wyoming and Montana. This report is supplemental to USGS Professional Paper 1809 and contains GIS data that can be used to view digital layers or themes, including the Tertiary limit of the Powder River Basin boundary, locations of drill holes, clinker, mined coal, land use and technical restrictions, geology, mineral estate ownership, coal thickness, depth to the top of the coal bed (overburden), and coal reliability categories. Larger scale maps may be viewed using the GIS data provided in this report supplemental to the page-size maps provided in USGS Professional Paper 1809. Additionally, these GIS data can be exported to other digital applications as needed by the user. The database used for this report contains a total of 29,928 drill holes, of which 21,393 are in the public domain. The public domain database is linked to the geodatabase in this report so that the user can access the drill-hole data through GIS applications. Results of this report are available at the USGS Energy Resources Program Web site,http://energy.usgs.gov/RegionalStudies/PowderRiverBasin.aspx.

  14. Uncertainty analysis in geospatial merit matrix–based hydropower resource assessment

    DOE PAGES

    Pasha, M. Fayzul K.; Yeasmin, Dilruba; Saetern, Sen; ...

    2016-03-30

    Hydraulic head and mean annual streamflow, two main input parameters in hydropower resource assessment, are not measured at every point along the stream. Translation and interpolation are used to derive these parameters, resulting in uncertainties. This study estimates the uncertainties and their effects on model output parameters: the total potential power and the number of potential locations (stream-reach). These parameters are quantified through Monte Carlo Simulation (MCS) linking with a geospatial merit matrix based hydropower resource assessment (GMM-HRA) Model. The methodology is applied to flat, mild, and steep terrains. Results show that the uncertainty associated with the hydraulic head ismore » within 20% for mild and steep terrains, and the uncertainty associated with streamflow is around 16% for all three terrains. Output uncertainty increases as input uncertainty increases. However, output uncertainty is around 10% to 20% of the input uncertainty, demonstrating the robustness of the GMM-HRA model. Hydraulic head is more sensitive to output parameters in steep terrain than in flat and mild terrains. Furthermore, mean annual streamflow is more sensitive to output parameters in flat terrain.« less

  15. Uncertainty analysis in geospatial merit matrix–based hydropower resource assessment

    SciTech Connect

    Pasha, M. Fayzul K.; Yeasmin, Dilruba; Saetern, Sen; Yang, Majntxov; Kao, Shih -Chieh; Smith, Brennan T.

    2016-03-30

    Hydraulic head and mean annual streamflow, two main input parameters in hydropower resource assessment, are not measured at every point along the stream. Translation and interpolation are used to derive these parameters, resulting in uncertainties. This study estimates the uncertainties and their effects on model output parameters: the total potential power and the number of potential locations (stream-reach). These parameters are quantified through Monte Carlo Simulation (MCS) linking with a geospatial merit matrix based hydropower resource assessment (GMM-HRA) Model. The methodology is applied to flat, mild, and steep terrains. Results show that the uncertainty associated with the hydraulic head is within 20% for mild and steep terrains, and the uncertainty associated with streamflow is around 16% for all three terrains. Output uncertainty increases as input uncertainty increases. However, output uncertainty is around 10% to 20% of the input uncertainty, demonstrating the robustness of the GMM-HRA model. Hydraulic head is more sensitive to output parameters in steep terrain than in flat and mild terrains. Furthermore, mean annual streamflow is more sensitive to output parameters in flat terrain.

  16. Synthesized Population Databases: A US Geospatial Database for Agent-Based Models.

    PubMed

    Wheaton, William D; Cajka, James C; Chasteen, Bernadette M; Wagener, Diane K; Cooley, Philip C; Ganapathi, Laxminarayana; Roberts, Douglas J; Allpress, Justine L

    2009-05-01

    Agent-based models simulate large-scale social systems. They assign behaviors and activities to "agents" (individuals) within the population being modeled and then allow the agents to interact with the environment and each other in complex simulations. Agent-based models are frequently used to simulate infectious disease outbreaks, among other uses.RTI used and extended an iterative proportional fitting method to generate a synthesized, geospatially explicit, human agent database that represents the US population in the 50 states and the District of Columbia in the year 2000. Each agent is assigned to a household; other agents make up the household occupants.For this database, RTI developed the methods for generating synthesized households and personsassigning agents to schools and workplaces so that complex interactions among agents as they go about their daily activities can be taken into accountgenerating synthesized human agents who occupy group quarters (military bases, college dormitories, prisons, nursing homes).In this report, we describe both the methods used to generate the synthesized population database and the final data structure and data content of the database. This information will provide researchers with the information they need to use the database in developing agent-based models.Portions of the synthesized agent database are available to any user upon request. RTI will extract a portion (a county, region, or state) of the database for users who wish to use this database in their own agent-based models.

  17. Interoperable cross-domain semantic and geospatial framework for automatic change detection

    NASA Astrophysics Data System (ADS)

    Kuo, Chiao-Ling; Hong, Jung-Hong

    2016-01-01

    With the increasingly diverse types of geospatial data established over the last few decades, semantic interoperability in integrated applications has attracted much interest in the field of Geographic Information System (GIS). This paper proposes a new strategy and framework to process cross-domain geodata at the semantic level. This framework leverages the semantic equivalence of concepts between domains through bridge ontology and facilitates the integrated use of different domain data, which has been long considered as an essential superiority of GIS, but is impeded by the lack of understanding about the semantics implicitly hidden in the data. We choose the task of change detection to demonstrate how the introduction of ontology concept can effectively make the integration possible. We analyze the common properties of geodata and change detection factors, then construct rules and summarize possible change scenario for making final decisions. The use of topographic map data to detect changes in land use shows promising success, as far as the improvement of efficiency and level of automation is concerned. We believe the ontology-oriented approach will enable a new way for data integration across different domains from the perspective of semantic interoperability, and even open a new dimensionality for the future GIS.

  18. Providing Geospatial Education and Real World Applications of Data across the Climate Initiative Themes

    NASA Astrophysics Data System (ADS)

    Weigel, A. M.; Griffin, R.; Bugbee, K.

    2015-12-01

    Various organizations such as the Group on Earth Observations (GEO) have developed a structure for general thematic areas in Earth science research, however the Climate Data Initiative (CDI) is addressing the challenging goal of organizing such datasets around core themes specifically related to climate change impacts. These thematic areas, which currently include coastal flooding, food resilience, ecosystem vulnerability, water, transportation, energy infrastructure, and human health, form the core of a new college course at the University of Alabama in Huntsville developed around real-world applications in the Earth sciences. The goal of this course is to educate students on the data available and scope of GIS applications in Earth science across the CDI climate themes. Real world applications and datasets serve as a pedagogical tool that provide a useful medium for instruction in scientific geospatial analysis and GIS software. With a wide range of potential research areas that fall under the rubric of "Earth science", thematic foci can help to structure a student's understanding of the potential uses of GIS across sub-disciplines, while communicating core data processing concepts. The learning modules and use-case scenarios for this course demonstrate the potential applications of CDI data to undergraduate and graduate Earth science students.

  19. Field Study of all GSM and WiFi Networks in Amman City from Geospatial Perspective

    NASA Astrophysics Data System (ADS)

    Hawarey, Mosab; Alibrahim, Mustafa; Jetto, Hamza; Salah Mahmoud, Firas

    2016-04-01

    A thorough field study over multiple months has been conducted in the streets of Amman, the capital city of Jordan, in order to collect massive amounts of GSM and WiFi data and analyze them from geospatial perspective. Some interesting realities have been detected; e.g. the North and West of Amman are much better served by GSM operators than the East, South, and Center. Also, the security measures taken to protect WiFi networks in the North and West are much better than those in the East, South, and Center. This has led to the recognition of an interesting pattern that groups the North and West together, while the East, South, and Center constitute another group. Extremely interesting finding was found; the GSM signals are so strong at certain locations that they constitute direct lethal threat to human health; it is scientifically documented that such strengths would lead to certain human cell mutations and cancer. The exact locations and contributors of such hazards will be disclosed in this paper for the first time. Many tabular and graphical presentations of the data will be presented.

  20. Elucidating hydraulic fracturing impacts on groundwater quality using a regional geospatial statistical modeling approach.

    PubMed

    Burton, Taylour G; Rifai, Hanadi S; Hildenbrand, Zacariah L; Carlton, Doug D; Fontenot, Brian E; Schug, Kevin A

    2016-03-01

    Hydraulic fracturing operations have been viewed as the cause of certain environmental issues including groundwater contamination. The potential for hydraulic fracturing to induce contaminant pathways in groundwater is not well understood since gas wells are completed while isolating the water table and the gas-bearing reservoirs lay thousands of feet below the water table. Recent studies have attributed ground water contamination to poor well construction and leaks in the wellbore annulus due to ruptured wellbore casings. In this paper, a geospatial model of the Barnett Shale region was created using ArcGIS. The model was used for spatial analysis of groundwater quality data in order to determine if regional variations in groundwater quality, as indicated by various groundwater constituent concentrations, may be associated with the presence of hydraulically fractured gas wells in the region. The Barnett Shale reservoir pressure, completions data, and fracture treatment data were evaluated as predictors of groundwater quality change. Results indicated that elevated concentrations of certain groundwater constituents are likely related to natural gas production in the study area and that beryllium, in this formation, could be used as an indicator variable for evaluating fracturing impacts on regional groundwater quality. Results also indicated that gas well density and formation pressures correlate to change in regional water quality whereas proximity to gas wells, by itself, does not. The results also provided indirect evidence supporting the possibility that micro annular fissures serve as a pathway transporting fluids and chemicals from the fractured wellbore to the overlying groundwater aquifers.

  1. Data management for geospatial vulnerability assessment of interdependencies in US power generation

    SciTech Connect

    Shih, C.Y.; Scown, C.D.; Soibelman, L.; Matthews, H.S.; Garrett, J.H.; Dodrill, K.; McSurdy, S.

    2009-09-15

    Critical infrastructures maintain our society's stability, security, and quality of life. These systems are also interdependent, which means that the disruption of one infrastructure system can significantly impact the operation of other systems. Because of the heavy reliance on electricity production, it is important to assess possible vulnerabilities. Determining the source of these vulnerabilities can provide insight for risk management and emergency response efforts. This research uses data warehousing and visualization techniques to explore the interdependencies between coal mines, rail transportation, and electric power plants. By merging geospatial and nonspatial data, we are able to model the potential impacts of a disruption to one or more mines, rail lines, or power plants, and visually display the results using a geographical information system. A scenario involving a severe earthquake in the New Madrid Seismic Zone is used to demonstrate the capabilities of the model when given input in the form of a potentially impacted area. This type of interactive analysis can help decision makers to understand the vulnerabilities of the coal distribution network and the potential impact it can have on electricity production.

  2. Comprehensive geo-spatial data creation for Najran region in the KSA

    NASA Astrophysics Data System (ADS)

    Alrajhi, M.; Hawarey, M.

    2009-04-01

    The General Directorate for Surveying and Mapping (GDSM) of the Deputy Ministry for Land and Surveying (DMLS) of the Ministry of Municipal and Rural Affairs (MOMRA) in the Kingdom of Saudi Arabia (KSA) has the exclusive mandate to carry out aerial photography and produce large-scale detailed maps for about 220 cities and villages in the KSA. This presentation is about the comprehensive geo-spatial data creation for the Najran region, South KSA, that was founded on country-wide horizontal geodetic ground control using Global Navigation Satellite Systems (GNSS) within the MOMRA's Terrestrial Reference Frame 2000 (MTRF2000) that is tied to International Terrestrial Reference Frame 2000 (ITRF2000) Epoch 2004.0, and vertical geodetic ground control using precise digital leveling in reference to Jeddah 1969 mean sea level, and included aerial photography of area 917 km2 at 1:5,500 scale and 14,304 km2 at 1:45,000 scale, full aerial triangulation, and production of orthophoto maps at scale of 1:10,000 (298 sheets) for 14,304 km2, with aerial photography lasting from May 2006 until July 2006.

  3. Path Network Recovery Using Remote Sensing Data and Geospatial-Temporal Semantic Graphs

    SciTech Connect

    William C. McLendon III; Brost, Randy C.

    2016-05-01

    Remote sensing systems produce large volumes of high-resolution images that are difficult to search. The GeoGraphy (pronounced Geo-Graph-y) framework [2, 20] encodes remote sensing imagery into a geospatial-temporal semantic graph representation to enable high level semantic searches to be performed. Typically scene objects such as buildings and trees tend to be shaped like blocks with few holes, but other shapes generated from path networks tend to have a large number of holes and can span a large geographic region due to their connectedness. For example, we have a dataset covering the city of Philadelphia in which there is a single road network node spanning a 6 mile x 8 mile region. Even a simple question such as "find two houses near the same street" might give unexpected results. More generally, nodes arising from networks of paths (roads, sidewalks, trails, etc.) require additional processing to make them useful for searches in GeoGraphy. We have assigned the term Path Network Recovery to this process. Path Network Recovery is a three-step process involving (1) partitioning the network node into segments, (2) repairing broken path segments interrupted by occlusions or sensor noise, and (3) adding path-aware search semantics into GeoQuestions. This report covers the path network recovery process, how it is used, and some example use cases of the current capabilities.

  4. Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology.

    PubMed

    Chase, Arlen F; Chase, Diane Z; Fisher, Christopher T; Leisz, Stephen J; Weishampel, John F

    2012-08-07

    The application of light detection and ranging (LiDAR), a laser-based remote-sensing technology that is capable of penetrating overlying vegetation and forest canopies, is generating a fundamental shift in Mesoamerican archaeology and has the potential to transform research in forested areas world-wide. Much as radiocarbon dating that half a century ago moved archaeology forward by grounding archaeological remains in time, LiDAR is proving to be a catalyst for an improved spatial understanding of the past. With LiDAR, ancient societies can be contextualized within a fully defined landscape. Interpretations about the scale and organization of densely forested sites no longer are constrained by sample size, as they were when mapping required laborious on-ground survey. The ability to articulate ancient landscapes fully permits a better understanding of the complexity of ancient Mesoamerican urbanism and also aids in modern conservation efforts. The importance of this geospatial innovation is demonstrated with newly acquired LiDAR data from the archaeological sites of Caracol, Cayo, Belize and Angamuco, Michoacán, Mexico. These data illustrate the potential of technology to act as a catalytic enabler of rapid transformational change in archaeological research and interpretation and also underscore the value of on-the-ground archaeological investigation in validating and contextualizing results.

  5. The use of U.S. Geological Survey digital geospatial data products for science research

    USGS Publications Warehouse

    Varanka, Dalia E.; Deering, Carol; Caro, Holly

    2012-01-01

    The development of geographic information system (GIS) transformed the practice of geographic science research. The availability of low-cost, reliable data by the U.S. Geological Survey (USGS) supported the advance of GIS in the early stages of the transition to digital technology. To estimate the extent of the scientific use of USGS digital geospatial data products, a search of science literature databases yielded numbers of articles citing USGS products. Though this method requires careful consideration to avoid false positives, these citation numbers of three types of products (vector, land-use/land-cover, and elevation data) were graphed, and the frequency trends were examined. Trends indicated that the use of several, but not all, products increased with time. The use of some products declined and reasons for these declines are offered. To better understand how these data affected the design and outcomes of research projects, the study begins to build a context for the data by discussing digital cartographic research preceding the production of mass-produced products. The data distribution methods used various media for different system types and were supported by instructional material. The findings are an initial assessment of the affect of USGS products on GIS-enabled science research. A brief examination of the specific papers indicates that USGS data were used for science and GIS conceptual research, advanced education, and problem analysis and solution applications.

  6. Landscape level assessment of critically endangered vegetation of Lakshadweep islands using geo-spatial techniques

    NASA Astrophysics Data System (ADS)

    Reddy, C. Sudhakar; Debnath, Bijan; Krishna, P. Hari; Jha, C. S.

    2013-04-01

    The conservation of biodiversity is essential for human survival and quality of the environment. Lakshadweep islands are vulnerable to global change and the representing remnant natural vegetation. Landscape fragmentation, disturbance regimes and biological richness have been studied using geo-spatial techniques. Littoral vegetation is the only natural vegetation type of Lakshadweep islands. Altogether 59 patches of the littoral vegetation occupying an area of 137.2 ha were identified. 58.06% of the littoral vegetation patches belongs to the patch-size class of <5 ha. The remnant natural vegetation surviving with patches of less than 20 ha size indicates severe anthropogenic pressure. The fragmentation of littoral vegetation habitat into smaller isolated patches poses one of the key threats to biodiversity and coastal environment. Phytosociological observations revealed distinct plant communities and presence of invasive species in littoral vegetation. The high disturbance areas accounted for 59.11% area of the total vegetation. The overall spatial distribution of biological richness (BR) in Lakshadweep shows maximum BR at low level (78%), followed by medium (19%), high (2%) and very high (1%). The study emphasises the importance of conserving the remnant natural vegetation, which is critically endangered.

  7. Geospatial strategy for sustainable management of municipal solid waste for growing urban environment.

    PubMed

    Pandey, Prem Chandra; Sharma, Laxmi Kant; Nathawat, Mahendra Singh

    2012-04-01

    This paper presents the implementation of a Geospatial approach for improving the Municipal Solid Waste (MSW) disposal suitability site assessment in growing urban environment. The increasing trend of population growth and the absolute amounts of waste disposed of worldwide have increased substantially reflecting changes in consumption patterns, consequently worldwide. MSW is now a bigger problem than ever. Despite an increase in alternative techniques for disposing of waste, land-filling remains the primary means. In this context, the pressures and requirements placed on decision makers dealing with land-filling by government and society have increased, as they now have to make decisions taking into considerations environmental safety and economic practicality. The waste disposed by the municipal corporation in the Bhagalpur City (India) is thought to be different from the landfill waste where clearly scientific criterion for locating suitable disposal sites does not seem to exist. The location of disposal sites of Bhagalpur City represents the unconsciousness about the environmental and public health hazards arising from disposing of waste in improper location. Concerning about urban environment and health aspects of people, a good method of waste management and appropriate technologies needed for urban area of Bhagalpur city to improve this trend using Multi Criteria Geographical Information System and Remote Sensing for selection of suitable disposal sites. The purpose of GIS was to perform process to part restricted to highly suitable land followed by using chosen criteria. GIS modeling with overlay operation has been used to find the suitability site for MSW.

  8. Bayesian spatio-temporal analysis and geospatial risk factors of human monocytic ehrlichiosis.

    PubMed

    Raghavan, Ram K; Neises, Daniel; Goodin, Douglas G; Andresen, Daniel A; Ganta, Roman R

    2014-01-01

    Variations in spatio-temporal patterns of Human Monocytic Ehrlichiosis (HME) infection in the state of Kansas, USA were examined and the relationship between HME relative risk and various environmental, climatic and socio-economic variables were evaluated. HME data used in the study was reported to the Kansas Department of Health and Environment between years 2005-2012, and geospatial variables representing the physical environment [National Land cover/Land use, NASA Moderate Resolution Imaging Spectroradiometer (MODIS)], climate [NASA MODIS, Prediction of Worldwide Renewable Energy (POWER)], and socio-economic conditions (US Census Bureau) were derived from publicly available sources. Following univariate screening of candidate variables using logistic regressions, two Bayesian hierarchical models were fit; a partial spatio-temporal model with random effects and a spatio-temporal interaction term, and a second model that included additional covariate terms. The best fitting model revealed that spatio-temporal autocorrelation in Kansas increased steadily from 2005-2012, and identified poverty status, relative humidity, and an interactive factor, 'diurnal temperature range x mixed forest area' as significant county-level risk factors for HME. The identification of significant spatio-temporal pattern and new risk factors are important in the context of HME prevention, for future research in the areas of ecology and evolution of HME, and as well as climate change impacts on tick-borne diseases.

  9. Optimization of Land Use Suitability for Agriculture Using Integrated Geospatial Model and Genetic Algorithms

    NASA Astrophysics Data System (ADS)

    Mansor, S. B.; Pormanafi, S.; Mahmud, A. R. B.; Pirasteh, S.

    2012-08-01

    In this study, a geospatial model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the infrastructural preference. The model was developed based on multi-agent genetic algorithm. The model was customized to accommodate the constraint set for the study area, namely the resource saving and environmental-friendly. The model was then applied to solve the practical multi-objective spatial optimization allocation problems of land use in the core region of Menderjan Basin in Iran. The first task was to study the dominant crops and economic suitability evaluation of land. Second task was to determine the fitness function for the genetic algorithms. The third objective was to optimize the land use map using economical benefits. The results has indicated that the proposed model has much better performance for solving complex multi-objective spatial optimization allocation problems and it is a promising method for generating land use alternatives for further consideration in spatial decision-making.

  10. Comprehensive geo-spatial data creation for Ar-Riyadh region in the KSA

    NASA Astrophysics Data System (ADS)

    Alrajhi, M.; Hawarey, M.

    2009-04-01

    The General Directorate for Surveying and Mapping (GDSM) of the Deputy Ministry for Land and Surveying (DMLS) of the Ministry of Municipal and Rural Affairs (MOMRA) in the Kingdom of Saudi Arabia (KSA) has the exclusive mandate to carry out aerial photography and produce large-scale detailed maps for about 220 cities and villages in the KSA. This presentation is about the comprehensive geo-spatial data creation for the Ar-Riyadh region, Central KSA, that was founded on country-wide horizontal geodetic ground control using Global Navigation Satellite Systems (GNSS) within the MOMRA's Terrestrial Reference Frame 2000 (MTRF2000) that is tied to International Terrestrial Reference Frame 2000 (ITRF2000) Epoch 2004.0, and vertical geodetic ground control using precise digital leveling in reference to Jeddah 1969 mean sea level, and included aerial photography of area 3,000 km2 at 1:5,500 scale and 10,000 km2 at 1:45,000 scale, full aerial triangulation, and production of orthophoto maps at scale of 1:10,000 (480 sheets) for 10,000 km2, with aerial photography lasting from July 2007 thru August 2007.

  11. Integrating Remote Sensing Data with Directional Two- Dimensional Wavelet Analysis and Open Geospatial Techniques for Efficient Disaster Monitoring and Management.

    PubMed

    Lin, Yun-Bin; Lin, Yu-Pin; Deng, Dong-Po; Chen, Kuan-Wei

    2008-02-19

    In Taiwan, earthquakes have long been recognized as a major cause oflandslides that are wide spread by floods brought by typhoons followed. Distinguishingbetween landslide spatial patterns in different disturbance regimes is fundamental fordisaster monitoring, management, and land-cover restoration. To circumscribe landslides,this study adopts the normalized difference vegetation index (NDVI), which can bedetermined by simply applying mathematical operations of near-infrared and visible-redspectral data immediately after remotely sensed data is acquired. In real-time disastermonitoring, the NDVI is more effective than using land-cover classifications generatedfrom remotely sensed data as land-cover classification tasks are extremely time consuming.Directional two-dimensional (2D) wavelet analysis has an advantage over traditionalspectrum analysis in that it determines localized variations along a specific direction whenidentifying dominant modes of change, and where those modes are located in multi-temporal remotely sensed images. Open geospatial techniques comprise a series ofsolutions developed based on Open Geospatial Consortium specifications that can beapplied to encode data for interoperability and develop an open geospatial service for sharing data. This study presents a novel approach and framework that uses directional 2Dwavelet analysis of real-time NDVI images to effectively identify landslide patterns andshare resulting patterns via open geospatial techniques. As a case study, this study analyzedNDVI images derived from SPOT HRV images before and after the ChiChi earthquake(7.3 on the Richter scale) that hit the Chenyulan basin in Taiwan, as well as images aftertwo large typhoons (Xangsane and Toraji) to delineate the spatial patterns of landslidescaused by major disturbances. Disturbed spatial patterns of landslides that followed theseevents were successfully delineated using 2D wavelet analysis, and results of patternrecognitions of landslides were

  12. GEO Label Web Services for Dynamic and Effective Communication of Geospatial Metadata Quality

    NASA Astrophysics Data System (ADS)

    Lush, Victoria; Nüst, Daniel; Bastin, Lucy; Masó, Joan; Lumsden, Jo

    2014-05-01

    We present demonstrations of the GEO label Web services and their integration into a prototype extension of the GEOSS portal (http://scgeoviqua.sapienzaconsulting.com/web/guest/geo_home), the GMU portal (http://gis.csiss.gmu.edu/GADMFS/) and a GeoNetwork catalog application (http://uncertdata.aston.ac.uk:8080/geonetwork/srv/eng/main.home). The GEO label is designed to communicate, and facilitate interrogation of, geospatial quality information with a view to supporting efficient and effective dataset selection on the basis of quality, trustworthiness and fitness for use. The GEO label which we propose was developed and evaluated according to a user-centred design (UCD) approach in order to maximise the likelihood of user acceptance once deployed. The resulting label is dynamically generated from producer metadata in ISO or FDGC format, and incorporates user feedback on dataset usage, ratings and discovered issues, in order to supply a highly informative summary of metadata completeness and quality. The label was easily incorporated into a community portal as part of the GEO Architecture Implementation Programme (AIP-6) and has been successfully integrated into a prototype extension of the GEOSS portal, as well as the popular metadata catalog and editor, GeoNetwork. The design of the GEO label was based on 4 user studies conducted to: (1) elicit initial user requirements; (2) investigate initial user views on the concept of a GEO label and its potential role; (3) evaluate prototype label visualizations; and (4) evaluate and validate physical GEO label prototypes. The results of these studies indicated that users and producers support the concept of a label with drill-down interrogation facility, combining eight geospatial data informational aspects, namely: producer profile, producer comments, lineage information, standards compliance, quality information, user feedback, expert reviews, and citations information. These are delivered as eight facets of a wheel

  13. Geospatializing The Klang Gate Quartz Ridge in Malaysia: A Technological Perspective

    NASA Astrophysics Data System (ADS)

    Azahari Razak, Khamarrul; Mohamad, Zakaria; Zaki Ibrahim, Mohd; Azad Rosle, Qalam; Hattanajmie Abd Wahab, Mohd; Abu Bakar, Rabieahtul; Mohd Akib, Wan Abdul Aziz Wan

    2015-04-01

    and characterization of Quartz Ridge has shown promising results and advancing some hypothesis. The modern topographic laser scanning system proved suitable for such complex environment. The Quartz Ridge in Genting Klang, Selangor, believed to be the longest ridge in the world are now preserved in a digital form and can be quantitatively analysed. Many primary and secondary data can be generated and contributed to other studies, e.g. the determination of instability slope zone and rock-fall assessment along the ridge. Remarkably, this study is a first scientific exploration on the use of advanced geo-information tool, notably laser-based mapping to record, identify, and characterize the Quartz Ridge in Genting Klang, Selangor. The recent and modern geospatial data of tropical quartz in an urban forested environment provides technical and scientific spatial data of the longest quartz ridge. The geodatabase of Klang Gate Quartz Ridge allows the integration of multi-sensor-scales of remotely sensed data with other flora and fauna data in the area. As a conclusion, this study provides an accurate physical characteristic of prominent geological structures in Selangor, and its geospatial data is leading to a better compilation of comprehensive digital record of Quartz Ridge for conserving national geoheritage, promoting geotourism, and supporting its listing effort to the UNESCO's World Heritage Site in the near future.

  14. Eruptive history, current activity and risk estimation using geospatial information in the Colima volcano, Mexico

    NASA Astrophysics Data System (ADS)

    Suarez-Plascencia, C.; Camarena-Garcia, M.; Nunez-Cornu, F. J.; Flores-Peña, S.

    2013-12-01

    avocado orchards and fruits like blueberries, raspberries, and blackberries within the radius of 15 km from the crater. The population dynamics in the Colima volcano area had a population of 552,954 inhabitants in 2010, and a growth at an annual rate of 1.6 percent of the total population. 60 percent of the populations live in 105 towns with a population less than 250 inhabitants. Also, the region showed an increase in vulnerability for the development of economic activities, supported by the highway, railway, natural gas pipelines and electrical infrastructure that connect to the Port of Manzanillo to Guadalajara city. With the use of geospatial information quantify the vulnerability, together with the hazard maps and exposure, enabled us to build the following volcanic risk maps: a) Exclusion areas and moderate hazard for explosive events (ballistic) and pyroclastic flows, b) Hazard map of lahars and debris flow, and c) Hazard map of ash-fall. The geospatial database, a GIS mapping and current volcano monitoring, are the basis of the Operational Plan Colima Volcano. Civil Protection by the state of Jalisco and the updating of urban development plans of municipalities converge on the volcano. These instruments of land planning will help reduce volcanic risk in the region.

  15. Globalization and Mobilization of Earth Science Education with GeoBrain Geospatial Web Service Technology

    NASA Astrophysics Data System (ADS)

    Deng, M.; di, L.

    2005-12-01

    The needs for Earth science education to prepare students as globally-trained geoscience workforce increase tremendously with globalization of the economy. However, current academic programs often have difficulties in providing students world-view training or experiences with global context due to lack of resources and suitable teaching technology. This paper presents a NASA funded project with insights and solutions to this problem. The project aims to establish a geospatial data-rich learning and research environment that enable the students, faculty and researchers from institutes all over the world easily accessing, analyzing and modeling with the huge amount of NASA EOS data just like they possess those vast resources locally at their desktops. With the environment, classroom demonstration and training for students to deal with global climate and environment issues for any part of the world are possible in any classroom with Internet connection. Globalization and mobilization of Earth science education can be truly realized through the environment. This project, named as NASA EOS Higher Education Alliance: Mobilization of NASA EOS Data and Information through Web Services and Knowledge Management Technologies for Higher Education Teaching and Research, is built on profound technology and infrastructure foundations including web service technology, NASA EOS data resources, and open interoperability standards. An open, distributed, standard compliant, interoperable web-based system, called GeoBrain, is being developed by this project to provide a data-rich on-line learning and research environment. The system allows users to dynamically and collaboratively develop interoperable, web-executable geospatial process and analysis modules and models, and run them on-line against any part of the peta-byte archives for getting back the customized information products rather than raw data. The system makes a data-rich globally-capable Earth science learning and research

  16. Geospatial Technologies and i-Tree Echo Inventory for Predicting Climate Change on Urban Environment

    NASA Astrophysics Data System (ADS)

    Sriharan, S.; Robinson, L.; Ghariban, N.; Comar, M.; Pope, B.; Frey, G.

    2015-12-01

    Urban forests can be useful both in mitigating climate change and in helping cities adapt to higher temperatures and other impacts of climate change. Understanding and managing the impacts of climate change on the urban forest trees and natural communities will help us maintain their environmental, cultural, and economic benefits. Tree Inventory can provide important information on tree species, height, crown width, overall condition, health and maintenance needs. This presentation will demonstrate that a trees database system is necessary for developing a sustainable urban tree program. Virginia State University (VSU) campus benefits from large number and diversity of trees that are helping us by cleaning the air, retaining water, and providing shade on the buildings to reduce energy cost. The objectives of this study were to develop campus inventory of the trees, identify the tree species, map the locations of the trees with user-friendly tools such as i-Tree Eco and geospatial technologies by assessing the cost/benefit of employing student labor for training and ground validation of the results, and help campus landscape managers implement adaptive responses to climate change impacts. Data was collected on the location, species, and size of trees by using i-Tree urban forestry analysis software. This data was transferred to i-Tree inventory system for demonstrating types of trees, diameter of the trees, height of the trees, and vintage of the trees. The study site was mapped by collecting waypoints with GPS (Global Positioning System) at the trees and uploading these waypoints in ArcMap. The results of this study showed that: (i) students make good field crews, (ii) if more trees were placed in the proper area, the heating and cooling costs will reduce, and (iii) trees database system is necessary for planning, designing, planting, and maintenance, and removal of campus trees Research sponsored by the NIFA Grant, "Urban Forestry Management" (2012-38821-20153).

  17. A geospatial comparison of distributed solar heat and power in Europe and the US.

    PubMed

    Norwood, Zack; Nyholm, Emil; Otanicar, Todd; Johnsson, Filip

    2014-01-01

    The global trends for the rapid growth of distributed solar heat and power in the last decade will likely continue as the levelized cost of production for these technologies continues to decline. To be able to compare the economic potential of solar technologies one must first quantify the types and amount of solar resource that each technology can utilize; second, estimate the technological performance potential based on that resource; and third, compare the costs of each technology across regions. In this analysis, we have performed the first two steps in this process. We use physical and empirically validated models of a total of 8 representative solar system types: non-tracking photovoltaics, 2d-tracking photovoltaics, high concentration photovoltaics, flat-plate thermal, evacuated tube thermal, concentrating trough thermal, concentrating solar combined heat and power, and hybrid concentrating photovoltaic/thermal. These models are integrated into a simulation that uses typical meteorological year weather data to create a yearly time series of heat and electricity production for each system over 12,846 locations in Europe and 1,020 locations in the United States. Through this simulation, systems composed of various permutations of collector-types and technologies can be compared geospatially and temporally in terms of their typical production in each location. For example, we see that silicon solar cells show a significant advantage in yearly electricity production over thin-film cells in the colder climatic regions, but that advantage is lessened in regions that have high average irradiance. In general, the results lead to the conclusion that comparing solar technologies across technology classes simply on cost per peak watt, as is usually done, misses these often significant regional differences in annual performance. These results have implications for both solar power development and energy systems modeling of future pathways of the electricity system.

  18. Moving Toward an Optimal and Automated Geospatial Network for CCUS Infrastructure

    SciTech Connect

    Hoover, Brendan Arthur

    2016-08-05

    Modifications in the global climate are being driven by the anthropogenic release of greenhouse gases (GHG) including carbon dioxide (CO2) (Middleton et al. 2014). CO2 emissions have, for example, been directly linked to an increase in total global temperature (Seneviratne et al. 2016). Strategies that limit CO2 emissions—like CO2 capture, utilization, and storage (CCUS) technology—can greatly reduce emissions by capturing CO2 before it is released to the atmosphere. However, to date CCUS technology has not been developed at a large commercial scale despite several promising high profile demonstration projects (Middleton et al. 2015). Current CCUS research has often focused on capturing CO2 emissions from coal-fired power plants, but recent research at Los Alamos National Laboratory (LANL) suggests focusing CCUS CO2 capture research upon industrial sources might better encourage CCUS deployment. To further promote industrial CCUS deployment, this project builds off current LANL research by continuing the development of a software tool called SimCCS, which estimates a regional system of transport to inject CO2 into sedimentary basins. The goal of SimCCS, which was first developed by Middleton and Bielicki (2009), is to output an automated and optimal geospatial industrial CCUS pipeline that accounts for industrial source and sink locations by estimating a Delaunay triangle network which also minimizes topographic and social costs (Middleton and Bielicki 2009). Current development of SimCCS is focused on creating a new version that accounts for spatial arrangements that were not available in the previous version. This project specifically addresses the issue of non-unique Delaunay triangles by adding additional triangles to the network, which can affect how the CCUS network is calculated.

  19. Prototyping a Sensor Enabled 3d Citymodel on Geospatial Managed Objects

    NASA Astrophysics Data System (ADS)

    Kjems, E.; Kolář, J.

    2013-09-01

    One of the major development efforts within the GI Science domain are pointing at sensor based information and the usage of real time information coming from geographic referenced features in general. At the same time 3D City models are mostly justified as being objects for visualization purposes rather than constituting the foundation of a geographic data representation of the world. The combination of 3D city models and real time information based systems though can provide a whole new setup for data fusion within an urban environment and provide time critical information preserving our limited resources in the most sustainable way. Using 3D models with consistent object definitions give us the possibility to avoid troublesome abstractions of reality, and design even complex urban systems fusing information from various sources of data. These systems are difficult to design with the traditional software development approach based on major software packages and traditional data exchange. The data stream is varying from urban domain to urban domain and from system to system why it is almost impossible to design a complete system taking care of all thinkable instances now and in the future within one constraint software design complex. On several occasions we have been advocating for a new end advanced formulation of real world features using the concept of Geospatial Managed Objects (GMO). This paper presents the outcome of the InfraWorld project, a 4 million Euro project financed primarily by the Norwegian Research Council where the concept of GMO's have been applied in various situations on various running platforms of an urban system. The paper will be focusing on user experiences and interfaces rather then core technical and developmental issues. The project was primarily focusing on prototyping rather than realistic implementations although the results concerning applicability are quite clear.

  20. Landscape-scale geospatial research utilizing low elevation aerial photography generated with commercial unmanned aerial systems

    NASA Astrophysics Data System (ADS)

    Lipo, C. P.; Lee, C.; Wechsler, S.

    2012-12-01

    With the ability to generate on demand high-resolution imagery across landscapes, unmanned aerial systems (UAS) are increasingly become the tools of choice for geospatial researchers. At CSULB, we have implemented a number of aerial systems in order to conduct archaeological, vegetation and terrain analyses. The platforms include the commercially available X100 by Gatewing, a hobby based aircraft, kites, and tethered blimps. From our experience, each platform has advantages and disadvantages n applicability int eh field and derived imagery. The X100, though comparatively more costly, produces images with excellent coverage of areas of interest and can fly in a wide range of weather conditions. The hobby plane solutions are low-cost and flexible in their configuration but their relative lightweight makes them difficult to fly in windy conditions and the sets of images produced can widely vary. The tethered blimp has a large payload and can fly under many conditions but its ability to systematically cover large areas is very limited. Kites are extremely low-cost but have similar limitations to blimps for area coverage and limited payload capabilities. Overall, we have found the greatest return for our investment from the Gatewing X100, despite its relatively higher cost, due to the quality of the images produced. Developments in autopilots, however, may improve the hobby aircraft solution and allow X100 like products to be produced in the near future. Results of imagery and derived products from these UAS missions will be presented and evaluated. Assessment of the viability of these UAS-products will inform the research community of their applicability to a range of applications, and if viable, could provide a lower cost alternative to other image acquisition methods.

  1. Environmental Model Interoperability Enabled by Open Geospatial Standards - Results of a Feasibility Study (Invited)

    NASA Astrophysics Data System (ADS)

    Benedict, K. K.; Yang, C.; Huang, Q.

    2010-12-01

    The availability of high-speed research networks such as the US National Lambda Rail and the GÉANT network, scalable on-demand commodity computing resources provided by public and private "cloud" computing systems, and increasing demand for rapid access to the products of environmental models for both research and public policy development contribute to a growing need for the evaluation and development of environmental modeling systems that distribute processing, storage, and data delivery capabilities between network connected systems. In an effort to address the feasibility of developing a standards-based distributed modeling system in which model execution systems are physically separate from data storage and delivery systems, the research project presented in this paper developed a distributed dust forecasting system in which two nested atmospheric dust models are executed at George Mason University (GMU, in Fairfax, VA) while data and model output processing services are hosted at the University of New Mexico (UNM, in Albuquerque, NM). Exchange of model initialization and boundary condition parameters between the servers at UNM and the model execution systems at GMU is accomplished through Open Geospatial Consortium (OGC) Web Coverage Services (WCS) and Web Feature Services (WFS) while model outputs are pushed from GMU systems back to UNM using a REST web service interface. In addition to OGC and non-OGC web services for exchange between UNM and GMU, the servers at UNM also provide access to the input meteorological model products, intermediate and final dust model outputs, and other products derived from model outputs through OGC WCS, WFS, and OGC Web Map Services (WMS). The performance of the nested versus non-nested models is assessed in this research, with the results of the performance analysis providing the core content of the produced feasibility study. System integration diagram illustrating the storage and service platforms hosted at the Earth Data

  2. Geospatial Predictive Modelling for Climate Mapping of Selected Severe Weather Phenomena Over Poland: A Methodological Approach

    NASA Astrophysics Data System (ADS)

    Walawender, Ewelina; Walawender, Jakub P.; Ustrnul, Zbigniew

    2017-02-01

    The main purpose of the study is to introduce methods for mapping the spatial distribution of the occurrence of selected atmospheric phenomena (thunderstorms, fog, glaze and rime) over Poland from 1966 to 2010 (45 years). Limited in situ observations as well the discontinuous and location-dependent nature of these phenomena make traditional interpolation inappropriate. Spatially continuous maps were created with the use of geospatial predictive modelling techniques. For each given phenomenon, an algorithm identifying its favourable meteorological and environmental conditions was created on the basis of observations recorded at 61 weather stations in Poland. Annual frequency maps presenting the probability of a day with a thunderstorm, fog, glaze or rime were created with the use of a modelled, gridded dataset by implementing predefined algorithms. Relevant explanatory variables were derived from NCEP/NCAR reanalysis and downscaled with the use of a Regional Climate Model. The resulting maps of favourable meteorological conditions were found to be valuable and representative on the country scale but at different correlation ( r) strength against in situ data (from r = 0.84 for thunderstorms to r = 0.15 for fog). A weak correlation between gridded estimates of fog occurrence and observations data indicated the very local nature of this phenomenon. For this reason, additional environmental predictors of fog occurrence were also examined. Topographic parameters derived from the SRTM elevation model and reclassified CORINE Land Cover data were used as the external, explanatory variables for the multiple linear regression kriging used to obtain the final map. The regression model explained 89 % of annual frequency of fog variability in the study area. Regression residuals were interpolated via simple kriging.

  3. Landscape Characterization of Arctic Ecosystems Using Data Mining Algorithms and Large Geospatial Datasets

    NASA Astrophysics Data System (ADS)

    Langford, Z. L.; Kumar, J.; Hoffman, F. M.

    2015-12-01

    Observations indicate that over the past several decades, landscape processes in the Arctic have been changing or intensifying. A dynamic Arctic landscape has the potential to alter ecosystems across a broad range of scales. Accurate characterization is useful to understand the properties and organization of the landscape, optimal sampling network design, measurement and process upscaling and to establish a landscape-based framework for multi-scale modeling of ecosystem processes. This study seeks to delineate the landscape at Seward Peninsula of Alaska into ecoregions using large volumes (terabytes) of high spatial resolution satellite remote-sensing data. Defining high-resolution ecoregion boundaries is difficult because many ecosystem processes in Arctic ecosystems occur at small local to regional scales, which are often resolved in by coarse resolution satellites (e.g., MODIS). We seek to use data-fusion techniques and data analytics algorithms applied to Phased Array type L-band Synthetic Aperture Radar (PALSAR), Interferometric Synthetic Aperture Radar (IFSAR), Satellite for Observation of Earth (SPOT), WorldView-2, WorldView-3, and QuickBird-2 to develop high-resolution (˜5m) ecoregion maps for multiple time periods. Traditional analysis methods and algorithms are insufficient for analyzing and synthesizing such large geospatial data sets, and those algorithms rarely scale out onto large distributed- memory parallel computer systems. We seek to develop computationally efficient algorithms and techniques using high-performance computing for characterization of Arctic landscapes. We will apply a variety of data analytics algorithms, such as cluster analysis, complex object-based image analysis (COBIA), and neural networks. We also propose to use representativeness analysis within the Seward Peninsula domain to determine optimal sampling locations for fine-scale measurements. This methodology should provide an initial framework for analyzing dynamic landscape

  4. A Geospatial Comparison of Distributed Solar Heat and Power in Europe and the US

    PubMed Central

    Norwood, Zack; Nyholm, Emil; Otanicar, Todd; Johnsson, Filip

    2014-01-01

    The global trends for the rapid growth of distributed solar heat and power in the last decade will likely continue as the levelized cost of production for these technologies continues to decline. To be able to compare the economic potential of solar technologies one must first quantify the types and amount of solar resource that each technology can utilize; second, estimate the technological performance potential based on that resource; and third, compare the costs of each technology across regions. In this analysis, we have performed the first two steps in this process. We use physical and empirically validated models of a total of 8 representative solar system types: non-tracking photovoltaics, 2d-tracking photovoltaics, high concentration photovoltaics, flat-plate thermal, evacuated tube thermal, concentrating trough thermal, concentrating solar combined heat and power, and hybrid concentrating photovoltaic/thermal. These models are integrated into a simulation that uses typical meteorological year weather data to create a yearly time series of heat and electricity production for each system over 12,846 locations in Europe and 1,020 locations in the United States. Through this simulation, systems composed of various permutations of collector-types and technologies can be compared geospatially and temporally in terms of their typical production in each location. For example, we see that silicon solar cells show a significant advantage in yearly electricity production over thin-film cells in the colder climatic regions, but that advantage is lessened in regions that have high average irradiance. In general, the results lead to the conclusion that comparing solar technologies across technology classes simply on cost per peak watt, as is usually done, misses these often significant regional differences in annual performance. These results have implications for both solar power development and energy systems modeling of future pathways of the electricity system. PMID

  5. Synergistic use of geospatial and in-situ data for earthquake hazard assessment in Vrancea area

    NASA Astrophysics Data System (ADS)

    Zoran, M. A.; Savastru, R. S.; Savastru, D. M.

    2016-08-01

    Space-time anomalies of Earth's emitted radiation: thermal infrared in spectral range measured from satellite months to weeks before the occurrence of earthquakes, radon in underground water and soil, etc., and electromagnetic anomalies are considered as pre-seismic signals. Satellite remote sensing provides spatially continuous information of the tectonic landscape but also contribute to the understanding of specific fault and information about stress transfer between fault systems from depth and to the surface as well as on released energy by earthquakes and other modes of deformation. This paper presents observations made using time series MODIS Terra/Aqua, NOAA-AVHRR, Landsat satellite data for derived multi-parameters land surface temperature (LST), outgoing long-wave radiation (OLR), and mean air temperature (AT) for some seismic events recorded in Vrancea active geotectonic region in Romania. For some analyzed earthquakes, starting with almost one week prior to a moderate or strong earthquake a transient thermal infrared rise in LST of several Celsius degrees (oC) and the increased OLR values higher than the normal function of the magnitude and focal depth, which disappeared after the main shock. Synergy of multisenzor and multitemporal satellite data with in-situ and GPS data and spatial analysis of magnitude-frequency distributions of Vrancea earthquakes provides more information on Vrancea area seismicity. Earthquake hazard assessment for Vrancea region in Romania must have different degrees of complexity, which consists of derived geospatial and in-situ geophysical/geodetic parameters monitoring, analysis, predictive modeling, and forecast-oriented as well as decision-making procedures.

  6. Landslide Susceptibility Mapping Using Geospatial Technology in South Eastern Part of Nilgiri District, Tamilnadu, India

    NASA Astrophysics Data System (ADS)

    Thangasamy, N.; Varathan, R.

    2013-05-01

    Landslides are often destructive and periodically affect the Nilgiris district. Two method viz., Frequency ratio (FR) and Weights of evidence (WofE) were used to reclassify the sub-variables and the landslide susceptibility index (LSI) was calculated by weighted sum overlay analysis. The final LS Zonation map was prepared from the LSI and the area was classified into two zones. Validation of the LSM was the next step and was accomplished by excluding some landslide points in the GIS analyses and overlying the unused landslides points over the LSM. The LSMs prepared using the FR and WofE methods are reliable as more than 75% of the excluded slides fall in high and very high landslide susceptibility zones and the error of mismatch in the two maps is negligible.During the course of this study landslides devastated the Kethi, Coonoor, Barliyar and Kothagiri areas due to an extreme event with 374 to 1,171 mm rainfall received in these stations in just three days on 8th to 10th November, 2009. The rainfall event is unprecedented and such extreme rainfall has not occurred in the region since meteorological records are maintained. Over 100 landslides took place in the area of which 75 are major slides and more 43 people died and 200 houses were damaged. The event was documented and a data base containing the location, details of death, slide characteristics and photographs was prepared. Further, the probability of landslide occurrence may change over time due to changes in land use, unscientific massive developmental activities and establishing settlements without adopting proper safety measures. The study also highlights the need for maintenance of landslide database and installation of more rain gauge stations to update and improve the LSM so as to reduce the risk of landslide hazard faced by the Community. NaveenRaj.T INDIA LANDSLIDE SUSCEPTIBILITY MAPPING USING GEOSPATIAL TECHNOLOGY IN SOUTH EASTERN PART OF NILGIRI DISTRICT, TAMILNADU, INDIA.

  7. WC WAVE - Integrating Diverse Hydrological-Modeling Data and Services Into an Interoperable Geospatial Infrastructure

    NASA Astrophysics Data System (ADS)

    Hudspeth, W. B.; Baros, S.; Barrett, H.; Savickas, J.; Erickson, J.

    2015-12-01

    WC WAVE (Western Consortium for Watershed Analysis, Visualization and Exploration) is a collaborative research project between the states of Idaho, Nevada, and New Mexico that is funded under the National Science Foundation's Experimental Program to Stimulate Competitive Research (EPSCoR). The goal of the project is to understand and document the effects of climate change on interactions between precipitation, vegetation growth, soil moisture and other landscape properties. These interactions are modeled within a framework we refer to as a virtual watershed (VW), a computer infrastructure that simulates watershed dynamics by linking scientific modeling, visualization, and data management components into a coherent whole. Developed and hosted at the Earth Data Analysis Center, University of New Mexico, the virtual watershed has a number of core functions which include: a) streamlined access to data required for model initialization and boundary conditions; b) the development of analytic scenarios through interactive visualization of available data and the storage of model configuration options; c) coupling of hydrological models through the rapid assimilation of model outputs into the data management system for access and use by sequent models. The WC-WAVE virtual watershed accomplishes these functions by provision of large-scale vector and raster data discovery, subsetting, and delivery via Open Geospatial Consortium (OGC) and REST web service standards. Central to the virtual watershed is the design and use of an innovative array of metadata elements that permits the stepwise coupling of diverse hydrological models (e.g. ISNOBAL, PRMS, CASiMiR) and input data to rapidly assess variation in outcomes under different climatic conditions. We present details on the architecture and functionality of the virtual watershed, results from three western U.S. watersheds, and discuss the realized benefits to watershed science of employing this integrated solution.

  8. Geospatial observations on biodiversity and biogeochemistry of a tropical forest rhizosphere

    NASA Astrophysics Data System (ADS)

    Wolf, Jeffrey Arien

    Understanding the links between biodiversity and biogeochemistry in a spatial context within tropical forest plant communities is an unresolved problem. High plant diversity -- phylogenetic, functional, and genetic -- often characteristic of tropical forests, is poorly understood in the context of soils. I collected and georeferenced a large sample of surface soil cores (n=625, 6.25 cm diameter x 10 cm depth) from the Barro Colorado Island (BCI) 50 ha (0.5 km2) Forest Dynamics Plot (FDP), Republic of Panama (9.15 N, 79.8 W) -- described in Chapter One. In Chapter Two, I tested a commonly made assumption in research on plot scales in tropical forests, that abiotic controls entirely explain plot scale soil heterogeneity. To do this, I analyzed a high spatial resolution and multiple spatial scale (multiscale) set of topography features from airborne light detection and ranging (LiDAR), a bedrock map, and the geospatial soil chemical observations to test if abiotic controls (erosion, hydrology, bedrock) were sufficient to explain soil heterogeneity in the BCI tree community. In Chapter Three, I evaluate whether spatial variation in soil organic matter (SOM) and patterns of correlation with rock-derived nutrients are consistent with plants changing soils through litterfall. In Chapter Four, I document the first use of high-throughput DNA sequencing data for observing plant species roots in a tropical forest rhizosphere. The main findings of my dissertation are that at the plot scale in a tropical forest soil chemical heterogeneity was weakly related to abiotic controls and rock-derived macronutrients vary in association strength with soil organic matter in a manner consistent with plants exerting strong biotic controls on the spatial heterogeneity of soil calcium. Furthermore, that research is needed to understand plant nutrient cycling within the context of tropical forest plant communities.

  9. Geospatially Analyzed Groundwater Residence Time as a Tool for Sustainable Groundwater Management

    NASA Astrophysics Data System (ADS)

    Moran, J. E.; Visser, A.; Singleton, M. J.; Hillegonds, D.; Esser, B. K.

    2015-12-01

    Managing groundwater during California's drought and satisfying the requirements of the 2014 Sustainable Groundwater Management Act will require multiple approaches to quantifying rates of change in groundwater storage in the heavily exploited basins around the state. Mean groundwater residence times are useful for developing sustainability goals in that the mean residence time is a measure of the aquifer turnover, or renewal time. The California Groundwater Ambient Monitoring and Assessment program is unique among groundwater monitoring programs in that multiple analyses allow estimation of groundwater residence time. For example, over 4,000 tritium and noble gas analyses have been carried out in wells across California, allowing calculation of tritium-helium groundwater age, spatial analysis of groundwater residence times, and identification of the depth of the transition from modern to pre-modern groundwater. Areas of rapid turnover identified by young ages can be compared with areas that have been identified as being hydrogeologically vulnerable based on physical measures such as mapped permeability, confining conditions, or recharge/discharge rates. Application of groundwater residence time as a tool for sustainable groundwater management has advantages and potential pitfalls. The uncertainty associated with calculated ages and the complexity of broad age distributions in long-screened wells are some of the associated challenges. However, geospatial analysis of isotopic age data prove useful for highlighting areas where isotopic ages are not in agreement with other measures of groundwater renewal time, and where ages may therefore be helpful in setting sustainability goals. Initial comparisons suggest that isotopic ages delineate the extent of influence of artificial recharge more precisely than numerical models and that some areas in the Sierra foothills and Coast Range, identified as active recharge areas, host pre-modern groundwater, suggesting the need for

  10. TopoCad - A unified system for geospatial data and services

    NASA Astrophysics Data System (ADS)

    Felus, Y. A.; Sagi, Y.; Regev, R.; Keinan, E.

    2013-10-01

    "E-government" is a leading trend in public sector activities in recent years. The Survey of Israel set as a vision to provide all of its services and datasets online. The TopoCad system is the latest software tool developed in order to unify a number of services and databases into one on-line and user friendly system. The TopoCad system is based on Web 1.0 technology; hence the customer is only a consumer of data. All data and services are accessible for the surveyors and geo-information professional in an easy and comfortable way. The future lies in Web 2.0 and Web 3.0 technologies through which professionals can upload their own data for quality control and future assimilation with the national database. A key issue in the development of this complex system was to implement a simple and easy (comfortable) user experience (UX). The user interface employs natural language dialog box in order to understand the user requirements. The system then links spatial data with alpha-numeric data in a flawless manner. The operation of the TopoCad requires no user guide or training. It is intuitive and self-taught. The system utilizes semantic engines and machine understanding technologies to link records from diverse databases in a meaningful way. Thus, the next generation of TopoCad will include five main modules: users and projects information, coordinates transformations and calculations services, geospatial data quality control, linking governmental systems and databases, smart forms and applications. The article describes the first stage of the TopoCad system and gives an overview of its future development.

  11. Geospatial modelling for groundwater quality mapping: a case study of Rupnagar district, Punjab, India

    NASA Astrophysics Data System (ADS)

    Sahoo, S.; Kaur, A.; Litoria, P.; Pateriya, B.

    2014-11-01

    Over period of time, the water usage and management is under stress for various reasons including pollution in both surface and subsurface. The groundwater quality decreases due to the solid waste from urban and industrial nodes, rapid use of insecticides and pesticides in agricultural practices. In this study, ground water quality maps for Rupnagar district of Punjab has been prepared using geospatial interpolation technique through Inverse Distance Weighted (IDW) approach. IDW technique has been used for major ground water quality parameters observed from the field samples like Arsenic, Hardness, pH, Iron, Fluoride, TDS, and Sulphate. To assess the ground water quality of the Rupnagar district, total 280 numbers of samples from various sources of tubewells for both pre and post monsoon have collected. Out of which, 80 to 113 samples found Iron with non potable limits ranging 0.3-1.1mg/l and 0.3-1.02mg/l according to BIS standard for both the seasons respectively. Chamkaur Sahib, Rupnagar, Morinda blocks have been found non potable limit of iron in both pre & post-monsoon. 11 to 52 samples in this region have sulphate with permissible limits in both the season ranging 200-400mg/l and 201-400mg/l. But arsenic had acceptable limit in both the season. Various parameters-wise ground water quality map is generated using the range values of drinking water quality to know the distribution of different parameters and diversification in the concentration of different elements. These maps are very much needful for human being to expand awareness among the people to maintain the Cleanness of water at their highest quality and purity levels to achieve a healthy life.

  12. A geospatial assessment of the relationship between reef flat community calcium carbonate production and wave energy

    NASA Astrophysics Data System (ADS)

    Hamylton, S. M.; Pescud, A.; Leon, J. X.; Callaghan, D. P.

    2013-12-01

    The ability of benthic communities inhabiting coral reefs to produce calcium carbonate underpins the development of reef platforms and associated sedimentary landforms, as well as the fixation of inorganic carbon and buffering of diurnal pH fluctuations in ocean surface waters. Quantification of the relationship between reef flat community calcium carbonate production and wave energy provides an empirical basis for understanding and managing this functionally important process. This study employs geospatial techniques across the reef platform at Lizard Island, Great Barrier Reef, to (1) map the distribution and estimate the total magnitude of reef community carbonate production and (2) empirically ascertain the influence of wave energy on community carbonate production. A World-View-2 satellite image and a field data set of 364 ground referencing points are employed, along with data on physical reef characteristics (e.g. bathymetry, rugosity) to map and validate the spatial distribution of the four major community carbonate producers (live coral, carbonate sand, green calcareous macroalgae and encrusting calcified algae) across the reef platform. Carbonate production is estimated for the complete reef platform from the composition of these community components. A synoptic model of wave energy is developed using the Simulating WAves Nearshore (SWAN) two-dimensional model for the entire reef platform. The relationship between locally derived measures of carbonate production and wave energy is evaluated at both the global scale and local scale along spatial gradients of wave energy traversing the reef platform. A wave energy threshold is identified, below which carbonate production levels appear to increase with wave energy and above which mechanical forcing reduces community production. This implies an optimal set of hydrodynamic conditions characterized by wave energy levels of approximately 300 J m-2, providing an empirical basis for management of potential changes

  13. Open Access to Multi-Domain Collaborative Analysis of Geospatial Data Through the Internet

    NASA Astrophysics Data System (ADS)

    Turner, A.

    2009-12-01

    The internet has provided us with a high bandwidth, low latency, globally connected network in which to rapidly share realtime data from sensors, reports, and imagery. In addition, the availability of this data is even easier to obtain, consume and analyze. Another aspect of the internet has been the increased approachability of complex systems through lightweight interfaces - with additional complex services able to provide more advanced connections into data services. These analyses and discussions have primarily been siloed within single domains, or kept out of the reach of amateur scientists and interested citizens. However, through more open access to analytical tools and data, experts can collaborate with citizens to gather information, provide interfaces for experimenting and querying results, and help make improved insights and feedback for further investigation. For example, farmers in Uganda are able to use their mobile phones to query, analyze, and be alerted to banana crop disease based on agriculture and climatological data. In the U.S., local groups use online social media sharing sites to gather data on storm-water runoff and stream siltation in order to alert wardens and environmental agencies. This talk will present various web-based geospatial visualization and analysis techniques and tools such as Google Earth and GeoCommons that have emerged that provide for a collaboration between experts of various domains as well as between experts, government, and citizen scientists. Through increased communication and the sharing of data and tools, it is possible to gain broad insight and development of joint, working solutions to a variety of difficult scientific and policy related questions.

  14. Bim-Gis Integrated Geospatial Information Model Using Semantic Web and Rdf Graphs

    NASA Astrophysics Data System (ADS)

    Hor, A.-H.; Jadidi, A.; Sohn, G.

    2016-06-01

    In recent years, 3D virtual indoor/outdoor urban modelling becomes a key spatial information framework for many civil and engineering applications such as evacuation planning, emergency and facility management. For accomplishing such sophisticate decision tasks, there is a large demands for building multi-scale and multi-sourced 3D urban models. Currently, Building Information Model (BIM) and Geographical Information Systems (GIS) are broadly used as the modelling sources. However, data sharing and exchanging information between two modelling domains is still a huge challenge; while the syntactic or semantic approaches do not fully provide exchanging of rich semantic and geometric information of BIM into GIS or vice-versa. This paper proposes a novel approach for integrating BIM and GIS using semantic web technologies and Resources Description Framework (RDF) graphs. The novelty of the proposed solution comes from the benefits of integrating BIM and GIS technologies into one unified model, so-called Integrated Geospatial Information Model (IGIM). The proposed approach consists of three main modules: BIM-RDF and GIS-RDF graphs construction, integrating of two RDF graphs, and query of information through IGIM-RDF graph using SPARQL. The IGIM generates queries from both the BIM and GIS RDF graphs resulting a semantically integrated model with entities representing both BIM classes and GIS feature objects with respect to the target-client application. The linkage between BIM-RDF and GIS-RDF is achieved through SPARQL endpoints and defined by a query using set of datasets and entity classes with complementary properties, relationships and geometries. To validate the proposed approach and its performance, a case study was also tested using IGIM system design.

  15. Geospatial Education and Research Development: A Laboratory for Remote Sensing and Environmental Analysis (LaRSEA)

    NASA Technical Reports Server (NTRS)

    Allen, Thomas R., Jr.

    1999-01-01

    Old Dominion University has claimed the title "University of the 21st Century," with a bold emphasis on technology innovation and application. In keeping with this claim, the proposed work has implemented a new laboratory equipped for remote sensing as well as curriculum and research innovations afforded for present and future faculty and students. The developments summarized within this report would not have been possible without the support of the NASA grant and significant cost-sharing of several units within the University. The grant effectively spring-boarded the university into major improvements in its approach to remote sensing and geospatial information technologies. The university has now committed to licensing Erdas Imagine software for the laboratory, a campus-wide ESRI geographic information system (GIS) products license, and several smaller software and hardware utilities available to faculty and students through the laboratory. Campus beneficiaries of this grant have included faculty from departments including Ocean, Earth. and Atmospheric Sciences, Political Science and Geography, Ecological Sciences, Environmental Health, and Civil and Environmental Engineering. High student interest is evidenced in students in geology, geography, ecology, urban studies, and planning. Three new courses have been added to the catalog and offered this year. Cross-cutting curriculum changes are in place with growing enrollments in remote sensing, GIS, and a new co-taught seminar in applied coastal remote sensing. The enabling grant has also allowed project participant