The SISMA Project: A pre-operative seismic hazard monitoring system.

NASA Astrophysics Data System (ADS)

Massimiliano Chersich, M. C.; Amodio, A. A. Angelo; Francia, A. F. Andrea; Sparpaglione, C. S. Claudio

2009-04-01

Galileian Plus is currently leading the development, in collaboration with several Italian Universities, of the SISMA (Seismic Information System for Monitoring and Alert) Pilot Project financed by the Italian Space Agency. The system is devoted to the continuous monitoring of the seismic risk and is addressed to support the Italian Civil Protection decisional process. Completion of the Pilot Project is planned at the beginning of 2010. Main scientific paradigm of SISMA is an innovative deterministic approach integrating geophysical models, geodesy and active tectonics. This paper will give a general overview of project along with its progress status and a particular focus will be put on the architectural design details and to the software implementation choices. SISMA is built on top of a software infrastructure developed by Galileian Plus to integrate the scientific programs devoted to the update of seismic risk maps. The main characteristics of the system may be resumed as follow: automatic download of input data; integration of scientific programs; definition and scheduling of chains of processes; monitoring and control of the system through a graphical user interface (GUI); compatibility of the products with ESRI ArcGIS, by mean of post-processing conversion. a) automatic download of input data SISMA needs input data such as GNSS observations, updated seismic catalogue, SAR satellites orbits, etc. that are periodically updated and made available from remote servers through FTP and HTTP. This task is accomplished by a dedicated user configurable component. b) integration of scientific programs SISMA integrates many scientific programs written in different languages (Fortran, C, C++, Perl and Bash) and running into different operating systems. This design requirements lead to the development of a distributed system which is platform independent and is able to run any terminal-based program following few simple predefined rules. c) definition and scheduling of chains of processes Processes are bound each other, in the sense that the output of process "A" should be passed as input to process "B". In this case the process "B" must run automatically as soon as the required input is ready. In SISMA this issue is handled with the "data-driven" activation concept allowing specifying that a process should be started as soon as the needed input datum has been made available in the archive. Moreover SISMA may run processes on a "time-driven" base. The infrastructure of SISMA provides a configurable scheduler allowing the user to define the start time and the periodicity of such processes. d) monitoring and control The operator of the system needs to monitor and control every process running in the system. The SISMA infrastructure allows, through its GUI, the user to: view log messages of running and old processes; stop running processes; monitor processes executions; monitor resource status (available ram, network reachability, and available disk space) for every machine in the system. e) compatibility with ESRI Shapefiles Nearly all the SISMA data has some geographic information, and it is useful to integrate it in a Geographic Information System (GIS). Processors output are georeferred, but they are generated as ASCII files in a proprietary format, and thus cannot directly loaded in a GIS. The infrastructures provides a simple framework for adding filters that reads the data in the proprietary format and converts it to ESRI Shapefile format.

Archive of boomer seismic reflection data collected during USGS field activities 01ASR01, 01ASR02, 02ASR01, 02ASR02, Miami, Florida, November 2001-January 2002

USGS Publications Warehouse

Calderon, Karynna; Dadisman, Shawn V.; Kindinger, Jack G.; Wiese, Dana S.; Flocks, James G.

2002-01-01

This appendix consists of two-dimensional marine seismic reflection profile data collected in canals in the Lake Belt Area of Miami, Florida. These data were acquired in November and December of 2001 and January and February of 2002 using a 4.9-m (16-ft) jonboat. The data are available in a variety of formats, including binary, ASCII, HTML, shapefiles, and GIF images. Binary data are in Society of Exploration Geophysicists (SEG) SEG-Y format and may be downloaded for further processing or display. The SEG-Y data files are too large to fit on one CD-ROM, so they have been distributed onto two CD-ROMs as explained below. Reference maps and GIF images of the profiles may be viewed with your web browser. The GIS information provided is compatible with ESRI's GIS software. A reconnaissance test line (02ASR02-02b02) was collected northwest of the survey area during Field Activity 02ASR02 for possible use in a future project. It is archived here for organizational purposes only.

Penrose Well Temperatures

DOE Data Explorer

Christopherson, Karen

2013-03-15

Penrose Well Temperatures Geothermal waters have been encountered in several wells near Penrose in Fremont County, Colorado. Most of the wells were drilled for oil and gas exploration and, in a few cases, production. This ESRI point shapefile utilizes data from 95 wells in and around the Penrose area provided by the Colorado Oil and Gas Conservation Commission (COGCC) database at http://cogcc.state.co.us/ . Temperature data from the database were used to calculate a temperature gradient for each well. This information was then used to estimate temperatures at various depths. Projection: UTM Zone 13 NAD27 Extent: West -105.224871 East -105.027633 North 38.486269 South 38.259507 Originators: Colorado Oil and Gas Conservation Commission (COGCC) Karen Christopherson

Topographic and Air-Photo Lineaments in Various Locations Related to Geothermal Exploration in Colorado

DOE Data Explorer

Richard Zehner

2012-02-01

These line shapefiles trace apparent topographic and air-photo lineaments in various counties in Colorado. It was made in order to identify possible fault and fracture systems that might be conduits for geothermal fluids, as part of a DOE reconnaissance geothermal exploration program. Geothermal fluids commonly utilize fault and fractures in competent rocks as conduits for fluid flow. Geothermal exploration involves finding areas of high near-surface temperature gradients, along with a suitable "plumbing system" that can provide the necessary permeability. Geothermal power plants can sometimes be built where temperature and flow rates are high. This line shapefile is an attempt to use desktop GIS to delineate possible faults and fracture orientations and locations in highly prospective areas prior to an initial site visit. Geochemical sampling and geologic mapping could then be centered around these possible faults and fractures. To do this, georeferenced topographic maps and aerial photographs were utilized in an existing GIS, using ESRI ArcMap 10.0 software. The USA_Topo_Maps and World_Imagery map layers were chosen from the GIS Server at server.arcgisonline.com, using a UTM Zone 13 NAD27 projection. This line shapefile was then constructed over that which appeared to be through-going structural lineaments in both the aerial photographs and topographic layers, taking care to avoid manmade features such as roads, fence lines, and utility right-of-ways. Still, it is unknown what actual features these lineaments, if they exist, represent. Although the shapefiles are arranged by county, not all areas within any county have been examined for lineaments. Work was focused on either satellite thermal infrared anomalies, known hot springs or wells, or other evidence of geothermal systems. Finally, lineaments may be displaced somewhat from their actual location, due to such factors as shadow effects with low sun angles in the aerial photographs. Credits: These lineament shapefile was created by Geothermal Development Associates, as part of a geothermal geologic reconnaissance performed by Flint Geothermal, LLC, of Denver Colorado. Use Limitation: These shapefiles were constructed as an aid to geothermal exploration in preparation for a site visit for field checking. We make no claims as to the existence of the lineaments, their location, orientation, and/or nature.

Calculation of streamflow statistics for Ontario and the Great Lakes states

USGS Publications Warehouse

Piggott, Andrew R.; Neff, Brian P.

2005-01-01

Basic, flow-duration, and n-day frequency statistics were calculated for 779 current and historical streamflow gages in Ontario and 3,157 streamflow gages in the Great Lakes states with length-of-record daily mean streamflow data ending on December 31, 2000 and September 30, 2001, respectively. The statistics were determined using the U.S. Geological Survey’s SWSTAT and IOWDM, ANNIE, and LIBANNE software and Linux shell and PERL programming that enabled the mass processing of the data and calculation of the statistics. Verification exercises were performed to assess the accuracy of the processing and calculations. The statistics and descriptions, longitudes and latitudes, and drainage areas for each of the streamflow gages are summarized in ASCII text files and ESRI shapefiles.

Mars Global Digital Dune Database: MC2-MC29

USGS Publications Warehouse

Hayward, Rosalyn K.; Mullins, Kevin F.; Fenton, L.K.; Hare, T.M.; Titus, T.N.; Bourke, M.C.; Colaprete, Anthony; Christensen, P.R.

2007-01-01

Introduction The Mars Global Digital Dune Database presents data and describes the methodology used in creating the database. The database provides a comprehensive and quantitative view of the geographic distribution of moderate- to large-size dune fields from 65? N to 65? S latitude and encompasses ~ 550 dune fields. The database will be expanded to cover the entire planet in later versions. Although we have attempted to include all dune fields between 65? N and 65? S, some have likely been excluded for two reasons: 1) incomplete THEMIS IR (daytime) coverage may have caused us to exclude some moderate- to large-size dune fields or 2) resolution of THEMIS IR coverage (100m/pixel) certainly caused us to exclude smaller dune fields. The smallest dune fields in the database are ~ 1 km2 in area. While the moderate to large dune fields are likely to constitute the largest compilation of sediment on the planet, smaller stores of sediment of dunes are likely to be found elsewhere via higher resolution data. Thus, it should be noted that our database excludes all small dune fields and some moderate to large dune fields as well. Therefore the absence of mapped dune fields does not mean that such dune fields do not exist and is not intended to imply a lack of saltating sand in other areas. Where availability and quality of THEMIS visible (VIS) or Mars Orbiter Camera narrow angle (MOC NA) images allowed, we classifed dunes and included dune slipface measurements, which were derived from gross dune morphology and represent the prevailing wind direction at the last time of significant dune modification. For dunes located within craters, the azimuth from crater centroid to dune field centroid was calculated. Output from a general circulation model (GCM) is also included. In addition to polygons locating dune fields, the database includes over 1800 selected Thermal Emission Imaging System (THEMIS) infrared (IR), THEMIS visible (VIS) and Mars Orbiter Camera Narrow Angle (MOC NA) images that were used to build the database. The database is presented in a variety of formats. It is presented as a series of ArcReader projects which can be opened using the free ArcReader software. The latest version of ArcReader can be downloaded at http://www.esri.com/software/arcgis/arcreader/download.html. The database is also presented in ArcMap projects. The ArcMap projects allow fuller use of the data, but require ESRI ArcMap? software. Multiple projects were required to accommodate the large number of images needed. A fuller description of the projects can be found in the Dunes_ReadMe file and the ReadMe_GIS file in the Documentation folder. For users who prefer to create their own projects, the data is available in ESRI shapefile and geodatabase formats, as well as the open Geographic Markup Language (GML) format. A printable map of the dunes and craters in the database is available as a Portable Document Format (PDF) document. The map is also included as a JPEG file. ReadMe files are available in PDF and ASCII (.txt) files. Tables are available in both Excel (.xls) and ASCII formats.

An Interactive Map Viewer for the Urban Geology of Ottawa (Canada): an Example of Web Publishing

NASA Astrophysics Data System (ADS)

Giroux, D.; Bélanger, R.

2003-04-01

Developed by the Terrain Sciences Division (TSD) of the Geological Survey of Canada (GSC), an interactive map viewer, called GEOSERV (www.geoserv.org), is now available on the Internet. The purpose of this viewer is to provide engineers, planners, decision makers, and the general public with the geoscience information required for sound regional planning in densely populated areas, such as Canada's national capital, Ottawa (Ontario). Urban geology studies rely on diverse branches of earth sciences such as hydrology, engineering geology, geochemistry, stratigraphy, and geomorphology in order to build a three-dimensional model of the character of the land and to explain the geological processes involved in the dynamic equilibrium of the local environment. Over the past few years, TSD has compiled geoscientific information derived from various sources such as borehole logs, geological maps, hydrological reports and digital elevation models, compiled it in digital format and stored it in georeferenced databases in the form of point, linear, and polygonal data. This information constitutes the geoscience knowledge base which is then processed by Geographic Information Systems (GIS) to integrate the various sources of information and produce derived graphics, maps and models describing the geological infrastructure and response of the geological environment to human activities. Urban Geology of Canada's National Capital Area is a pilot project aiming at developing approaches, methodologies and standards that can be applied to other major urban centres of the country, while providing the geoscience knowledge required for sound regional planning and environmental protection of the National Capital Area. Based on an application developed by ESRI (Environmental System Research Institute), namely ArcIMS, the TSD has customized this web application to give free access to geoscience information of the Ottawa/Outaouais (Ontario/Québec) area including geological history, subsurface database, stratigraphy, bedrock, surficial and hydrogeology maps, and a few others. At present, each layer of geospatial information in TSD's interactive map viewer is connected to simple independent flat files (i.e. shapefiles), but it is also possible to connect GEOSERV to other types of (relational) databases (e.g. Microsoft SQL Server, Oracle). Frequent updating of shapefiles could be a cumbersome task, when new records are added, since we have to completely rebuild the updated shapefiles. However, new attributes can be added to existing shapefiles easily. At present, the updating process can not be done on-the-fly; we must stop and restart the updated MapService if one of its shapefiles is changed. The public can access seventeen MapServices that provide interactive tools that users can use to query, zoom, pan, select, and so on, or print the map displayed on their monitor. The map viewer is light-weight as it uses HTML and Javascript, so end users do not have to download and install any plug-ins. A free CD and a companion web site were also developed to give access to complementary information, like high resolution raster maps and reports. Some of the datasets are available free of charge, on-line.

An Open Software Platform for Sharing Water Resource Models, Code and Data

NASA Astrophysics Data System (ADS)

Knox, Stephen; Meier, Philipp; Mohamed, Khaled; Korteling, Brett; Matrosov, Evgenii; Huskova, Ivana; Harou, Julien; Rosenberg, David; Tilmant, Amaury; Medellin-Azuara, Josue; Wicks, Jon

2016-04-01

The modelling of managed water resource systems requires new approaches in the face of increasing future uncertainty. Water resources management models, even if applied to diverse problem areas, use common approaches such as representing the problem as a network of nodes and links. We propose a data management software platform, called Hydra, that uses this commonality to allow multiple models using a node-link structure to be managed and run using a single software system. Hydra's user interface allows users to manage network topology and associated data. Hydra feeds this data directly into a model, importing from and exporting to different file formats using Apps. An App connects Hydra to a custom model, a modelling system such as GAMS or MATLAB or to different file formats such as MS Excel, CSV and ESRI Shapefiles. Hydra allows users to manage their data in a single, consistent place. Apps can be used to run domain-specific models and allow users to work with their own required file formats. The Hydra App Store offers a collaborative space where model developers can publish, review and comment on Apps, models and data. Example Apps and open-source libraries are available in a variety of languages (Python, Java and .NET). The App Store can act as a hub for water resource modellers to view and share Apps, models and data easily. This encourages an ecosystem of development using a shared platform, resulting in more model integration and potentially greater unity within resource modelling communities. www.hydraplatform.org www.hydraappstore.com

Geologic Map and Cross Sections of the McGinness Hills Geothermal Area - GIS Data

DOE Data Explorer

Faulds, James E.

2013-12-31

Geologic map data in shapefile format that includes faults, unit contacts, unit polygons, attitudes of strata and faults, and surficial geothermal features. 5 cross‐sections in Adobe Illustrator format. Comprehensive catalogue of drill‐hole data in spreadsheet, shapefile, and Geosoft database formats. Includes XYZ locations of well heads, year drilled, type of well, operator, total depths, well path data (deviations), lithology logs, and temperature data. 3D model constructed with EarthVision using geologic map data, cross‐sections, drill‐hole data, and geophysics.

U.S. Level III and IV Ecoregions (U.S. EPA)

EPA Pesticide Factsheets

This map service displays Level III and Level IV Ecoregions of the United States and was created from ecoregion data obtained from the U.S. Environmental Protection Agency Office of Research and Development's Western Ecology Division. The original ecoregion data was projected from Albers to Web Mercator for this map service. To download shapefiles of ecoregion data (in Albers), please go to: ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/. IMPORTANT NOTE ABOUT LEVEL IV POLYGON LEGEND DISPLAY IN ARCMAP: Due to the limitations of Graphical Device Interface (GDI) resources per application on Windows, ArcMap does not display the legend in the Table of Contents for the ArcGIS Server service layer if the legend has more than 100 items. As of December 2011, there are 968 unique legend items in the Level IV Ecoregion Polygon legend. Follow this link (http://support.esri.com/en/knowledgebase/techarticles/detail/33741) for instructions about how to increase the maximum number of ArcGIS Server service layer legend items allowed for display in ArcMap. Note the instructions at this link provide a slightly incorrect path to Maximum Legend Count. The correct path is HKEY_CURRENT_USER > Software > ESRI > ArcMap > Server > MapServerLayer > Maximum Legend Count. When editing the Maximum Legend Count, update the field, Value data to 1000. To download a PDF version of the Level IV ecoregion map and legend, go to ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_IV

Provisional maps of thermal areas in Yellowstone National Park, based on satellite thermal infrared imaging and field observations

USGS Publications Warehouse

Vaughan, R. Greg; Heasler, Henry; Jaworowski, Cheryl; Lowenstern, Jacob B.; Keszthelyi, Laszlo P.

2014-01-01

Maps that define the current distribution of geothermally heated ground are useful toward setting a baseline for thermal activity to better detect and understand future anomalous hydrothermal and (or) volcanic activity. Monitoring changes in the dynamic thermal areas also supports decisions regarding the development of Yellowstone National Park infrastructure, preservation and protection of park resources, and ensuring visitor safety. Because of the challenges associated with field-based monitoring of a large, complex geothermal system that is spread out over a large and remote area, satellite-based thermal infrared images from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) were used to map the location and spatial extent of active thermal areas, to generate thermal anomaly maps, and to quantify the radiative component of the total geothermal heat flux. ASTER thermal infrared data acquired during winter nights were used to minimize the contribution of solar heating of the surface. The ASTER thermal infrared mapping results were compared to maps of thermal areas based on field investigations and high-resolution aerial photos. Field validation of the ASTER thermal mapping is an ongoing task. The purpose of this report is to make available ASTER-based maps of Yellowstone’s thermal areas. We include an appendix containing the names and characteristics of Yellowstone’s thermal areas, georeferenced TIFF files containing ASTER thermal imagery, and several spatial data sets in Esri shapefile format.

Using Google Earth to Explore Strain Rate Models of Southern California

NASA Astrophysics Data System (ADS)

Richard, G. A.; Bell, E. A.; Holt, W. E.

2007-12-01

A series of strain rate models for the Transverse Ranges of southern California were developed based on Quaternary fault slip data and geodetic data from high precision GPS stations in southern California. Pacific-North America velocity boundary conditions are applied for all models. Topography changes are calculated using the model dilatation rates, which predict crustal thickness changes under the assumption of Airy isostasy and a specified rate of crustal volume loss through erosion. The models were designed to produce graphical and numerical output representing the configuration of the region from 3 million years ago to 3 million years into the future at intervals of 50 thousand years. Using a North American reference frame, graphical output for the topography and faults and numerical output for locations of faults and points on the crust marked by the locations on cities were used to create data in KML format that can be used in Google Earth to represent time intervals of 50 thousand years. As markers familiar to students, the cities provide a geographic context that can be used to quantify crustal movement, using the Google Earth ruler tool. By comparing distances that markers for selected cities have moved in various parts of the region, students discover that the greatest amount of crustal deformation has occurred in the vicinity of the boundary between the North American and Pacific plates. Students can also identify areas of compression or extension by finding pairs of city markers that have converged or diverged, respectively, over time. The Google Earth layers also reveal that faults that are not parallel to the plate boundary have tended to rotate clockwise due to the right lateral motion along the plate boundary zone. KML TimeSpan markup was added to two versions of the model, enabling the layers to be displayed in an automatic sequenced loop for a movie effect. The data is also available as QuickTime (.mov) and Graphics Interchange Format (.gif) animations and in ESRI Shapefile format.

Arc_Mat: a Matlab-based spatial data analysis toolbox

NASA Astrophysics Data System (ADS)

Liu, Xingjian; Lesage, James

2010-03-01

This article presents an overview of Arc_Mat, a Matlab-based spatial data analysis software package whose source code has been placed in the public domain. An earlier version of the Arc_Mat toolbox was developed to extract map polygon and database information from ESRI shapefiles and provide high quality mapping in the Matlab software environment. We discuss revisions to the toolbox that: utilize enhanced computing and graphing capabilities of more recent versions of Matlab, restructure the toolbox with object-oriented programming features, and provide more comprehensive functions for spatial data analysis. The Arc_Mat toolbox functionality includes basic choropleth mapping; exploratory spatial data analysis that provides exploratory views of spatial data through various graphs, for example, histogram, Moran scatterplot, three-dimensional scatterplot, density distribution plot, and parallel coordinate plots; and more formal spatial data modeling that draws on the extensive Spatial Econometrics Toolbox functions. A brief review of the design aspects of the revised Arc_Mat is described, and we provide some illustrative examples that highlight representative uses of the toolbox. Finally, we discuss programming with and customizing the Arc_Mat toolbox functionalities.

Procedural Modeling for Rapid-Prototyping of Multiple Building Phases

NASA Astrophysics Data System (ADS)

Saldana, M.; Johanson, C.

2013-02-01

RomeLab is a multidisciplinary working group at UCLA that uses the city of Rome as a laboratory for the exploration of research approaches and dissemination practices centered on the intersection of space and time in antiquity. In this paper we present a multiplatform workflow for the rapid-prototyping of historical cityscapes through the use of geographic information systems, procedural modeling, and interactive game development. Our workflow begins by aggregating archaeological data in a GIS database. Next, 3D building models are generated from the ArcMap shapefiles in Esri CityEngine using procedural modeling techniques. A GIS-based terrain model is also adjusted in CityEngine to fit the building elevations. Finally, the terrain and city models are combined in Unity, a game engine which we used to produce web-based interactive environments which are linked to the GIS data using keyhole markup language (KML). The goal of our workflow is to demonstrate that knowledge generated within a first-person virtual world experience can inform the evaluation of data derived from textual and archaeological sources, and vice versa.

The Confluence of GIS, Cloud and Open Source, Enabling Big Raster Data Applications

NASA Astrophysics Data System (ADS)

Plesea, L.; Emmart, C. B.; Boller, R. A.; Becker, P.; Baynes, K.

2016-12-01

The rapid evolution of available cloud services is profoundly changing the way applications are being developed and used. Massive object stores, service scalability, continuous integration are some of the most important cloud technology advances that directly influence science applications and GIS. At the same time, more and more scientists are using GIS platforms in their day to day research. Yet with new opportunities there are always some challenges. Given the large amount of data commonly required in science applications, usually large raster datasets, connectivity is one of the biggest problems. Connectivity has two aspects, one being the limited bandwidth and latency of the communication link due to the geographical location of the resources, the other one being the interoperability and intrinsic efficiency of the interface protocol used to connect. NASA and Esri are actively helping each other and collaborating on a few open source projects, aiming to provide some of the core technology components to directly address the GIS enabled data connectivity problems. Last year Esri contributed LERC, a very fast and efficient compression algorithm to the GDAL/MRF format, which itself is a NASA/Esri collaboration project. The MRF raster format has some cloud aware features that make it possible to build high performance web services on cloud platforms, as some of the Esri projects demonstrate. Currently, another NASA open source project, the high performance OnEarth WMTS server is being refactored and enhanced to better integrate with MRF, GDAL and Esri software. Taken together, the GDAL, MRF and OnEarth form the core of an open source CloudGIS toolkit that is already showing results. Since it is well integrated with GDAL, which is the most common interoperability component of GIS applications, this approach should improve the connectivity and performance of many science and GIS applications in the cloud.

Digital topographic map showing the extents of glacial ice and perennial snowfields at Mount Rainier, Washington, based on the LiDAR survey of September 2007 to October 2008

USGS Publications Warehouse

Robinson, Joel E.; Sisson, Thomas W.; Swinney, Darin D.

2010-01-01

In response to severe flooding in November 2006, the National Park Service contracted for a high-resolution aerial Light Detection and Ranging (LiDAR) topographic survey of Mount Rainier National Park, Washington. Due to inclement weather, this survey was performed in two stages: early September 2007 and September-October 2008. The total surveyed area of 241,585 acres includes an approximately 100-m-wide buffer zone around the Park to ensure complete coverage and adequate point densities at survey edges. Final results averaged 5.73 laser first return points/m2 over forested and high-elevation terrain, with a vertical accuracy of 3.7 cm on bare road surfaces and mean relative accuracy of 11 cm, based on comparisons between flightlines. Bare-earth topography, as developed by the contractor, is included in this release. A map of the 2007-2008 limits of glaciers and perennial snowfields was developed by digitizing 1:2,000 to 1:5,000 slope and shaded-relief images derived from the LiDAR topography. Edges of snow and exposed ice are readily seen in such images as sharp changes in surface roughness and slope. Ice mantled by moraine can be distinguished by the moraine's distinctly high roughness due to ice motion and melting, local exposures of smooth ice, and commonly by the presence of crevasses and shear boundaries. A map of the 1970 limits of ice and perennial snow was also developed by digitizing the snow and ice perimeters as depicted on the hydrologic separates used to produce the 1:24,000 topographic maps of the Mount Rainier region. These maps, produced in 1971, were derived from September 1970 aerial photographs. Boundaries between adjacent glacier systems were estimated and mapped from drainage divides, including partly emergent rock ridges, lines of diverging slope, and medial moraines. This data release contains the bare-earth LiDAR data as an ESRI grid file (DS549-Rainier_LiDAR.zip), the glacial limits derived from the USGS 1970 aerial photographs of the Mount Rainier vicinity as a shapefile, and the glacial limits derived from the 2007 to 2008 LiDAR survey as a shapefile (both shapefiles contained in DS549-Glacial_Limits.zip). These geospatial data files require GIS software for viewing.

TEM and Gravity Data for Roosevelt Hot Springs, Utah FORGE Site

DOE Data Explorer

Hardwick, Christian; Nash, Greg

2018-02-05

This submission includes a gravity data in text format and as a GIS point shapefile and transient electromagnetic (TEM) raw data. Each text file additionally contains location data (UTM Zone 12, NAD83) and elevation (meters) data for that station. The gravity data shapefile was in part downloaded from PACES, University of Texas at El Paso, http://gis.utep.edu/subpages/GMData.html, and in part collected by the Utah Geological Survey (UGS) as part of the DOE GTO supported Utah FORGE geothermal energy project near Milford, Utah. The PACES data were examined and scrubbed to eliminate any questionable data. A 2.67 g/cm^3 reduction density was used for the Bouguer correction. The attribute table column headers for the gravity data shapefile are explained below. There is also metadata attached to the GIS shapefile. name: the individual gravity station name. HAE: height above ellipsoid [meter] NGVD29: vertical datum for geoid [meter] obs: observed gravity ERRG: gravity measurement error [mGal] IZTC: inner zone terrain correction [mGal] OZTC: outer zone terrain correction [mGal] Gfa: free air gravity gSBGA: Bouguer horizontal slab sCBGA: Complete Bouguer anomaly

Soda Lake Well Lithology Data and Geologic Cross-Sections

DOE Data Explorer

Faulds, James E.

2013-12-31

Comprehensive catalogue of drill‐hole data in spreadsheet, shapefile, and Geosoft database formats. Includes XYZ locations of well heads, year drilled, type of well, operator, total depths, well path data (deviations), lithology logs, and temperature data. Plus, 13 cross‐sections in Adobe Illustrator format.

Metadata Wizard: an easy-to-use tool for creating FGDC-CSDGM metadata for geospatial datasets in ESRI ArcGIS Desktop

USGS Publications Warehouse

Ignizio, Drew A.; O'Donnell, Michael S.; Talbert, Colin B.

2014-01-01

Creating compliant metadata for scientific data products is mandated for all federal Geographic Information Systems professionals and is a best practice for members of the geospatial data community. However, the complexity of the The Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata, the limited availability of easy-to-use tools, and recent changes in the ESRI software environment continue to make metadata creation a challenge. Staff at the U.S. Geological Survey Fort Collins Science Center have developed a Python toolbox for ESRI ArcDesktop to facilitate a semi-automated workflow to create and update metadata records in ESRI’s 10.x software. The U.S. Geological Survey Metadata Wizard tool automatically populates several metadata elements: the spatial reference, spatial extent, geospatial presentation format, vector feature count or raster column/row count, native system/processing environment, and the metadata creation date. Once the software auto-populates these elements, users can easily add attribute definitions and other relevant information in a simple Graphical User Interface. The tool, which offers a simple design free of esoteric metadata language, has the potential to save many government and non-government organizations a significant amount of time and costs by facilitating the development of The Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata compliant metadata for ESRI software users. A working version of the tool is now available for ESRI ArcDesktop, version 10.0, 10.1, and 10.2 (downloadable at http:/www.sciencebase.gov/metadatawizard).

A linked GeoData map for enabling information access

USGS Publications Warehouse

Powell, Logan J.; Varanka, Dalia E.

2018-01-10

OverviewThe Geospatial Semantic Web (GSW) is an emerging technology that uses the Internet for more effective knowledge engineering and information extraction. Among the aims of the GSW are to structure the semantic specifications of data to reduce ambiguity and to link those data more efficiently. The data are stored as triples, the basic data unit in graph databases, which are similar to the vector data model of geographic information systems (GIS); that is, a node-edge-node model that forms a graph of semantically related information. The GSW is supported by emerging technologies such as linked geospatial data, described below, that enable it to store and manage geographical data that require new cartographic methods for visualization. This report describes a map that can interact with linked geospatial data using a simulation of a data query approach called the browsable graph to find information that is semantically related to a subject of interest, visualized using the Data Driven Documents (D3) library. Such a semantically enabled map functions as a map knowledge base (MKB) (Varanka and Usery, 2017).A MKB differs from a database in an important way. The central element of a triple, alternatively called the edge or property, is composed of a logic formalization that structures the relation between the first and third parts, the nodes or objects. Node-edge-node represents the graphic form of the triple, and the subject-property-object terms represent the data structure. Object classes connect to build a federated graph, similar to a network in visual form. Because the triple property is a logical statement (a predicate), the data graph represents logical propositions or assertions accepted to be true about the subject matter. These logical formalizations can be manipulated to calculate new triples, representing inferred logical assertions, from the existing data.To demonstrate a MKB system, a technical proof-of-concept is developed that uses geographically attributed Resource Description Framework (RDF) serializations of linked data for mapping. The proof-of-concept focuses on accessing triple data from visual elements of a geographic map as the interface to the MKB. The map interface is embedded with other essential functions such as SPARQL Protocol and RDF Query Language (SPARQL) data query endpoint services and reasoning capabilities of Apache Marmotta (Apache Software Foundation, 2017). An RDF database of the Geographic Names Information System (GNIS), which contains official names of domestic feature in the United States, was linked to a county data layer from The National Map of the U.S. Geological Survey. The county data are part of a broader Government Units theme offered to the public as Esri shapefiles. The shapefile used to draw the map itself was converted to a geographic-oriented JavaScript Object Notation (JSON) (GeoJSON) format and linked through various properties with a linked geodata version of the GNIS database called “GNIS–LD” (Butler and others, 2016; B. Regalia and others, University of California-Santa Barbara, written commun., 2017). The GNIS–LD files originated in Terse RDF Triple Language (Turtle) format but were converted to a JSON format specialized in linked data, “JSON–LD” (Beckett and Berners-Lee, 2011; Sorny and others, 2014). The GNIS–LD database is composed of roughly three predominant triple data graphs: Features, Names, and History. The graphs include a set of namespace prefixes used by each of the attributes. Predefining the prefixes made the conversion to the JSON–LD format simple to complete because Turtle and JSON–LD are variant specifications of the basic RDF concept.To convert a shapefile into GeoJSON format to capture the geospatial coordinate geometry objects, an online converter, Mapshaper, was used (Bloch, 2013). To convert the Turtle files, a custom converter written in Java reconstructs the files by parsing each grouping of attributes belonging to one subject and pasting the data into a new file that follows the syntax of JSON–LD. Additionally, the Features file contained its own set of geometries, which was exported into a separate JSON–LD file along with its elevation value to form a fourth file, named “features-geo.json.” Extracted data from external files can be represented in HyperText Markup Language (HTML) path objects. The goal was to import multiple JSON–LD files using this approach.

Seafloor video footage and still-frame grabs from U.S. Geological Survey cruises in Hawaiian nearshore waters

USGS Publications Warehouse

Gibbs, Ann E.; Cochran, Susan A.; Tierney, Peter W.

2013-01-01

Underwater video footage was collected in nearshore waters (<60-meter depth) off the Hawaiian Islands from 2002 to 2011 as part of the U.S. Geological Survey (USGS) Coastal and Marine Geology Program's Pacific Coral Reef Project, to improve seafloor characterization and for the development and ground-truthing of benthic-habitat maps. This report includes nearly 53 hours of digital underwater video footage collected during four USGS cruises and more than 10,200 still images extracted from the videos, including still frames from every 10 seconds along transect lines, and still frames showing both an overview and a near-bottom view from fixed stations. Environmental Systems Research Institute (ESRI) shapefiles of individual video and still-image locations, and Google Earth kml files with explanatory text and links to the video and still images, are included. This report documents the various camera systems and methods used to collect the videos, and the techniques and software used to convert the analog video tapes into digital data in order to process the images for optimum viewing and to extract the still images, along with a brief summary of each survey cruise.

Hawaii Rifts

DOE Data Explorer

Nicole Lautze

2015-01-01

Rifts mapped through reviewing the location of dikes and vents on the USGS 2007 Geologic Map of the State of Hawaii, as well as our assessment of topography, and, to a small extent, gravity data. Data is in shapefile format.

Mars Global Digital Dune Database; MC-1

USGS Publications Warehouse

Hayward, R.K.; Fenton, L.K.; Tanaka, K.L.; Titus, T.N.; Colaprete, A.; Christensen, P.R.

2010-01-01

The Mars Global Digital Dune Database presents data and describes the methodology used in creating the global database of moderate- to large-size dune fields on Mars. The database is being released in a series of U.S. Geological Survey (USGS) Open-File Reports. The first release (Hayward and others, 2007) included dune fields from 65 degrees N to 65 degrees S (http://pubs.usgs.gov/of/2007/1158/). The current release encompasses ~ 845,000 km2 of mapped dune fields from 65 degrees N to 90 degrees N latitude. Dune fields between 65 degrees S and 90 degrees S will be released in a future USGS Open-File Report. Although we have attempted to include all dune fields, some have likely been excluded for two reasons: (1) incomplete THEMIS IR (daytime) coverage may have caused us to exclude some moderate- to large-size dune fields or (2) resolution of THEMIS IR coverage (100m/pixel) certainly caused us to exclude smaller dune fields. The smallest dune fields in the database are ~ 1 km2 in area. While the moderate to large dune fields are likely to constitute the largest compilation of sediment on the planet, smaller stores of sediment of dunes are likely to be found elsewhere via higher resolution data. Thus, it should be noted that our database excludes all small dune fields and some moderate to large dune fields as well. Therefore, the absence of mapped dune fields does not mean that such dune fields do not exist and is not intended to imply a lack of saltating sand in other areas. Where availability and quality of THEMIS visible (VIS), Mars Orbiter Camera narrow angle (MOC NA), or Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) images allowed, we classified dunes and included some dune slipface measurements, which were derived from gross dune morphology and represent the prevailing wind direction at the last time of significant dune modification. It was beyond the scope of this report to look at the detail needed to discern subtle dune modification. It was also beyond the scope of this report to measure all slipfaces. We attempted to include enough slipface measurements to represent the general circulation (as implied by gross dune morphology) and to give a sense of the complex nature of aeolian activity on Mars. The absence of slipface measurements in a given direction should not be taken as evidence that winds in that direction did not occur. When a dune field was located within a crater, the azimuth from crater centroid to dune field centroid was calculated, as another possible indicator of wind direction. Output from a general circulation model (GCM) is also included. In addition to polygons locating dune fields, the database includes THEMIS visible (VIS) and Mars Orbiter Camera Narrow Angle (MOC NA) images that were used to build the database. The database is presented in a variety of formats. It is presented as an ArcReader project which can be opened using the free ArcReader software. The latest version of ArcReader can be downloaded at http://www.esri.com/software/arcgis/arcreader/download.html. The database is also presented in an ArcMap project. The ArcMap project allows fuller use of the data, but requires ESRI ArcMap(Registered) software. A fuller description of the projects can be found in the NP_Dunes_ReadMe file (NP_Dunes_ReadMe folder_ and the NP_Dunes_ReadMe_GIS file (NP_Documentation folder). For users who prefer to create their own projects, the data are available in ESRI shapefile and geodatabase formats, as well as the open Geography Markup Language (GML) format. A printable map of the dunes and craters in the database is available as a Portable Document Format (PDF) document. The map is also included as a JPEG file. (NP_Documentation folder) Documentation files are available in PDF and ASCII (.txt) files. Tables are available in both Excel and ASCII (.txt)

GIS Services, Visualization Products, and Interoperability at the National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center (NCDC)

NASA Astrophysics Data System (ADS)

Baldwin, R.; Ansari, S.; Reid, G.; Lott, N.; Del Greco, S.

2007-12-01

The main goal in developing and deploying Geographic Information System (GIS) services at NOAA's National Climatic Data Center (NCDC) is to provide users with simple access to data archives while integrating new and informative climate products. Several systems at NCDC provide a variety of climatic data in GIS formats and/or map viewers. The Online GIS Map Services provide users with data discovery options which flow into detailed product selection maps, which may be queried using standard "region finder" tools or gazetteer (geographical dictionary search) functions. Each tabbed selection offers steps to help users progress through the systems. A series of additional base map layers or data types have been added to provide companion information. New map services include: Severe Weather Data Inventory, Local Climatological Data, Divisional Data, Global Summary of the Day, and Normals/Extremes products. THREDDS Data Server technology is utilized to provide access to gridded multidimensional datasets such as Model, Satellite and Radar. This access allows users to download data as a gridded NetCDF file, which is readable by ArcGIS. In addition, users may subset the data for a specific geographic region, time period, height range or variable prior to download. The NCDC Weather Radar Toolkit (WRT) is a client tool which accesses Weather Surveillance Radar 1988 Doppler (WSR-88D) data locally or remotely from the NCDC archive, NOAA FTP server or any URL or THREDDS Data Server. The WRT Viewer provides tools for custom data overlays, Web Map Service backgrounds, animations and basic filtering. The export of images and movies is provided in multiple formats. The WRT Data Exporter allows for data export in both vector polygon (Shapefile, Well-Known Text) and raster (GeoTIFF, ESRI Grid, VTK, NetCDF, GrADS) formats. As more users become accustom to GIS, questions of better, cheaper, faster access soon follow. Expanding use and availability can best be accomplished through standards which promote interoperability. Our GIS related products provide Open Geospatial Consortium (OGC) compliant Web Map Services (WMS), Web Feature Services (WFS), Web Coverage Services (WCS) and Federal Geographic Data Committee (FGDC) metadata as a complement to the map viewers. KML/KMZ data files (soon to be compliant OGC specifications) also provide access.

The GLIMS Glacier Database

NASA Astrophysics Data System (ADS)

Raup, B. H.; Khalsa, S. S.; Armstrong, R.

2007-12-01

The Global Land Ice Measurements from Space (GLIMS) project has built a geospatial and temporal database of glacier data, composed of glacier outlines and various scalar attributes. These data are being derived primarily from satellite imagery, such as from ASTER and Landsat. Each "snapshot" of a glacier is from a specific time, and the database is designed to store multiple snapshots representative of different times. We have implemented two web-based interfaces to the database; one enables exploration of the data via interactive maps (web map server), while the other allows searches based on text-field constraints. The web map server is an Open Geospatial Consortium (OGC) compliant Web Map Server (WMS) and Web Feature Server (WFS). This means that other web sites can display glacier layers from our site over the Internet, or retrieve glacier features in vector format. All components of the system are implemented using Open Source software: Linux, PostgreSQL, PostGIS (geospatial extensions to the database), MapServer (WMS and WFS), and several supporting components such as Proj.4 (a geographic projection library) and PHP. These tools are robust and provide a flexible and powerful framework for web mapping applications. As a service to the GLIMS community, the database contains metadata on all ASTER imagery acquired over glacierized terrain. Reduced-resolution of the images (browse imagery) can be viewed either as a layer in the MapServer application, or overlaid on the virtual globe within Google Earth. The interactive map application allows the user to constrain by time what data appear on the map. For example, ASTER or glacier outlines from 2002 only, or from Autumn in any year, can be displayed. The system allows users to download their selected glacier data in a choice of formats. The results of a query based on spatial selection (using a mouse) or text-field constraints can be downloaded in any of these formats: ESRI shapefiles, KML (Google Earth), MapInfo, GML (Geography Markup Language) and GMT (Generic Mapping Tools). This "clip-and-ship" function allows users to download only the data they are interested in. Our flexible web interfaces to the database, which includes various support layers (e.g. a layer to help collaborators identify satellite imagery over their region of expertise) will facilitate enhanced analysis to be undertaken on glacier systems, their distribution, and their impacts on other Earth systems.

Large-Scale Digital Geologic Map Databases and Reports of the North Coal District in Afghanistan

USGS Publications Warehouse

Hare, Trent M.; Davis, Philip A.; Nigh, Devon; Skinner, James A.; SanFilipo, John R.; Bolm, Karen S.; Fortezzo, Corey M.; Galuszka, Donna; Stettner, William R.; Sultani, Shafiqullah; Nader, Billal

2008-01-01

This report describes the Afghanistan coal resource maps and associated databases that have been digitally captured and maps that have been thus far converted to GIS databases. Several maps by V/O Technoexport, USSR (VOTU) and Bundesanstalt fur Bodenforschung (BGR), Hannover, Germany, are captured here. Most of the historical coal exploration is concentrated in north-central Afghanistan, a region referred to as the 'North Coal District', and almost all of the coal-related maps found Afghanistan Geological Survey (AGS) archives to date cover various locations within that district as shown in the index map. Most of the maps included herein were originally scanned during U.S. Geological Survey (USGS) site visits to Kabul in November 2004 and February 2006. The scanning was performed using equipment purchased by U.S. Agency for International Development (USAID) and U.S. Trade and Development Agency (USTDA) and installed at the AGS by USGS. Many of these maps and associated reports exist as single unpublished copies in the AGS archives, so these efforts served not only to provide a basis for digital capturing, but also as a means for preserving these rare geologic maps and reports. The data included herein represent most of the coal-related reports and maps that are available in the AGS archives. This report excludes the limited cases when a significant portion of a report's text could not be located, but it does not exclude reports with missing plates. The vector files are released using the Environmental Systems Research Institute (ESRI) Personal Geodatabase, ESRI shapefile vector format, and the open Geography Markup Language (GML) format. Scanned images are available in JPEG and, when rectified, GeoTIFF format. The authors wish to acknowledge the contributions made by the staff of the AGS Records and Coal Departments whose valuable assistance made it possible to locate and catalogue the data provided herein. We especially acknowledge the efforts of particular members of the coal team: Engineer Saifuddin Aminy (Team Leader); Engineer Gul Pacha Azizi; Engineer Abdul Haq Barakati; Engineer Abdul Basir; Engineer Mohammad Daoud; Engineer Abdullah Ebadi; Engineer Abdul Ahad Omaid; Engineer Spozmy; and Engineer Shapary Tokhi. The ongoing efforts of Engineer Mir M. Atiq Kazimi (Team leader); Engineer M. Anwar Housinzada; and Engineer Shereen Agha of the AGS Records Department to organize and catalogue the AGS material were invaluable in locating and preserving these data. The efforts of the entire AGS staff to personally preserve these data during war time, in the absence of virtually any supporting infrastructure, was truly remarkable. The efforts by the British Geological Survey (BGS) to assist the AGS in archiving these data, and the personal assistance provided by BGS (notably Robert McIntosh), to the USGS teams were also appreciated. The logistical support provided by the U.S. Embassy in Kabul, particularly the Afghanistan Reconstruction Group, was critical to the success of the USGS teams while in Afghanistan. Finally, the efforts of the Minister of the Ministry of Mines and Industries (M. Ibrahim Adel) to support the USGS coal resource assessment in Afghanistan, in both his current and former role as President of the Mines Affairs Department was vital to this effort.

CONNECTICUT SURFACE WATER QUALITY CLASSIFICATIONS

EPA Science Inventory

This is a 1:24,000-scale datalayer of Surface Water Quality Classifications for Connecticut. It is comprised of two 0Shapefiles with line and polygon features. Both Shapefiles must be used together with the Hydrography datalayer. The polygon Shapefile includes surface water qual...

Great Basin geoscience data base

USGS Publications Warehouse

Raines, Gary L.; Sawatzky, Don L.; Connors, Katherine A.

1996-01-01

This CD-ROM serves as the archive for 73 digital GIS data set for the Great Basin. The data sets cover Nevada, eastern California, southeastern Oregon, southern Idaho, and western Utah. Some of the data sets are incomplete for the total area. On the CD-ROM, the data are provided in three formats, a prototype Federal Data Exchange standard format, the ESRI PC ARCVIEW1 format for viewing the data, and the ESRI ARC/INFO export format. Extensive documentation is provided to describe the data, the sources, and data enhancements. The following data are provided. One group of coverages comes primarily from 1:2,000,000-scale National Atlas data and can be assembled for use as base maps. These various forms of topographic information. In addition, public land system data sets are provided from the 1:2,500,000-scale Geologic Map of the United States and 1:500,000-scale geologic maps of Nevada, Oregon, and Utah. Geochemical data from the National Uranium Resource Evaluation (NURE) program are provided for most of the Great Basin. Geophysical data are provided for most of the Great Basin, typically gridded data with a spacing of 1 km. The geophysical data sets include aeromagnetics, gravity, radiometric data, and several derivative products. The thematic data sets include geochronology, calderas, pluvial lakes, tectonic extension domains, distribution of pre-Cenozoic terranes, limonite anomalies, Landsat linear features, mineral sites, and Bureau of Land Management exploration and mining permits.

Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp)

USGS Publications Warehouse

Hartwell, Stephen R.; Wingfield, Dana K.; Allwardt, Alan O.; Wong, Florence L.; Lightsom, Frances L.

2013-01-01

A shapefile of 492 Coastal Zone Management Program counties of the United States and its territories, current for the ground condition in 2009, has been extracted from the U.S. Census Bureau MAF/TIGER database. Geospatial information systems with the capability to search user-defined, polygonal geographic areas will be able to utilize this shapefile or secondary products derived from it, such as well-known text representations of the individual polygons within the shapefile.

Copyright | USDA Plant Hardiness Zone Map

Science.gov Websites

Copyright Copyright Map graphics. As a U.S. Government publication, the USDA Plant Hardiness Zone Map itself Specific Cooperative Agreement, Oregon State University agreed to supply the U.S. Government with unenhanced (standard resolution) GIS data in grid and shapefile formats. U.S. Government users may use these

Teachers' Perceptions of Esri Story Maps as Effective Teaching Tools

ERIC Educational Resources Information Center

Strachan, Caitlin; Mitchell, Jerry

2014-01-01

The current study explores teachers' perceptions of Esri Story Maps as effective teaching tools. Story Maps are a relatively new web application created using Esri's cloud-based GIS platform, ArcGIS Online. They combine digitized, dynamic web maps with other story elements to help the creator effectively convey a message. The relative ease…

Enhanced Historical Land-Use and Land-Cover Data Sets of the U.S. Geological Survey

USGS Publications Warehouse

Price, Curtis V.; Nakagaki, Naomi; Hitt, Kerie J.; Clawges, Rick M.

2007-01-01

Historical land-use and land-cover data, available from the U.S. Geological Survey (USGS) for the conterminous United States and Hawaii, have been enhanced for use in geographic information systems (GIS) applications. The original digital data sets were created by the USGS in the late 1970s and early 1980s and were later converted by USGS and the U.S. Environmental Protection Agency (USEPA) to a geographic information system (GIS) format in the early 1990s. These data were made available on USEPA's Web site since the early 1990s and have been used for many national applications, despite minor coding and topological errors. During the 1990s, a group of USGS researchers made modifications to the data set for use in the National Water-Quality Assessment Program. These edited files have been further modified to create a more accurate, topologically clean, and seamless national data set. Several different methods, including custom editing software and several batch processes, were applied to create this enhanced version of the national data set. The data sets are included in this report in the commonly used shapefile and Tagged Image Format File (TIFF) formats. In addition, this report includes two polygon data sets (in shapefile format) representing (1) land-use and land-cover source documentation extracted from the previously published USGS data files, and (2) the extent of each polygon data file.

Archuleta County CO Lineaments

DOE Data Explorer

Richard E. Zehner

2012-01-01

This layer traces apparent topographic and air-photo lineaments in the area around Pagosa springs in Archuleta County, Colorado. It was made in order to identify possible fault and fracture systems that might be conduits for geothermal fluids. Geothermal fluids commonly utilize fault and fractures in competent rocks as conduits for fluid flow. Geothermal exploration involves finding areas of high near-surface temperature gradients, along with a suitable plumbing system that can provide the necessary permeability. Geothermal power plants can sometimes be built where temperature and flow rates are high. To do this, georeferenced topographic maps and aerial photographs were utilized in an existing GIS, using ESRI ArcMap 10.0 software. The USA_Topo_Maps and World_Imagery map layers were chosen from the GIS Server at server.arcgisonline.com, using a UTM Zone 13 NAD27 projection. This line shapefile was then constructed over that which appeared to be through-going structural lineaments in both the aerial photographs and topographic layers, taking care to avoid manmade features such as roads, fence lines, and right-of-ways. These lineaments may be displaced somewhat from their actual location, due to such factors as shadow effects with low sun angles in the aerial photographs. Note: This shape file was constructed as an aid to geothermal exploration in preparation for a site visit for field checking. We make no claims as to the existence of the lineaments, their location, orientation, and nature.

Calculation of coal resources using ARC/INFO and Earth Vision; methodology for the National Coal Resource Assessment

USGS Publications Warehouse

Roberts, L.N.; Biewick, L.R.

1999-01-01

This report documents a comparison of two methods of resource calculation that are being used in the National Coal Resource Assessment project of the U.S. Geological Survey (USGS). Tewalt (1998) discusses the history of using computer software packages such as GARNET (Graphic Analysis of Resources using Numerical Evaluation Techniques), GRASS (Geographic Resource Analysis Support System), and the vector-based geographic information system (GIS) ARC/INFO (ESRI, 1998) to calculate coal resources within the USGS. The study discussed here, compares resource calculations using ARC/INFO* (ESRI, 1998) and EarthVision (EV)* (Dynamic Graphics, Inc. 1997) for the coal-bearing John Henry Member of the Straight Cliffs Formation of Late Cretaceous age in the Kaiparowits Plateau of southern Utah. Coal resource estimates in the Kaiparowits Plateau using ARC/INFO are reported in Hettinger, and others, 1996.

Parallel Processing of Numerical Tsunami Simulations on a High Performance Cluster based on the GDAL Library

NASA Astrophysics Data System (ADS)

Schroeder, Matthias; Jankowski, Cedric; Hammitzsch, Martin; Wächter, Joachim

2014-05-01

Thousands of numerical tsunami simulations allow the computation of inundation and run-up along the coast for vulnerable areas over the time. A so-called Matching Scenario Database (MSDB) [1] contains this large number of simulations in text file format. In order to visualize these wave propagations the scenarios have to be reprocessed automatically. In the TRIDEC project funded by the seventh Framework Programme of the European Union a Virtual Scenario Database (VSDB) and a Matching Scenario Database (MSDB) were established amongst others by the working group of the University of Bologna (UniBo) [1]. One part of TRIDEC was the developing of a new generation of a Decision Support System (DSS) for tsunami Early Warning Systems (TEWS) [2]. A working group of the GFZ German Research Centre for Geosciences was responsible for developing the Command and Control User Interface (CCUI) as central software application which support operator activities, incident management and message disseminations. For the integration and visualization in the CCUI, the numerical tsunami simulations from MSDB must be converted into the shapefiles format. The usage of shapefiles enables a much easier integration into standard Geographic Information Systems (GIS). Since also the CCUI is based on two widely used open source products (GeoTools library and uDig), whereby the integration of shapefiles is provided by these libraries a priori. In this case, for an example area around the Western Iberian margin several thousand tsunami variations were processed. Due to the mass of data only a program-controlled process was conceivable. In order to optimize the computing efforts and operating time the use of an existing GFZ High Performance Computing Cluster (HPC) had been chosen. Thus, a geospatial software was sought after that is capable for parallel processing. The FOSS tool Geospatial Data Abstraction Library (GDAL/OGR) was used to match the coordinates with the wave heights and generates the different shapefiles for certain time steps. The shapefiles contain afterwards lines for visualizing the isochrones of the wave propagation and moreover, data about the maximum wave height and the Estimated Time of Arrival (ETA) at the coast. Our contribution shows the entire workflow and the visualizing results of the-processing for the example region Western Iberian ocean margin. [1] Armigliato A., Pagnoni G., Zaniboni F, Tinti S. (2013), Database of tsunami scenario simulations for Western Iberia: a tool for the TRIDEC Project Decision Support System for tsunami early warning, Vol. 15, EGU2013-5567, EGU General Assembly 2013, Vienna (Austria). [2] Löwe, P., Wächter, J., Hammitzsch, M., Lendholt, M., Häner, R. (2013): The Evolution of Service-oriented Disaster Early Warning Systems in the TRIDEC Project, 23rd International Ocean and Polar Engineering Conference - ISOPE-2013, Anchorage (USA).

Integrating ArcGIS Online with GEOSS Data Access Broker

NASA Astrophysics Data System (ADS)

Lucchi, Roberto; Hogeweg, Marten

2014-05-01

The Global Earth Observation System of Systems (GEOSS) seeks to address 9 societal benefit areas for Earth observations to address: disasters, health, energy, climate, agriculture, ecosystems, biodiversity, water, and weather. As governments and their partners continue to monitor the face of the Earth, the collection, storage, analysis, and sharing of these observations remain fragmented, incomplete, or redundant. Major observational gaps also remain (particularly as we seek to look beneath the surface of the land and the water). As such, GEO's credo is that "decision makers need a global, coordinated, comprehensive, and sustained system of observing systems." Not surprisingly, one of the largest block of issues facing GEOSS is in the area of data: the access to data (including the building services to make the data more accessible), inadequate data integration and interoperability, error and uncertainty of observations, spatial and temporal gaps in observations, and the related issues of user involvement and capacity building. This is especially for people who stand to gain the most benefit from the datasets, but don't have the resources or knowledge to use them. Esri has millions of GIS and imagery users in hundreds of thousands of organizations around the world that work in the aforementioned 9 GEO societal benefit areas. Esri is therefore proud to have entered into a partnership with GEOSS, more specifically by way of a Memorandum of Understanding (MOU) between Esri and the Earth and Space Science Informatics (ESSI) Laboratory of Prof. Stefano Nativi at the CNR (National Research Council of Italy) Institute of Atmospheric Pollution Research. Esri is working with the ESSI Lab to integrate ArcGIS Online by way of the ArcGIS Online API into the GEOSS Data Access Broker (DAB), resulting in the discoverability of all public content from ArcGIS Online through many of the search portals that participate in this network (e.g., DataOne, CEOS, CUAHSI, OneGeology, IOOS). The synergistic efforts will include: 1) Providing the GEOSS community with access to Esri GIS community content, expertise and technology through the GEOSS DAB, as well as to collaboration tools via the ArcGIS platform. 2) Encouraging the Esri GIS community to participate as contributors and users of GEOSS. 3) Supporting the extension of GEOSS to include ArcGIS Online publicly-available data. 4) Collaboration on outreach to both the GIS and GEO communities on effective use of GEOSS, particularly for environmental decision-making. 5) Collaboration on the evolution of GEOSS as an open and interoperable platform in conjunction with the GEOSS community. Protocols such as OPenDAP and formats such as netCDF will play a critical role. This talk will present the initial results of the collaboration which includes the integration of ArcGIS Online in the GEOSS DAB.

Map of the Rinconada and Reliz Fault Zones, Salinas River Valley, California

USGS Publications Warehouse

Rosenberg, Lewis I.; Clark, Joseph C.

2009-01-01

The Rinconada Fault and its related faults constitute a major structural element of the Salinas River valley, which is known regionally, and referred to herein, as the 'Salinas Valley'. The Rinconada Fault extends 230 km from King City in the north to the Big Pine Fault in the south. At the south end of the map area near Santa Margarita, the Rinconada Fault separates granitic and metamorphic crystalline rocks of the Salinian Block to the northeast from the subduction-zone assemblage of the Franciscan Complex to the southwest. Northwestward, the Rinconada Fault lies entirely within the Salinian Block and generally divides this region into two physiographically and structurally distinct areas, the Santa Lucia Range to the west and the Salinas Valley to the east. The Reliz Fault, which continues as a right stepover from the Rinconada Fault, trends northwestward along the northeastern base of the Sierra de Salinas of the Santa Lucia Range and beyond for 60 km to the vicinity of Spreckels, where it is largely concealed. Aeromagnetic data suggest that the Reliz Fault continues northwestward another 25 km into Monterey Bay, where it aligns with a high-definition magnetic boundary. Geomorphic evidence of late Quaternary movement along the Rinconada and Reliz Fault Zones has been documented by Tinsley (1975), Dibblee (1976, 1979), Hart (1976, 1985), and Klaus (1999). Although definitive geologic evidence of Holocene surface rupture has not been found on these faults, they were regarded as an earthquake source for the California Geological Survey [formerly, California Division of Mines and Geology]/U.S. Geological Survey (CGS/USGS) Probabilistic Seismic Hazards Assessment because of their postulated slip rate of 1+-1 mm/yr and their calculated maximum magnitude of 7.3. Except for published reports by Durham (1965, 1974), Dibblee (1976), and Hart (1976), most information on these faults is unpublished or is contained in theses, field trip guides, and other types of reports. Therefore, the main purpose of this project is to compile and synthesize this body of knowledge into a comprehensive report for the geologic community. This report follows the format of Dibblee (1976) and includes discussions of the sections of the Rinconada Fault and of the Reliz Fault, as well as their Neogene history and key localities. Accompanying this report is a geologic map database of the faults, key localities, and earthquake epicenters, in ESRI shapefile format.

Structural Orientations Adjacent to Some Colorado Geothermal Systems

DOE Data Explorer

Richard

2012-02-01

Structural orientations (fractures, joints, faults, lineaments, bedding orientations, etc.) were collected with a standard Brunton compass during routine field examinations of geothermal phenomena in Colorado. Often multiple orientations were taken from one outcrop. Care was taken to ensure outcrops were "in place". Point data was collected with a hand-held GPS unit. The structural data is presented both as standard quadrant measurements and in format suitable for ESRI symbology

Preliminary digital geologic map of the Penokean (early Proterozoic) continental margin in northern Michigan and Wisconsin

USGS Publications Warehouse

Cannon, W.F.; Ottke, Doug

1999-01-01

The data on this CD consist of geographic information system (GIS) coverages and tabular data on the geology of Early Proterozoic and Archean rocks in part of the Early Proterozoic Penokean orogeny. The map emphasizes metasedimentary and metavolcanic rocks that were deposited along the southern margin of the Superior craton and were later deformed during continental collision at about 1850 Ma. The area includes the famous iron ranges of the south shore region of the Lake Superior district. Base maps, both as digital raster graphics (DRG) and digital line graphs (DLG) are also provided for the convenience of users. The map has been compiled from many individual studies, mostly by USGS researchers, completed during the past 50 years, including many detailed (1:24,000 scale) geologic maps. Data was compiled at 1:100,000 scale and preserves most of the details of source materials. This product is a preliminary release of the geologic map data bases during ongoing studies of the geology and metallogeny of the Penokean continental margin. Files are provided in three formats: Federal Spatial Data Transfer format (SDTS), Arc export format (.e00) files, and Arc coverages. All files can be accessed directly from the CD-ROM using either ARC/INFO 7.1.2 or later or Arc View 3.0 or later software. ESRI's Arc Explorer, a free GIS data viewer available at the web site: http://www.esri.com/software/arcexplorer/index.html also provides display and querying capability for these files.

Polygons of global undersea features for geographic searches

USGS Publications Warehouse

Hartwell, Stephen R.; Wingfield, Dana K.; Allwardt, Alan O.; Lightsom, Frances L.; Wong, Florence L.

2018-01-01

A shapefile of 311 undersea features from all major oceans and seas has been created as an aid for retrieving georeferenced information resources. Geospatial information systems with the capability to search user-defined, polygonal geographic areas will be able to utilize this shapefile or secondary products derived from it, such as linked data based on well-known text representations of the individual polygons within the shapefile. Version 1.1 of this report also includes a linked data representation of 299 of these features and their spatial extents.

Utah FORGE Site Location, Datasets, and Models

DOE Office of Scientific and Technical Information (OSTI.GOV)

Joe Moore

This submission includes the geographic extent shapefile of the Milford FORGE site located in Utah, along with a shapefile of seismometer positions throughout the area, and models of basin depth and potentiometric contours.

hi_dni_10km

Science.gov Websites

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770 en Monthly and @NREL.gov 10km Direct Normal Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog

Faults, Fractures, and Lineaments in the Mineral Mountains, Utah

DOE Office of Scientific and Technical Information (OSTI.GOV)

Joe Moore

This submission includes a shapefile of the Opal Mound Fault, and multiple datasets of lineaments mapped in the Mineral Mountains which overlook the Utah FORGE site, hyperlinked to rose diagrams in a polygon grid shapefile.

A Planning Tool for Estimating Waste Generated by a Radiological Incident and Subsequent Decontamination Efforts - 13569

DOE Office of Scientific and Technical Information (OSTI.GOV)

Boe, Timothy; Lemieux, Paul; Schultheisz, Daniel

2013-07-01

Management of debris and waste from a wide-area radiological incident would probably constitute a significant percentage of the total remediation cost and effort. The U.S. Environmental Protection Agency's (EPA's) Waste Estimation Support Tool (WEST) is a unique planning tool for estimating the potential volume and radioactivity levels of waste generated by a radiological incident and subsequent decontamination efforts. The WEST was developed to support planners and decision makers by generating a first-order estimate of the quantity and characteristics of waste resulting from a radiological incident. The tool then allows the user to evaluate the impact of various decontamination/demolition strategies onmore » the waste types and volumes generated. WEST consists of a suite of standalone applications and Esri{sup R} ArcGIS{sup R} scripts for rapidly estimating waste inventories and levels of radioactivity generated from a radiological contamination incident as a function of user-defined decontamination and demolition approaches. WEST accepts Geographic Information System (GIS) shape-files defining contaminated areas and extent of contamination. Building stock information, including square footage, building counts, and building composition estimates are then generated using the Federal Emergency Management Agency's (FEMA's) Hazus{sup R}-MH software. WEST then identifies outdoor surfaces based on the application of pattern recognition to overhead aerial imagery. The results from the GIS calculations are then fed into a Microsoft Excel{sup R} 2007 spreadsheet with a custom graphical user interface where the user can examine the impact of various decontamination/demolition scenarios on the quantity, characteristics, and residual radioactivity of the resulting waste streams. (authors)« less

Descriptive models, grade-tonnage relations, and databases for the assessment of sediment-hosted copper deposits: with emphasis on deposits in the Central Africa Copperbelt, Democratic Republic of the Congo and Zambia: Chapter J in Global mineral resource assessment

USGS Publications Warehouse

Taylor, Cliff D.; Causey, J. Douglas; Denning, Paul; Hammarstrom, Jane M.; Hayes, Timothy S.; Horton, John D.; Kirschbaum, Michael J.; Parks, Heather L.; Wilson, Anna B.; Wintzer, Niki E.; Zientek, Michael L.

2013-01-01

Chapter 1 of this report summarizes a descriptive model of sediment-hosted stratabound copper deposits. General characteristics and subtypes of sediment-hosted stratabound copper deposits are described based upon worldwide examples. Chapter 2 provides a global database of 170 sediment-hosted copper deposits, along with a statistical evaluation of grade and tonnage data for stratabound deposits, a comparison of stratabound deposits in the CACB with those found elsewhere, a discussion of the distinctive characteristics of the subtypes of sediment-hosted copper deposits that occur within the CACB, and guidelines for using grade and tonnage distributions for assessment of undiscovered resources in sediment-hosted stratabound deposits in the CACB. Chapter 3 presents a new descriptive model of sediment-hosted structurally controlled replacement and vein (SCRV) copper deposits with descriptions of individual deposits of this type in the CACB and elsewhere. Appendix A describes a relational database of tonnage, grade, and other information for more than 100 sediment-hosted copper deposits in the CACB. These data are used to calculate the pre-mining mineral endowment for individual deposits in the CACB and serve as the basis for the grade and tonnage models presented in chapter 2. Appendix B describes three spatial databases (Esri shapefiles) for (1) point locations of more than 500 sediment-hosted copper deposits and prospects, (2) projected surface extent of 86 selected copper ore bodies, and (3) areal extent of 77 open pits, all within the CACB.

Nationwide Benthic Macroinvertebrate Assemblage Multimetric Indices: Identifying Inconsistencies and Limitations in Reporting Stream Impairment Status, USA

NASA Astrophysics Data System (ADS)

Lau, J. K.; Lauer, T. E.

2015-07-01

The objective of this study was to identify the current status of stream water-quality assessment and reporting methods for four states in the Ohio River basin (Indiana, Ohio, Tennessee, and Virginia), as required by the 305(b) section of the United States (US) Clean Water Act. Specifically, we clarified the discrepancies that exist among stream-impairment status classified by benthic macroinvertebrate multimetric indices (MMIs) and depicted using Geographic Information Systems shapefiles. In addition, we provided guidance in solving some of the comparability problems that arise when developing state-specific MMIs and depicting stream-impairment status using Geographic Information Systems technology. The MMI variation among states and differences in shapefile formats resulted in a nationwide dataset, which cannot be directly compared. Incorporating the changes suggested in this study allow for a uniform assessment and reporting method nationwide. Successful implementation of these changes would strengthen the US Environmental Protection Agency efforts to identify impaired streams and sources of those impairments without the limitations of state-by-state .developed assessment methods.

Land And Forest Area Changes In The Vicinity Of The Mississippi River Gulf Outlet, Central Wetlands Region, 1935-2010

DTIC Science & Technology

2012-03-01

Abstract: As part of the overall Mississippi River Gulf Outlet (MRGO) Ecosystem Restoration Study , the Central Wetlands Unit (CWU) is a critical coastal...The CWU AU data set was digitized in a vector polygon format using ESRI ArcGIS ® software (Environmental Systems Research Institute, Redlands, CA). The...Terrebonne, and Mississippi River Delta basins . The majority of land loss observed in the CWU occurred within the 1935-1958, 1965-1978, and 2004-2006

The Weather Radar Toolkit, National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center's support of interoperability and the Global Earth Observation System of Systems (GEOSS)

NASA Astrophysics Data System (ADS)

Ansari, S.; Del Greco, S.

2006-12-01

In February 2005, 61 countries around the World agreed on a 10 year plan to work towards building open systems for sharing geospatial data and services across different platforms worldwide. This system is known as the Global Earth Observation System of Systems (GEOSS). The objective of GEOSS focuses on easy access to environmental data and interoperability across different systems allowing participating countries to measure the "pulse" of the planet in an effort to advance society. In support of GEOSS goals, NOAA's National Climatic Data Center (NCDC) has developed radar visualization and data exporter tools in an open systems environment. The NCDC Weather Radar Toolkit (WRT) loads Weather Surveillance Radar 1988 Doppler (WSR-88D) volume scan (S-band) data, known as Level-II, and derived products, known as Level-III, into an Open Geospatial Consortium (OGC) compliant environment. The application is written entirely in Java and will run on any Java- supported platform including Windows, Macintosh and Linux/Unix. The application is launched via Java Web Start and runs on the client machine while accessing these data locally or remotely from the NCDC archive, NOAA FTP server or any URL or THREDDS Data Server. The WRT allows the data to be manipulated to create custom mosaics, composites and precipitation estimates. The WRT Viewer provides tools for custom data overlays, Web Map Service backgrounds, animations and basic filtering. The export of images and movies is provided in multiple formats. The WRT Data Exporter allows for data export in both vector polygon (Shapefile, Well-Known Text) and raster (GeoTIFF, ESRI Grid, VTK, NetCDF, GrADS) formats. By decoding the various Radar formats into the NetCDF Common Data Model, the exported NetCDF data becomes interoperable with existing software packages including THREDDS Data Server and the Integrated Data Viewer (IDV). The NCDC recently partnered with NOAA's National Severe Storms Lab (NSSL) to decode Sigmet C-band Doppler radar data providing the NCDC Viewer/Data Exporter the functionality to read C-Band. This also supports a bilateral agreement between the United States and Canada for data sharing and to support interoperability with the US WSR-88D and Environment Canada radar networks. In addition, the NCDC partnered with the University of Oklahoma to develop decoders to read a test bed of distributed X- band radars that are funded through the Collaborative Adaptive Sensing of the Atmosphere (CASA) project. The NCDC is also archiving the National Mosaic and Next Generation QPE (Q2) products from NSSL, which provide products such as three-dimensional reflectivity, composite reflectivity and precipitation estimates at a 1 km resolution. These three sources of Radar data are also supported in the WRT.

An android application for crime analysis in San Diego

NASA Astrophysics Data System (ADS)

Gonchikara, Likhita

Over the past few years, smartphone adoption has increased worldwide. In this era of smartphones, one of the easiest ways to make this information available to many users is through smartphone applications. Smartphone applications can provide requested information in a readable and user friendly format. Information related to data such as real estate, property, post offices, crime locations and many others can be very useful. Such information helps city planners, residents, students and commuters to identify and communicate trends and patterns about places. ESRI`s ARCGIS provides various services and tools which help visualize real-world features, discover patterns, obtain information, and communicate that information to others. When these services work in conjunction with GPS based location services in smartphones, they create new avenues for applications. This thesis implements an Android smartphone application with features to analyze location based crime data. The user of this application can view crime data in a region and filter different crime types. The application allows the user to query and analyze crimes that have occurred near his location or at a location of interest. The application includes features to measure distance between crime spots and also measure area on the map. The user can also switch the base-map from street map to NatGeo map. Powered with this information, renters and home buyers can ensure that their new home is in a safe location. Real estate agents can buy or sell property in safer locations. Commuters can find routes which avoid crime spots. Tourists can find accommodation in safer places. Students can be aware of the high crime rate areas around the school campus. This application uses ArcGIS feature service by ESRI to render all data on the map.

78 FR 5750 - Data Specifications for Collecting Study Area Boundaries

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-28

... study area. The shapefile must contain one data record for each exchange that constitutes the study area... . Submitted shapefiles must: A. Contain one closed, non-overlapping polygon for each exchange in the study...] Data Specifications for Collecting Study Area Boundaries AGENCY: Federal Communications Commission...

DIY visualizations: opportunities for story-telling with esri tools

Treesearch

Charles H. Perry; Barry T. Wilson

2015-01-01

The Forest Service and Esri recently entered into a partnership: (1) to distribute FIA and other Forest Service data with the public and stakeholders through ArcGIS Online, and (2) to facilitate the application of the ArcGIS platform within the Forest Service to develop forest management and landscape management plans, and support their scientific research activities....

Granite Springs Valley, Nevada - Well data and Temperature Survey

DOE Data Explorer

Faulds, Jim

2017-09-14

This data is associated with the Nevada Play Fairway project and includes excel files containing raw 2-meter temperature data and corrections. GIS shapefiles and layer files contain ing location and attribute information for the data are included. Well data includes both deep and shallow TG holes, GIS shapefiles and layer files.

Petroleum resource potential GIS of northern Afghanistan

USGS Publications Warehouse

Steinshouer, Douglas W.; Klett, Timothy R.; Ulmishek, Gregory F.; Wandrey, Craig J.; Wahl, Ronald R.; Hill, Ronald J.; Pribil, Michael J.; Pawlewicz, Mark J.; King, J. David; Agena, Warren F.; Taylor, David J.; Amirzada, Abdulla; Selab, Amir Mohammad; Mutteh, Abdul-Salam; Haidari, Ghulam Naqshband; Wardak, Moeengul Gullabudeen

2006-01-01

The CD-ROM contains an ESRI ArcReader format GIS project presenting the results of a petroleum resource assessment of Northern Afghanistan, and other data used in the petroleum assessment. Geologic, structural, field, well, political, and other GIS layers covering Afghanistan, Northern Afghanistan and adjacent areas, along with associated geochemical and other data tables pertinent to a petroleum assessment are included. The purpose of this GIS is to provide the basic data layers and tables required to support the petroleum assessment, data for further exploration and development, and an index of known data.

Tularosa Basin Play Fairway Analysis: Weights of Evidence; Mineralogy, and Temperature Anomaly Maps

DOE Data Explorer

Adam Brandt

2015-11-15

This submission has two shapefiles and a tiff image. The weights of evidence analysis was applied to data representing heat of the earth and fracture permeability using training sites around the Southwest; this is shown in the tiff image. A shapefile of surface temperature anomalies was derived from the statistical analysis of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) thermal infrared data which had been converted to surface temperatures; these anomalies have not been field checked. The second shapefile shows outcrop mineralogy which originally mapped by the New Mexico Bureau of Geology and Mineral Resources, and supplemented with mineralogic information related to rock fracability risk for EGS. Further metadata can be found within each file.

GIS Analysis to Assess where Shallow Ground Water Supplies in the United States are Vulnerable to Contamination by Releases of Motor Fuel from Underground Storage Tanks

EPA Science Inventory

Data reported on the long form of the 1990 United State Census were used to identify the number of households in each census block group that obtained water from a private source. A data file was purchased form ESRI Business Solutions (ESRI, 2009) that contained the latitude and ...

Interfaces between statistical analysis packages and the ESRI geographic information system

NASA Technical Reports Server (NTRS)

Masuoka, E.

1980-01-01

Interfaces between ESRI's geographic information system (GIS) data files and real valued data files written to facilitate statistical analysis and display of spatially referenced multivariable data are described. An example of data analysis which utilized the GIS and the statistical analysis system is presented to illustrate the utility of combining the analytic capability of a statistical package with the data management and display features of the GIS.

Building MapObjects attribute field in cadastral database based on the method of Jackson system development

NASA Astrophysics Data System (ADS)

Chen, Zhu-an; Zhang, Li-ting; Liu, Lu

2009-10-01

ESRI's GIS components MapObjects are applied in many cadastral information system because of its miniaturization and flexibility. Some cadastral information was saved in cadastral database directly by MapObjects's Shape file format in this cadastral information system. However, MapObjects didn't provide the function of building attribute field for map layer's attribute data file in cadastral database and user cann't save the result of analysis. This present paper designed and realized the function of building attribute field in MapObjects based on the method of Jackson's system development.

Analyst Performance Measures. Volume 1: Persistent Surveillance Data Processing, Storage and Retrieval

DTIC Science & Technology

2011-09-01

solutions to address these important challenges . The Air Force is seeking innovative architectures to process and store massive data sets in a flexible...Google Earth, the Video LAN Client ( VLC ) media player, and the Environmental Systems Research Institute corporation‘s (ESRI) ArcGIS product — to...Earth, Quantum GIS, VLC Media Player, NASA WorldWind, ESRI ArcGIS and many others. Open source GIS and media visualization software can also be

National Water-Quality Assessment (NAWQA) area-characterization toolbox

USGS Publications Warehouse

Price, Curtis V.; Nakagaki, Naomi; Hitt, Kerie J.

2010-01-01

This is release 1.0 of the National Water-Quality Assessment (NAWQA) Area-Characterization Toolbox. These tools are designed to be accessed using ArcGIS Desktop software (versions 9.3 and 9.3.1). The toolbox is composed of a collection of custom tools that implement geographic information system (GIS) techniques used by the NAWQA Program to characterize aquifer areas, drainage basins, and sampled wells. These tools are built on top of standard functionality included in ArcGIS Desktop running at the ArcInfo license level. Most of the tools require a license for the ArcGIS Spatial Analyst extension. ArcGIS is a commercial GIS software system produced by ESRI, Inc. (http://www.esri.com). The NAWQA Area-Characterization Toolbox is not supported by ESRI, Inc. or its technical support staff. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

2016 American Indian/Alaska Native/Native Hawaiian Areas (AIANNH) Michigan, Minnesota, and Wisconsin

EPA Pesticide Factsheets

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary infor

Geologic Map and GIS Data for the Tuscarora Geothermal Area

DOE Data Explorer

Faulds, James E.

2013-12-31

Tuscarora—ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, unit polygons, and attitudes of strata and faults. - List of stratigraphic units and stratigraphic correlation diagram. - Detailed unit descriptions of stratigraphic units. - Five cross‐sections. - Locations of production, injection, and monitor wells. - 3D model constructed with EarthVision using geologic map data, cross‐sections, drill‐hole data, and geophysics (model not in the ESRI geodatabase).

Global mineral resource assessment: porphyry copper assessment of Mexico: Chapter A in Global mineral resource assessment

USGS Publications Warehouse

Hammarstrom, Jane M.; Robinson, Gilpin R.; Ludington, Steve; Gray, Floyd; Drenth, Benjamin J.; Cendejas-Cruz, Francisco; Espinosa, Enrique; Pérez-Segura, Efrén; Valencia-Moreno, Martín; Rodríguez-Castañeda, José Luis; Vásquez-Mendoza, Rigobert; Zürcher, Lukas

2010-01-01

This report includes a brief overview of porphyry copper deposits in Mexico, a description of the assessment process used, a summary of results, and appendixes. Appendixes A through K contain summary information for each tract, as follows: location, the geologic feature assessed, the rationale for tract delineation, tables and descriptions of known deposits and significant prospects, exploration history, model selection, rationale for the estimates, assessment results, and references. The accompanying digital map files (shapefiles) provide permissive tract outlines, assessment results, and data for deposits and prospects in a GIS format (appendix L).

Data documenting the potential distribution of Aedes aegypti in the center of Veracruz, Mexico.

PubMed

Estrada-Contreras, Israel; Sandoval-Ruiz, César A; Mendoza-Palmero, Fredy S; Ibáñez-Bernal, Sergio; Equihua, Miguel; Benítez, Griselda

2017-02-01

The data presented in this article are related to the research article entitled "Establishment of Aedes aegypti (L.) in mountainous regions in Mexico: Increasing number of population at risk of mosquito-borne disease and future climate conditions" (M. Equihua, S. Ibáñez-Bernal, G. Benítez, I. Estrada-Contreras, C.A. Sandoval-Ruiz, F.S. Mendoza-Palmero, 2016) [1]. This article provides presence records in shapefile format used to generate maps of potential distribution of Aedes aegypti with different climate change scenarios as well as each of the maps obtained in raster format. In addition, tables with values of potential distribution of the vector as well as the average values of probability of presence including data of the mosquito incidence along the altitudinal range.

Geophysical and Geospatial Shapefiles from the Milford, Utah FORGE Project

DOE Data Explorer

Joe Moore

2016-03-22

Three shapefiles in this submission show the position of proposed seismic line surveys. The mid-crustal velocity anomaly file shows the extent of an anomalously low P-wave velocity zone in the subsurface. Two other files show the extent of known hydrothermal systems in the Roosevelt Hot Springs area. Another file shows the location of the proposed water pipeline to pump water from the supply wells to the deep drill site.

Geologic Map of the Neal Hot Springs Geothermal Area - GIS Data

DOE Data Explorer

Faulds, James E.

2013-03-31

Neal Hot Springs—ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, unit polygons, and attitudes of strata and faults. - List of stratigraphic units and stratigraphic correlation diagram. - Three cross‐sections. - Locations of production, injection, and exploration wells. - Locations of 40Ar/39Ar samples. - Location of XRF geochemical samples. - 3D model constructed with EarthVision using geologic map data, cross‐sections, drill‐hole data, and geophysics (model not in the ESRI geodatabase).

Improving Situation Awareness with the Android Team Awareness Kit (ATAK)

DTIC Science & Technology

2015-04-01

fluid user experience and enhanced data sharing. 19 6.2.2 Esri Esri is a US-based company that sells geospatial information systems and data services...field, Situational Awareness (SA) needs to be conveyed in a de- centralized manner to the users at the edge of the network as well as at operations...that ATAK has built-in, and the ways it is being used by a variety of military, homeland security, and law enforcement users . Keywords: situational

Geologic Surface Effects of Underground Nuclear Testing, Buckboard Mesa, Climax Stock, Dome Mountain, Frenchman Flat, Rainier/Aqueduct Mesa, and Shoshone Mountain, Nevada Test Site, Nevada

USGS Publications Warehouse

Grasso, Dennis N.

2003-01-01

Surface effects maps were produced for 72 of 89 underground detonations conducted at the Frenchman Flat, Rainier Mesa and Aqueduct Mesa, Climax Stock, Shoshone Mountain, Buckboard Mesa, and Dome Mountain testing areas of the Nevada Test Site between August 10, 1957 (Saturn detonation, Area 12) and September 18, 1992 (Hunters Trophy detonation, Area 12). The ?Other Areas? Surface Effects Map Database, which was used to construct the maps shown in this report, contains digital reproductions of these original maps. The database is provided in both ArcGIS (v. 8.2) geodatabase format and ArcView (v. 3.2) shapefile format. This database contains sinks, cracks, faults, and other surface effects having a combined (cumulative) length of 136.38 km (84.74 mi). In GIS digital format, the user can view all surface effects maps simultaneously, select and view the surface effects of one or more sites of interest, or view specific surface effects by area or site. Three map layers comprise the database. They are: (1) the surface effects maps layer (oase_n27f), (2) the bar symbols layer (oase_bar_n27f), and (3) the ball symbols layer (oase_ball_n27f). Additionally, an annotation layer, named 'Ball_and_Bar_Labels,' and a polygon features layer, named 'Area12_features_poly_n27f,' are contained in the geodatabase version of the database. The annotation layer automatically labels all 295 ball-and-bar symbols shown on these maps. The polygon features layer displays areas of ground disturbances, such as rock spall and disturbed ground caused by the detonations. Shapefile versions of the polygon features layer in Nevada State Plane and Universal Transverse Mercator projections, named 'area12_features_poly_n27f.shp' and 'area12_features_poly_u83m.shp,' are also provided in the archive.

Maps showing geology, oil and gas fields and geological provinces of Africa

USGS Publications Warehouse

Persits, Feliks M.; Ahlbrandt, T.S.; Tuttle, Michele L.W.; Charpentier, R.R.; Brownfield, M.E.; Takahashi, Kenneth

1997-01-01

The CD-ROM was compiled according to the methodology developed by the U.S. Geological Survey's World Energy Project . The goal of the project was to assess the undiscovered, technically recoverable oil and gas resources of the world and report these results by the year 2000. A worldwide series of geologic maps, published on CD-ROMs, was released by the U.S. Geological Survey's World Energy Project during 1997 - 2000. Specific details of the data sources and map compilation are given in the metadata files on this CD-ROM. These maps were compiled using Environmental Systems Research Institute Inc. (ESRI) ARC/INFO software. Political boundaries and cartographic representations on this map are shown (with permission) from ESRI's ArcWorld 1:3M digital coverage: they have no political significance and are displayed as general reference only. Portions of this database covering the coastline and country boundaries contain proprietary property of ESRI. (Copyright 1992 and 1996, Environmental Systems Research Institute Inc. All rights reserved.)

TIGER 2010 Boundaries

EPA Pesticide Factsheets

This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This web service includes the State and County boundaries from the TIGER shapefiles compiled into a single national coverage for each layer. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).

A seamless, high-resolution digital elevation model (DEM) of the north-central California coast

USGS Publications Warehouse

Foxgrover, Amy C.; Barnard, Patrick L.

2012-01-01

A seamless, 2-meter resolution digital elevation model (DEM) of the north-central California coast has been created from the most recent high-resolution bathymetric and topographic datasets available. The DEM extends approximately 150 kilometers along the California coastline, from Half Moon Bay north to Bodega Head. Coverage extends inland to an elevation of +20 meters and offshore to at least the 3 nautical mile limit of state waters. This report describes the procedures of DEM construction, details the input data sources, and provides the DEM for download in both ESRI Arc ASCII and GeoTIFF file formats with accompanying metadata.

TIGER 2010 Boundaries

EPA Pesticide Factsheets

This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This web service includes the State, County, and Census Block Groups boundaries from the TIGER shapefiles compiled into a single national coverage for each layer. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).

Preliminary Geologic Map of the Topanga 7.5' Quadrangle, Southern California: A Digital Database

USGS Publications Warehouse

Yerkes, R.F.; Campbell, R.H.

1995-01-01

INTRODUCTION This Open-File report is a digital geologic map database. This pamphlet serves to introduce and describe the digital data. There is no paper map included in the Open-File report. This digital map database is compiled from previously published sources combined with some new mapping and modifications in nomenclature. The geologic map database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U. S. Geological Survey. For detailed descriptions of the units, their stratigraphic relations and sources of geologic mapping consult Yerkes and Campbell (1994). More specific information about the units may be available in the original sources. The content and character of the database and methods of obtaining it are described herein. The geologic map database itself, consisting of three ARC coverages and one base layer, can be obtained over the Internet or by magnetic tape copy as described below. The processes of extracting the geologic map database from the tar file, and importing the ARC export coverages (procedure described herein), will result in the creation of an ARC workspace (directory) called 'topnga.' The database was compiled using ARC/INFO version 7.0.3, a commercial Geographic Information System (Environmental Systems Research Institute, Redlands, California), with version 3.0 of the menu interface ALACARTE (Fitzgibbon and Wentworth, 1991, Fitzgibbon, 1991, Wentworth and Fitzgibbon, 1991). It is stored in uncompressed ARC export format (ARC/INFO version 7.x) in a compressed UNIX tar (tape archive) file. The tar file was compressed with gzip, and may be uncompressed with gzip, which is available free of charge via the Internet from the gzip Home Page (http://w3.teaser.fr/~jlgailly/gzip). A tar utility is required to extract the database from the tar file. This utility is included in most UNIX systems, and can be obtained free of charge via the Internet from Internet Literacy's Common Internet File Formats Webpage http://www.matisse.net/files/formats.html). ARC/INFO export files (files with the .e00 extension) can be converted into ARC/INFO coverages in ARC/INFO (see below) and can be read by some other Geographic Information Systems, such as MapInfo via ArcLink and ESRI's ArcView (version 1.0 for Windows 3.1 to 3.11 is available for free from ESRI's web site: http://www.esri.com). 1. Different base layer - The original digital database included separates clipped out of the Los Angeles 1:100,000 sheet. This release includes a vectorized scan of a scale-stable negative of the Topanga 7.5 minute quadrangle. 2. Map projection - The files in the original release were in polyconic projection. The projection used in this release is state plane, which allows for the tiling of adjacent quadrangles. 3. File compression - The files in the original release were compressed with UNIX compression. The files in this release are compressed with gzip.

Establishing Esri ArcGIS Enterprise Platform Capabilities to Support Response Activities of the NASA Earth Science Disasters Program

NASA Astrophysics Data System (ADS)

Molthan, A.; Seepersad, J.; Shute, J.; Carriere, L.; Duffy, D.; Tisdale, B.; Kirschbaum, D.; Green, D. S.; Schwizer, L.

2017-12-01

NASA's Earth Science Disasters Program promotes the use of Earth observations to improve the prediction of, preparation for, response to, and recovery from natural and technological disasters. NASA Earth observations and those of domestic and international partners are combined with in situ observations and models by NASA scientists and partners to develop products supporting disaster mitigation, response, and recovery activities among several end-user partners. These products are accompanied by training to ensure proper integration and use of these materials in their organizations. Many products are integrated along with other observations available from other sources in GIS-capable formats to improve situational awareness and response efforts before, during and after a disaster. Large volumes of NASA observations support the generation of disaster response products by NASA field center scientists, partners in academia, and other institutions. For example, a prediction of high streamflows and inundation from a NASA-supported model may provide spatial detail of flood extent that can be combined with GIS information on population density, infrastructure, and land value to facilitate a prediction of who will be affected, and the economic impact. To facilitate the sharing of these outputs in a common framework that can be easily ingested by downstream partners, the NASA Earth Science Disasters Program partnered with Esri and the NASA Center for Climate Simulation (NCCS) to establish a suite of Esri/ArcGIS services to support the dissemination of routine and event-specific products to end users. This capability has been demonstrated to key partners including the Federal Emergency Management Agency using a case-study example of Hurricane Matthew, and will also help to support future domestic and international disaster events. The Earth Science Disasters Program has also established a longer-term vision to leverage scientists' expertise in the development and delivery of end-user training, increase public awareness of NASA's Disasters Program, and facilitate new partnerships with disaster response organizations. Future research and development will foster generation of products that leverage NASA's Earth observations for disaster prediction, preparation and mitigation, response, and recovery.

Utah FORGE Gravity Data Shapefile

DOE Data Explorer

Joe Moore

2016-03-13

This is a zipped GIS compatible shapefile of gravity data points used in the Milford, Utah FORGE project as of March 21st, 2016. The shapefile is native to ArcGIS, but can be used with many GIS software packages. Additionally, there is a .dbf (dBase) file that contains the dataset which can be read with Microsoft Excel. The Data was downloaded from the PACES (Pan American Center for Earth and Environmental Studies) hosted by University of Texas El Paso (http://research.utep.edu/Default.aspx?alias=research.utep.edu/paces) Explanation:Source: data source code if available LatNAD83: latitude in NAD83 [decimal degrees] LonNAD83: longitude in NAD83 [decimal degrees]zWGS84: elevation in WGS84 (ellipsoidal) [m]OBSless976: observed gravity minus 976000 mGalIZTC: inner zone terrain correction [mGal]OZTC: outer zone terrain correction [mGal]FA: Free Air anomaly value [mGal]CBGA: Complete Bouguer gravity anomaly value [mGal

Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

DOE Data Explorer

Teresa E. Jordan

2015-09-30

This submission contains information used to compute the risk factors for the GPFA-AB project (DE-EE0006726). The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking the product, sum, and minimum of the four risk factors. The files are divided into images, rasters, shapefiles, and supporting information. The image files show what the raster and shapefiles should look like. The raster files contain the input risk factors, calculation of the scaled risk factors, and calculation of the combined risk factors. The shapefiles include definition of the fairways, definition of the US Census Places, the center of the raster cells, and locations of industries. Supporting information contains details of the calculations or processing used in generating the files. An image of the raster will have the same name except *.png as the file ending instead of *.tif. Images with “fairways” or “industries” added to the name are composed of a raster with the relevant shapefile added. The file About_GPFA-AB_Phase1RiskAnalysisTask5DataUpload.pdf contains information the citation, special use considerations, authorship, etc. More details on each file are given in the spreadsheet “list_of_contents.csv” in the folder “SupportingInfo”. Code used to calculate values is available at https://github.com/calvinwhealton/geothermal_pfa under the folder “combining_metrics”.

GPFA-AB_Phase1RiskAnalysisTask5DataUpload

DOE Data Explorer

Teresa E. Jordan

2015-09-30

This submission contains information used to compute the risk factors for the GPFA-AB project (DE-EE0006726). The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking the product, sum, and minimum of the four risk factors. The files are divided into images, rasters, shapefiles, and supporting information. The image files show what the raster and shapefiles should look like. The raster files contain the input risk factors, calculation of the scaled risk factors, and calculation of the combined risk factors. The shapefiles include definition of the fairways, definition of the US Census Places, the center of the raster cells, and locations of industries. Supporting information contains details of the calculations or processing used in generating the files. An image of the raster will have the same name except *.png as the file ending instead of *.tif. Images with “fairways” or “industries” added to the name are composed of a raster with the relevant shapefile added. The file About_GPFA-AB_Phase1RiskAnalysisTask5DataUpload.pdf contains information the citation, special use considerations, authorship, etc. More details on each file are given in the spreadsheet “list_of_contents.csv” in the folder “SupportingInfo”. Code used to calculate values is available at https://github.com/calvinwhealton/geothermal_pfa under the folder “combining_metrics”.

Application of real-time cooperative editing in urban planning management system

NASA Astrophysics Data System (ADS)

Jing, Changfeng; Liu, Renyi; Liu, Nan; Bao, Weizheng

2007-06-01

With the increasing of business requirement of urban planning bureau, co-edit function is needed urgently, however conventional GIS are not support this. In order to overcome this limitation, a new kind urban 1planning management system with co-edit function is needed. Such a system called PM2006 has been used in Suzhou Urban Planning Bureau. PM2006 is introduced in this paper. In this paper, four main issues of Co-edit system--consistency, responsiveness time, data recoverability and unconstrained operation--were discussed. And for these four questions, resolutions were put forward in paper. To resolve these problems of co-edit GIS system, a data model called FGDB (File and ESRI GeoDatabase) that is mixture architecture of File and ESRI Geodatabase was introduced here. The main components of FGDB data model are ESRI versioned Geodatabase and replicated architecture. With FGDB, client responsiveness, spatial data recoverability and unconstrained operation were overcome. In last of paper, MapServer, the co-edit map server module, is presented. Main functions of MapServer are operation serialization and spatial data replication between file and versioned data.

Heat Flow Contours and Well Data Around the Milford FORGE Site

DOE Data Explorer

Joe Moore

2016-03-09

This submission contains a shapefile of heat flow contour lines around the FORGE site located in Milford, Utah. The model was interpolated from data points in the Milford_wells shapefile. This heat flow model was interpolated from 66 data points using the kriging method in Geostatistical Analyst tool of ArcGIS. The resulting model was smoothed 100%. The well dataset contains 59 wells from various sources, with lat/long coordinates, temperature, quality, basement depth, and heat flow. This data was used to make models of the specific characteristics.

Development of web-GIS system for analysis of georeferenced geophysical data

NASA Astrophysics Data System (ADS)

Okladnikov, I.; Gordov, E. P.; Titov, A. G.; Bogomolov, V. Y.; Genina, E.; Martynova, Y.; Shulgina, T. M.

2012-12-01

Georeferenced datasets (meteorological databases, modeling and reanalysis results, remote sensing products, etc.) are currently actively used in numerous applications including modeling, interpretation and forecast of climatic and ecosystem changes for various spatial and temporal scales. Due to inherent heterogeneity of environmental datasets as well as their huge size which might constitute up to tens terabytes for a single dataset at present studies in the area of climate and environmental change require a special software support. A dedicated web-GIS information-computational system for analysis of georeferenced climatological and meteorological data has been created. The information-computational system consists of 4 basic parts: computational kernel developed using GNU Data Language (GDL), a set of PHP-controllers run within specialized web-portal, JavaScript class libraries for development of typical components of web mapping application graphical user interface (GUI) based on AJAX technology, and an archive of geophysical datasets. Computational kernel comprises of a number of dedicated modules for querying and extraction of data, mathematical and statistical data analysis, visualization, and preparing output files in geoTIFF and netCDF format containing processing results. Specialized web-portal consists of a web-server Apache, complying OGC standards Geoserver software which is used as a base for presenting cartographical information over the Web, and a set of PHP-controllers implementing web-mapping application logic and governing computational kernel. JavaScript libraries aiming at graphical user interface development are based on GeoExt library combining ExtJS Framework and OpenLayers software. The archive of geophysical data consists of a number of structured environmental datasets represented by data files in netCDF, HDF, GRIB, ESRI Shapefile formats. For processing by the system are available: two editions of NCEP/NCAR Reanalysis, JMA/CRIEPI JRA-25 Reanalysis, ECMWF ERA-40 Reanalysis, ECMWF ERA Interim Reanalysis, MRI/JMA APHRODITE's Water Resources Project Reanalysis, DWD Global Precipitation Climatology Centre's data, GMAO Modern Era-Retrospective analysis for Research and Applications, meteorological observational data for the territory of the former USSR for the 20th century, results of modeling by global and regional climatological models, and others. The system is already involved into a scientific research process. Particularly, recently the system was successfully used for analysis of Siberia climate changes and its impact in the region. The Web-GIS information-computational system for geophysical data analysis provides specialists involved into multidisciplinary research projects with reliable and practical instruments for complex analysis of climate and ecosystems changes on global and regional scales. Using it even unskilled user without specific knowledge can perform computational processing and visualization of large meteorological, climatological and satellite monitoring datasets through unified web-interface in a common graphical web-browser. This work is partially supported by the Ministry of education and science of the Russian Federation (contract #07.514.114044), projects IV.31.1.5, IV.31.2.7, RFBR grants #10-07-00547a, #11-05-01190a, and integrated project SB RAS #131.

Tidal wetlands of the Yaquina and Alsea River estuaries, Oregon: Geographic Information Systems layer development and recommendations for National Wetlands Inventory revisions

USGS Publications Warehouse

Brophy, Laura S.; Reusser, Deborah A.; Janousek, Christopher N.

2013-01-01

Geographic Information Systems (GIS) layers of current, and likely former, tidal wetlands in two Oregon estuaries were generated by enhancing the 2010 National Wetlands Inventory (NWI) data with expert local field knowledge, Light Detection and Ranging-derived elevations, and 2009 aerial orthophotographs. Data were generated for two purposes: First, to enhance the NWI by recommending revised Cowardin classifications for certain NWI wetlands within the study area; and second, to generate GIS data for the 1999 Yaquina and Alsea River Basins Estuarine Wetland Site Prioritization study. Two sets of GIS products were generated: (1) enhanced NWI shapefiles; and (2) shapefiles of prioritization sites. The enhanced NWI shapefiles contain recommended changes to the Cowardin classification (system, subsystem, class, and/or modifiers) for 286 NWI polygons in the Yaquina estuary (1,133 acres) and 83 NWI polygons in the Alsea estuary (322 acres). These enhanced NWI shapefiles also identify likely former tidal wetlands that are classified as upland in the current NWI (64 NWI polygons totaling 441 acres in the Yaquina estuary; 16 NWI polygons totaling 51 acres in the Alsea estuary). The former tidal wetlands were identified to assist strategic planning for tidal wetland restoration. Cowardin classifications for the former tidal wetlands were not provided, because their current hydrology is complex owing to dikes, tide gates, and drainage ditches. The scope of this project did not include the field evaluation that would be needed to determine whether the former tidal wetlands are currently wetlands, and if so, determine their correct Cowardin classification. The prioritization site shapefiles contain 49 prioritization sites totaling 2,177 acres in the Yaquina estuary, and 39 prioritization sites totaling 1,045 acres in the Alsea estuary. The prioritization sites include current and former (for example, diked) tidal wetlands, and provide landscape units appropriate for basin-scale wetland restoration and conservation action planning. Several new prioritization sites (not included in the 1999 prioritization) were identified in each estuary, consisting of NWI polygons formerly classified as nontidal wetland or upland. The GIS products of this project improve the accuracy and utility of the NWI data, and provide useful tools for estuarine resource management.

Using Esri Story Map Technology to Demonstrate SERVIR Global Success Stories

NASA Astrophysics Data System (ADS)

Adams, E. C.; Flores, A.; Muench, R.; Coulter, D.; Limaye, A. S.; Irwin, D.

2016-12-01

A joint development initiative of the National Aeronautics and Space Administration (NASA) and the United States Agency for International Development (USAID), SERVIR works in partnership with leading regional organizations world-wide to help developing countries build their capacity to use information provided by Earth observing satellites and geospatial technologies for managing climate and weather risks, food security and agriculture, land use change, water resources, and natural disaster response. The SERVIR network currently includes 4 regional hubs: Eastern and Southern Africa, Hindu-Kush-Himalaya, the Lower Mekong region, and West Africa, and has completed project activities in the Mesoamerica region. SERVIR has activities in over 40 countries, has developed 70 custom tools, and has collaborated with 155 institutions to apply current state of the art science and technology to decision making. Many of these efforts have the potential to continue to influence decision-making at new institutions throughout the globe; however, engaging those stakeholders and society while maintaining a global brand identity is challenging. Esri story map technologies have allowed the SERVIR network to highlight the applications of SERVIR projects. Conventional communication approaches have been used in SERVIR to share success stories of our geospatial projects; however, the power of Esri story telling offers a great opportunity to convey effectively the impacts of the geospatial solutions provided through SERVIR to end users. This paper will present use cases of how Esri story map technologies are being used across the SERVIR network to effectively communicate science to SERVIR users and general public. The easy to use design templates and interactive user interface are ideal for highlighting SERVIR's diverse products. In addition, the SERVIR team hopes to continue using story maps for project outreach and user engagement.

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.

Creating Interactive Graphical Overlays in the Advanced Weather Interactive Processing System (AWIPS) Using Shapefiles and DGM Files

NASA Technical Reports Server (NTRS)

Barrett, Joe H., III; Lafosse, Richard; Hood, Doris; Hoeth, Brian

2007-01-01

Graphical overlays can be created in real-time in the Advanced Weather Interactive Processing System (AWIPS) using shapefiles or DARE Graphics Metafile (DGM) files. This presentation describes how to create graphical overlays on-the-fly for AWIPS, by using two examples of AWIPS applications that were created by the Applied Meteorology Unit (AMU). The first example is the Anvil Threat Corridor Forecast Tool, which produces a shapefile that depicts a graphical threat corridor of the forecast movement of thunderstorm anvil clouds, based on the observed or forecast upper-level winds. This tool is used by the Spaceflight Meteorology Group (SMG) and 45th Weather Squadron (45 WS) to analyze the threat of natural or space vehicle-triggered lightning over a location. The second example is a launch and landing trajectory tool that produces a DGM file that plots the ground track of space vehicles during launch or landing. The trajectory tool can be used by SMG and the 45 WS forecasters to analyze weather radar imagery along a launch or landing trajectory. Advantages of both file types will be listed.

Geocoding health data with Geographic Information Systems: a pilot study in northeast Italy for developing a standardized data-acquiring format.

PubMed

Baldovin, T; Zangrando, D; Casale, P; Ferrarese, F; Bertoncello, C; Buja, A; Marcolongo, A; Baldo, V

2015-08-05

Geographic Information Systems (GIS) have become an innovative and somewhat crucial tool for analyzing relationships between public health data and environment. This study, though focusing on a Local Health Unit of northeastern Italy, could be taken as a benchmark for developing a standardized national data-acquiring format, providing a step-by-step instructions on the manipulation of address elements specific for Italian language and traditions. Geocoding analysis was carried out on a health database comprising 268,517 records of the Local Health Unit of Rovigo in the Veneto region, covering a period of 10 years, starting from 2001 up to 2010. The Map Service provided by the Environmental Research System Institute (ESRI, Redlands, CA), and ArcMap 10.0 by ESRI(®) were, respectively, the reference data and the GIS software, employed in the geocoding process. The first attempt of geocoding produced a poor quality result, having about 40% of the addresses matched. A procedure of manual standardization was performed in order to enhance the quality of the results, consequently a set of guiding principle were expounded which should be pursued for geocoding health data. High-level geocoding detail will provide a more precise geographic representation of health related events. The main achievement of this study was to outline some of the difficulties encountered during the geocoding of health data and to put forward a set of guidelines, which could be useful to facilitate the process and enhance the quality of the results. Public health informatics represents an emerging specialty that highlights on the application of information science and technology to public health practice and research. Therefore, this study could draw the attention of the National Health Service to the underestimated problem of geocoding accuracy in health related data for environmental risk assessment. © Copyright by Pacini Editore SpA, Pisa, Italy.

Spatial database for a global assessment of undiscovered copper resources: Chapter Z in Global mineral resource assessment

USGS Publications Warehouse

Dicken, Connie L.; Dunlap, Pamela; Parks, Heather L.; Hammarstrom, Jane M.; Zientek, Michael L.; Zientek, Michael L.; Hammarstrom, Jane M.; Johnson, Kathleen M.

2016-07-13

As part of the first-ever U.S. Geological Survey global assessment of undiscovered copper resources, data common to several regional spatial databases published by the U.S. Geological Survey, including one report from Finland and one from Greenland, were standardized, updated, and compiled into a global copper resource database. This integrated collection of spatial databases provides location, geologic and mineral resource data, and source references for deposits, significant prospects, and areas permissive for undiscovered deposits of both porphyry copper and sediment-hosted copper. The copper resource database allows for efficient modeling on a global scale in a geographic information system (GIS) and is provided in an Esri ArcGIS file geodatabase format.

Updating road databases from shape-files using aerial images

NASA Astrophysics Data System (ADS)

Häufel, Gisela; Bulatov, Dimitri; Pohl, Melanie

2015-10-01

Road databases are an important part of geo data infrastructure. The knowledge about their characteristics and course is essential for urban planning, navigation or evacuation tasks. Starting from OpenStreetMap (OSM) shape-file data for street networks, we introduce an algorithm to enrich these available road maps by new maps which are based on other airborne sensor technology. In our case, these are results of our context-based urban terrain reconstruction process. We wish to enhance the use of road databases by computing additional junctions, narrow passages and other items which may emerge due to changes in the terrain. This is relevant for various military and civil applications.

Recharge Data for Hawaii Island

DOE Data Explorer

Nicole Lautze

2015-01-01

Recharge data for Hawaii Island in shapefile format. The data are from the following sources: Whittier, R.B and A.I. El-Kadi. 2014. Human Health and Environmental Risk Ranking of On-Site Sewage Disposal systems for the Hawaiian Islands of Kauai, Molokai, Maui, and Hawaii – Final, Prepared for Hawaii Dept. of Health, Safe Drinking Water Branch by the University of Hawaii, Dept. of Geology and Geophysics. Oki, D. S. 1999. Geohydrology and Numerical Simulation of the Ground-Water Flow System of Kona, Island of Hawaii. U.S. Water-Resources Investigation Report: 99-4073. Oki, D. S. 2002. Reassessment of Ground-water Recharge and Simulated Ground-Water Availability for the Hawi Area of North Kohala, Hawaii. U.S. Geological Survey Water-Resources Investigation report 02-4006.

Oregon OCS seafloor mapping: Selected lease blocks relevant to renewable energy

USGS Publications Warehouse

Cochrane, Guy R.; Hemery, Lenaïg G.; Henkel, Sarah K.

2017-05-23

In 2014 the U.S. Geological Survey (USGS) and the Bureau of Ocean Energy Management (BOEM) entered into Intra-agency agreement M13PG00037 to map an area of the Oregon Outer Continental Shelf (OCS) off of Coos Bay, Oregon, under consideration for development of a floating wind energy farm. The BOEM requires seafloor mapping and site characterization studies in order to evaluate the impact of seafloor and sub-seafloor conditions on the installation, operation, and structural integrity of proposed renewable energy projects, as well as to assess the potential effects of construction and operations on archaeological resources. The mission of the USGS is to provide geologic, topographic, and hydrologic information that contributes to the wise management of the Nation's natural resources and that promotes the health, safety, and well being of the people. This information consists of maps, databases, and descriptions and analyses of the water, energy, and mineral resources, land surface, underlying geologic structure, and dynamic processes of the earth.For the Oregon OCS study, the USGS acquired multibeam echo sounder and seafloor video data surrounding the proposed development site, which is 95 km2 in area and 15 miles offshore from Coos Bay. The development site had been surveyed by Solmar Hydro Inc. in 2013 under a contract with WindFloat Pacific. The USGS subsequently produced a bathymetry digital elevation model and a backscatter intensity grid that were merged with existing data collected by the contractor. The merged grids were published along with visual observations of benthic geo-habitat from the video data in an associated USGS data release (Cochrane and others, 2015).This report includes the results of analysis of the video data conducted by Oregon State University and the geo-habitat interpretation of the multibeam echo sounder (MBES) data conducted by the USGS. MBES data was published in Cochrane and others (2015). Interpretive data associated with this publication is published in Cochrane (2017). All the data is provided as geographic information system (GIS) files that contain both Esri ArcGIS geotiffs or shapefiles. For those who do not own the full suite of Esri GIS and mapping software, the data can be read using Esri ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed August 29, 2016). Web services, which consist of standard implementations of ArcGIS representational state transfer (REST) Service and Open Geospatial Consortium (OGC) GIS web map service (WMS), also are available for all published GIS data. Web services were created using an ArcGIS service definition file, resulting in data layers that are symbolized as shown on the associated report figures. Both the ArcGIS REST Service and OGC WMS Service include all the individual GIS layers. Data layers are bundled together in a map-area web service; however, each layer can be symbolized and accessed individually after the web service is ingested into a desktop application or web map. Web services enable users to download and view data, as well as to easily add data to their own workflows, using any browser-enabled, standalone or mobile device.Though the surficial substrate is dominated by combinations of mud and sand substrate, a diverse assortment of geomorphologic features are related to geologic processes—one anticlinal ridge where bedrock is exposed, a slump and associated scarps, and pockmarks. Pockmarks are seen in the form of fields of small pockmarks, a lineation of large pockmarks with methanogenic carbonates, and areas of large pockmarks that have merged into larger variously shaped depressions. The slump appears to have originated at the pockmark lineation. Video-supervised numerical analysis of the MBES backscatter intensity data and vector ruggedness derived from the MBES bathymetry data was used to produce a substrate model called a seafloor character raster for the study area. The seafloor character raster consists of three substrate classes: soft-flat areas, hard-flat areas, and hard-rugged areas. A Coastal and Marine Ecological Classification Standard (CMECS) geoform and substrate map was also produced using depth, slope, and benthic position index classes to delineate geoform boundaries. Seven geoforms were identified in this process, including ridges, slump scars, slump deposits, basins, and pockmarks.Statistical analysis of the video data for correlations between substrate, depth, and invertebrate assemblages resulted in the identification of seven biomes: three hard-bottom biomes and four softbottom biomes. A similar analysis of vertebrate observations produces a similar set of biomes. The biome between-group dissimilarity was very high or high. Invertebrates alone represent most of the structure of the whole benthic community into different assemblages. A biotope map was generated using the seafloor character raster and the substrate and depth values of the biomes. Hard substrate biotopes were small in size and were located primarily on the ridge and in pockmarks along the pockmark lineation. The soft-bottom bitopes consisted of large contiguous areas delimited by isobaths.

Pattern-based, multi-scale segmentation and regionalization of EOSD land cover

NASA Astrophysics Data System (ADS)

Niesterowicz, Jacek; Stepinski, Tomasz F.

2017-10-01

The Earth Observation for Sustainable Development of Forests (EOSD) map is a 25 m resolution thematic map of Canadian forests. Because of its large spatial extent and relatively high resolution the EOSD is difficult to analyze using standard GIS methods. In this paper we propose multi-scale segmentation and regionalization of EOSD as new methods for analyzing EOSD on large spatial scales. Segments, which we refer to as forest land units (FLUs), are delineated as tracts of forest characterized by cohesive patterns of EOSD categories; we delineated from 727 to 91,885 FLUs within the spatial extent of EOSD depending on the selected scale of a pattern. Pattern of EOSD's categories within each FLU is described by 1037 landscape metrics. A shapefile containing boundaries of all FLUs together with an attribute table listing landscape metrics make up an SQL-searchable spatial database providing detailed information on composition and pattern of land cover types in Canadian forest. Shapefile format and extensive attribute table pertaining to the entire legend of EOSD are designed to facilitate broad range of investigations in which assessment of composition and pattern of forest over large areas is needed. We calculated four such databases using different spatial scales of pattern. We illustrate the use of FLU database for producing forest regionalization maps of two Canadian provinces, Quebec and Ontario. Such maps capture the broad scale variability of forest at the spatial scale of the entire province. We also demonstrate how FLU database can be used to map variability of landscape metrics, and thus the character of landscape, over the entire Canada.

ESMPy and OpenClimateGIS: Python Interfaces for High Performance Grid Remapping and Geospatial Dataset Manipulation

NASA Astrophysics Data System (ADS)

O'Kuinghttons, Ryan; Koziol, Benjamin; Oehmke, Robert; DeLuca, Cecelia; Theurich, Gerhard; Li, Peggy; Jacob, Joseph

2016-04-01

The Earth System Modeling Framework (ESMF) Python interface (ESMPy) supports analysis and visualization in Earth system modeling codes by providing access to a variety of tools for data manipulation. ESMPy started as a Python interface to the ESMF grid remapping package, which provides mature and robust high-performance and scalable grid remapping between 2D and 3D logically rectangular and unstructured grids and sets of unconnected data. ESMPy now also interfaces with OpenClimateGIS (OCGIS), a package that performs subsetting, reformatting, and computational operations on climate datasets. ESMPy exposes a subset of ESMF grid remapping utilities. This includes bilinear, finite element patch recovery, first-order conservative, and nearest neighbor grid remapping methods. There are also options to ignore unmapped destination points, mask points on source and destination grids, and provide grid structure in the polar regions. Grid remapping on the sphere takes place in 3D Cartesian space, so the pole problem is not an issue as it can be with other grid remapping software. Remapping can be done between any combination of 2D and 3D logically rectangular and unstructured grids with overlapping domains. Grid pairs where one side of the regridding is represented by an appropriate set of unconnected data points, as is commonly found with observational data streams, is also supported. There is a developing interoperability layer between ESMPy and OpenClimateGIS (OCGIS). OCGIS is a pure Python, open source package designed for geospatial manipulation, subsetting, and computation on climate datasets stored in local NetCDF files or accessible remotely via the OPeNDAP protocol. Interfacing with OCGIS has brought GIS-like functionality to ESMPy (i.e. subsetting, coordinate transformations) as well as additional file output formats (i.e. CSV, ESRI Shapefile). ESMPy is distinguished by its strong emphasis on open source, community governance, and distributed development. The user base has grown quickly, and the package is integrating with several other software tools and frameworks. These include the Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT), Iris, PyFerret, cfpython, and the Community Surface Dynamics Modeling System (CSDMS). ESMPy minimum requirements include Python 2.6, Numpy 1.6.1 and an ESMF installation. Optional dependencies include NetCDF and OCGIS-related dependencies: GDAL, Shapely, and Fiona. ESMPy is regression tested nightly, and supported on Darwin, Linux and Cray systems with the GNU compiler suite and MPI communications. OCGIS is supported on Linux, and also undergoes nightly regression testing. Both packages are installable from Anaconda channels. Upcoming development plans for ESMPy involve development of a higher order conservative grid remapping method. Future OCGIS development will focus on mesh and location stream interoperability and streamlined access to ESMPy's MPI implementation.

Geosciences Information Network (GIN): A modular, distributed, interoperable data network for the geosciences

NASA Astrophysics Data System (ADS)

Allison, M.; Gundersen, L. C.; Richard, S. M.; Dickinson, T. L.

2008-12-01

A coalition of the state geological surveys (AASG), the U.S. Geological Survey (USGS), and partners will receive NSF funding over 3 years under the INTEROP solicitation to start building the Geoscience Information Network (www.geoinformatics.info/gin) a distributed, interoperable data network. The GIN project will develop standardized services to link existing and in-progress components using a few standards and protocols, and work with data providers to implement these services. The key components of this network are 1) catalog system(s) for data discovery; 2) service definitions for interfaces for searching catalogs and accessing resources; 3) shared interchange formats to encode information for transmission (e.g. various XML markup languages); 4) data providers that publish information using standardized services defined by the network; and 5) client applications adapted to use information resources provided by the network. The GIN will integrate and use catalog resources that currently exist or are in development. We are working with the USGS National Geologic Map Database's existing map catalog, with the USGS National Geological and Geophysical Data Preservation Program, which is developing a metadata catalog (National Digital Catalog) for geoscience information resource discovery, and with the GEON catalog. Existing interchange formats will be used, such as GeoSciML, ChemML, and Open Geospatial Consortium sensor, observation and measurement MLs. Client application development will be fostered by collaboration with industry and academic partners. The GIN project will focus on the remaining aspects of the system -- service definitions and assistance to data providers to implement the services and bring content online - and on system integration of the modules. Initial formal collaborators include the OneGeology-Europe consortium of 27 nations that is building a comparable network under the EU INSPIRE initiative, GEON, Earthchem, and GIS software company ESRI. OneGeology-Europe and GIN have agreed to integrate their networks, effectively adopting global standards among geological surveys that are available across the entire field. ESRI is creating a Geology Data Model for ArcGIS software to be compatible with GIN, and other companies are expressing interest in adapting their services, applications, and clients to take advantage of the large data resources planned to become available through GIN.

Investigating the capabilities of semantic enrichment of 3D CityEngine data

NASA Astrophysics Data System (ADS)

Solou, Dimitra; Dimopoulou, Efi

2016-08-01

In recent years the development of technology and the lifting of several technical limitations, has brought the third dimension to the fore. The complexity of urban environments and the strong need for land administration, intensify the need of using a three-dimensional cadastral system. Despite the progress in the field of geographic information systems and 3D modeling techniques, there is no fully digital 3D cadastre. The existing geographic information systems and the different methods of three-dimensional modeling allow for better management, visualization and dissemination of information. Nevertheless, these opportunities cannot be totally exploited because of deficiencies in standardization and interoperability in these systems. Within this context, CityGML was developed as an international standard of the Open Geospatial Consortium (OGC) for 3D city models' representation and exchange. CityGML defines geometry and topology for city modeling, also focusing on semantic aspects of 3D city information. The scope of CityGML is to reach common terminology, also addressing the imperative need for interoperability and data integration, taking into account the number of available geographic information systems and modeling techniques. The aim of this paper is to develop an application for managing semantic information of a model generated based on procedural modeling. The model was initially implemented in CityEngine ESRI's software, and then imported to ArcGIS environment. Final goal was the original model's semantic enrichment and then its conversion to CityGML format. Semantic information management and interoperability seemed to be feasible by the use of the 3DCities Project ESRI tools, since its database structure ensures adding semantic information to the CityEngine model and therefore automatically convert to CityGML for advanced analysis and visualization in different application areas.

Geographic information system (GIS) representation of coal-bearing areas in India and Bangladesh

USGS Publications Warehouse

Trippi, Michael H.; Tewalt, Susan J.

2011-01-01

Geographic information system (GIS) information may facilitate energy studies, which in turn provide input for energy policy decisions. Prior to this study, no GIS file representing the occurrence of coal-bearing units in India or Bangladesh was known to exist. This Open-File Report contains downloadable shapefiles representing the coalfields of India and Bangladesh and a limited number of chemical and petrographic analyses of India and Bangladesh coal samples. Also included are maps of India and Bangladesh showing the locations of the coalfields and coal samples in the shapefiles, figures summarizing the stratigraphic units in the coalfields of India and Bangladesh, and a brief report summarizing the stratigraphy and geographic locations of coal-bearing deposits in India and Bangladesh.

Global Imagery Browse Services (GIBS) - Rapidly Serving NASA Imagery for Applications and Science Users

NASA Astrophysics Data System (ADS)

Schmaltz, J. E.; Ilavajhala, S.; Plesea, L.; Hall, J. R.; Boller, R. A.; Chang, G.; Sadaqathullah, S.; Kim, R.; Murphy, K. J.; Thompson, C. K.

2012-12-01

Expedited processing of imagery from NASA satellites for near-real time use by non-science applications users has a long history, especially since the beginning of the Terra and Aqua missions. Several years ago, the Land Atmosphere Near-real-time Capability for EOS (LANCE) was created to greatly expand the range of near-real time data products from a variety of Earth Observing System (EOS) instruments. NASA's Earth Observing System Data and Information System (EOSDIS) began exploring methods to distribute these data as imagery in an intuitive, geo-referenced format, which would be available within three hours of acquisition. Toward this end, EOSDIS has developed the Global Imagery Browse Services (GIBS, http://earthdata.nasa.gov/gibs) to provide highly responsive, scalable, and expandable imagery services. The baseline technology chosen for GIBS was a Tiled Web Mapping Service (TWMS) developed at the Jet Propulsion Laboratory. Using this, global images and mosaics are divided into tiles with fixed bounding boxes for a pyramid of fixed resolutions. Initially, the satellite imagery is created at the existing data systems for each sensor, ensuring the oversight of those most knowledgeable about the science. There, the satellite data is geolocated and converted to an image format such as JPEG, TIFF, or PNG. The GIBS ingest server retrieves imagery from the various data systems and converts them into image tiles, which are stored in a highly-optimized raster format named Meta Raster Format (MRF). The image tiles are then served to users via HTTP by means of an Apache module. Services are available for the entire globe (lat-long projection) and for both polar regions (polar stereographic projection). Requests to the services can be made with the non-standard, but widely known, TWMS format or via the well-known OGC Web Map Tile Service (WMTS) standard format. Standard OGC Web Map Service (WMS) access to the GIBS server is also available. In addition, users may request a KML pyramid. This variety of access methods allows stakeholders to develop visualization/browse clients for a diverse variety of specific audiences. Currently, EOSDIS is providing an OpenLayers web client, Worldview (http://earthdata.nasa.gov/worldview), as an interface to GIBS. A variety of other existing clients can also be developed using such tools as Google Earth, Google Earth browser Plugin, ESRI's Adobe Flash/Flex Client Library, NASA World Wind, Perceptive Pixel Client, Esri's iOS Client Library, and OpenLayers for Mobile. The imagery browse capabilities from GIBS can be combined with other EOSDIS services (i.e. ECHO OpenSearch) via a client that ties them both together to provide an interface that enables data download from the onscreen imagery. Future plans for GIBS include providing imagery based on science quality data from the entire data record of these EOS instruments.

Bedrock Geologic Map of New Hampshire, a Digital Representation of Lyons and Others 1997 Map and Ancillary Files

USGS Publications Warehouse

Bennett, Derek S.; Lyons, John B.; Wittkop, Chad A.; Dicken, Connie L.

2006-01-01

The New Hampshire Geological Survey collects data and performs research on the land, mineral, and water resources of the State, and disseminates the findings of such research to the public through maps, reports, and other publications. The Bedrock Geologic Map of New Hampshire, by John B. Lyons, Wallace A. Bothner, Robert H. Moench, and James B. Thompson, was published in paper format by the U.S. Geological Survey (USGS) in 1997. The online version of this CD contains digital datasets of the State map that are intended to assist the professional geologist, land-use planners, water resource professionals, and engineers and to inform the interested layperson. In addition to the bedrock geology, the datasets include geopolitical and hydrologic information, such as political boundaries, quadrangle boundaries, hydrologic units, and water-well data. A more thorough explanation for each of these datasets may be found in the accompanying metadata files. The data are spatially referenced and may be used in a geographic information system (GIS). ArcExplorer, the Environmental Systems Research Institute's (ESRI) free GIS data viewer, is available at http://www.esri.com/software/arcexplorer. ArcExplorer provides basic functions that are needed to harness the power and versatility of the spatial datasets. Additional information on the viewer and other ESRI products may be found on the ArcExplorer website. Although extensive review and revisions of the data have been performed by the USGS and the New Hampshire Geological Survey, these data represent interpretations made by professional geologists using the best available data, and are intended to provide general geologic information. Use of these data at scales larger than 1:250,000 will not provide greater accuracy. The data are not intended to replace site-specific or specific-use investigations. The U.S. Geological Survey, New Hampshire Geological Survey, and State of New Hampshire make no representation or warranty, expressed or implied, regarding the use, accuracy, or completeness of the data presented herein, or from a map printed from these data; nor shall the act of distribution constitute any such warranty. The New Hampshire Geological Survey disclaims any legal responsibility or liability for interpretations made from the map, or decisions based thereon. For more information on New Hampshire Geological Survey programs please visit the State's website at http://des.nh.gov/Geology/. New Hampshire Geographically Referenced Analysis and Information Transfer System (NH GRANIT) provides access to statewide GIS (http://www.granit.unh.edu/). Questions about this CD or about other datasets should be directed to the New Hampshire Department of Environmental Services.

Digital Seismic-Reflection Data from Eastern Rhode Island Sound and Vicinity, 1975-1980

USGS Publications Warehouse

McMullen, K.Y.; Poppe, L.J.; Soderberg, N.K.

2009-01-01

During 1975 and 1980, the U.S. Geological Survey (USGS) conducted two seismic-reflection surveys in Rhode Island Sound (RIS) aboard the research vessel Asterias: cruise ASTR75-June surveyed eastern RIS in 1975 and cruise AST-80-6B surveyed southern RIS in 1980. Data from these surveys were recorded in analog form and archived at the USGS Woods Hole Coastal and Marine Science Center's Data Library. In response to recent interest in the geology of RIS and in an effort to make the data more readily accessible while preserving the original paper records, the seismic data from these cruises were scanned and converted to black and white Tagged Image File Format and grayscale Portable Network Graphics images and SEG-Y data files. Navigation data were converted from U.S. Coast Guard Long Range Aids to Navigation time delays to latitudes and longitudes that are available in Environmental Systems Research Institute, Inc., shapefile format and as eastings and northings in space-delimited text format. This report complements two others that contain analog seismic-reflection data from RIS (McMullen and others, 2009) and Long Island and Block Island Sounds (Poppe and others, 2002) and were converted into digital form.

Incremental terrain processing for large digital elevation models

NASA Astrophysics Data System (ADS)

Ye, Z.

2012-12-01

Incremental terrain processing for large digital elevation models Zichuan Ye, Dean Djokic, Lori Armstrong Esri, 380 New York Street, Redlands, CA 92373, USA (E-mail: zye@esri.com, ddjokic@esri.com , larmstrong@esri.com) Efficient analyses of large digital elevation models (DEM) require generation of additional DEM artifacts such as flow direction, flow accumulation and other DEM derivatives. When the DEMs to analyze have a large number of grid cells (usually > 1,000,000,000) the generation of these DEM derivatives is either impractical (it takes too long) or impossible (software is incapable of processing such a large number of cells). Different strategies and algorithms can be put in place to alleviate this situation. This paper describes an approach where the overall DEM is partitioned in smaller processing units that can be efficiently processed. The processed DEM derivatives for each partition can then be either mosaicked back into a single large entity or managed on partition level. For dendritic terrain morphologies, the way in which partitions are to be derived and the order in which they are to be processed depend on the river and catchment patterns. These patterns are not available until flow pattern of the whole region is created, which in turn cannot be established upfront due to the size issues. This paper describes a procedure that solves this problem: (1) Resample the original large DEM grid so that the total number of cells is reduced to a level for which the drainage pattern can be established. (2) Run standard terrain preprocessing operations on the resampled DEM to generate the river and catchment system. (3) Define the processing units and their processing order based on the river and catchment system created in step (2). (4) Based on the processing order, apply the analysis, i.e., flow accumulation operation to each of the processing units, at the full resolution DEM. (5) As each processing unit is processed based on the processing order defined in (3), compare the resulting drainage pattern with the drainage pattern established at the coarser scale and adjust the drainage boundaries and rivers if necessary.

GRIDGEN Version 1.0: a computer program for generating unstructured finite-volume grids

USGS Publications Warehouse

Lien, Jyh-Ming; Liu, Gaisheng; Langevin, Christian D.

2015-01-01

GRIDGEN is a computer program for creating layered quadtree grids for use with numerical models, such as the MODFLOW–USG program for simulation of groundwater flow. The program begins by reading a three-dimensional base grid, which can have variable row and column widths and spatially variable cell top and bottom elevations. From this base grid, GRIDGEN will continuously divide into four any cell intersecting user-provided refinement features (points, lines, and polygons) until the desired level of refinement is reached. GRIDGEN will then smooth, or balance, the grid so that no two adjacent cells, including overlying and underlying cells, differ by more than a user-specified level tolerance. Once these gridding processes are completed, GRIDGEN saves a tree structure file so that the layered quadtree grid can be quickly reconstructed as needed. Once a tree structure file has been created, GRIDGEN can then be used to (1) export the layered quadtree grid as a shapefile, (2) export grid connectivity and cell information as ASCII text files for use with MODFLOW–USG or other numerical models, and (3) intersect the grid with shapefiles of points, lines, or polygons, and save intersection output as ASCII text files and shapefiles. The GRIDGEN program is demonstrated by creating a layered quadtree grid for the Biscayne aquifer in Miami-Dade County, Florida, using hydrologic features to control where refinement is added.

Spatial Databases of Geological, Geophysical, and Mineral Resource Data Relevant to Sandstone-Hosted Copper Deposits in Central Kazakhstan

USGS Publications Warehouse

Syusyura, Boris; Box, Stephen E.; Wallis, John C.

2010-01-01

Central Kazakhstan is host to one of the world's giant sandstone-hosted copper deposits, the Dzhezkazgan deposit, and several similar, smaller deposits. The United Stated Geological Survey (USGS) is assessing the potential for other, undiscovered deposits of this type in the surrounding region of central Kazakhstan. As part of this effort, Syusyura compiled and partially translated an array of mostly unpublished geologic, geophysical, and mineral resource data for this region in digital format from the archives of the former Union of Soviet Socialists Republics (of which Kazakhstan was one of the member republics until its dissolution in 1991), as well as from later archives of the Republic of Kazakhstan or of the Kazakhstan consulting firm Mining Economic Consulting (MEC). These digital data are primarily map-based displays of information that were transmitted either in ESRI ArcGIS, georeferenced format, or non-georeferenced map image files. Box and Wallis reviewed all the data, translated Cyrillic text where necessary, inspected the maps for consistency, georeferenced the unprojected map images, and reorganized the data into the filename and folder structure of this publication.

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, they can easily share this information with colleagues or friends via an email that includes URLs (links to web resources) and attachments (inline data). In the case of geospatial information, a user would like to share a map created from different OGC sources, which may include for example, WMS and WFS links, and GML and KML annotations. The emerging OGC file format is called the OGC Web Services Context Document (OWS Context), which allows clients to reproduce a map previously created by someone else. Context sharing is important in a variety of domains, from emergency response, where fire, police and emergency medical personnel need to work off a common map, to multi-national military operations, where coalition forces need to share common data sources, but have cartographic displays in different languages and symbology sets. OWS Contexts can be written in XML (building upon the Atom Syndication Format) or JSON. This presentation will provide an introduction of GeoPackage and OWS Context and how they can be used to advance sharing of Earth and Space Science information.

USGS compilation of geographic information system (GIS) data of coal mines and coal-bearing areas in Mongolia

USGS Publications Warehouse

Trippi, Michael H.; Belkin, Harvey E.

2015-09-10

Geographic information system (GIS) information may facilitate energy studies, which in turn provide input for energy policy decisions. The U.S. Geological Survey (USGS) has compiled GIS data representing coal mines, deposits (including those with and without coal mines), occurrences, areas, basins, and provinces of Mongolia as of 2009. These data are now available for download, and may be used in a GIS for a variety of energy resource and environmental studies of Mongolia. Chemical data for 37 coal samples from a previous USGS study of Mongolia (Tewalt and others, 2010) are included in a downloadable GIS point shapefile and shown on the map of Mongolia. A brief report summarizes the methodology used for creation of the shapefiles and the chemical analyses run on the samples.

EPA Region 7 Aquatic Focus Areas (ECO_RES.R7_AQUATIC_FOCUS_AREAS)

EPA Pesticide Factsheets

This shapefile consists of 347 individual Aquatic Ecological System (AES) polygons that are the Aquatic Conservation Focus Areas for EPA Region 7. The focus areas are those areas within each aquatic ecological system types that, if preserved, would maintain the biological and ecological diversity extant within that ecological system type. The layer consists of those polygons from the R7_AES.shp shapefile that had the highest ranks. The AES polygons in the Missouri portion of the file were appended and are those that contain the 158 aquatic conservation opportunity areas identified in Missouri as part of another project (Missouri Department of Conservation Aquatic Biodiversity Assessment 2005). Note that the identifiers in the Missouri portion of this file will not match the ID's in any Missouri specific files.

Temperature Contours around Milford FORGE site

DOE Data Explorer

Joe Moore

2016-03-09

This submission contains several ArcGIS shapefiles, each with Temperature contour lines at different depths. Subsurface temperature were important for characterizing the geothermal system beneath the FORGE site in Milford, Utah.

Bedrock geologic map of the Nashua South quadrangle, Hillsborough County, New Hampshire, and Middlesex County, Massachusetts

USGS Publications Warehouse

Walsh, Gregory J.; Jahns, Richard H.; Aleinikoff, John N.

2013-01-01

The bedrock geology of the 7.5-minute Nashua South quadrangle consists primarily of deformed Silurian metasedimentary rocks of the Berwick Formation. The metasedimentary rocks are intruded by a Late Silurian to Early Devonian diorite-gabbro suite, Devonian rocks of the Ayer Granodiorite, Devonian granitic rocks of the New Hampshire Plutonic Suite including pegmatite and the Chelmsford Granite, and Jurassic diabase dikes. The bedrock geology was mapped to study the tectonic history of the area and to provide a framework for ongoing hydrogeologic characterization of the fractured bedrock of Massachusetts and New Hampshire. This report presents mapping by G.J. Walsh and R.H. Jahns and zircon U-Pb geochronology by J.N. Aleinikoff. The complete report consists of a map, text pamphlet, and GIS database. The map and text pamphlet are only available as downloadable files (see frame at right). The GIS database is available for download in ESRITM shapefile and Google EarthTM formats, and includes contacts of bedrock geologic units, faults, outcrops, structural geologic information, photographs, and a three-dimensional model.

Presentations - Gallagher, P.E., 2015 | Alaska Division of Geological &

Science.gov Websites

Alaska (postcard): ESRI International Users Conference, San Diego, California, July 20-24, 2015 Authors International Users Conference, San Diego, California, July 20-24, 2015: Alaska Division of Geological &

Flood and Coastal Storm Damage Reduction Program. Beach-fx User’s Manual: Version 1.0

DTIC Science & Technology

2009-08-01

Shapefile Import Template Attribute Fields ............................................................. 103 Appendix B: General Description of Output...Reordering map players . ....................................................................................................... 24 Figure 20. Map display...94 Figure 68. Field calculator

R4FRS_RCRAINFO

EPA Pesticide Factsheets

To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata shapefile containing facility and site information from EPA's national program systems. The file is Internet accessible from the Envirofacts Web site (http://www.epa.gov/enviro). The data may be used with geospatial mapping applications. (Note: The shapefile omits facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the file contains a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site.

US EPA Region 4 RMP Facilities

EPA Pesticide Factsheets

To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata shapefile containing facility and site information from EPA's national program systems. The file is Internet accessible from the Envirofacts Web site (http://www.epa.gov/enviro). The data may be used with geospatial mapping applications. (Note: The shapefile omits facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the file contains a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site.

Digital geologic map and GIS database of Venezuela

USGS Publications Warehouse

Garrity, Christopher P.; Hackley, Paul C.; Urbani, Franco

2006-01-01

The digital geologic map and GIS database of Venezuela captures GIS compatible geologic and hydrologic data from the 'Geologic Shaded Relief Map of Venezuela,' which was released online as U.S. Geological Survey Open-File Report 2005-1038. Digital datasets and corresponding metadata files are stored in ESRI geodatabase format; accessible via ArcGIS 9.X. Feature classes in the geodatabase include geologic unit polygons, open water polygons, coincident geologic unit linework (contacts, faults, etc.) and non-coincident geologic unit linework (folds, drainage networks, etc.). Geologic unit polygon data were attributed for age, name, and lithologic type following the Lexico Estratigrafico de Venezuela. All digital datasets were captured from source data at 1:750,000. Although users may view and analyze data at varying scales, the authors make no guarantee as to the accuracy of the data at scales larger than 1:750,000.

Countrywide digital elevation models for the Islamic Republic of Mauritania—SRTM and ASTER (phase V, deliverable 65): Chapter F in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)

USGS Publications Warehouse

Lee, Gregory K.

2015-01-01

A digital elevation model (DEM) of the entire country of the Islamic Republic of Mauritania was produced using Shuttle Radar Topography Mission (SRTM) data as required for deliverable 65 of the contract. In addition, because of significant recent advancements of availability, seamlessness, and validity of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) global elevation data, the U.S. Geological Survey (USGS) extended its efforts to include a higher resolution countrywide ASTER DEM as value added to the required Deliverable 63, which was limited to five areas within the country. Both SRTM and ASTER countrywide DEMs have been provided in ERDAS Imagine (.img) format that is also directly compatible with ESRI ArcMap, ArcGIS Explorer, and other GIS applications.

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.

Geologic Map and GIS Data for the Wabuska Geothermal Area

DOE Data Explorer

Hinz, Nick

2013-09-30

Wabuska—ESRI geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, veins, dikes, unit polygons, and attitudes of strata. - List of stratigraphic units and stratigraphic correlation diagram. - One cross‐section.

Digital bedrock mapping at the Geological Survey of Norway: BGS SIGMA tool and in-house database structure

NASA Astrophysics Data System (ADS)

Gasser, Deta; Viola, Giulio; Bingen, Bernard

2016-04-01

Since 2010, the Geological Survey of Norway has been implementing and continuously developing a digital workflow for geological bedrock mapping in Norway, from fieldwork to final product. Our workflow is based on the ESRI ArcGIS platform, and we use rugged Windows computers in the field. Three different hardware solutions have been tested over the past 5 years (2010-2015). (1) Panasonic Toughbook CE-19 (2.3 kg), (2) Panasonic Toughbook CF H2 Field (1.6 kg) and (3) Motion MC F5t tablet (1.5 kg). For collection of point observations in the field we mainly use the SIGMA Mobile application in ESRI ArcGIS developed by the British Geological Survey, which allows the mappers to store georeferenced comments, structural measurements, sample information, photographs, sketches, log information etc. in a Microsoft Access database. The application is freely downloadable from the BGS websites. For line- and polygon work we use our in-house database, which is currently under revision. Our line database consists of three feature classes: (1) bedrock boundaries, (2) bedrock lineaments, and (3) bedrock lines, with each feature class having up to 24 different attribute fields. Our polygon database consists of one feature class with 38 attribute fields enabling to store various information concerning lithology, stratigraphic order, age, metamorphic grade and tectonic subdivision. The polygon and line databases are coupled via topology in ESRI ArcGIS, which allows us to edit them simultaneously. This approach has been applied in two large-scale 1:50 000 bedrock mapping projects, one in the Kongsberg domain of the Sveconorwegian orogen, and the other in the greater Trondheim area (Orkanger) in the Caledonian belt. The mapping projects combined collection of high-resolution geophysical data, digital acquisition of field data, and collection of geochronological, geochemical and petrological data. During the Kongsberg project, some 25000 field observation points were collected by eight geologists. For the Orkanger project, some 2100 field observation points were collected by three geologists. Several advantages of the applied digital approach became clear during these projects: (1) The systematic collection of geological field data in a common format allows easy access and exchange of data among different geologists, (2) Easier access to background information such as geophysics and DEMS in the field, (3) Faster workflow from field data collection to final map product. Obvious disadvantages include: (1) Heavy(ish) and expensive hardware, (2) Battery life and other technical issues in the field, (3) Need for a central field observation point storage inhouse (large amounts of data!), and (4) Acceptance of- and training in a common workflow from all involved geologists.

Photographs of the Sea floor Offshore of New York and New Jersey

USGS Publications Warehouse

Butman, Bradford; Gutierrez, Benjamin T.; Buchholtz ten Brink, Marilyn R.; Schwab, William S.; Blackwood, Dann S.; Mecray, Ellen L.; Middleton, Tammie J.

2003-01-01

This DVD-ROM contains photographs of the sea floor and sediment texture data collected as part of studies carried out by the U.S. Geological Survey (USGS) in the New York Bight (Figure 1a (PDF format)). The studies were designed to map the sea floor (Butman, 1998, URL: http://pubs.usgs.gov/fs/fs133-98/) and to develop an understanding of the transport and long-term fate of sediments and associated contaminants in the region (Mecray and others, 1999, URL: http://pubs.usgs.gov/fs/fs114-99/). The data were collected on four research cruises carried out between 1996 and 2000 (Appendix I). The images and texture data were collected to provide direct observations of the sea floor geology and to aid in the interpretation of backscatter intensity data obtained from sidescan sonar and multibeam surveys of the sea floor. Preliminary descriptions of the sea floor geology in this region may be found in Schwab and others (2000, URL: http://pubs.usgs.gov/of/of00-295/; 2003), Butman and others (1998, URL: http://pubs.usgs.gov/of/of98-616/.), and Butman and others (2002, URL: http://pubs.usgs.gov/of/of00-503/). Schwab and others (2000 URL: http://pubs.usgs.gov/of/of00-295/; 2003) have identified 11 geologic units in New York Bight (Figure 2 (PDF format)). These units identify areas of active sediment transport, extensive anthropogenic influence on the sea floor, and various geologic units. Butman and others (2003) and Harris and others (in press) present the results of a moored array experiment carried out in the Hudson Shelf Valley to investigate the transport of sediments during winter. Summaries of these and other studies may be found at USGS studies in the New York Bight (URL: http://woodshole.er.usgs.gov/project-pages/newyork/). This DVD-ROM contains digital images of bottom still photographs, images digitized from videos, sediment grain-size analysis results, and short QuickTime movies from video transects. The data are presented in tabular form and in an ESRI (Environmental Systems Research Institute, URL: http://www.esri.com) ArcView project where the image and sample locations may be viewed superimposed on maps showing side-scan sonar and/or multibeam backscatter intensity and bottom topography.

CONNECTICUT DEP PROPERTY

EPA Science Inventory

This is a 1:24,000-scale datalayer of property owned and maintained by the Connecticut Department of Environmental Protection. It is a polygon Shapefile that includes state fish hatcheries, flood control areas, historic preserves, natural area preserves, state forests, state par...

Publications - RDF 2015-2 | Alaska Division of Geological & Geophysical

Science.gov Websites

Tidal Datum Portal Climate and Cryosphere Hazards Coastal Hazards Program Guide to Geologic Hazards in -bay Shapefile 24.5 M Metadata - Read me Keywords Bathymetry; Bering Sea; Chukchi Sea; Coastal; Gambell

Tularosa Basin Play Fairway Analysis

DOE Data Explorer

Adam Brandt

2015-11-15

This submission contains several shapefiles used for a deterministic PFA, as well as a heat composite risk segment with union overlay, and training sites used for weights of evidence. More detailed metadata can be found in the specific file.

US EPA Region 4 Brownfields

EPA Pesticide Factsheets

To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata shapefile containing facility and site information from EPA's national program systems. The file is Internet accessible from the Envirofacts Web site (https://www3.epa.gov/enviro/). The data may be used with geospatial mapping applications. (Note: The shapefile omits facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the file contains a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site. This dataset shows Brownfields listed in the 2012 Facility Registry System.

--No Title--

Science.gov Websites

} ItemDescription Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3000 en Annual Student RPP 303-384-7278 nick.grue@nrel.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3

Data Access System for Hydrology

NASA Astrophysics Data System (ADS)

Whitenack, T.; Zaslavsky, I.; Valentine, D.; Djokic, D.

2007-12-01

As part of the CUAHSI HIS (Consortium of Universities for the Advancement of Hydrologic Science, Inc., Hydrologic Information System), the CUAHSI HIS team has developed Data Access System for Hydrology or DASH. DASH is based on commercial off the shelf technology, which has been developed in conjunction with a commercial partner, ESRI. DASH is a web-based user interface, developed in ASP.NET developed using ESRI ArcGIS Server 9.2 that represents a mapping, querying and data retrieval interface over observation and GIS databases, and web services. This is the front end application for the CUAHSI Hydrologic Information System Server. The HIS Server is a software stack that organizes observation databases, geographic data layers, data importing and management tools, and online user interfaces such as the DASH application, into a flexible multi- tier application for serving both national-level and locally-maintained observation data. The user interface of the DASH web application allows online users to query observation networks by location and attributes, selecting stations in a user-specified area where a particular variable was measured during a given time interval. Once one or more stations and variables are selected, the user can retrieve and download the observation data for further off-line analysis. The DASH application is highly configurable. The mapping interface can be configured to display map services from multiple sources in multiple formats, including ArcGIS Server, ArcIMS, and WMS. The observation network data is configured in an XML file where you specify the network's web service location and its corresponding map layer. Upon initial deployment, two national level observation networks (USGS NWIS daily values and USGS NWIS Instantaneous values) are already pre-configured. There is also an optional login page which can be used to restrict access as well as providing a alternative to immediate downloads. For large request, users would be notified via email with a link to their data when it is ready.

Publications - RDF 2014-20 | Alaska Division of Geological & Geophysical

Science.gov Websites

Tidal Datum Portal Climate and Cryosphere Hazards Coastal Hazards Program Guide to Geologic Hazards in Download golovin-lidar-las-index Shapefile 71.0 K Metadata - Read me Keywords Coastal; Coastal and River

Publications - PIR 2001-3D | Alaska Division of Geological & Geophysical

Science.gov Websites

Tidal Datum Portal Climate and Cryosphere Hazards Coastal Hazards Program Guide to Geologic Hazards in Shapefile 1.4 M Metadata - Read me Keywords Coastal and River; Coastal and River Hazards; Construction

International Digital Elevation Model Service (IDEMS): A Revived IAG Service

NASA Astrophysics Data System (ADS)

Kelly, K. M.; Hirt, C., , Dr; Kuhn, M.; Barzaghi, R.

2017-12-01

A newly developed International Digital Elevation Model Service (IDEMS) is now available under the umbrella of the International Gravity Field Service of the International Association of Geodesy. Hosted and operated by Environmental Systems Research Institute (Esri) (http://www.esri.com/), the new IDEMS website is available at: https://idems.maps.arcgis.com/home/index.html. IDEMS provides a focus for distribution of data and information about various digital elevation models, including spherical-harmonic models of Earth's global topography and lunar and planetary DEM. Related datasets, such as representation of inland water within DEMs, and relevant software which are available in the public domain are also provided. Currently, IDEMS serves as repository of links to providers of global terrain and bathymetry, terrain related Earth models and datasets such as digital elevation data services managed and maintained by Esri (Terrain and TopoBathy), Bedmap2-Ice thickness and subglacial topographic model of Antarctica and Ice, Cloud, and Land Elevation ICESat/GLAS Data, as well as planetary terrain data provided by PDS Geosciences Node at Washington University, St. Louis. These services provide online access to a collection of multi-resolution and multi-source elevation and bathymetry data, including metadata and source information. In addition to IDEMS current holdings of terrestrial and planetary DEMs, some topography related products IDEMS may include in future are: dynamic ocean topography, 3D crustal density models, Earth's dynamic topography, etc. IDEMS may also consider terrain related products such as quality assessments, global terrain corrections, global height anomaly-to-geoid height corrections and other geodesy-relevant studies and products. IDEMS encourages contributions to the site from the geodetic community in any of the product types listed above. Please contact the authors if you would like to contribute or recommend content you think appropriate for IDEMS.

Innovating Big Data Computing Geoprocessing for Analysis of Engineered-Natural Systems

NASA Astrophysics Data System (ADS)

Rose, K.; Baker, V.; Bauer, J. R.; Vasylkivska, V.

2016-12-01

Big data computing and analytical techniques offer opportunities to improve predictions about subsurface systems while quantifying and characterizing associated uncertainties from these analyses. Spatial analysis, big data and otherwise, of subsurface natural and engineered systems are based on variable resolution, discontinuous, and often point-driven data to represent continuous phenomena. We will present examples from two spatio-temporal methods that have been adapted for use with big datasets and big data geo-processing capabilities. The first approach uses regional earthquake data to evaluate spatio-temporal trends associated with natural and induced seismicity. The second algorithm, the Variable Grid Method (VGM), is a flexible approach that presents spatial trends and patterns, such as those resulting from interpolation methods, while simultaneously visualizing and quantifying uncertainty in the underlying spatial datasets. In this presentation we will show how we are utilizing Hadoop to store and perform spatial analyses to efficiently consume and utilize large geospatial data in these custom analytical algorithms through the development of custom Spark and MapReduce applications that incorporate ESRI Hadoop libraries. The team will present custom `Big Data' geospatial applications that run on the Hadoop cluster and integrate with ESRI ArcMap with the team's probabilistic VGM approach. The VGM-Hadoop tool has been specially built as a multi-step MapReduce application running on the Hadoop cluster for the purpose of data reduction. This reduction is accomplished by generating multi-resolution, non-overlapping, attributed topology that is then further processed using ESRI's geostatistical analyst to convey a probabilistic model of a chosen study region. Finally, we will share our approach for implementation of data reduction and topology generation via custom multi-step Hadoop applications, performance benchmarking comparisons, and Hadoop-centric opportunities for greater parallelization of geospatial operations.

Daily Planet Imagery: GIBS MODIS Products on ArcGIS Online

NASA Astrophysics Data System (ADS)

Plesea, L.

2015-12-01

The NASA EOSDIS Global Imagery Browse Services (GIBS) is rapidly becoming an invaluable GIS resource for the science community and for the public at large. Reliable, fast access to historical as well as near real time, georeferenced images form a solid basis on which many innovative applications and projects can be built. Esri has recognized the value of this effort and is a GIBS user and collaborator. To enable the use of GIBS services within the ArcGIS ecosystem, Esri has built a GIBS reflector server at http://modis.arcgis.com, server which offers the facilities of a time enabled Mosaic Service on top of the GIBS provided images. Currently the MODIS reflectance products are supported by this mosaic service, possibilities of handling other GIBS products are being explored. This reflector service is deployed on the Amazon Elastic Compute Cloud platform, and is freely available to the end users. Due to the excellent response time from GIBS, image tiles do not have to be stored by the Esri mosaic server, all needed data being retrieved directly from GIBS when needed, continuously reflecting the state of GIBS, and greatly simplifying the maintenance of this service. Response latency is usually under one second, making it easy to interact with the data. The remote data access is achieved by using the Geospatial Data Abstraction Library (GDAL) Tiled Web Map Server (TWMS) driver. The response time of this server is excellent, usually under one second. The MODIS imagery has proven to be one of the most popular ones on the ArcGIS Online platform, where it is frequently use to provide temporal context to maps, or by itself, to tell a compelling story.

Integrating UAV Flight outputs in Esri's CityEngine for semi-urban areas

NASA Astrophysics Data System (ADS)

Anca, Paula; Vasile, Alexandru; Sandric, Ionut

2016-04-01

One of the most pervasive technologies of recent years, which has crossed over into consumer products due to its lowering prince, is the UAV, commonly known as drones. Besides its ever-more accessible prices and growing functionality, what is truly impressive is the drastic reduction in processing time, from days to ours: from the initial flight preparation to the final output. This paper presents such a workflow and goes further by integrating the outputs into another growing technology: 3D. The software used for this purpose is Esri's CityEngine, which was developed for modeling 3D urban environments using existing 2D GIS data and computer generated architecture (CGA) rules, instead of modeling each feature individually. A semi-urban areas was selected for this study and captured using the E-Bee from Parrot. The output point cloud elevation from the E-Bee flight was transformed into a raster in order to be used as an elevation surface in CityEngine, and the mosaic raster dataset was draped over this surface. In order to model the buildings in this area CGA rules were written using the building footprints, as inputs, in the form of Feature Classes. The extrusion heights for the buildings were also extracted from the point cloud, and realistic textures were draped over the 3D building models. Finally the scene was shared as a 3D web-scene which can be accessed by anyone through a link, without any software besides an internet browser. This can serve as input for Smart City development through further analysis for urban ecology Keywords: 3D, drone, CityEngine, E-Bee, Esri, scene, web-scene

Improving Access to Precipitation Data for GIS Users: Designing for Ease of Use

NASA Technical Reports Server (NTRS)

Stocker, Erich F.; Kelley, Owen A.

2007-01-01

The Global Precipitation Measurement Mission (GPM) is a NASA/JAXA led international mission to configure a constellation of space-based radiometers to monitor precipitation over the globe. The GPM goal of making global 3-hour precipitation products available in near real-time will make such global products more useful to a broader community of modelers and Geographic Information Systems (GIS) users than is currently the case with remote sensed precipitation products. Based on the existing interest to make Tropical Rainfall Measuring Mission (TRMM) data available to a growing community of GIS users as well as what will certainly be an expanded community during the GPM era, it is clear that data systems must make a greater effort to provide data in formats easily used by GIS. We describe precipitation GIS products being developed for TRMM data. These products will serve as prototypes for production efforts during the GPM era. We describe efforts to convert TRMM precipitation data to GeoTIFF, Shapefile, and ASCII grid. Clearly, our goal is to format GPM data so that it can be easily used within GIS applications. We desire feedback on these efforts and any additions or direction changes that should be undertaken by the data system.

The Changing Midwest Assessment: land cover, natural resources, and people

Treesearch

Robert Potts; Eric Gustafson; Susan I. Stewart; Frank R. Thompson; Kathleen Bergen; Daniel G. Brown; Roger Hammer; Volker Radeloff; David Bengston; John Sauer; Brian Sturtevant

2004-01-01

Documents changes in land cover, forests, selected natural resources, and human demographics and attitudes across the Midwest from roughly 1980 to 2000. The changing Midwest assessment: data and shapefiles are available from the Forest Service Research Data Archive....

Biomethane

Science.gov Websites

; wastewater treatment; and industrial, institutional, and commercial organic waste (IIC). The purpose of this used in any advertising or publicity to endorse or promote any product or commercial entity using or FIPS ESRI OWCH4t Methane generation potential from industrial, institutional, and commercial organic

The National Map Customer Requirements: Findings from Interviews and Surveys

USGS Publications Warehouse

Sugarbaker, Larry; Coray, Kevin E.; Poore, Barbara

2009-01-01

The purpose of this study was to receive customer feedback and to understand data and information requirements for The National Map. This report provides results and findings from interviews and surveys and will guide policy and operations decisions about data and information requirements leading to the development of a 5-year strategic plan for the National Geospatial Program. These findings are based on feedback from approximately 2,200 customers between February and August 2008. The U.S. Geological Survey (USGS) conducted more than 160 interviews with 200 individuals. The American Society for Photogrammetry and Remote Sensing (ASPRS) and the International Map Trade Association (IMTA) surveyed their memberships and received feedback from over 400 members. The Environmental Systems Research Institute (ESRI) received feedback from over 1,600 of its U.S.-based software users through an online survey sent to customers attending the ESRI International User Conference in the summer of 2008. The results of these surveys were shared with the USGS and have been included in this report.

GENERATING SOPHISTICATED SPATIAL SURROGATES USING THE MIMS SPATIAL ALLOCATOR

EPA Science Inventory

The Multimedia Integrated Modeling System (MIMS) Spatial Allocator is open-source software for generating spatial surrogates for emissions modeling, changing the map projection of Shapefiles, and performing other types of spatial allocation that does not require the use of a comm...

Geologic Map and GIS Data for the Patua Geothermal Area

DOE Data Explorer

Faulds, James E.

2011-10-31

Patua—ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, veins, dikes, unit polygons, and attitudes of strata and faults. - List of stratigraphic units. - Locations of geothermal wells. - Locations of 40Ar/39Ar and tephra samples.

Geologic Map and GID Data for the Salt Wells Geothermal Area

DOE Data Explorer

Hinz, Nick

2011-10-31

Salt Wells—ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, dikes, unit polygons, and attitudes of strata and faults. - List of stratigraphic units and stratigraphic correlation diagram. - Locations of 40Ar/39Ar samples.

CONNECTICUT GROUND WATER QUALITY CLASSIFICATIONS

EPA Science Inventory

This is a 1:24,000-scale datalayer of Ground Water Quality Classifications in Connecticut. It is a polygon Shapefile that includes polygons for GA, GAA, GAAs, GB, GC and other related ground water quality classes. Each polygon is assigned a ground water quality class, which is s...

Land-use evaluation for sustainable construction in a protected area: A case of Sara mountain national park.

PubMed

Ristić, Vladica; Maksin, Marija; Nenković-Riznić, Marina; Basarić, Jelena

2018-01-15

The process of making decisions on sustainable development and construction begins in spatial and urban planning when defining the suitability of using land for sustainable construction in a protected area (PA) and its immediate and regional surroundings. The aim of this research is to propose and assess a model for evaluating land-use suitability for sustainable construction in a PA and its surroundings. The methodological approach of Multi-Criteria Decision Analysis was used in the formation of this model and adapted for the research; it was combined with the adapted Analytical hierarchy process and the Delphi process, and supported by a geographical information system (GIS) within the framework of ESRI ArcGIS software - Spatial analyst. The model is applied to the case study of Sara mountain National Park in Kosovo. The result of the model is a "map of integrated assessment of land-use suitability for sustainable construction in a PA for the natural factor". Copyright © 2017 Elsevier Ltd. All rights reserved.

Vulnerable transportation and utility assets near actively migrating streams in Indiana

USGS Publications Warehouse

Sperl, Benjamin J.

2017-11-02

An investigation was completed by the U.S. Geological Survey in cooperation with the Indiana Office of Community and Rural Affairs that found 1,132 transportation and utility assets in Indiana are vulnerable to fluvial erosion hazards due to close proximity to actively migrating streams. Locations of transportation assets (bridges, roadways, and railroad lines) and selected utility assets (high-capacity overhead power-transmission lines, underground pipelines, water treatment facilities, and in-channel dams) were determined using aerial imagery hosted by the Google Earth platform. Identified assets were aggregated by stream reach, county, and class. Accompanying the report is a polyline shapefile of the stream reaches documented by Robinson. The shapefile, derived from line work in the National Hydrography Dataset and attributed with channel migration rates, is released with complete Federal Geographic Data Committee metadata. The data presented in this report are intended to help stakeholders and others identify high-risk areas where transportation and utility assets may be threatened by fluvial erosion hazards thus warranting consideration for mitigation strategies.

Meta-Abstract for the EnviroAtlas Poster Block at the 2013 ESRI International User Conference (7/12/13)

EPA Science Inventory

The EPA is launching a web-based mapping application—EnviroAtlas—which is designed to communicate ecosystem services, their drivers, societal benefits, and potential future status in a user-friendly manner. EnviroAtlas includes a coarse-scale national component, with...

H2renewables

Science.gov Websites

of Agriculture. Added Pop2001 attribute from ESRI Business Information Solutions. Converted Hawaii to 2001 publication date Attribute data CD-ROM USDA Farm 1997 Census of Agriculture U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) 199903 Census of Agriculture 1997 USA U.S

AUTOMATED GIS WATERSHED ANALYSIS TOOLS FOR RUSLE/SEDMOD SOIL EROSION AND SEDIMENTATION MODELING

EPA Science Inventory

A comprehensive procedure for computing soil erosion and sediment delivery metrics has been developed using a suite of automated Arc Macro Language (AML ) scripts and a pair of processing- intensive ANSI C++ executable programs operating on an ESRI ArcGIS 8.x Workstation platform...

CONNECTICUT GROUND WATER QUALITY CLASSIFICATIONS - WELLS

EPA Science Inventory

This is a 1:24,000-scale datalayer of Ground Water Quality Classifications for public supply wells in Connecticut. It is a polygon Shapefile that includes GAA areas for public water supply wells. Each polygon is assigned a GAA ground water quality class, which is stored in the d...

Bedrock geologic map of the Uxbridge quadrangle, Worcester County, Massachusetts, and Providence County, Rhode Island

USGS Publications Warehouse

Walsh, Gregory J.

2014-01-01

The bedrock geology of the 7.5-minute Uxbridge quadrangle consists of Neoproterozoic metamorphic and igneous rocks of the Avalon zone. In this area, rocks of the Avalon zone lie within the core of the Milford antiform, south and east of the terrane-bounding Bloody Bluff fault zone. Permian pegmatite dikes and quartz veins occur throughout the quadrangle. The oldest metasedimentary rocks include the Blackstone Group, which represents a Neoproterozoic peri-Gondwanan marginal shelf sequence. The metasedimentary rocks are intruded by Neoproterozoic arc-related plutonic rocks of the Rhode Island batholith. This report presents mapping by G.J. Walsh. The complete report consists of a map, text pamphlet, and GIS database. The map and text pamphlet are available only as downloadable files (see frame at right). The GIS database is available for download in ESRI™ shapefile and Google Earth™ formats, and includes contacts of bedrock geologic units, faults, outcrops, structural geologic information, geochemical data, and photographs.

Publications - PIR 2002-1C | Alaska Division of Geological & Geophysical

Science.gov Websites

fortymile_eaglea1_surficial Shapefile 3.3 M Metadata - Read me Keywords Alaska, State of; Alluvial Deposits; Bison Fossils ; Boundary (Place); Caribou Fossils; Cenozoic; Colluvial Deposits; Complex Deposits; Cretaceous; Devonian ; Fortymile Mining District; Fortymile River; Geologic Map; Geology; Glacial Deposits; Holocene; Horse Fossils

Fallon, Nevada FORGE Geodetic Data

DOE Data Explorer

Blankenship, Doug; Eneva, Mariana; Hammond, William

2018-02-01

Fallon FORGE InSAR and geodetic GPS deformation data. InSAR shapefiles are packaged together as .MPK (ArcMap map package, compatible with other GIS platforms), and as .CSV comma-delimited plaintext. GPS data and additional metadata are linked to the Nevada Geodetic Laboratory database at the Univ. of Nevada, Reno (UNR).

KY_50mwind

Science.gov Websites

is not suitable for micro-siting potential development projects. This shapefile was generated from a for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted , the user of this data agrees to credit NREL in any publications or software that incorporate or use

utah_50mwind

Science.gov Websites

is not suitable for micro-siting potential development projects. This shapefile was generated from a for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted , the user of this data agrees to credit NREL in any publications or software that incorporate or use

mn_50mwind

Science.gov Websites

for micro-siting potential development projects. This shapefile was generated from a raster dataset for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted , the user of this data agrees to credit NREL in any publications or software that incorporate or use

bt_50mwind

Science.gov Websites

for micro-siting potential development projects. This shapefile was generated from a raster dataset Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this

am_50mwind

Science.gov Websites

for micro-siting potential development projects. This shapefile was generated from a raster dataset for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted , the user of this data agrees to credit NREL in any publications or software that incorporate or use

Publications - PDF 96-16 | Alaska Division of Geological & Geophysical

Science.gov Websites

Alaska's Mineral Industry Reports AKGeology.info Rare Earth Elements WebGeochem Engineering Geology Alaska fbx_prelim_geology Shapefile 6.5 M Metadata - Read me Keywords Age Dates; Antimony; Ar-Ar; Bedrock; Bedrock Geology ; Birch Hill Sequence; Bismuth; Chatanika Terrane; Construction Materials; Derivative; Economic Geology

Cascades/Aleutian Play Fairway Analysis: Data and Map Files

DOE Data Explorer

Lisa Shevenell

2015-11-15

Contains Excel data files used to quantifiably rank the geothermal potential of each of the young volcanic centers of the Cascade and Aleutian Arcs using world power production volcanic centers as benchmarks. Also contains shapefiles used in play fairway analysis with power plant, volcano, geochemistry and structural data.

ndsd_50mwind

Science.gov Websites

: January, 2000 Title: ndsd_50mwind Geospatial_Data_Presentation_Form: vector digital data Description . Supplemental_Information: This data set was produced and validated by NREL using their WRAM model. This shapefile was , North Dakota, South Dakota Access_Constraints: None Use_Constraints: This GIS data was developed by the

A new Link for Geographic analyses of Inventory Data

Treesearch

David Reed; Kurt Pregitzer; Scott A. Pugh; Patrick D. Miles

2001-01-01

The USDA Forest Service Forest Inventory and Analysis (FIA)data are widely used throughout the United States for analyses of forest status and trends, landscape-level forest composition, and other forest characteristics. A new software product, FIAMODEL, is available for analyzing FIA data within the ArcView? (ESRI, Inc.)geographic information system. The software...

How NASA's Atmospheric Science Data Center (ASDC) is operationally using the Esri ArcGIS Platform to improve data discoverability, accessibility and interoperability to meet the diversifying government, private, public and academic communities' driven requirements.

NASA Astrophysics Data System (ADS)

Tisdale, M.

2016-12-01

NASA's Atmospheric Science Data Center (ASDC) is operationally using the Esri ArcGIS Platform to improve data discoverability, accessibility and interoperability to meet the diversifying government, private, public and academic communities' driven requirements. The ASDC is actively working to provide their mission essential datasets as ArcGIS Image Services, Open Geospatial Consortium (OGC) Web Mapping Services (WMS), OGC Web Coverage Services (WCS) and leveraging the ArcGIS multidimensional mosaic dataset structure. Science teams and ASDC are utilizing these services, developing applications using the Web AppBuilder for ArcGIS and ArcGIS API for Javascript, and evaluating restructuring their data production and access scripts within the ArcGIS Python Toolbox framework and Geoprocessing service environment. These capabilities yield a greater usage and exposure of ASDC data holdings and provide improved geospatial analytical tools for a mission critical understanding in the areas of the earth's radiation budget, clouds, aerosols, and tropospheric chemistry.

Improving data discoverability, accessibility, and interoperability with the Esri ArcGIS Platform at the NASA Atmospheric Science Data Center (ASDC).

NASA Astrophysics Data System (ADS)

Tisdale, M.

2017-12-01

NASA's Atmospheric Science Data Center (ASDC) is operationally using the Esri ArcGIS Platform to improve data discoverability, accessibility and interoperability to meet the diversifying user requirements from government, private, public and academic communities. The ASDC is actively working to provide their mission essential datasets as ArcGIS Image Services, Open Geospatial Consortium (OGC) Web Mapping Services (WMS), and OGC Web Coverage Services (WCS) while leveraging the ArcGIS multidimensional mosaic dataset structure. Science teams at ASDC are utilizing these services through the development of applications using the Web AppBuilder for ArcGIS and the ArcGIS API for Javascript. These services provide greater exposure of ASDC data holdings to the GIS community and allow for broader sharing and distribution to various end users. These capabilities provide interactive visualization tools and improved geospatial analytical tools for a mission critical understanding in the areas of the earth's radiation budget, clouds, aerosols, and tropospheric chemistry. The presentation will cover how the ASDC is developing geospatial web services and applications to improve data discoverability, accessibility, and interoperability.

Creating and Sharing Understanding: GEOSS and ArcGIS Online

NASA Astrophysics Data System (ADS)

White, C. E.; Hogeweg, M.; Foust, J.

2014-12-01

The GEOSS program brokers various forms of earth observation data and information via its online platform Discovery and Access Broker (DAB). The platform connects relevant information systems and infrastructures through the world. Esri and the National Research Council of Italy Institute of Atmospheric Pollution Research (CNR-IIA) are building two-way technology between DAB framework and ArcGIS Online using the ArcGIS Online API. Developers will engineer Esri and DAB interfaces and build interoperable web services that connect the two systems. This collaboration makes GEOSS earth observation data and services available to the ArcGIS Online community, and ArcGIS Online a significant part of the GEOSS DAB infrastructure. ArcGIS Online subscribers can discover and access the resources published by GEOSS, use GEOSS data services, and build applications. Making GEOSS content available in ArcGIS Online increases opportunities for scientists in other communities to visualize information in greater context. Moreover, because the platform supports authoritative and crowd-sourcing information, GEOSS members can build networks into other disciplines. This talk will discuss the power of interoperable service architectures that make such a collaboration possible, and the results thus far.

US Geoscience Information Network, Web Services for Geoscience Information Discovery and Access

NASA Astrophysics Data System (ADS)

Richard, S.; Allison, L.; Clark, R.; Coleman, C.; Chen, G.

2012-04-01

The US Geoscience information network has developed metadata profiles for interoperable catalog services based on ISO19139 and the OGC CSW 2.0.2. Currently data services are being deployed for the US Dept. of Energy-funded National Geothermal Data System. These services utilize OGC Web Map Services, Web Feature Services, and THREDDS-served NetCDF for gridded datasets. Services and underlying datasets (along with a wide variety of other information and non information resources are registered in the catalog system. Metadata for registration is produced by various workflows, including harvest from OGC capabilities documents, Drupal-based web applications, transformation from tabular compilations. Catalog search is implemented using the ESRI Geoportal open-source server. We are pursuing various client applications to demonstrated discovery and utilization of the data services. Currently operational applications allow catalog search and data acquisition from map services in an ESRI ArcMap extension, a catalog browse and search application built on openlayers and Django. We are developing use cases and requirements for other applications to utilize geothermal data services for resource exploration and evaluation.

Hydrologic and landscape database for the Cache and White River National Wildlife Refuges and contributing watersheds in Arkansas, Missouri, and Oklahoma

USGS Publications Warehouse

Buell, Gary R.; Wehmeyer, Loren L.; Calhoun, Daniel L.

2012-01-01

A hydrologic and landscape database was developed by the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, for the Cache River and White River National Wildlife Refuges and their contributing watersheds in Arkansas, Missouri, and Oklahoma. The database is composed of a set of ASCII files, Microsoft Access® files, Microsoft Excel® files, an Environmental Systems Research Institute (ESRI) ArcGIS® geodatabase, ESRI ArcGRID® raster datasets, and an ESRI ArcReader® published map. The database was developed as an assessment and evaluation tool to use in examining refuge-specific hydrologic patterns and trends as related to water availability for refuge ecosystems, habitats, and target species; and includes hydrologic time-series data, statistics, and hydroecological metrics that can be used to assess refuge hydrologic conditions and the availability of aquatic and riparian habitat. Landscape data that describe the refuge physiographic setting and the locations of hydrologic-data collection stations are also included in the database. Categories of landscape data include land cover, soil hydrologic characteristics, physiographic features, geographic and hydrographic boundaries, hydrographic features, regional runoff estimates, and gaging-station locations. The database geographic extent covers three hydrologic subregions—the Lower Mississippi–St Francis (0802), the Upper White (1101), and the Lower Arkansas (1111)—within which human activities, climatic variation, and hydrologic processes can potentially affect the hydrologic regime of the refuges and adjacent areas. Database construction has been automated to facilitate periodic updates with new data. The database report (1) serves as a user guide for the database, (2) describes the data-collection, data-reduction, and data-analysis methods used to construct the database, (3) provides a statistical and graphical description of the database, and (4) provides detailed information on the development of analytical techniques designed to assess water availability for ecological needs.

Improving Data Discovery, Access, and Analysis to More Than Three Decades of Oceanographic and Geomorphologic Observations

NASA Astrophysics Data System (ADS)

Forte, M.; Hesser, T.; Knee, K.; Ingram, I.; Hathaway, K. K.; Brodie, K. L.; Spore, N.; Bird, A.; Fratantonio, R.; Dopsovic, R.; Keith, A.; Gadomski, K.

2016-02-01

The U.S. Army Engineer Research and Development Center's (USACE ERDC) Coastal and Hydraulics Laboratory (CHL) Coastal Observations and Analysis Branch (COAB) Measurements Program has a 35-year record of coastal observations. These datasets include oceanographic point source measurements, Real-Time Kinematic (RTK) GPS bathymetry surveys, and remote sensing data from both the Field Research Facility (FRF) in Duck, NC and from other project and experiment sites around the nation. The data has been used to support a variety of USACE mission areas, including coastal wave model development, beach and bar response, coastal project design, coastal storm surge, and other coastal hazard investigations. Furthermore these data have been widely used by a number of federal and state agencies, academic institutions, and private industries in hundreds of scientific and engineering investigations, publications, conference presentations and model advancement studies. A limiting factor to the use of FRF data has been rapid, reliable access and publicly available metadata for each data type. The addition of web tools, accessible data files, and well-documented metadata will open the door to much future collaboration. With the help of industry partner RPS ASA and the U.S. Army Corps of Engineers Mobile District Spatial Data Branch, a Data Integration Framework (DIF) was developed. The DIF represents a combination of processes, standards, people, and tools used to transform disconnected enterprise data into useful, easily accessible information for analysis and reporting. A front-end data portal connects the user to the framework that integrates both oceanographic observation and geomorphology measurements using a combination of ESRI and open-source technology while providing a seamless data discovery, access, and analysis experience to the user. The user interface was built with ESRI's JavaScript API and all project metadata is managed using Geoportal. The geomorphology data is made available through ArcGIS Server, while the oceanographic data sets have been formatted to netCDF4 and made available through a THREDDS server. Additional web tools run alongside the THREDDS server to provide rapid statistical calculations and plotting, allowing for user defined data access and visualization.

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

As a teamed partnership of the Center for Earth Observing and Space Research (CEOSR) at George Mason University (GMU), Virginia Department of Transportation (VDOT), Bureau of Transportation Statistics at the Department of Transportation (BTS/DOT), and Intergraph, we established Transportation Framework Data Services using Open Geospatial Consortium (OGC)'s Web Feature Service (WFS) Specification to enable the sharing of transportation data among the federal level with data from BTS/DOT, the state level through VDOT, the industries through Intergraph. CEOSR develops WFS solutions using Intergraph software. Relevant technical documents are also developed and disseminated through the partners. The WFS is integrated with operational geospatial systems at CEOSR and VDOT. CEOSR works with Intergraph on developing WFS solutions and technical documents. GeoMedia WebMap WFS toolkit is used with software and technical support from Intergraph. ESRI ArcIMS WFS connector is used with GMU's campus license of ESRI products. Tested solutions are integrated with framework data service operational systems, including 1) CEOSR's interoperable geospatial information services, FGDC clearinghouse Node, Geospatial One Stop (GOS) portal, and WMS services, 2) VDOT's state transportation data and GIS infrastructure, and 3)BTS/DOT's national transportation data. The project presents: 1) develop and deploy an operational OGC WFS 1.1 interfaces at CEOSR for registering with FGDC/GOS Portal and responding to Web ``POST'' requests for transportation Framework data as listed in Table 1; 2) build the WFS service that can return the data that conform to the drafted ANSI/INCITS L1 Standard (when available) for each identified theme in the format given by OGC Geography Markup Language (GML) Version 3.0 or higher; 3) integrate the OGC WFS with CEOSR's clearinghouse nodes, 4) establish a formal partnership to develop and share WFS-based geospatial interoperability technology among GMU, VDOT, BTS/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.

White Sands Missile Range Main Cantonment and NASA Area Faults, New Mexico

DOE Office of Scientific and Technical Information (OSTI.GOV)

Nash, Greg

This is a zipped ArcGIS shapefile containing faults mapped for the Tularosa Basin geothermal play fairway analysis project. The faults were interpolated from gravity and seismic (NASA area) data, and from geomorphic features on aerial photography. Field work was also done for validation of faults which had surface expressions.

gulf_of_mexico_90mwindspeed_off

Science.gov Websites

using their MesoMap system and historical weather data. This shapefile was generated from raster "). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance copies of the data. Further, the user of this data agrees to credit NREL in any publications or software

cl_reg9_swcoast_50mwind

Science.gov Websites

is not suitable for micro-siting potential development projects. This shapefile was generated from a , LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without any , provided that this entire notice appears in all copies of the data. Further, the user of this data agrees

cu_50mwind

Science.gov Websites

-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this

mx_yuc_50mwind

Science.gov Websites

data is not suitable for micro-siting potential development projects. This shapefile was generated from ;). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and the data. Further, the user of this data agrees to credit NREL in any publications or software that

af_pk_50mwind

Science.gov Websites

development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this

hi_90mwindspeed_off

Science.gov Websites

WGS 84. The shapefile was generated from the raster dataset and then projected to Geographic Decimal "). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance copies of the data. Further, the user of this data agrees to credit NREL in any publications or software

PR_VI_50mwind

Science.gov Websites

-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any

do_50mwind

Science.gov Websites

is not suitable for micro-siting potential development projects. This shapefile was generated from a "). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance copies of the data. Further, the user of this data agrees to credit NREL in any publications or software

gh_50mwind

Science.gov Websites

-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this

Publications - PIR 2002-2 | Alaska Division of Geological & Geophysical

Science.gov Websites

for more information. Quadrangle(s): Philip Smith Mountains Bibliographic Reference Harris, E.E., Mull , scale 1:63,360 (14.0 M) Digital Geospatial Data Digital Geospatial Data Philip Smith Mountains: Geologic Smith Mountains: Topo Data Download psm-topo Shapefile 11.5 M Metadata - Read me Keywords Alaska, State

Colorado Wind Resource at 50 Meters Above Ground Level

Science.gov Websites

Meters Above Ground Level Geospatial_Data_Presentation_Form: vector digital data Description: Abstract . Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from

Automating the Fireshed Assessment Process with ArcGIS

Treesearch

Alan Ager; Klaus Barber

2006-01-01

A library of macros was developed to automate the Fireshed process within ArcGIS. The macros link a number of vegetation simulation and wildfire behavior models (FVS, SVS, FARSITE, and FlamMap) with ESRI geodatabases, desktop software (Access, Excel), and ArcGIS. The macros provide for (1) an interactive linkage between digital imagery, vegetation data, FVS-FFE, and...

FIAMODEL : a new link for geographic analyses of inventory data

Treesearch

David Reed; Kurt Pregitzer; Scott A. Pugh; Patrick Miles

2001-01-01

The USDA Forest Service Forest Inventory and Analysis (FIA) data are widely used throughtout the United States for analyses of forest status and trends, landscape-level forest composition, and other forest characteristics. A new software product, FIAMODEL, is available for analyzing FIA data within the ArcView (ESRI,Inc.) geographic information system. The software...

Digital data collection in forest dynamics plots

Treesearch

Faith Inman-Narahari; Christian Giardina; Rebecca Ostertag; Susan Cordell; Lawren Sack

2010-01-01

Summary 1. Computers are widely used in all aspects of research but their application to in-field data collection for forest plots has rarely been evaluated. 2. We developed digital data collection methods using ESRI mapping software and ruggedized field computers to map and measure ~30 000 trees in two 4-ha forest dynamics plots in wet and dry...

Climate Change for Agriculture, Forest Cover and 3d Urban Models

NASA Astrophysics Data System (ADS)

Kapoor, M.; Bassir, D.

2014-11-01

This research demonstrates the important role of the remote sensing in finding out the different parameters behind the agricultural crop change, forest cover and urban 3D models. Standalone software is developed to view and analysis the different factors effecting the change in crop productions. Open-source libraries from the Open Source Geospatial Foundation have been used for the development of the shape-file viewer. Software can be used to get the attribute information, scale, zoom in/out and pan the shapefiles. Environmental changes due to pollution and population that are increasing the urbanisation and decreasing the forest cover on the earth. Satellite imagery such as Landsat 5(1984) to Landsat TRIS/8 (2014), Landsat Data Continuity Mission (LDCM) and NDVI are used to analyse the different parameters that are effecting the agricultural crop production change and forest change. It is advisable for the development of good quality of NDVI and forest cover maps to use data collected from the same processing methods for the complete region. Management practices have been developed from the analysed data for the betterment of the crop and saving the forest cover

Preliminary surficial geologic map database of the Amboy 30 x 60 minute quadrangle, California

USGS Publications Warehouse

Bedford, David R.; Miller, David M.; Phelps, Geoffrey A.

2006-01-01

The surficial geologic map database of the Amboy 30x60 minute quadrangle presents characteristics of surficial materials for an area approximately 5,000 km2 in the eastern Mojave Desert of California. This map consists of new surficial mapping conducted between 2000 and 2005, as well as compilations of previous surficial mapping. Surficial geology units are mapped and described based on depositional process and age categories that reflect the mode of deposition, pedogenic effects occurring post-deposition, and, where appropriate, the lithologic nature of the material. The physical properties recorded in the database focus on those that drive hydrologic, biologic, and physical processes such as particle size distribution (PSD) and bulk density. This version of the database is distributed with point data representing locations of samples for both laboratory determined physical properties and semi-quantitative field-based information. Future publications will include the field and laboratory data as well as maps of distributed physical properties across the landscape tied to physical process models where appropriate. The database is distributed in three parts: documentation, spatial map-based data, and printable map graphics of the database. Documentation includes this file, which provides a discussion of the surficial geology and describes the format and content of the map data, a database 'readme' file, which describes the database contents, and FGDC metadata for the spatial map information. Spatial data are distributed as Arc/Info coverage in ESRI interchange (e00) format, or as tabular data in the form of DBF3-file (.DBF) file formats. Map graphics files are distributed as Postscript and Adobe Portable Document Format (PDF) files, and are appropriate for representing a view of the spatial database at the mapped scale.

Spatial predictive mapping using artificial neural networks

NASA Astrophysics Data System (ADS)

Noack, S.; Knobloch, A.; Etzold, S. H.; Barth, A.; Kallmeier, E.

2014-11-01

The modelling or prediction of complex geospatial phenomena (like formation of geo-hazards) is one of the most important tasks for geoscientists. But in practice it faces various difficulties, caused mainly by the complexity of relationships between the phenomena itself and the controlling parameters, as well by limitations of our knowledge about the nature of physical/ mathematical relationships and by restrictions regarding accuracy and availability of data. In this situation methods of artificial intelligence, like artificial neural networks (ANN) offer a meaningful alternative modelling approach compared to the exact mathematical modelling. In the past, the application of ANN technologies in geosciences was primarily limited due to difficulties to integrate it into geo-data processing algorithms. In consideration of this background, the software advangeo® was developed to provide a normal GIS user with a powerful tool to use ANNs for prediction mapping and data preparation within his standard ESRI ArcGIS environment. In many case studies, such as land use planning, geo-hazards analysis and prevention, mineral potential mapping, agriculture & forestry advangeo® has shown its capabilities and strengths. The approach is able to add considerable value to existing data.

GIS-MODFLOW: Ein kleines OpenSource-Werkzeug zur Anbindung von GIS-Daten an MODFLOW

NASA Astrophysics Data System (ADS)

Gossel, Wolfgang

2013-06-01

The numerical model MODFLOW (Harbaugh 2005) is an efficient and up-to-date tool for groundwater flow modelling. On the other hand, Geo-Information-Systems (GIS) provide useful tools for data preparation and visualization that can also be incorporated in numerical groundwater modelling. An interface between both would therefore be useful for many hydrogeological investigations. To date, several integrated stand-alone tools have been developed that rely on MODFLOW, MODPATH and transport modelling tools. Simultaneously, several open source-GIS codes were developed to improve functionality and ease of use. These GIS tools can be used as pre- and post-processors of the numerical model MODFLOW via a suitable interface. Here we present GIS-MODFLOW as an open-source tool that provides a new universal interface by using the ESRI ASCII GRID data format that can be converted into MODFLOW input data. This tool can also treat MODFLOW results. Such a combination of MODFLOW and open-source GIS opens new possibilities to render groundwater flow modelling, and simulation results, available to larger circles of hydrogeologists.

The Use of Virtual Globes as a Spatial Teaching Tool with Suggestions for Metadata Standards

ERIC Educational Resources Information Center

Schultz, Richard B.; Kerski, Joseph J.; Patterson, Todd C.

2008-01-01

Virtual Globe software has become extremely popular both inside and outside of educational settings. This software allows users to explore the Earth in three dimensions while streaming satellite imagery, elevation, and other data from the Internet. Virtual Globes, such as Google Earth, NASA World Wind, and ESRI's ArcGIS Explorer can be effectively…

Quantifying Forest Ground Flora Biomass Using Close-range Remote Sensing

Treesearch

Paul F. Doruska; Robert C. Weih; Matthew D. Lane; Don C. Bragg

2005-01-01

Close-range remote sensing was used to estimate biomass of forest ground flora in Arkansas. Digital images of a series of 1-m² plots were taken using Kodak DCS760 and Kodak DCS420CIR digital cameras. ESRI ArcGIS™ and ERDAS Imagine® software was used to calculate the Normalized Difference Vegetation Index (NDVI) and the Average Visible...

Geoinquiries: Maps and Data for Everyone

ERIC Educational Resources Information Center

Baker, Thomas R.

2015-01-01

Ever want to take a quick, deep-dive into a map found in students' textbooks? Ever want to use a web-based map to bring that static, print map to life? Maybe the map would be better with interactive or near real-time data. This article discusses the new Earth Science GeoInquiries! Earth Science GeoInquiries from Esri are instructional resources…

id_wtimor_50mwind

Science.gov Websites

. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 12, datum WGS Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this

neweng_wpc50_poly

Science.gov Websites

development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify appears in all copies of the data. Further, the user of this data agrees to credit NREL in any

CT_50m_Wind

Science.gov Websites

development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify appears in all copies of the data. Further, the user of this data agrees to credit NREL in any

great_lakes_90mwindspeed_off

Science.gov Websites

MesoMap system and historical weather data. This shapefile was generated from raster datasets with a 200 m , LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without any , provided that this entire notice appears in all copies of the data. Further, the user of this data agrees

RI_50m_Wind

Science.gov Websites

development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify appears in all copies of the data. Further, the user of this data agrees to credit NREL in any

pacific_coast_90mwindspeed_off

Science.gov Websites

UTM zone 11, datum WGS 84. The shapefile was generated from these raster datasets and then projected of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any

cenam_50mwind

Science.gov Websites

. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 12, datum WGS , LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without any , provided that this entire notice appears in all copies of the data. Further, the user of this data agrees

NH_50m_Wind

Science.gov Websites

development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify appears in all copies of the data. Further, the user of this data agrees to credit NREL in any

ga_50m_wind

Science.gov Websites

development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify appears in all copies of the data. Further, the user of this data agrees to credit NREL in any

MA_50m_Wind

Science.gov Websites

development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify appears in all copies of the data. Further, the user of this data agrees to credit NREL in any

IA_50m_Wind

Science.gov Websites

development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify appears in all copies of the data. Further, the user of this data agrees to credit NREL in any

Tularosa Basin Play Fairway Analysis: Water Chemistry

DOE Data Explorer

Adam Brandt

2015-12-15

This shapefile contains 409 well data points on Tularosa Basin Water Chemistry, each of which have a location (UTM), temperature, quartz and Potassium/Magnesium geothermometer; as well as concentrations of chemicals like Mn, Fe, Ba, Sr, Cs, Rb, As, NH4, HCO3, SO4, F, Cl, B, SiO2, Mg, Ca, K, Na, and Li.

Roosevelt Hot Springs, Utah FORGE Regional Well Locations

DOE Office of Scientific and Technical Information (OSTI.GOV)

Nash, Greg

This archive contains a GIS point feature shapefile that shows the locations of wells in the general region of the Utah FORGE project, near Roosevelt Hot Springs. This includes Utah FORGE deep well 58-32 and wells for which data has been uploaded to the Geothermal Data Repository. The attribute table has a field that contains well names.

Using ESRI Online Mapping Tools to Support STEM Learning through Analysis of the Impact of Land Use/Land Cover Change on Water Quality

NASA Astrophysics Data System (ADS)

Powley, C.; Alian, S.; Mayer, A.

2017-12-01

In the 2004 National Water Quality Report to the Congress, the US EPA states that about 44% of the streams, 64% of lakes and 30% of estuaries that were assessed were not suitable for basic use like fishing and swimming. Pollutants from nonpoint sources are most likely the cause. The needs of landowners to use their land for other uses is enormous and most are likely willing to forgo the potential damage to achieve monetary gains. These are difficult decisions as there are many positive gains in commercialized development, although this comes with a cost. So it is imperative for all entities to work together in developing an awareness that benefits all stakeholders. We used this water quality management context to prepare lessons for high school students to map water quality problem areas in Rifle River and the West Branch in Ogemaw County, Michigan based on field samples and by using ESRI online data entry and mapping tools. The students also used Long Term Hydrologic Impact Analysis (L-THIA) to evaluate the impacts of different land use/cover types, developing an understanding of the implication of land management on surface water quality.

Data in the Classroom: New Tools for Engaging Students with Data

NASA Astrophysics Data System (ADS)

Dean, A.; Pisut, D.

2017-12-01

The ability to understand and analyze data effectively can increase students ability to understand current and historical global change. Since 2009, NOAA Data in the Classroom Project has been offering formal education resources and tools aimed at helping teachers to build data and environmental literacy in their classrooms. Currently, NOAA is modernizing its Data in the Classroom resources using a web application within Esri's web-based GIS platform, Story Maps. Story Maps have been used for a wide variety of purposes, including teaching and instruction, for more than a decade. This technology can help to engage students in a story, like El Niño, while harnessing the power of data - using maps, data visualizations and data query tools. The aim is to create an effective education tool that allows students access to user-friendly, relevant data sets from NOAA, ultimately providing the opportunity to explore dynamic Earth processes and understand the impact of environmental events on a regional or global scale. This presentation will include demonstrations of the recently launched web-based curricular modules, highlighting the Esri web technology used to build and distribute each module and the interactive data tools that are unique to this project.

Insights into Inverse Materials Design from Phase Transitions in Shape Space

NASA Astrophysics Data System (ADS)

Cersonsky, Rose; van Anders, Greg; Dodd, Paul M.; Glotzer, Sharon C.

In designing new materials for synthesis, the inverse materials design approach posits that, given a structure, we can predict a building block optimized for self- assembly. How does that building block change as pressure is varied to maintain the same crystal structure? We address this question for entropically stabilized colloidal crystals by working in a generalized statistical thermodynamic ensemble where an alchemical potential variable is fixed and its conjugate variable, particle shape, is allowed to fluctuate. We show that there are multiple regions of shape behavior and phase transitions in shape space between these regions. Furthermore, while past literature has looked towards packing arguments for proposing shape-filling candidate building blocks for structure formation, we show that even at very high pressures, a structure will attain lowest free energy by modifying these space-filling shapes. U.S. Army Research Office under Grant Award No. W911NF-10-1-0518, Emerging Frontiers in Research and Innovation Award EFRI-1240264, National Science Foundation Grant Number ACI- 1053575, XSEDE award DMR 140129, Rackham Merit Fellowship Program.

A client-server software for the identification of groundwater vulnerability to pesticides at regional level.

PubMed

Di Guardo, Andrea; Finizio, Antonio

2015-10-15

The groundwater VULnerability to PESticide software system (VULPES) is a user-friendly, GIS-based and client-server software developed to identify vulnerable areas to pesticides at regional level making use of pesticide fate models. It is a Decision Support System aimed to assist the public policy makers to investigate areas sensitive to specific substances and to propose limitations of use or mitigation measures. VULPES identify the so-called Uniform Geographical Unit (UGU) which are areas characterised by the same agro-environmental conditions. In each UGU it applies the PELMO model obtaining the 80th percentile of the substance concentration at 1 metre depth; then VULPES creates a vulnerability map in shapefile format which classifies the outputs comparing them with the lower threshold set to the legal limit concentration in groundwater (0.1 μg/l). This paper describes the software structure in details and a case study with the application of the terbuthylazine herbicide on the Lombardy region territory. Three zones with different degrees of vulnerabilities has been identified and described. Copyright © 2015 Elsevier B.V. All rights reserved.

GDA (Geologic Data Assistant), an ArcPad extension for geologic mapping: code, prerequisites, and instructions

USGS Publications Warehouse

,

2006-01-01

GDA (Geologic Data Assistant) is an extension to ArcPad, a mobile mapping software program by Environmental Systems Research Institute (ESRI) designed to run on personal digital assistant (PDA) computers. GDA and ArcPad allow a PDA to replace the paper notebook and field map traditionally used for geologic mapping. GDA allows easy collection of field data.

Big Data Geo-Analytical Tool Development for Spatial Analysis Uncertainty Visualization and Quantification Needs

NASA Astrophysics Data System (ADS)

Rose, K.; Bauer, J. R.; Baker, D. V.

2015-12-01

As big data computing capabilities are increasingly paired with spatial analytical tools and approaches, there is a need to ensure uncertainty associated with the datasets used in these analyses is adequately incorporated and portrayed in results. Often the products of spatial analyses, big data and otherwise, are developed using discontinuous, sparse, and often point-driven data to represent continuous phenomena. Results from these analyses are generally presented without clear explanations of the uncertainty associated with the interpolated values. The Variable Grid Method (VGM) offers users with a flexible approach designed for application to a variety of analyses where users there is a need to study, evaluate, and analyze spatial trends and patterns while maintaining connection to and communicating the uncertainty in the underlying spatial datasets. The VGM outputs a simultaneous visualization representative of the spatial data analyses and quantification of underlying uncertainties, which can be calculated using data related to sample density, sample variance, interpolation error, uncertainty calculated from multiple simulations. In this presentation we will show how we are utilizing Hadoop to store and perform spatial analysis through the development of custom Spark and MapReduce applications that incorporate ESRI Hadoop libraries. The team will present custom 'Big Data' geospatial applications that run on the Hadoop cluster and integrate with ESRI ArcMap with the team's probabilistic VGM approach. The VGM-Hadoop tool has been specially built as a multi-step MapReduce application running on the Hadoop cluster for the purpose of data reduction. This reduction is accomplished by generating multi-resolution, non-overlapping, attributed topology that is then further processed using ESRI's geostatistical analyst to convey a probabilistic model of a chosen study region. Finally, we will share our approach for implementation of data reduction and topology generation via custom multi-step Hadoop applications, performance benchmarking comparisons, and Hadoop-centric opportunities for greater parallelization of geospatial operations. The presentation includes examples of the approach being applied to a range of subsurface, geospatial studies (e.g. induced seismicity risk).

Low-Temperature Hydrothermal Resource Potential

DOE Data Explorer

Katherine Young

2016-06-30

Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessible resource base, mean extractable resource and beneficial heat. Data compiled from USGS and other sources. The paper (submitted to GRC 2016) describing the methodology and analysis is also included.

77 FR 15369 - Mobility Fund Phase I Auction GIS Data of Potentially Eligible Census Blocks

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-15

....fcc.gov/auctions/901/ , are the following: Downloadable shapefile Web mapping service MapBox map tiles... GIS software allows you to add this service as a layer to your session or project. 6. MapBox map tiles are cached map tiles of the data. With this open source software approach, these image tiles can be...

McGee Mountain Geoprobe Survey, Humboldt County, Nevada

DOE Data Explorer

Richard Zehner

2010-01-01

This shapefile contains location and attribute data for a Geoprobe temperature survey conducted by Geothermal Technical Partners, Inc. during 2010. The purpose of direct push technology (“DPT”) probe activity at the McGee Mtn. Project, Nevada was to 1) determine bottom hole temperatures using nominal 1.5 inch probe tooling to place resistance temperature detectors (“RTD”) and 2) take water samples, if possible, to characterize the geothermometry of the system. A total of 23 holes were probed in five days for a cumulative total of 857.5 ft. at 21 sites at McGee Mountain. The probed holes ranged in depth from a maximum of 75 ft to a minimum of 10 ft and averaged 37.3ft. The average temperature of the 23 holes was 18.9⁰C, with a range of 12.0⁰C at site MMTG#1b to 42.0⁰C at site MMTG#19. . No water was encountered in any of the probed holes, with the exception of MMTG#10, and no water was collected for sampling. Zip file containing Arcview shapefile in UTM11 NAD83 projection. 5kb file size.

USGS compilation of geographic information system (GIS) data representing coal mines and coal-bearing areas in China

USGS Publications Warehouse

Trippi, Michael H.; Belkin, Harvey E.; Dai, Shifeng; Tewalt, Susan J.; Chou, Chiu-Jung; Trippi, Michael H.; Belkin, Harvey E.; Dai, Shifeng; Tewalt, Susan J.; Chou, Chiu-Jung

2015-01-01

Geographic information system (GIS) information may facilitate energy studies, which in turn provide input for energy policy decisions. The U.S. Geological Survey (USGS) has compiled geographic information system (GIS) data representing the known coal mine locations and coal-mining areas of China as of 2001. These data are now available for download, and may be used in a GIS for a variety of energy resource and environmental studies of China. Province-scale maps were also created to display the point locations of coal mines and the coal-mining areas. In addition, coal-field outlines from a previously published map by Dai and others (2012) were also digitized and are available for download as a separate GIS data file, and shown in a nation-scale map of China. Chemical data for 332 coal samples from a previous USGS study of China and Taiwan (Tewalt and others, 2010) are included in a downloadable GIS point shapefile, and shown on a nation-scale map of China. A brief report summarizes the methodology used for creation of the shapefiles and the chemical analyses run on the samples.

Lake Mohave Geophysical Survey 2002: GIS Data Release

USGS Publications Warehouse

Cross, VeeAnn A.; Foster, David S.; Twichell, David C.

2005-01-01

This CD-ROM contains sidescan-sonar imagery, sub-bottom reflection profiles, and an interpretive map derived from these data. These data were collected in Lake Mohave, a reservoir behind the Davis Dam and below the Hoover Dam on the Colorado River. These data are veiwable within an Environmental system Research Institute, Inc. (ESRI) Geographic Information system (GIS) ArcView 3.2 project file stored on this CD-ROM

Improving Research Methods for the Study of Geography and Mental Health: Utilization of Social Networking Data and the ESRI GeoEvent Processor

ERIC Educational Resources Information Center

McLaughlin, Courtney L.

2017-01-01

The purpose of this article is to review the literature on geography and mental health, report on a case example using new methods for studying this topic, and provide recommendations for future research. Over 25 years ago, Holley (1988) conducted a review of the literature on geography and mental health and astutely stated, "… it is…

The evolution of internet-based map server applications in the United States Department of Agriculture, Veterinary Services.

PubMed

Maroney, Susan A; McCool, Mary Jane; Geter, Kenneth D; James, Angela M

2007-01-01

The internet is used increasingly as an effective means of disseminating information. For the past five years, the United States Department of Agriculture (USDA) Veterinary Services (VS) has published animal health information in internet-based map server applications, each oriented to a specific surveillance or outbreak response need. Using internet-based technology allows users to create dynamic, customised maps and perform basic spatial analysis without the need to buy or learn desktop geographic information systems (GIS) software. At the same time, access can be restricted to authorised users. The VS internet mapping applications to date are as follows: Equine Infectious Anemia Testing 1972-2005, National Tick Survey tick distribution maps, the Emergency Management Response System-Mapping Module for disease investigations and emergency outbreaks, and the Scrapie mapping module to assist with the control and eradication of this disease. These services were created using Environmental Systems Research Institute (ESRI)'s internet map server technology (ArcIMS). Other leading technologies for spatial data dissemination are ArcGIS Server, ArcEngine, and ArcWeb Services. VS is prototyping applications using these technologies, including the VS Atlas of Animal Health Information using ArcGIS Server technology and the Map Kiosk using ArcEngine for automating standard map production in the case of an emergency.

Low-Temperature Hydrothermal Resource Potential Estimate

DOE Data Explorer

Katherine Young

2016-06-30

Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessible resource base, mean extractable resource and beneficial heat. Data compiled from USGS and other sources. The paper (submitted to GRC 2016) describing the methodology and analysis is also included.

US Low-Temperature EGS Resource Potential Estimate

DOE Data Explorer

Katherine Young

2016-06-30

Shapefile of shallow, low-temperature EGS resources for the United States, and accompanying paper (submitted to GRC 2016) describing the methodology and analysis. These data are part of a very rough estimate created for use in the U.S. Department of Energy Geothermal Technology Office's Vision Study. They are not a robust estimate of low-temperature EGS resources in the U.S, and should be used accordingly.

Roosevelt Hot Springs, Utah FORGE X-Ray Diffraction Data

DOE Data Explorer

Nash, Greg; Jones, Clay

2018-02-07

This dataset contains X-ray diffraction (XRD) data taken from wells and outcrops as part of the DOE GTO supported Utah FORGE project located near Roosevelt Hot Springs. It contains an Excel spreadsheet with the XRD data, a text file with sample site names, types, and locations in UTM, Zone 12, NAD83 coordinates, and a GIS shapefile of the sample locations with attributes.

Great Basin NV Play Fairway Analysis - Carson Sink

DOE Data Explorer

Jim Faulds

2015-10-28

All datasets and products specific to the Carson Sink Basin. Includes a packed ArcMap (.mpk), individually zipped shapefiles, and a file geodatabase for the Carson Sink area; a GeoSoft Oasis montaj project containing GM-SYS 2D gravity profiles along the trace of our seismic reflection lines; a 3D model in EarthVision; spreadsheet of links to published maps; and spreadsheets of well data.

NV PFA - Steptoe Valley

DOE Data Explorer

Jim Faulds

2015-10-29

All datasets and products specific to the Steptoe Valley model area. Includes a packed ArcMap project (.mpk), individually zipped shapefiles, and a file geodatabase for the northern Steptoe Valley area; a GeoSoft Oasis montaj project containing GM-SYS 2D gravity profiles along the trace of our seismic reflection lines; a 3D model in EarthVision; spreadsheet of links to published maps; and spreadsheets of well data.

Geologic Basin Boundaries (Basins_GHGRP) GIS Layer

EPA Pesticide Factsheets

This is a coverage shapefile of geologic basin boundaries which are used by EPA's Greenhouse Gas Reporting Program. For onshore production, the facility includes all emissions associated with wells owned or operated by a single company in a specific hydrocarbon producing basin (as defined by the geologic provinces published by the American Association of Petroleum Geologists). This layer is limited to the contiguous United States.

The Citizen-Scientist as Data Collector: GLOBE at Night, Part 1

NASA Astrophysics Data System (ADS)

Ward, D. L.; Henderson, S.; Meymaris, K.; Walker, C.; Pompea, S. M.; Gallagher, S.; Salisbury, D.

2006-12-01

GLOBE at Night is an international science event designed to observe and record the visible stars as a means of measuring light pollution in a given location. Increased and robust understanding of our environment requires learning opportunities that take place outside of the conventional K-12 classroom and beyond the confines of the school day. This hands-on learning activity extended the traditional classroom and school day through 11 nights last March, when 18,000 citizen-scientists made over 4,500 observations from 96 countries. Utilizing the international networking capabilities of The GLOBE Program, GLOBE at Night was designed to make data collection and input user-friendly. Citizen-scientists were able to participate in this global scientific campaign by submitting their observations through an online database, allowing for authentic worldwide research and analysis by participating scientists. The data collected is available online in a variety of formats for use by students, teachers and scientists worldwide to assess how the quality of the night sky varies around the world. Using the online analysis tools provided by ESRI, participants were able to compare the observed data with population density and nighttime lighting datasets (DMSP Earth at Night). This comparison allowed correlations between observed data patterns and commonly used indices of population density and energy usage. This session will share our results and demonstrate how students and scientists across the globe can explore and analyze the results of this exciting campaign. We will discuss how the project team planned and executed the project in such a way that non-astronomers were able to make valid and useful contributions. We will also discuss lessons learned and best practices based on the 2006 campaign. GLOBE at Night is a collaborative effort sponsored by The GLOBE Program, the National Optical Astronomy Observatory (NOAO), Centro de Apoyo a la Didactica de la Astronomia (CADIAS), Windows to the Universe, and ESRI. The GLOBE Program is an international inquiry-based program designed to engage teachers with their students in partnership with research scientists to better understand the environment at local, regional, and global scales. The GLOBE Program is managed by the University Corporation for Atmospheric Research and Colorado State University with funding from NASA, NSF, and the U.S. Department of State.

Web processing service for landslide hazard assessment

NASA Astrophysics Data System (ADS)

Sandric, I.; Ursaru, P.; Chitu, D.; Mihai, B.; Savulescu, I.

2012-04-01

Hazard analysis requires heavy computation and specialized software. Web processing services can offer complex solutions that can be accessed through a light client (web or desktop). This paper presents a web processing service (both WPS and Esri Geoprocessing Service) for landslides hazard assessment. The web processing service was build with Esri ArcGIS Server solution and Python, developed using ArcPy, GDAL Python and NumPy. A complex model for landslide hazard analysis using both predisposing and triggering factors combined into a Bayesian temporal network with uncertainty propagation was build and published as WPS and Geoprocessing service using ArcGIS Standard Enterprise 10.1. The model uses as predisposing factors the first and second derivatives from DEM, the effective precipitations, runoff, lithology and land use. All these parameters can be served by the client from other WFS services or by uploading and processing the data on the server. The user can select the option of creating the first and second derivatives from the DEM automatically on the server or to upload the data already calculated. One of the main dynamic factors from the landslide analysis model is leaf area index. The LAI offers the advantage of modelling not just the changes from different time periods expressed in years, but also the seasonal changes in land use throughout a year. The LAI index can be derived from various satellite images or downloaded as a product. The upload of such data (time series) is possible using a NetCDF file format. The model is run in a monthly time step and for each time step all the parameters values, a-priory, conditional and posterior probability are obtained and stored in a log file. The validation process uses landslides that have occurred during the period up to the active time step and checks the records of the probabilities and parameters values for those times steps with the values of the active time step. Each time a landslide has been positive identified new a-priory probabilities are recorded for each parameter. A complete log for the entire model is saved and used for statistical analysis and a NETCDF file is created and it can be downloaded from the server with the log file

Geologic map of the Fifteenmile Valley 7.5' quadrangle, San Bernardino County, California

USGS Publications Warehouse

Miller, F.K.; Matti, J.C.

2001-01-01

Open-File Report OF 01-132 contains a digital geologic map database of the Fifteenmile Valley 7.5’ quadrangle, San Bernardino County, California that includes: 1. ARC/INFO (Environmental Systems Research Institute, http://www.esri.com) version 7.2.1 coverages of the various elements of the geologic map. 2. A PostScript file to plot the geologic map on a topographic base, and containing a Correlation of Map Units diagram, a Description of Map Units, an index map, and a regional structure map. 3. Portable Document Format (.pdf) files of: a. This Readme; includes in Appendix I, data contained in fif_met.txt b. The same graphic as plotted in 2 above. (Test plots have not produced 1:24,000-scale map sheets. Adobe Acrobat pagesize setting influences map scale.) The Correlation of Map Units (CMU) and Description of Map Units (DMU) is in the editorial format of USGS Miscellaneous Investigations Series (I-series) maps. Within the geologic map data package, map units are identified by standard geologic map criteria such as formation-name, age, and lithology. Even though this is an author-prepared report, every attempt has been made to closely adhere to the stratigraphic nomenclature of the U. S. Geological Survey. Descriptions of units can be obtained by viewing or plotting the .pdf file (3b above) or plotting the postscript file (2 above). If roads in some areas, especially forest roads that parallel topographic contours, do not show well on plots of the geologic map, we recommend use of the USGS Fifteenmile Valley 7.5’ topographic quadrangle in conjunction with the geologic map.

Moderate-resolution sea surface temperature data for the nearshore North Pacific

USGS Publications Warehouse

Payne, Meredith C.; Reusser, Deborah A.; Lee, Henry; Brown, Cheryl A.

2011-01-01

Coastal sea surface temperature (SST) is an important environmental characteristic in determining the suitability of habitat for nearshore marine and estuarine organisms. This publication describes and provides access to an easy-to-use coastal SST dataset for ecologists, biogeographers, oceanographers, and other scientists conducting research on nearshore marine habitats or processes. The data cover the Temperate Northern Pacific Ocean as defined by the 'Marine Ecosystems of the World' (MEOW) biogeographic schema developed by The Nature Conservancy. The spatial resolution of the SST data is 4-km grid cells within 20 km of the shore. The data span a 29-year period - from September 1981 to December 2009. These SST data were derived from Advanced Very High Resolution Radiometer (AVHRR) instrument measurements compiled into monthly means as part of the Pathfinder versions 5.0 and 5.1 (PFSST V50 and V51) Project. The processing methods used to transform the data from their native Hierarchical Data Format Scientific Data Set (HDF SDS) to georeferenced, spatial datasets capable of being read into geographic information systems (GIS) software are explained. In addition, links are provided to examples of scripts involved in the data processing steps. The scripts were written in the Python programming language, which is supported by ESRI's ArcGIS version 9 or later. The processed data files are also provided in text (.csv) and Access 2003 Database (.mdb) formats. All data except the raster files include attributes identifying realm, province, and ecoregion as defined by the MEOW classification schema.

Integrated Multibeam and LIDAR Bathymetry Data Offshore of New London and Niantic, Connecticut

USGS Publications Warehouse

Poppe, L.J.; Danforth, W.W.; McMullen, K.Y.; Parker, Castle E.; Lewit, P.G.; Doran, E.F.

2010-01-01

Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and resource management communities because of their ecological, recreational, and commercial importance. Although advances in multibeam echosounder technology permit the construction of high-resolution representations of sea-floor topography in deeper waters, limitations inherent in collecting fixed-angle multibeam data make using this technology in shallower waters (less than 10 meters deep) difficult and expensive. These limitations have often resulted in data gaps between areas for which multibeam bathymetric datasets are available and the adjacent shoreline. To address this problem, the geospatial data sets released in this report seamlessly integrate complete-coverage multibeam bathymetric data acquired off New London and Niantic Bay, Connecticut, with hydrographic Light Detection and Ranging (LIDAR) data acquired along the nearshore. The result is a more continuous sea floor representation and a much smaller gap between the digital bathymetric data and the shoreline than previously available. These data sets are provided online and on CD-ROM in Environmental Systems Research Institute (ESRI) raster-grid and GeoTIFF formats in order to facilitate access, compatibility, and utility.

2010 bathymetric survey and digital elevation model of Corte Madera Bay, California

USGS Publications Warehouse

Foxgrover, Amy C.; Finlayson, David P.; Jaffe, Bruce E.; Takekawa, John Y.; Thorne, Karen M.; Spragens, Kyle A.

2011-01-01

A high-resolution bathymetric survey of Corte Madera Bay, California, was collected in early 2010 in support of a collaborative research project initiated by the San Francisco Bay Conservation and Development Commission and funded by the U.S. Environmental Protection Agency. The primary objective of the Innovative Wetland Adaptation in the Lower Corte Madera Creek Watershed Project is to develop shoreline adaptation strategies to future sea-level rise based upon sound science. Fundamental to this research was the development of an of an up-to-date, high-resolution digital elevation model (DEM) extending from the subtidal environment through the surrounding intertidal marsh. We provide bathymetric data collected by the U.S. Geological Survey and have merged the bathymetry with a 1-m resolution aerial lidar data set that was collected by the National Oceanic and Atmospheric Administration during the same time period to create a seamless, high-resolution DEM of Corte Madera Bay and the surrounding topography. The bathymetric and DEM surfaces are provided at both 1 m and 10 m resolutions formatted as both X, Y, Z text files and ESRI Arc ASCII files, which are accompanied by Federal Geographic Data Committee compliant metadata.

High-Resolution Digital Terrain Models of the Sacramento/San Joaquin Delta Region, California

USGS Publications Warehouse

Coons, Tom; Soulard, Christopher E.; Knowles, Noah

2008-01-01

The U.S. Geological Survey (USGS) Western Region Geographic Science Center, in conjunction with the USGS Water Resources Western Branch of Regional Research, has developed a high-resolution elevation dataset covering the Sacramento/San Joaquin Delta region of California. The elevation data were compiled photogrammically from aerial photography (May 2002) with a scale of 1:15,000. The resulting dataset has a 10-meter horizontal resolution grid of elevation values. The vertical accuracy was determined to be 1 meter. Two versions of the elevation data are available: the first dataset has all water coded as zero, whereas the second dataset has bathymetry data merged with the elevation data. The projection of both datasets is set to UTM Zone 10, NAD 1983. The elevation data are clipped into files that spatially approximate 7.5-minute USGS quadrangles, with about 100 meters of overlap to facilitate combining the files into larger regions without data gaps. The files are named after the 7.5-minute USGS quadrangles that cover the same general spatial extent. File names that include a suffix (_b) indicate that the bathymetry data are included (for example, sac_east versus sac_east_b). These files are provided in ESRI Grid format.

Building simplification algorithms based on user cognition in mobile environment

NASA Astrophysics Data System (ADS)

Shen, Jie; Shi, Junfei; Wang, Meizhen; Wu, Chenyan

2008-10-01

With the development of LBS, mobile map should adaptively satisfy the cognitive requirement of user. User cognition in mobile environment is much more objective oriented and also seem to be a heavier burden than the user in static environment. The holistic idea and methods of map generalization can not fully suitable for the mobile map. This paper took the building simplification in habitation generalization as example, analyzed the characteristic of user cognition in mobile environment and the basic rules of building simplification, collected and studied the state-of-the-art of algorithms of building simplification in the static and mobile environment, put forward the idea of hierarchical building simplification based on user cognition. This paper took Hunan road business district of Nanjing as test area and took the building data with shapfile format of ESRI as test data and realized the simplification algorithm. The method took user as center, calculated the distance between user and the building which will be simplified and took the distance as the basis for choosing different simplification algorithm for different spaces. This contribution aimed to hierarchically present the building in different level of detail by real-time simplification.

EPA Facilities and Regional Boundaries Download Package, US, 2012, US EPA, SEGS

EPA Pesticide Factsheets

This downloadable package contains the following layers: EPA facility points, EPA region boundary polygons and EPA region boundary polygons extended to the 200nm Exclusive Economic Zone (EEZ). Included in this package are a file geodatabase (v. 10.0), Esri ArcMap map document (v. 10.0) and XML files for this record and the layer level metadata. This SEGS dataset was produced by EPA Office of Environmental Information (OEI).

EPA Facility Locations and Regional Boundaries - National Geospatial Data Asset (NGDA)

EPA Pesticide Factsheets

This downloadable package contains the following layers: EPA facility points, EPA region boundary polygons and EPA region boundary polygons extended to the 200nm Exclusive Economic Zone (EEZ). Included in this package are a file geodatabase (v. 10.0), Esri ArcMap map document (v. 10.0) and XML files for this record and the layer level metadata. This dataset was produced by EPA Office of Environmental Information (OEI).

Design and Evaluation of the MINTACS SeeTrack Exchange (MINSTE) Concept Demonstrator

DTIC Science & Technology

2009-04-01

software products . URL - http://www.esri.com/ 3 The Technical Cooperation Program (TTCP) is an international organisation that collaborates in defence...off-the-shelf (COTS) products . This provides a basis for implementing interoperability across application, vendor and organisation boundaries. XML...Network a suite of data analysis tools, such as ArcGIS products : 15 DSTO-GD-0574 “…represents a great opportunity for the bringing together of a COP

Storm Prediction Center May 27, 2018 1730 UTC Day 2 Convective Outlook

Science.gov Websites

services. < Day 1 Outlook Day 3 Outlook > May 27, 2018 1730 UTC Day 2 Convective Outlook Updated: Sun May 27 17:24:17 UTC 2018 (Print Version | 20180527 1730Z Day 2 shapefile | 20180527 1730Z Day JavaScript/Active Scripting. Forecast Discussion SPC AC 271724 Day 2 Convective Outlook NWS Storm Prediction

Storm Prediction Center May 28, 2018 0100 UTC Day 1 Convective Outlook

Science.gov Websites

services. Day 2 Outlook > May 28, 2018 0100 UTC Day 1 Convective Outlook Updated: Mon May 28 01:01:01 UTC 2018 (Print Version | 20180528 0100Z Day 1 shapefile | 20180528 0100Z Day 1 KML ) Probabilistic to . Forecast Discussion SPC AC 280101 Day 1 Convective Outlook NWS Storm Prediction Center Norman OK 0801 PM

Data collected to support monitoring of constructed emergent sandbar habitat on the Missouri River downstream from Gavins Point Dam, South Dakota and Nebraska, 2004-06

USGS Publications Warehouse

Thompson, Ryan F.; Johnson, Michaela R.; Andersen, Michael J.

2007-01-01

The U.S. Army Corps of Engineers has constructed emergent sandbar habitat on sections of the Missouri River bordering South Dakota and Nebraska downstream from Gavins Point Dam to create and enhance habitat for threatened and endangered bird species. Two areas near river miles 761.3 and 769.8 were selected for construction of emergent sandbar habitat. Pre- and postconstruction data were collected by the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, to evaluate the success of the habitat management techniques. Data collected include pre- and postconstruction channel-geometry data (bathymetric and topographic) for areas upstream from, downstream from, and within each construction site. Water-velocity data were collected for selected parts of the site near river mile 769.8. Instruments and methods used in data collection, as well as quality-assurance and quality-control measures, are described. Geospatial channel-geometry data are presented for transects of the river channel as cross sections and as geographical information system shapefiles. Geospatial land-surface elevation data are provided for part of each site in the form of a color-shaded relief map. Geospatial water-velocity data also are provided as color-shaded maps and geographical information system shapefiles.

Geographic Information for Analysis of Highway Runoff-Quality Data on a National or Regional Scale in the Conterminous United States

USGS Publications Warehouse

Smieszek, Tomas W.; Granato, Gregory E.

2000-01-01

Spatial data are important for interpretation of water-quality information on a regional or national scale. Geographic information systems (GIS) facilitate interpretation and integration of spatial data. The geographic information and data compiled for the conterminous United States during the National Highway Runoff Water-Quality Data and Methodology Synthesis project is described in this document, which also includes information on the structure, file types, and the geographic information in the data files. This 'geodata' directory contains two subdirectories, labeled 'gisdata' and 'gisimage.' The 'gisdata' directory contains ArcInfo coverages, ArcInfo export files, shapefiles (used in ArcView), Spatial Data Transfer Standard Topological Vector Profile format files, and meta files in subdirectories organized by file type. The 'gisimage' directory contains the GIS data in common image-file formats. The spatial geodata includes two rain-zone region maps and a map of national ecosystems originally published by the U.S. Environmental Protection Agency; regional estimates of mean annual streamflow, and water hardness published by the Federal Highway Administration; and mean monthly temperature, mean annual precipitation, and mean monthly snowfall modified from data published by the National Climatic Data Center and made available to the public by the Oregon Climate Service at Oregon State University. These GIS files were compiled for qualitative spatial analysis of available data on a national and(or) regional scale and therefore should be considered as qualitative representations, not precise geographic location information.

Interoperability In The New Planetary Science Archive (PSA)

NASA Astrophysics Data System (ADS)

Rios, C.; Barbarisi, I.; Docasal, R.; Macfarlane, A. J.; Gonzalez, J.; Arviset, C.; Grotheer, E.; Besse, S.; Martinez, S.; Heather, D.; De Marchi, G.; Lim, T.; Fraga, D.; Barthelemy, M.

2015-12-01

As the world becomes increasingly interconnected, there is a greater need to provide interoperability with software and applications that are commonly being used globally. For this purpose, the development of the new Planetary Science Archive (PSA), by the European Space Astronomy Centre (ESAC) Science Data Centre (ESDC), is focused on building a modern science archive that takes into account internationally recognised standards in order to provide access to the archive through tools from third parties, for example by the NASA Planetary Data System (PDS), the VESPA project from the Virtual Observatory of Paris as well as other international institutions. The protocols and standards currently being supported by the new Planetary Science Archive at this time are the Planetary Data Access Protocol (PDAP), the EuroPlanet-Table Access Protocol (EPN-TAP) and Open Geospatial Consortium (OGC) standards. The architecture of the PSA consists of a Geoserver (an open-source map server), the goal of which is to support use cases such as the distribution of search results, sharing and processing data through a OGC Web Feature Service (WFS) and a Web Map Service (WMS). This server also allows the retrieval of requested information in several standard output formats like Keyhole Markup Language (KML), Geography Markup Language (GML), shapefile, JavaScript Object Notation (JSON) and Comma Separated Values (CSV), among others. The provision of these various output formats enables end-users to be able to transfer retrieved data into popular applications such as Google Mars and NASA World Wind.

Cartographic Production for the FLaSH Map Study: Generation of Rugosity Grids, 2008

USGS Publications Warehouse

Robbins, Lisa L.; Knorr, Paul O.; Hansen, Mark

2010-01-01

Project Summary This series of raster data is a U.S. Geological Survey (USGS) Data Series release from the Florida Shelf Habitat Project (FLaSH). This disc contains two raster images in Environmental Systems Research Institute, Inc. (ESRI) raster grid format, jpeg image format, and Geo-referenced Tagged Image File Format (GeoTIFF). Data is also provided in non-image ASCII format. Rugosity grids at two resolutions (250 m and 1000 m) were generated for West Florida shelf waters to 250 m using a custom algorithm that follows the methods of Valentine and others (2004). The Methods portion of this document describes the specific steps used to generate the raster images. Rugosity, also referred to as roughness, ruggedness, or the surface-area ratio (Riley and others, 1999; Wilson and others, 2007), is a visual and quantitative measurement of terrain complexity, a common variable in ecological habitat studies. The rugosity of an area can affect biota by influencing habitat, providing shelter from elements, determining the quantity and type of living space, influencing the type and quantity of flora, affecting predator-prey relationships by providing cover and concealment, and, as an expression of vertical relief, can influence local environmental conditions such as temperature and moisture. In the marine environment rugosity can furthermore influence current flow rate and direction, increase the residence time of water in an area through eddying and current deflection, influence local water conditions such as chemistry, turbidity, and temperature, and influence the rate and nature of sedimentary deposition. State-of-the-art computer-mapping techniques and data-processing tools were used to develop shelf-wide raster and vector data layers. Florida Shelf Habitat (FLaSH) Mapping Project (http://coastal.er.usgs.gov/flash) endeavors to locate available data, identify data gaps, synthesize existing information, and expand our understanding of geologic processes in our dynamic coastal and marine systems.

Recharge Data for the Islands of Kauai, Lanai and Molokai, Hawaii

DOE Data Explorer

Nicole Lautze

2015-01-01

Recharge data for the islands of Kauai, Lanai and Molokai in shapefile format. These data are from the following sources: Whittier, R.B and A.I. El-Kadi. 2014. Human Health and Environmental Risk Ranking of On-Site Sewage Disposal systems for the Hawaiian Islands of Kauai, Molokai, Maui, and Hawaii – Final, Prepared for Hawaii Dept. of Health, Safe Drinking Water Branch by the University of Hawaii, Dept. of Geology and Geophysics. (for Kauai, Lanai, Molokai). Shade, P.J., 1995, Water Budget for the Island of Kauai, Hawaii, USGS Water-Resources Investigations Report 95-4128, 25 p. (for Kauai). Izuka, S.K. and D.S. Oki, 2002 Numerical simulation of ground-water withdrawals in the Southern Lihue Basin, Kauai, Hawaii, U.S. Geologic Survey Water-Resources Investigations Report 01-4200, 52 pgs. (for Kauai). Hardy, W.R., 1996, A Numerical Groundwater Model for the Island of Lanai, Hawaii - CWRM Report No., CWRM-1, Commission on Water Resources Management, Department of Natural Resources, State of Hawaii, Honolulu, HI. (for Lanai). Oki, D.S., 1997, Geohydrology and numerical Simulation of the Ground-Water Flow System of Molokai, Hawaii, USGS Water-Resources Investigations Report 97-4176, 62 p. (for Molokai).

Megasite Management Tool (mmt): a Decision Support System Built Using Mapwindow Activex Control

NASA Astrophysics Data System (ADS)

Pulsani, B. R.

2017-11-01

Megasite Management Tool (MMT) is planning and evaluation software for contaminated sites. Using different statistical modules, MMT produces maps which help decision makers in rehabilitating contaminated sites. The input data used by MMT is of geographic nature and exists as shapefile and raster format. As MMT is built using simple windows forms application, the objective of the study was to find a way to visualize geographic data and to allow the user to edit its attribute information. Therefore, the application requirement was to find GIS libraries which offer capabilities such as (1) map viewer with navigation tools (2) library to read/write geographic data and (3) software which allows free distribution of the developed components. A research on these requirements led to the discovery of MapWindow ActiveX components which not only offered these capabilities but also provided free and open source licensing options for redistribution. Although considerable amount of reports and publications exist on MMT, the major contribution provided by MapWindow libraries have been under played. The current study emphasises upon the contribution and advantages MapWindow ActiveX provides for incorporating GIS functionality to an already existing application. Similar components for other languages have also been reviewed.

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.

The National Assessment of Shoreline Change:A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the Sandy Shorelines of the California Coast

USGS Publications Warehouse

Hapke, Cheryl J.; Reid, David

2006-01-01

Introduction The Coastal and Marine Geology Program of the U.S. Geological Survey has generated a comprehensive data clearinghouse of digital vector shorelines and shoreline change rates for the sandy shoreline along the California open coast. These data, which are presented herein, were compiled as part of the U.S. Geological Survey's National Assessment of Shoreline Change Project. Beach erosion is a chronic problem along many open-ocean shores of the United States. As coastal populations continue to grow and community infrastructures are threatened by erosion, there is increased demand for accurate information including rates and trends of shoreline migration. There is also a critical need for shoreline change data that is consistent from one coastal region to another. One purpose of this work is to develop standard, repeatable methods for mapping and analyzing shoreline movement so that periodic, systematic, and internally consistent updates of shorelines and shoreline change rates can be made at a National Scale. This data compilation for open-ocean, sandy shorelines of the California coast is one in a series that already includes the Gulf of Mexico and the Southeast Atlantic Coast (Morton et al., 2004; Morton et al., 2005) and will eventually cover Washington, Oregon, and parts of Hawaii and Alaska. Short- and long-term shoreline change evaluations are determined by comparing the positions of three historical shorelines digitized from maps, with a modern shoreline derived from LIDAR (light detection and ranging) topographic surveys. Historical shorelines generally represent the following time-periods: 1850s-1880s, 1920s-1930s, and late 1940s-1970s. The most recent shoreline is from data collected between 1997 and 2002. Long-term rates of change are calculated by linear regression using all four shorelines. Short-term rates of change are end-point rate calculations using the two most recent shorelines. Please refer to our full report on shoreline change of the California coastline at http://pubs.usgs.gov/of/2006/1219/ for additional information regarding methods and results (Hapke et al., 2006). Data in this report are organized into downloadable layers by region (Northern, Central and Southern California) and are provided as vector datasets with metadata. Vector shorelines may represent a compilation of data from one or more sources and these sources are included in the dataset metadata. This project employs the Environmental Systems Research Institute's (ESRI) ArcGIS as it's GIS mapping tool and contains several data layers (shapefiles) that are used to create a geographic view of the California Coast. These vector data form a basemap comprised of polygon and line themes that include a U.S. coastline (1:80,000), U.S. cities, and state boundaries.

Final Environmental Assessment Addressing Construction of a Fitness Center at Beale Air Force Base, California

DTIC Science & Technology

2009-10-01

adverse impacts on geology and soils would be anticipated due to construction and demolition activities, such as grading, excavation, and...2, during construction and demolition activities would limit adverse impacts on geology and soils. Therefore, no long-term, adverse, direct or...20 99 113 70 70 99 65 70 20 Live Oak Loma Rica Tierra Buena Wheatland Lincoln Linda Marysville Olivehurst South Yuba City Yuba City Source: ESRI

geneGIS: Computational Tools for Spatial Analyses of DNA Profiles with Associated Photo-Identification and Telemetry Records of Marine Mammals

DTIC Science & Technology

2012-09-30

computational tools provide the ability to display, browse, select, filter and summarize spatio-temporal relationships of these individual-based...her research assistant at Esri, Shaun Walbridge, and members of the Marine Mammal Institute ( MMI ), including Tomas Follet and Debbie Steel. This...Genomics Laboratory, MMI , OSU. 4 As part of the geneGIS initiative, these SPLASH photo-identification records and the geneSPLASH DNA profiles

Testing Methods for Challenging the National Wetland Plant List: Using Tsuga canadensis (L.) Carr. (Eastern Hemlock) as a Case Study

DTIC Science & Technology

2017-07-01

ESRI (Nature Conservancy and Environmental Systems Research Institute). 1994. Field Methods . In Field Methods for Vegetation Mapping: United States...ER D C/ CR RE L TR -1 7- 9 Wetlands Regulatory Assistance Program (WRAP) Testing Methods for Challenging the National Wetland Plant List...Robert W. Lichvar and Jennifer J. Goulet July 2017 Approved for public release; distribution is unlimited. The U.S. Army Engineer Research

Utilizing Arc Marine Concepts for Designing a Geospatially Enabled Database to Support Rapid Environmental Assessment

DTIC Science & Technology

2009-07-01

data were recognized as being largely geospatial and thus a GIS was considered the most reasonable way to proceed. The Postgre suite of software also...for the ESRI (2009) geodatabase environment but is applicable for this Postgre -based system. We then introduce and discuss spatial reference...PostgreSQL database using a Postgre ODBC connection. This procedure identified 100 tables with 737 columns. This is after the removal of two

The GIS portal based on JSR168 portlet technology and WSRP

NASA Astrophysics Data System (ADS)

Wu, Defu; Chen, Nengcheng; Zhu, Xinyan; Gong, Jianya

2005-10-01

A portal is a powerful Web site that gives users a single point of access to applications and information in a unified interface. A portal lets users view each application or web page in its own window, called a portlet, and a single browser window can contain multiple portlets. The portlet based on JSP168&WSRP is a new technology for interactive, user-facing web services that plug and play with portals. Thanks to the development of Portal&Web GIS, the GIS Poratl is focused on more and more by the researcheres. This paper studies the GIS Portal defined by ESRI and analyzes the development's status, compares with the commercial Portal and points out the great shortage of the ESRI GIS Portal: lack in Personal content and UI. Therefor this paper goes into depth on the discussion of design and implementation scheme of real GIS Portal, and proposes the new idea of developing customized, plug and play GIS Portal Module based on JSP168 Portlet technology and WSRP standard. This way can resolve the difficult problem of the GIS Portal on lacking of content and customization function. According to this idea, this paper plans to use the JaveBeans provided by GeoSurf to develop visual portlet which have basic operating fuction of GIS. Finally deploys the GIS Portal uing the WebLogic Portal.

Visualization of Traffic Accidents

NASA Technical Reports Server (NTRS)

Wang, Jie; Shen, Yuzhong; Khattak, Asad

2010-01-01

Traffic accidents have tremendous impact on society. Annually approximately 6.4 million vehicle accidents are reported by police in the US and nearly half of them result in catastrophic injuries. Visualizations of traffic accidents using geographic information systems (GIS) greatly facilitate handling and analysis of traffic accidents in many aspects. Environmental Systems Research Institute (ESRI), Inc. is the world leader in GIS research and development. ArcGIS, a software package developed by ESRI, has the capabilities to display events associated with a road network, such as accident locations, and pavement quality. But when event locations related to a road network are processed, the existing algorithm used by ArcGIS does not utilize all the information related to the routes of the road network and produces erroneous visualization results of event locations. This software bug causes serious problems for applications in which accurate location information is critical for emergency responses, such as traffic accidents. This paper aims to address this problem and proposes an improved method that utilizes all relevant information of traffic accidents, namely, route number, direction, and mile post, and extracts correct event locations for accurate traffic accident visualization and analysis. The proposed method generates a new shape file for traffic accidents and displays them on top of the existing road network in ArcGIS. Visualization of traffic accidents along Hampton Roads Bridge Tunnel is included to demonstrate the effectiveness of the proposed method.

A seasonal comparison of surface sediment characteristics in Chincoteague Bay, Maryland and Virginia, USA

USGS Publications Warehouse

Ellis, Alisha M.; Marot, Marci E.; Wheaton, Cathryn J.; Bernier, Julie C.; Smith, Christopher G.

2016-02-03

This report is an archive for sedimentological data derived from the surface sediment of Chincoteague Bay. Data are available for the spring (March/April 2014) and fall (October 2014) samples collected. Downloadable data are provided as Excel spreadsheets and as JPEG files. Additional files include ArcGIS shapefiles of the sampling sites, detailed results of sediment grain-size analyses, and formal Federal Geographic Data Committee metadata (data downloads).

Topographic data of selected areas along the Alabama River near Montgomery, Alabama, collected using mobile terrestrial light detection and ranging (T-LiDAR) technology

USGS Publications Warehouse

Kimbrow, D.R.

2014-01-01

Topographic data at selected areas within the Alabama River flood plain near Montgomery, Alabama, were collected using a truck-mounted mobile terrestrial light detection and ranging system. These data were collected for inclusion in a flood inundation model developed by the National Weather Service in Birmingham, Alabama. Data are presented as ArcGIS point shapefiles with the extension .shp.

Preliminary geologic map of the Perris 7.5' quadrangle, Riverside County, California

USGS Publications Warehouse

Morton, Douglas M.; Digital preparation by Bovard, Kelly R.; Alvarez, Rachel M.

2003-01-01

Open-File Report 03-270 contains a digital geologic map database of the Perris 7.5’ quadrangle, Riverside County, California that includes: 1. ARC/INFO (Environmental Systems Research Institute, http://www.esri.com) version 7.2.1 coverages of the various elements of the geologic map. 2. A Postscript file to plot the geologic map on a topographic base, and containing a Correlation of Map Units diagram (CMU), a Description of Map Units (DMU), and an index map. 3. Portable Document Format (.pdf) files of: a. A Readme file b. The same graphic as described in 2 above. Test plots have not produced precise 1:24,000- scale map sheets. Adobe Acrobat page size setting influences map scale. The Correlation of Map Units and Description of Map Units is in the editorial format of USGS Geologic Investigations Series (I-series) maps but has not been edited to comply with I-map standards. Within the geologic map data package, map units are identified by standard geologic map criteria such as formationname, age, and lithology. Where known, grain size is indicated on the map by a subscripted letter or letters following the unit symbols as follows: lg, large boulders; b, boulder; g, gravel; a, arenaceous; s, silt; c, clay; e.g. Qyfa is a predominantly young alluvial fan deposit that is arenaceous. Multiple letters are used for more specific identification or for mixed units, e.g., Qfysa is a silty sand. In some cases, mixed units are indicated by a compound symbol; e.g., Qyf2sc.

Excel Spreadsheet Tools for Analyzing Groundwater Level Records and Displaying Information in ArcMap

USGS Publications Warehouse

Tillman, Fred D.

2009-01-01

When beginning hydrologic investigations, a first action is often to gather existing sources of well information, compile this information into a single dataset, and visualize this information in a geographic information system (GIS) environment. This report presents tools (macros) developed using Visual Basic for Applications (VBA) for Microsoft Excel 2007 to assist in these tasks. One tool combines multiple datasets into a single worksheet and formats the resulting data for use by the other tools. A second tool produces summary information about the dataset, such as a list of unique site identification numbers, the number of water-level observations for each, and a table of the number of sites with a listed number of water-level observations. A third tool creates subsets of the original dataset based on user-specified options and produces a worksheet with water-level information for each well in the subset, including the average and standard deviation of water-level observations and maximum decline and rise in water levels between any two observations, among other information. This water-level information worksheet can be imported directly into ESRI ArcMap as an 'XY Data' file, and each of the fields of summary well information can be used for custom display. A separate set of VBA tools distributed in an additional Excel workbook creates hydrograph charts of each of the wells in the data subset produced by the aforementioned tools and produces portable document format (PDF) versions of the hydrograph charts. These PDF hydrographs can be hyperlinked to well locations in ArcMap or other GIS applications.

Suitability of low cost commercial off-the-shelf aerial platforms and consumer grade digital cameras for small format aerial photography

NASA Astrophysics Data System (ADS)

Turley, Anthony Allen

Many research projects require the use of aerial images. Wetlands evaluation, crop monitoring, wildfire management, environmental change detection, and forest inventory are but a few of the applications of aerial imagery. Low altitude Small Format Aerial Photography (SFAP) is a bridge between satellite and man-carrying aircraft image acquisition and ground-based photography. The author's project evaluates digital images acquired using low cost commercial digital cameras and standard model airplanes to determine their suitability for remote sensing applications. Images from two different sites were obtained. Several photo missions were flown over each site, acquiring images in the visible and near infrared electromagnetic bands. Images were sorted and analyzed to select those with the least distortion, and blended together with Microsoft Image Composite Editor. By selecting images taken within minutes apart, radiometric qualities of the images were virtually identical, yielding no blend lines in the composites. A commercial image stitching program, Autopano Pro, was purchased during the later stages of this study. Autopano Pro was often able to mosaic photos that the free Image Composite Editor was unable to combine. Using telemetry data from an onboard data logger, images were evaluated to calculate scale and spatial resolution. ERDAS ER Mapper and ESRI ArcGIS were used to rectify composite images. Despite the limitations inherent in consumer grade equipment, images of high spatial resolution were obtained. Mosaics of as many as 38 images were created, and the author was able to record detailed aerial images of forest and wetland areas where foot travel was impractical or impossible.

SSC Geopositional Assessment of the Advanced Wide Field Sensor

NASA Technical Reports Server (NTRS)

Ross, Kenton

2007-01-01

The objective is to provide independent verification of IRS geopositional accuracy claims and of the internal geopositional characterization provided by Lutes (2005). Six sub-scenes (quads) were assessed; Three from each AWiFS camera. Check points were manually matched to digital orthophoto quarter quadrangle (DOQQ) reference (assumed accuracy approx. 5 m, RMSE) Check points were selected to meet or exceed Federal Geographic Data Committee's guidelines. Used ESRI ArcGIS for data collection and SSC-written MATLAB scripts for data analysis.

The Strabo digital data system for Structural Geology and Tectonics

NASA Astrophysics Data System (ADS)

Tikoff, Basil; Newman, Julie; Walker, J. Doug; Williams, Randy; Michels, Zach; Andrews, Joseph; Bunse, Emily; Ash, Jason; Good, Jessica

2017-04-01

We are developing the Strabo data system for the structural geology and tectonics community. The data system will allow researchers to share primary data, apply new types of analytical procedures (e.g., statistical analysis), facilitate interaction with other geology communities, and allow new types of science to be done. The data system is based on a graph database, rather than relational database approach, to increase flexibility and allow geologically realistic relationships between observations and measurements. Development is occurring on: 1) A field-based application that runs on iOS and Android mobile devices and can function in either internet connected or disconnected environments; and 2) A desktop system that runs only in connected settings and directly addresses the back-end database. The field application also makes extensive use of images, such as photos or sketches, which can be hierarchically arranged with encapsulated field measurements/observations across all scales. The system also accepts Shapefile, GEOJSON, KML formats made in ArcGIS and QGIS, and will allow export to these formats as well. Strabo uses two main concepts to organize the data: Spots and Tags. A Spot is any observation that characterizes a specific area. Below GPS resolution, a Spot can be tied to an image (outcrop photo, thin section, etc.). Spots are related in a purely spatial manner (one spot encloses anther spot, which encloses another, etc.). Tags provide a linkage between conceptually related spots. Together, this organization works seamlessly with the workflow of most geologists. We are expanding this effort to include microstructural data, as well as to the disciplines of sedimentology and petrology.

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.

Region Three Aerial Measurement System Flight Planning Tool - 12006

DOE Office of Scientific and Technical Information (OSTI.GOV)

Messick, Chuck; Pham, Minh; Smith, Ron

The Region 3 Aerial Measurement System Flight Planning Tool is used by the National Nuclear Security Agency (NNSA), United States Department of Energy, Radiological Assistance Program, Region 3, to respond to emergency radiological situations. The tool automates the flight planning package process while decreasing Aerial Measuring System response times and decreases the potential for human error. Deployment of the Region Three Aerial Measurement System Flight Planning Tool has resulted in an immediate improvement to the flight planning process in that time required for mission planning has been reduced from 1.5 hours to 15 minutes. Anecdotally, the RAP team reports thatmore » the rate of usable data acquired during surveys has improved from 40-60 percent to over 90 percent since they began using the tool. Though the primary product of the flight planning tool is a pdf format document for use by the aircraft flight crew, the RAP team has begun carrying their laptop computer on the aircraft during missions. By connecting a Global Positioning System (GPS) device to the laptop and using ESRI ArcMap's GPS tool bar to overlay the aircraft position directly on the flight plan in real time, the RAP team can evaluate and correct the aircraft position as the mission is executed. (authors)« less

Digital geologic map data for the Ozark National Scenic Riverways and adjacent areas along the Current River and Jacks Fork, Missouri

USGS Publications Warehouse

Weary, David J.; Orndorff, Randall C.; Harrison, Richard W.; Weems, Robert E.

2016-09-23

The geology of the Ozark National Scenic Riverways (ONSR) in southern Missouri has been mapped at 1:24,000 scale. This endeavor was achieved through the combined efforts of U.S. Geological Survey and Missouri Geological Survey individual quadrangle mapping and additional fieldwork by the authors of this report. Geologic data covering the area of the ONSR and a 1-mile (1.6-kilometer) buffer zone surrounding the park, as well as geologic data from a few key adjoining areas, have been compiled into a single, seamless geographic information system database. The intent is to provide base geologic information for natural science research and land management in the park and surrounding areas. The data are served online at ScienceBase (https://www.sciencebase.gov/catalog/), where they are provided in Environmental Systems Research Institute (ESRI) file geodatabase format, and are accompanied by metadata files. These data can be accessed at: http://dx.doi.org/10.5066/F7CJ8BKB. Additional detailed geologic information about the ONSR and surrounding areas is available in the separate 1:24,000-scale quadrangle maps and in a 1:100,000-scale map and report on the regional geology.

Digital soil map of the Ussuri River basin

NASA Astrophysics Data System (ADS)

Bugaets, A. N.; Pschenichnikova, N. F.; Tereshkina, A. A.; Krasnopeev, S. M.; Gartsman, B. I.; Golodnaya, O. M.; Oznobikhin, V. I.

2017-08-01

On the basis of digital soil, topographic, and geological maps; raster topography model; forestry materials; and literature data, the digital soil map of the Ussuri River basin (24400 km2) was created on a scale of 1: 100000. To digitize the initial paper-based maps and analyze the results, an ESRI ArcGIS Desktop (ArcEditor) v.10.1 (http://www.esri.com) and an open-code SAGA GIS v.2.3 (System for Automated Geoscientific Analyses, http://www.saga-gis.org) were used. The spatial distribution of soil areas on the obtained digital soil map is in agreement with modern cartographic data and the SRTM digital elevation model (SRTM DEM). The regional soil classification developed by G.I. Ivanov was used in the legend to the soil map. The names of soil units were also correlated with the names suggested in the modern Russian soil classification system. The major soil units on the map are at the soil subtypes that reflect the entire vertical spectrum of soils in the south of the Far East of Russia (Primorye region). These are mountainous tundra soils, podzolic soils, brown taiga soils, mountainous brown forest soils, bleached brown soils, meadow-brown soils, meadow gley soils, and floodplain soils). With the help of the spatial analysis function of GIS, the comparison of the particular characteristics of the soil cover with numerical characteristics of the topography, geological composition of catchments, and vegetation cover was performed.

UAV-based detection and spatial analyses of periglacial landforms on Demay Point (King George Island, South Shetland Islands, Antarctica)

NASA Astrophysics Data System (ADS)

Dąbski, Maciej; Zmarz, Anna; Pabjanek, Piotr; Korczak-Abshire, Małgorzata; Karsznia, Izabela; Chwedorzewska, Katarzyna J.

2017-08-01

High-resolution aerial images allow detailed analyses of periglacial landforms, which is of particular importance in light of climate change and resulting changes in active layer thickness. The aim of this study is to show possibilities of using UAV-based photography to perform spatial analysis of periglacial landforms on the Demay Point peninsula, King George Island, and hence to supplement previous geomorphological studies of the South Shetland Islands. Photogrammetric flights were performed using a PW-ZOOM fixed-winged unmanned aircraft vehicle. Digital elevation models (DEM) and maps of slope and contour lines were prepared in ESRI ArcGIS 10.3 with the Spatial Analyst extension, and three-dimensional visualizations in ESRI ArcScene 10.3 software. Careful interpretation of orthophoto and DEM, allowed us to vectorize polygons of landforms, such as (i) solifluction landforms (solifluction sheets, tongues, and lobes); (ii) scarps, taluses, and a protalus rampart; (iii) patterned ground (hummocks, sorted circles, stripes, nets and labyrinths, and nonsorted nets and stripes); (iv) coastal landforms (cliffs and beaches); (v) landslides and mud flows; and (vi) stone fields and bedrock outcrops. We conclude that geomorphological studies based on commonly accessible aerial and satellite images can underestimate the spatial extent of periglacial landforms and result in incomplete inventories. The PW-ZOOM UAV is well suited to gather detailed geomorphological data and can be used in spatial analysis of periglacial landforms in the Western Antarctic Peninsula region.

Depth-to-basement, sediment-thickness, and bathymetry data for the deep-sea basins offshore of Washington, Oregon, and California

USGS Publications Warehouse

Wong, Florence L.; Grim, Muriel S.

2015-01-01

Contours and derivative raster files of depth-to-basement, sediment-thickness, and bathymetry data for the area offshore of Washington, Oregon, and California are provided here as GIS-ready shapefiles and GeoTIFF files. The data were used to generate paper maps in 1992 and 1993 from 1984 surveys of the U.S. Exclusive Economic Zone by the U.S. Geological Survey for depth to basement and sediment thickness, and from older data for the bathymetry.

Temperature, Geochemistry, and Gravity Data of the Tularosa Basin

DOE Data Explorer

Nash, Greg

2017-06-16

This submission contains multiple excel spreadsheets and associated written reports. The datasets area are representative of shallow temperature, geochemistry, and other well logging observations made across WSMR (white sands missile range); located to the west of the Tularosa Basin but still within the study area. Written reports accompany some of the datasets, and they provide ample description of the methodology and results obtained from these studies. Gravity data is also included, as point data in a shapefile, along with a written report describing that particular study.

Preliminary geologic map of the Elsinore 7.5' Quadrangle, Riverside County, California

USGS Publications Warehouse

Morton, Douglas M.; Weber, F. Harold; Digital preparation: Alvarez, Rachel M.; Burns, Diane

2003-01-01

Open-File Report 03-281 contains a digital geologic map database of the Elsinore 7.5’ quadrangle, Riverside County, California that includes: 1. ARC/INFO (Environmental Systems Research Institute, http://www.esri.com) version 7.2.1 coverages of the various elements of the geologic map. 2. A Postscript file to plot the geologic map on a topographic base, and containing a Correlation of Map Units diagram (CMU), a Description of Map Units (DMU), and an index map. 3. Portable Document Format (.pdf) files of: a. This Readme; includes in Appendix I, data contained in els_met.txt b. The same graphic as plotted in 2 above. Test plots have not produced precise 1:24,000-scale map sheets. Adobe Acrobat page size setting influences map scale. The Correlation of Map Units and Description of Map Units is in the editorial format of USGS Geologic Investigations Series (I-series) maps but has not been edited to comply with I-map standards. Within the geologic map data package, map units are identified by standard geologic map criteria such as formation-name, age, and lithology. Where known, grain size is indicated on the map by a subscripted letter or letters following the unit symbols as follows: lg, large boulders; b, boulder; g, gravel; a, arenaceous; s, silt; c, clay; e.g. Qyfa is a predominantly young alluvial fan deposit that is arenaceous. Multiple letters are used for more specific identification or for mixed units, e.g., Qfysa is a silty sand. In some cases, mixed units are indicated by a compound symbol; e.g., Qyf2sc. Even though this is an Open-File Report and includes the standard USGS Open-File disclaimer, the report closely adheres to the stratigraphic nomenclature of the U.S. Geological Survey. Descriptions of units can be obtained by viewing or plotting the .pdf file (3b above) or plotting the postscript file (2 above).

NOAA's Data Catalog and the Federal Open Data Policy

NASA Astrophysics Data System (ADS)

Wengren, M. J.; de la Beaujardiere, J.

2014-12-01

The 2013 Open Data Policy Presidential Directive requires Federal agencies to create and maintain a 'public data listing' that includes all agency data that is currently or will be made publicly-available in the future. The directive requires the use of machine-readable and open formats that make use of 'common core' and extensible metadata formats according to the best practices published in an online repository called 'Project Open Data', to use open licenses where possible, and to adhere to existing metadata and other technology standards to promote interoperability. In order to meet the requirements of the Open Data Policy, the National Oceanic and Atmospheric Administration (NOAA) has implemented an online data catalog that combines metadata from all subsidiary NOAA metadata catalogs into a single master inventory. The NOAA Data Catalog is available to the public for search and discovery, providing access to the NOAA master data inventory through multiple means, including web-based text search, OGC CS-W endpoint, as well as a native Application Programming Interface (API) for programmatic query. It generates on a daily basis the Project Open Data JavaScript Object Notation (JSON) file required for compliance with the Presidential directive. The Data Catalog is based on the open source Comprehensive Knowledge Archive Network (CKAN) software and runs on the Amazon Federal GeoCloud. This presentation will cover topics including mappings of existing metadata in standard formats (FGDC-CSDGM and ISO 19115 XML ) to the Project Open Data JSON metadata schema, representation of metadata elements within the catalog, and compatible metadata sources used to feed the catalog to include Web Accessible Folder (WAF), Catalog Services for the Web (CS-W), and Esri ArcGIS.com. It will also discuss related open source technologies that can be used together to build a spatial data infrastructure compliant with the Open Data Policy.

2000 Multibeam Sonar Survey of Crater Lake, Oregon - Data, GIS, Images, and Movies

USGS Publications Warehouse

Gardner, James V.; Dartnell, Peter

2001-01-01

In the summer of 2000, the U.S. Geological Survey, Pacific Seafloor Mapping Project in cooperation with the National Park Service, and the Center for Coastal and Ocean Mapping, University of New Hampshire used a state-of-the-art multibeam sonar system to collect high-resolution bathymetry and calibrated, co-registered acoustic backscatter to support both biological and geological research in the Crater Lake area. This interactive CD-ROM contains the multibeam bathymetry and acoustic backscatter data, along with an ESRI ArcExplorer project (and software), images, and movies.

Global GIS database; digital atlas of South Pacific

USGS Publications Warehouse

Hearn, P.P.; Hare, T.M.; Schruben, P.; Sherrill, D.; LaMar, C.; Tsushima, P.

2001-01-01

This CD-ROM contains a digital atlas of the countries of the South Pacific. This atlas is part of a global database compiled from USGS and other data sources at a nominal scale of 1:1 million and is intended to be used as a regional-scale reference and analytical tool by government officials, researchers, the private sector, and the general public. The atlas includes free GIS software or may be used with ESRI's ArcView software. Customized ArcView tools, specifically designed to make the atlas easier to use, are also included.

Global GIS database; digital atlas of Africa

USGS Publications Warehouse

Hearn, P.P.; Hare, T.M.; Schruben, P.; Sherrill, D.; LaMar, C.; Tsushima, P.

2001-01-01

This CD-ROM contains a digital atlas of the countries of Africa. This atlas is part of a global database compiled from USGS and other data sources at a nominal scale of 1:1 million and is intended to be used as a regional-scale reference and analytical tool by government officials, researchers, the private sector, and the general public. The atlas includes free GIS software or may be used with ESRI's ArcView software. Customized ArcView tools, specifically designed to make this atlas easier to use, are also included.

Global GIS database; digital atlas of South Asia

USGS Publications Warehouse

Hearn, P.P.; Hare, T.M.; Schruben, P.; Sherrill, D.; LaMar, C.; Tsushima, P.

2001-01-01

This CD-ROM contains a digital atlas of the countries of South Asia. This atlas is part of a global database compiled from USGS and other data sources at a nominal scale 1:1 million and is intended to be used as a regional-scale reference and analytical tool by government officials, researchers, the private sector, and the general public. The atlas includes free GIS software or may be used with ESRI's ArcView software. Customized ArcView tools, specifically designed to make the atlas easier to use, are also included.

Analysis of the Effect of Environmental Conditions in Conducting Amphibious Assaults Using a Ship Simulator/Vessel-Response Model Proof-of-Concept Study

DTIC Science & Technology

2017-05-01

Center ESRI Environmental Systems Research Institute GIS Geographic Information System HTML Hyper -Text Markup Language LCAC Landing Craft Air... loop .” The ship simulator bridge is generic in that its layout is similar to that found in a variety of ships. As shown in Figures 17 and 18, the...information stored in the geodatabases. The Hyper -Text Markup Language (HTML) capability built into ArcMap permits a planner to click on a vessel track and

TIGER/Line Shapefile, 2010, 2010 Census Block State-based

EPA Pesticide Factsheets

The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropr

GIS Well Temperature Data from the Roosevelt Hot Springs, Utah FORGE Site

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gwynn, Mark; Hill, Jay; Allis, Rick

This is a GIS point feature shapefile representing wells, and their temperatures, that are located in the general Utah FORGE area near Milford, Utah. There are also fields that represent interpolated temperature values at depths of 200 m, 1000 m, 2000 m, 3000 m, and 4000 m. in degrees Fahrenheit. The temperature values at specific depths as mentioned above were derived as follows. In cases where the well reached a given depth (200 m and 1, 2, 3, or 4 km), the temperature is the measured temperature. For the shallower wells (and at deeper depths in the wells reaching onemore » or more of the target depths), temperatures were extrapolated from the temperature-depth profiles that appeared to have stable (re-equilibrated after drilling) and linear profiles within the conductive regime (i.e. below the water table or other convective influences such as shallow hydrothermal outflow from the Roosevelt Hydrothermal System). Measured temperatures/gradients from deeper wells (when available and reasonably close to a given well) were used to help constrain the extrapolation to greater depths. Most of the field names in the attribute table are intuitive, however HF = heat flow, intercept = the temperature at the surface (x-axis of the temperature-depth plots) based on the linear segment of the plot that was used to extrapolate the temperature profiles to greater depths, and depth_m is the total well depth. This information is also present in the shapefile metadata.« less

Digital release of the Alaska Quaternary fault and fold database

NASA Astrophysics Data System (ADS)

Koehler, R. D.; Farrell, R.; Burns, P.; Combellick, R. A.; Weakland, J. R.

2011-12-01

The Alaska Division of Geological & Geophysical Surveys (DGGS) has designed a Quaternary fault and fold database for Alaska in conformance with standards defined by the U.S. Geological Survey for the National Quaternary fault and fold database. Alaska is the most seismically active region of the United States, however little information exists on the location, style of deformation, and slip rates of Quaternary faults. Thus, to provide an accurate, user-friendly, reference-based fault inventory to the public, we are producing a digital GIS shapefile of Quaternary fault traces and compiling summary information on each fault. Here, we present relevant information pertaining to the digital GIS shape file and online access and availability of the Alaska database. This database will be useful for engineering geologic studies, geologic, geodetic, and seismic research, and policy planning. The data will also contribute to the fault source database being constructed by the Global Earthquake Model (GEM), Faulted Earth project, which is developing tools to better assess earthquake risk. We derived the initial list of Quaternary active structures from The Neotectonic Map of Alaska (Plafker et al., 1994) and supplemented it with more recent data where available. Due to the limited level of knowledge on Quaternary faults in Alaska, pre-Quaternary fault traces from the Plafker map are shown as a layer in our digital database so users may view a more accurate distribution of mapped faults and to suggest the possibility that some older traces may be active yet un-studied. The database will be updated as new information is developed. We selected each fault by reviewing the literature and georegistered the faults from 1:250,000-scale paper maps contained in 1970's vintage and earlier bedrock maps. However, paper map scales range from 1:20,000 to 1:500,000. Fault parameters in our GIS fault attribute tables include fault name, age, slip rate, slip sense, dip direction, fault line type (i.e., well constrained, moderately constrained, or inferred), and mapped scale. Each fault is assigned a three-integer CODE, based upon age, slip rate, and how well the fault is located. This CODE dictates the line-type for the GIS files. To host the database, we are developing an interactive web-map application with ArcGIS for Server and the ArcGIS API for JavaScript from Environmental Systems Research Institute, Inc. (Esri). The web-map application will present the database through a visible scale range with each fault displayed at the resolution of the original map. Application functionality includes: search by name or location, identification of fault by manual selection, and choice of base map. Base map options include topographic, satellite imagery, and digital elevation maps available from ArcGIS on-line. We anticipate that the database will be publically accessible from a portal embedded on the DGGS website by the end of 2011.

The national assessment of shoreline change: a GIS compilation of vector cliff edges and associated cliff erosion data for the California coast

USGS Publications Warehouse

Hapke, Cheryl; Reid, David; Borrelli, Mark

2007-01-01

The U.S. Geological Survey has generated a comprehensive data clearinghouse of digital vector cliff edges and associated rates of cliff retreat along the open-ocean California coast. These data, which are presented herein, were compiled as part of the U.S. Geological Survey's National Assessment of Shoreline Change Project. Cliff erosion is a chronic problem along many coastlines of the United States. As coastal populations continue to grow and community infrastructures are threatened by erosion, there is increased demand for accurate information including rates and trends of coastal cliff retreat. There is also a critical need for these data to be consistent from one region to another. One objective of this work is to a develop standard, repeatable methodology for mapping and analyzing cliff edge retreat so that periodic, systematic, and internally consistent updates of cliff edge position and associated rates of erosion can be made at a national scale. This data compilation for open-ocean cliff edges for the California coast is a separate, yet related study to Hapke and others, 2006 documenting shoreline change along sandy shorelines of the California coast, which is itself one in a series that includes the Gulf of Mexico and the Southeast Atlantic coast (Morton and others, 2004; Morton and Miller, 2005). Future reports and data compilations will include coverage of the Northeast U.S., the Great Lakes, Hawaii and Alaska. Cliff edge change is determined by comparing the positions of one historical cliff edge digitized from maps with a modern cliff edge derived from topographic LIDAR (light detection and ranging) surveys. Historical cliff edges for the California coast represent the 1920s-1930s time-period; the most recent cliff edge was delineated using data collected between 1998 and 2002. End-point rate calculations were used to evaluate rates of erosion between the two cliff edges. Please refer to our full report on cliff edge erosion along the California coastline at http://pubs.usgs.gov/of/2007/1133/ for additional information regarding methods and results (Hapke and others, 2007). Data in this report are organized into downloadable layers by region (Northern, Central and Southern California) and are provided as vector datasets with accompanying metadata. Vector cliff edges may represent a compilation of data from one or more sources and the sources used are included in the dataset metadata. This project employs the Environmental Systems Research Institute's (ESRI) ArcGIS as it's Geographic Information System (GIS) mapping tool and contains several data layers (shapefiles) that are used to create a geographic view of the California coast. The vector data form a basemap comprising polygon and line themes that include a U.S. coastline (1:80,000), U.S. cities, and state boundaries.

Appalachian Basin Play Fairway Analysis: Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

DOE Data Explorer

Teresa E. Jordan

2015-10-22

The files included in this submission contain all data pertinent to the methods and results of this task’s output, which is a cohesive multi-state map of all known potential geothermal reservoirs in our region, ranked by their potential favorability. Favorability is quantified using a new metric, Reservoir Productivity Index, as explained in the Reservoirs Methodology Memo (included in zip file). Shapefile and images of the Reservoir Productivity and Reservoir Uncertainty are included as well.

Vector Data Model: A New Model of HDF-EOS to Support GIS Applications in EOS

NASA Astrophysics Data System (ADS)

Chi, E.; Edmonds, R d

2001-05-01

NASA's Earth Science Data Information System (ESDIS) project has an active program of research and development of systems for the storage and management of Earth science data for Earth Observation System (EOS) mission, a key program of NASA Earth Science Enterprise. EOS has adopted an extension of the Hierarchical Data Format (HDF) as the format of choice for standard product distribution. Three new EOS specific datatypes - point, swath and grid - have been defined within the HDF framework. The enhanced data format is named HDF-EOS. Geographic Information Systems (GIS) are used by Earth scientists in EOS data product generation, visualization, and analysis. There are two major data types in GIS applications, raster and vector. The current HDF-EOS handles only raster type in the swath data model. The vector data model is identified and developed as a new HDFEOS format to meet the requirements of scientists working with EOS data products in vector format. The vector model is designed using a topological data structure, which defines the spatial relationships among points, lines, and polygons. The three major topological concepts that the vector model adopts are: a) lines connect to each other at nodes (connectivity), b) lines that connect to surround an area define a polygon (area definition), and c) lines have direction and left and right sides (contiguity). The vector model is implemented in HDF by mapping the conceptual model to HDF internal data models and structures, viz. Vdata, Vgroup, and their associated attribute structures. The point, line, and polygon geometry and attribute data are stored in similar tables. Further, the vector model utilizes the structure and product metadata, which characterize the HDF-EOS. Both types of metadata are stored as attributes in HDF-EOS files, and are encoded in text format by using Object Description Language (ODL) and stored as global attributes in HDF-EOS files. EOS has developed a series of routines for storing, retrieving, and manipulating vector data in category of access, definition, basic I/O, inquiry, and subsetting. The routines are tested and form a package, HDF-EOS/Vector. The alpha version of HDFEOS/Vector has been distributed through the HDF-EOS project web site at http://hdfeos.gsfc.nasa.gov. We are also developing translators between HDF-EOS vector format and variety of GIS formats, such as Shapefile. The HDF-EOS vector model enables EOS scientists to deliver EOS data in a way ready for Earth scientists to analyze using GIS software, and also provides EOS project a mechanism to store GIS data product in meaningful vector format with significant economy in storage.

The Cellular Automata for modelling of spreading of lava flow on the earth surface

NASA Astrophysics Data System (ADS)

Jarna, A.

2012-12-01

Volcanic risk assessment is a very important scientific, political and economic issue in densely populated areas close to active volcanoes. Development of effective tools for early prediction of a potential volcanic hazard and management of crises are paramount. However, to this date volcanic hazard maps represent the most appropriate way to illustrate the geographical area that can potentially be affected by a volcanic event. Volcanic hazard maps are usually produced by mapping out old volcanic deposits, however dynamic lava flow simulation gaining popularity and can give crucial information to corroborate other methodologies. The methodology which is used here for the generation of volcanic hazard maps is based on numerical simulation of eruptive processes by the principle of Cellular Automata (CA). The python script is integrated into ArcToolbox in ArcMap (ESRI) and the user can select several input and output parameters which influence surface morphology, size and shape of the flow, flow thickness, flow velocity and length of lava flows. Once the input parameters are selected, the software computes and generates hazard maps on the fly. The results can be exported to Google Maps (.klm format) to visualize the results of the computation. For validation of the simulation code are used data from a real lava flow. Comparison of the simulation results with real lava flows mapped out from satellite images will be presented.

SERVIR Presentation for the Hyperwall at the ESRI International Users Conference

NASA Technical Reports Server (NTRS)

Irwin, Dan

2014-01-01

From space, we can view our planet in new ways. As a joint initiative of NASA and USAID working in partnership with leading regional organizations, SERVIR connects space to village by helping people in developing countries use that view to gain knowledge and insights about their environments. We teach regional decision-makers to use Earth observation satellite data, Geographic Information Systems, and predictive models for addressing issues such as water and land use, natural disasters, agricultural problems, biodiversity conservation, and more to improve the lives, livelihoods, safety, and future of the people in their countries.

Geo-spatial Informatics in International Public Health Nursing Education.

PubMed

Kerr, Madeleine J; Honey, Michelle L L; Krzyzanowski, Brittany

2016-01-01

This poster describes results of an undergraduate nursing informatics experience. Students applied geo-spatial methods to community assessments in two urban regions of New Zealand and the United States. Students used the Omaha System standardized language to code their observations during a brief community assessment activity and entered their data into a mapping program developed in Esri ArcGIS Online, a geographic information system. Results will be displayed in tables and maps to allow comparison among the communities. The next generation of nurses can employ geo-spatial informatics methods to contribute to innovative community assessment, planning and policy development.

Rockfall trajectory modelling by the integration of Digital Terrestrial Photogrammetry, Laser Scanning and GIS

NASA Astrophysics Data System (ADS)

Francioni, Mirko; Salvini, Riccardo; Riccucci, Silvia; Guastaldi, Enrico; Ortolano, Fabrizio; Bonciani, Filippo; Callegari, Ivan; Fantozzi, Pierlorenzo

2010-05-01

The present paper describes the runout analysis of rocky unstable blocks on the slope, 500 m wide and 600 m high, overhanging the railroad line Domodossola - Iselle, Italy. In addition to the traditional geological, geomorphological and engineering-geological surveys, DTP (Digital Terrestrial Photogrammetry) by means of an helicopter was used to perform a detailed analysis of rocky blocks sited in inaccessible areas. In order to accomplish the analysis, DTP was combined with LS (Laser Scanning) to build the DDSM (Digital Dense Surface Model) of the slope. Aim of the work is the assessment of the rockfalls potentially dangerous for the railroad line, the assessment of the efficiency of existing protection measures and the prompt of mitigation strategies and monitoring. In order to collect the exact position and size of blocks and wedges, a digital interpretation of stereopairs coming from DTP has been carried out. The photointerpretation has been used to realize the land cover map (ex. outcropping rock, soil covered by vegetation) and to recognize the mitigation and protection measures already installed. Starting from blocks position the DDSM has allowed to determine the probable trajectories of rockfall along the slope. These have been calculated by means of a GIS procedure by the use of the ArcHydro module of EsriTM ArcMap assuming a correspondence between probable trajectories and flowdirection. The morphologic profile of rock falling paths has been obtained by the interpolation of 3D points coming from a properly procedure developed inside EsriTM Arcinfo Workstation environment integrated with the Easy Profiler tool of EsriTM ArcMap. The physical-mechanical characteristics of blocks, the morphologic profile, the land cover and the location of the protection barriers (classified according to the height - from 2 to 4 m - and to the preservation status), have been used as input data in RocFall2D (RoscienceTM) software to calculate the runout analysis. Local slope land cover has been managed by a statistical approach utilizing the coefficient of normal and tangential restitution; in this way probabilistic results about rockfall end point and kinetic energy along the falling path and on the barriers have been obtained. Considering the railroad line proximity, the analysis has shown the high probability to reach the train track for some unstable block. Some other ends their fall mainly in correspondence of vegetated and less steep areas; the remaining blocks are stopped by the existing protection measures. Results from this work have allowed the hazard zoning in respect to the railway; moreover, comparing them with results coming from the rock slope stability analysis, it has been possible to suggest the proper protection methods in different areas.

A Geospatial Database that Supports Derivation of Climatological Features of Severe Weather

NASA Astrophysics Data System (ADS)

Phillips, M.; Ansari, S.; Del Greco, S.

2007-12-01

The Severe Weather Data Inventory (SWDI) at NOAA's National Climatic Data Center (NCDC) provides user access to archives of several datasets critical to the detection and evaluation of severe weather. These datasets include archives of: · NEXRAD Level-III point features describing general storm structure, hail, mesocyclone and tornado signatures · National Weather Service Storm Events Database · National Weather Service Local Storm Reports collected from storm spotters · National Weather Service Warnings · Lightning strikes from Vaisala's National Lightning Detection Network (NLDN) SWDI archives all of these datasets in a spatial database that allows for convenient searching and subsetting. These data are accessible via the NCDC web site, Web Feature Services (WFS) or automated web services. The results of interactive web page queries may be saved in a variety of formats, including plain text, XML, Google Earth's KMZ, standards-based NetCDF and Shapefile. NCDC's Storm Risk Assessment Project (SRAP) uses data from the SWDI database to derive gridded climatology products that show the spatial distributions of the frequency of various events. SRAP also can relate SWDI events to other spatial data such as roads, population, watersheds, and other geographic, sociological, or economic data to derive products that are useful in municipal planning, emergency management, the insurance industry, and other areas where there is a need to quantify and qualify how severe weather patterns affect people and property.

Just tooling around: Experiences with arctools

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tuttle, M.A.

1994-06-01

The three US Department of Energy (DOE) Installations on the Oak Ridge Reservation (Oak Ridge National Laboratory, Y-12 and K-25) were established during World War II as part of the Manhattan Project to build ``the bomb.`` In later years, the work at these facilities involved nuclear energy research, defense-related activities, and uranium enrichment, resulting in the generation of radioactive material and other toxic by-products. Work is now in progress to identify and clean up the environmental contamination from these and other wastes. Martin Marietta Energy Systems, Inc., which manages the Oak Ridge sites as well as DOE installations at Portsmouth,more » Ohio and Paducah, Kentucky, has been charged with creating and maintaining a comprehensive environmental information system in order to comply with the Federal Facility Agreement (FFA) for the Oak Ridge Reservation and the State of Tennessee Oversight Agreement between the US Department of Energy and the State of Tennessee. As a result, the Oak Ridge Environmental Information System (OREIS) was conceived and is currently being implemented. The tools chosen for the OREIS system are Oracle for the relational database, SAS for data analysis and graphical representation, and Arc/INFO and ArcView for the spatial analysis and display component. Within the broad scope of ESRI`s Arc/Info software, ArcTools was chosen as the graphic user interface for inclusion of Arc/Info into OREIS. The purpose of this paper is to examine in the advantages and disadvantages of incorporating ArcTools for the presentation of Arc/INFO in the OREIS system. The immediate and mid-term development goals of the OREIS system as they relate to ArcTools will be presented. A general discussion of our experiences with the ArcTools product is also included.« less

Ionization and dissociation of molecular ion beams by intense ultrafast laser pulses

NASA Astrophysics Data System (ADS)

Ben-Itzhak, Itzik

2007-06-01

Laser-induced dissociation and ionization of a diatomic molecular-ion beam were simultaneously measured using coincidence 3D momentum imaging, with direct separation of the two processes even where the fragment kinetic energy is the same for both processes. We mainly focus on the fundamental H2^+ molecule in 7-135 fs laser pulses having 10^13-10^15 W/cm^2 peak intensity. At high intensities the kinetic energy release (KER) distribution following ionization of H2^+ was measured to be broad and structureless. Its centroid shifts toward higher energies as the laser intensity is increased indicating that ionization shifts to smaller internuclear distances. In contrast, a surprising structure is observed near the ionization threshold, which we call above threshold Coulomb explosion (ATCE) [1]. The angular distributions of the two H^+ fragments are strongly peaked along the laser polarization, and the angular distribution is described well by [cos^2θ]^n, where n is the number of photons predicted by our ATCE model [1]. Our data indicates that n varies with the laser wavelength as predicted by the model. The KER and angular distributions of H2^+ dissociation change dramatically with decreasing pulse width over the 7-135 fs range in contrast to the reported trend for longer pulses. Others contributing to this work: A.M. Sayler, P.Q. Wang, J. McKenna, B. Gaire, Nora G. Johnson, E. Parke, K.D. Carnes, and B.D. Esry. Thank are due to Professor Zenghu Chang for providing the intense laser beams and Dr. Charles Fehrenbach for his help with the ion beams. [1] B.D. Esry, A.M. Sayler, P.Q. Wang, K.D. Carnes, and I. Ben-Itzhak, Phys. Rev. Lett. 97, 013003 (2006).

Thematic mapper-derived mineral distribution maps of Idaho, Nevada, and western Montana

USGS Publications Warehouse

Raines, Gary L.

2006-01-01

This report provides mineral distribution maps based on TM spectral information of minerals commonly associated with hydrothermal alteration in Nevada, Idaho, and western Montana. The product of the processing is provided as four ESRI GRID files with 30 m resolution by state. UTM Zone 11 projection is used for Nevada (grid clsnv) and western Idaho (grid clsid), UTM Zone 12 is used for eastern Idaho and western Montana (grid clsid_mt). A fourth grid with a special Albers projection is used for the Headwaters project covering Idaho and western Montana (grid crccls_hs). Symbolization for all four grids is stored in the ESRI layer or LYR files and color or CLR files. Objectives of the analyses were to cover a large area very quickly and to provide data that could be used at a scale of 1:100,000 or smaller. Thus, the image processing was standardized for speed while still achieving the desired 1:100,000-scale level of detail. Consequently, some subtle features of mineralogy may be missed. The hydrothermal alteration data were not field checked to separate mineral occurrences due to hydrothermal alteration from those due to other natural occurrences. The data were evaluated by overlaying the results with 1:100,000 scale topographic maps to confirm correlation with known mineralized areas. The data were also tested in the Battle Mountain area of north-central Nevada by a weights-of-evidence correlation analysis with metallic mineral sites from the USGS Mineral Resources Data System and were found to have significant spatial correlation. On the basis of on these analyses, the data are considered useful for regional studies at scales of 1:100,000.

ROE Carbon Storage - Forest Biomass

EPA Pesticide Factsheets

This polygon dataset depicts the density of forest biomass in counties across the United States, in terms of metric tons of carbon per square mile of land area. These data were provided in spreadsheet form by the U.S. Department of Agriculture (USDA) Forest Service. To produce the Web mapping application, EPA joined the spreadsheet with a shapefile of U.S. county (and county equivalent) boundaries downloaded from the U.S. Census Bureau. EPA calculated biomass density based on the area of each county polygon. These data sets were converted into a single polygon feature class inside a file geodatabase.

Geomorphology and depositional subenvironments of Gulf Islands National Seashore, Perdido Key and Santa Rosa Island, Florida

USGS Publications Warehouse

Morton, Robert A.; Montgomery, Marilyn C.

2010-01-01

The primary mapping procedures were supervised functions within a Geographic Information System (GIS) that were applied to delineate and classify depositional subenvironments and features, collectively referred to as map units. The delineated boundaries of the map units were exported to create one shapefile, and are differentiated by the field "Type" in the associated attribute table. Map units were delineated and classified based on differences in tonal patterns of features in contrast to adjacent features observed on orthophotography. Land elevations from recent lidar surveys served as supplementary data to assist in delineating the map unit boundaries.

Comprehensive Areal Model of Earthquake-Induced Landslides: Technical Specification and User Guide

USGS Publications Warehouse

Miles, Scott B.; Keefer, David K.

2007-01-01

This report describes the complete design of a comprehensive areal model of earthquakeinduced landslides (CAMEL). This report presents the design process, technical specification of CAMEL. It also provides a guide to using the CAMEL source code and template ESRI ArcGIS map document file for applying CAMEL, both of which can be obtained by contacting the authors. CAMEL is a regional-scale model of earthquake-induced landslide hazard developed using fuzzy logic systems. CAMEL currently estimates areal landslide concentration (number of landslides per square kilometer) of six aggregated types of earthquake-induced landslides - three types each for rock and soil.

ArcCN-Runoff: An ArcGIS tool for generating curve number and runoff maps

USGS Publications Warehouse

Zhan, X.; Huang, M.-L.

2004-01-01

The development and the application of ArcCN-Runoff tool, an extension of ESRI@ ArcGIS software, are reported. This tool can be applied to determine curve numbers and to calculate runoff or infiltration for a rainfall event in a watershed. Implementation of GIS techniques such as dissolving, intersecting, and a curve-number reference table improve efficiency. Technical processing time may be reduced from days, if not weeks, to hours for producing spatially varied curve number and runoff maps. An application example for a watershed in Lyon County and Osage County, Kansas, USA, is presented. ?? 2004 Elsevier Ltd. All rights reserved.

Bathymetry and digital elevation models of Coyote Creek and Alviso Slough, South San Francisco Bay, California

USGS Publications Warehouse

Foxgrover, Amy C.; Finlayson, David P.; Jaffe, Bruce E.; Fregoso, Theresa A.

2012-01-05

In 2010 the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center completed three cruises to map the bathymetry of the main channel and shallow intertidal mudflats in the southernmost part of south San Francisco Bay. The three surveys were merged to generate comprehensive maps of Coyote Creek (from Calaveras Point east to the railroad bridge) and Alviso Slough (from the bay to the town of Alviso) to establish baseline bathymetry prior to the breaching of levees adjacent to Alviso and Guadalupe Sloughs as part of the South Bay Salt Pond Restoration Project (http://www.southbayrestoration.org). Since 2010 the USGS has conducted twelve additional surveys to monitor bathymetric change in this region as restoration progresses.The bathymetry surveys were conducted using the state-of-the-art research vessel R/V Parke Snavely outfitted with an interferometric sidescan sonar for swath mapping in extremely shallow water. This publication provides high-resolution bathymetric data collected by the USGS. For the 2010 baseline survey we have merged the bathymetry with aerial lidar data that were collected for the USGS during the same time period to create a seamless, high-resolution digital elevation model (DEM) of the study area. The series of bathymetry datasets are provided at 1 m resolution and the 2010 bathymetric/topographic DEM at 2 m resolution. The data are formatted as both X, Y, Z text files and ESRI Arc ASCII files that are accompanied by Federal Geographic Data Committee (FGDC) compliant metadata.

HAZPAC; an interactive map of Pacific Rim natural hazards, population, and infrastructure

USGS Publications Warehouse

Bemis, B.L.; Goss, H.V.; Yurkovich, E.S.; Perron, T.J.; Howell, D.G.

2002-01-01

This is an online version of a CD-ROM publication. The text files that describe using this publication make reference to software provided on the disc. For this online version the software can be downloaded for free from Adobe Systems and Environmental Systems Research Institute, Inc. (ESRI). Welcome to HAZPAC! HAZPAC is an interactive map about natural hazard risk in the Pacific Rim region. It is intended to communicate to a broad audience the ideas of 'Crowding the Rim,' which is an international, public-private partnership that fosters collaborative solutions for regional risks. HAZPAC, which stands for 'HAZards of the PACific,' uses Geographic Information System (GIS) technology to help people visualize the socioeconomic connections and shared hazard vulnerabilities among Pacific Rim countries, as well as to explore the general nature of risk. Please refer to the 'INTRODUCTION TO HAZPAC' section of the readme file below to determine which HAZPAC project will be right for you. Once you have decided which HAZPAC project is suitable for you, please refer to the 'GETTING STARTED' sections in the readme file for some basic information that will help you begin using HAZPAC. Also, we highly recommend that you follow the Tutorial exercises in the project-specific HAZPAC User Guides. The User Guides are PDF (Portable Document Format) files that must be read with Adobe Acrobat Reader (a free copy of Acrobat Reader is available using the link near the bottom of this page).

GPFA-AB_Phase1ReservoirTask2DataUpload

DOE Data Explorer

Teresa E. Jordan

2015-10-22

This submission to the Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) in support of Phase 1 Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. The files included in this zip file contain all data pertinent to the methods and results of this task’s output, which is a cohesive multi-state map of all known potential geothermal reservoirs in our region, ranked by their potential favorability. Favorability is quantified using a new metric, Reservoir Productivity Index, as explained in the Reservoirs Methodology Memo (included in zip file). Shapefile and images of the Reservoir Productivity and Reservoir Uncertainty are included as well.

Visualization of GPM Standard Products at the Precipitation Processing System (PPS)

NASA Astrophysics Data System (ADS)

Kelley, O.

2010-12-01

Many of the standard data products for the Global Precipitation Measurement (GPM) constellation of satellites will be generated at and distributed by the Precipitation Processing System (PPS) at NASA Goddard. PPS will provide several means to visualize these data products. These visualization tools will be used internally by PPS analysts to investigate potential anomalies in the data files, and these tools will also be made available to researchers. Currently, a free data viewer called THOR, the Tool for High-resolution Observation Review, can be downloaded and installed on Linux, Windows, and Mac OS X systems. THOR can display swath and grid products, and to a limited degree, the low-level data packets that the satellite itself transmits to the ground system. Observations collected since the 1997 launch of the Tropical Rainfall Measuring Mission (TRMM) satellite can be downloaded from the PPS FTP archive, and in the future, many of the GPM standard products will also be available from this FTP site. To provide easy access to this 80 terabyte and growing archive, PPS currently operates an on-line ordering tool called STORM that provides geographic and time searches, browse-image display, and the ability to order user-specified subsets of standard data files. Prior to the anticipated 2013 launch of the GPM core satellite, PPS will expand its visualization tools by integrating an on-line version of THOR within STORM to provide on-the-fly image creation of any portion of an archived data file at a user-specified degree of magnification. PPS will also provide OpenDAP access to the data archive and OGC WMS image creation of both swath and gridded data products. During the GPM era, PPS will continue to provide realtime globally-gridded 3-hour rainfall estimates to the public in a compact binary format (3B42RT) and in a GIS format (2-byte TIFF images + ESRI WorldFiles).

GDAL Enhancements for Interoperability with EOS Data (GEE)

NASA Astrophysics Data System (ADS)

Tisdale, B.

2015-12-01

Historically, Earth Observing Satellite (EOS) data products have been difficult to consume by GIS tools, weather commercial or open-source. This has resulted in a reduced acceptance of these data products by GIS and general user communities. Common problems and challenges experienced by these data users include difficulty when: Consuming data products from NASA Distributed Active Archive Centers (DAACs) that pre-date modern application software with commercial and open-source geospatial tools; Identifying[MI1] an initial approach for developing a framework and plug-ins that interpret non-compliant data; Defining a methodology that is extensible across NASA Earth Observing System Data and Information System (EOSDIS), scientific communities, and GIS communities by enabling other data centers to construct their own plug-ins and adjust specific data products; and Promoting greater use of NASA Data and new analysis utilizing GIS tools. To address these challenges and make EOS data products more accessible and interpretable by GIS applications, a collaborative approach has been taken that includes the NASA Langley Atmospheric Science Data Center (ASDC), Esri, George Mason University (GMU), and the Hierarchical Data Format (HDF) Group to create a framework and plugins to be applied to Geospatial Data Abstraction Library (GDAL). This framework and its plugins offer advantages of extensibility within NASA EOSDIS, permitting other data centers to construct their own plugins necessary to adjust their data products. In this session findings related to the framework and the development of GDAL plugins will be reviewed. Specifically, this session will offer a workshop to review documentation and training materials that have been generated for the purpose of guiding other NASA DAACs through the process of constructing plug-ins consistent with the framework as well as a review of the certification process by which the plugins can be independently verified as properly converting the data to the format and content required for use in GIS software.

GDAL Enhancements for Interoperability with EOS Data

NASA Astrophysics Data System (ADS)

Tisdale, M.; Mathews, T. J.; Tisdale, B.; Sun, M.; Yang, C. P.; Lee, H.; Habermann, T.

2015-12-01

Historically, Earth Observing Satellite (EOS) data products have been difficult to consume by GIS tools, weather commercial or open-source. This has resulted in a reduced acceptance of these data products by GIS and general user communities. Common problems and challenges experienced by these data users include difficulty when: Consuming data products from NASA Distributed Active Archive Centers (DAACs) that pre-date modern application software with commercial and open-source geospatial tools; Identifying an initial approach for developing a framework and plug-ins that interpret non-compliant data; Defining a methodology that is extensible across NASA Earth Observing System Data and Information System (EOSDIS), scientific communities, and GIS communities by enabling other data centers to construct their own plug-ins and adjust specific data products; and Promoting greater use of NASA Data and new analysis utilizing GIS tools. To address these challenges and to make EOS data products more accessible and interpretable by GIS applications, a collaborative approach has been taken that includes the NASA Langley Atmospheric Science Data Center (ASDC), Esri, George Mason University (GMU), and the Hierarchical Data Format (HDF) Group to create a framework and plugins to be applied to Geospatial Data Abstraction Library (GDAL). This framework and its plugins offer advantages of extensibility within NASA EOSDIS, permitting other data centers to construct their own plugins necessary to adjust their data products. In this session findings related to the framework and the development of GDAL plugins will be reviewed. Specifically, this session will offer a workshop to review documentation and training materials that have been generated for the purpose of guiding other NASA DAACs through the process of constructing plug-ins consistent with the framework as well as a review of the certification process by which the plugins can be independently verified as properly converting the data to the format and content required for use in GIS software.

Chemical composition of ferromanganese crusts in the world ocean: a review and comprehensive database

USGS Publications Warehouse

Manheim, Frank T.; Lane-Bostwick, Candice M.

1989-01-01

A comprehensive database of chemical and mineralogical properties for ferromanganese crusts collected throughout the Atlantic, Pacific, and Indian Oceans, and has been assembled from published and unpublished sources which provide collection and analytical information for these samples. These crusts, their chemical compositions and natural distribution, have been a topic of interest to scientific research, as well as to industrial and military applications. Unlike abyssal ferromanganese nodules, which form in areas of low disturbance and high sediment accumulation, crusts have been found to contain three to five times more cobalt than these nodules, and can be found on harder, steeper substrates which can be too steep for permanent sediment accumulation. They have also been documented on seamounts and plateaus within the U.S. exclusive economic zone in both Pacific and Atlantic Oceans, and these are therefore of strategic importance to the United States Government, as well as to civilian mining and metallurgical industries. The data tables provided in this report have been digitized and previously uploaded to the National Oceanic and Atmospheric Administration National Geophysical Data Center in 1991 for online distribution, and were provided in plain text format. The 2014 update to the original U.S. Geological Survey open-file report published in 1989 provides these data tables in a slightly reformatted version to make them easier to ingest into geographic information system software, converted to shapefiles, and have completed metadata written and associated with them.

Geology and land use in the western part of the Gulf Coast coal-bearing region

USGS Publications Warehouse

Warwick, Peter D.; Aubourg, C.E.; Hook, R.W.; SanFilipo, John R.

2002-01-01

This map series is a compilation of the outcrop geology in the U.S. Gulf Coast coal region. The maps show the regional geologic setting for primary coal occurrences and detailed geology and historic mining areas.The CD contains ESRI ArcView SHP files of cities, urban areas, historical mines (points and polygons), counties, current mines, 1:100,000 quadrangle outlines of the study area, fossil fuel powerplants, nuclear powerplants, political boundaries, federally managed lands, roads and railroads in the study area, hydrology in the study area (polygons and arcs), geology nomenclature breaks, geological features (faults), and geology. ArcExplorer is included on the CD.

A Web Portal-Based Time-Aware KML Animation Tool for Exploring Spatiotemporal Dynamics of Hydrological Events

NASA Astrophysics Data System (ADS)

Bao, X.; Cai, X.; Liu, Y.

2009-12-01

Understanding spatiotemporal dynamics of hydrological events such as storms and droughts is highly valuable for decision making on disaster mitigation and recovery. Virtual Globe-based technologies such as Google Earth and Open Geospatial Consortium KML standards show great promises for collaborative exploration of such events using visual analytical approaches. However, currently there are two barriers for wider usage of such approaches. First, there lacks an easy way to use open source tools to convert legacy or existing data formats such as shapefiles, geotiff, or web services-based data sources to KML and to produce time-aware KML files. Second, an integrated web portal-based time-aware animation tool is currently not available. Thus users usually share their files in the portal but have no means to visually explore them without leaving the portal environment which the users are familiar with. We develop a web portal-based time-aware KML animation tool for viewing extreme hydrologic events. The tool is based on Google Earth JavaScript API and Java Portlet standard 2.0 JSR-286, and it is currently deployable in one of the most popular open source portal frameworks, namely Liferay. We have also developed an open source toolkit kml-soc-ncsa (http://code.google.com/p/kml-soc-ncsa/) to facilitate the conversion of multiple formats into KML and the creation of time-aware KML files. We illustrate our tool using some example cases, in which drought and storm events with both time and space dimension can be explored in this web-based KML animation portlet. The tool provides an easy-to-use web browser-based portal environment for multiple users to collaboratively share and explore their time-aware KML files as well as improving the understanding of the spatiotemporal dynamics of the hydrological events.

Modern Data Center Services Supporting Science

NASA Astrophysics Data System (ADS)

Varner, J. D.; Cartwright, J.; McLean, S. J.; Boucher, J.; Neufeld, D.; LaRocque, J.; Fischman, D.; McQuinn, E.; Fugett, C.

2011-12-01

The National Oceanic and Atmospheric Administration's National Geophysical Data Center (NGDC) World Data Center for Geophysics and Marine Geology provides scientific stewardship, products and services for geophysical data, including bathymetry, gravity, magnetics, seismic reflection, data derived from sediment and rock samples, as well as historical natural hazards data (tsunamis, earthquakes, and volcanoes). Although NGDC has long made many of its datasets available through map and other web services, it has now developed a second generation of services to improve the discovery and access to data. These new services use off-the-shelf commercial and open source software, and take advantage of modern JavaScript and web application frameworks. Services are accessible using both RESTful and SOAP queries as well as Open Geospatial Consortium (OGC) standard protocols such as WMS, WFS, WCS, and KML. These new map services (implemented using ESRI ArcGIS Server) are finer-grained than their predecessors, feature improved cartography, and offer dramatic speed improvements through the use of map caches. Using standards-based interfaces allows customers to incorporate the services without having to coordinate with the provider. Providing fine-grained services increases flexibility for customers building custom applications. The Integrated Ocean and Coastal Mapping program and Coastal and Marine Spatial Planning program are two examples of national initiatives that require common data inventories from multiple sources and benefit from these modern data services. NGDC is also consuming its own services, providing a set of new browser-based mapping applications which allow the user to quickly visualize and search for data. One example is a new interactive mapping application to search and display information about historical natural hazards. NGDC continues to increase the amount of its data holdings that are accessible and is augmenting the capabilities with modern web application frameworks such as Groovy and Grails. Data discovery is being improved and simplified by leveraging ISO metadata standards along with ESRI Geoportal Server.

Using ESRI Story Maps for Engaging Tribal Youth in Localized Climate Education

NASA Astrophysics Data System (ADS)

Masters, E. L.; Marsik, F. J.; Sonderegger, C.

2017-12-01

A critical step in any climate adaptation initiative is the engagement of the community through educational outreach about the impacts of climate change on vulnerable economic, infrastructure and natural resources within the community. For Tribal communities, such outreach must also highlight connections between these vulnerable assets, such as natural resources, and Tribal cultural practices. For adult members of these communities, the combination of traditional ecological knowledge and western science approaches can prove effective in this regard. For Tribal youth, the often complex and data-heavy nature of western science approaches may prove to be more of an obstacle than an aid in communicating the impacts of our changing climate on their local Tribal community. A collaborative educational effort between the Grand Traverse Band of Ottawa and Chippewa Indians (Peshawbestown, MI) and the University of Michigan seeks to lean upon the rich tradition of storytelling as a method of conveying information to younger generations. The ESRI Story Maps platform provides such a tool through its combined use of narratives, images, maps, and data. The ability to make a Story Map deep and complex, or simple and fun, makes this application ideal for communicating with a range of people, from school-age children to adults. For our project, we created two Story Maps with different complexity levels, with one for elementary to middle school students, and the other targeted at high school students. The project for younger children was aimed at engaging viewers through a series of images and maps, introducing them to the basics of what wetlands are, which types of wetlands can be found locally, Indigenous cultural connections to wetlands, and how to protect wetlands. The more complex project provided a more expansive discussion of these same topics, including threats to these wetlands from human activities, including climate change, as well as an extensive list of references and a glossary of terms that allow the older students to continue of their study of these topics on their own.

Remote sensing systems – Platforms and sensors: Aerial, satellites, UAVs, optical, radar, and LiDAR: Chapter 1

USGS Publications Warehouse

Panda, Sudhanshu S.; Rao, Mahesh N.; Thenkabail, Prasad S.; Fitzerald, James E.

2015-01-01

The American Society of Photogrammetry and Remote Sensing defined remote sensing as the measurement or acquisition of information of some property of an object or phenomenon, by a recording device that is not in physical or intimate contact with the object or phenomenon under study (Colwell et al., 1983). Environmental Systems Research Institute (ESRI) in its geographic information system (GIS) dictionary defines remote sensing as “collecting and interpreting information about the environment and the surface of the earth from a distance, primarily by sensing radiation that is naturally emitted or reflected by the earth’s surface or from the atmosphere, or by sending signals transmitted from a device and reflected back to it (ESRI, 2014).” The usual source of passive remote sensing data is the measurement of reflected or transmitted electromagnetic radiation (EMR) from the sun across the electromagnetic spectrum (EMS); this can also include acoustic or sound energy, gravity, or the magnetic field from or of the objects under consideration. In this context, the simple act of reading this text is considered remote sensing. In this case, the eye acts as a sensor and senses the light reflected from the object to obtain information about the object. It is the same technology used by a handheld camera to take a photograph of a person or a distant scenic view. Active remote sensing, however, involves sending a pulse of energy and then measuring the returned energy through a sensor (e.g., Radio Detection and Ranging [RADAR], Light Detection and Ranging [LiDAR]). Thermal sensors measure emitted energy by different objects. Thus, in general, passive remote sensing involves the measurement of solar energy reflected from the Earth’s surface, while active remote sensing involves synthetic (man-made) energy pulsed at the environment and the return signals are measured and recorded.

Spatial Analysis of Geohazards using ArcGIS--A web-based Course.

NASA Astrophysics Data System (ADS)

Harbert, W.; Davis, D.

2003-12-01

As part of the Environmental Systems Research Incorporated (ESRI) Virtual Campus program, a course was designed to present the benefits of Geographical Information Systems (GIS) based spatial analysis as applied towards a variety of geohazards. We created this on-line ArcGIS 8.x-based course to aid the motivated student or professional in his or her efforts to use GIS in determining where geohazards are likely to occur and for assessing their potential impact on the human community. Our course is broadly designed for earth scientists, public sector professionals, students, and others who want to apply GIS to the study of geohazards. Participants work with ArcGIS software and diverse datasets to display, visualize and analyze a wide variety of data sets and map a variety of geohazards including earthquakes, volcanoes, landslides, tsunamis, and floods. Following the GIS-based methodology of posing a question, decomposing the question into specific criteria, applying the criteria to spatial or tabular geodatasets and then analyzing feature relationships, from the beginning the course content was designed in order to enable the motivated student to answer questions. For example, to explain the relationship between earth quake location, earthquake depth, and plate boundaries; use a seismic hazard map to identify population and features at risk from an earthquake; import data from an earthquake catalog and visualize these data in 3D; explain the relationship between earthquake damage and local geology; use a flood scenario map to identify features at risk for forecast river discharges; use a tsunami inundation map to identify population and features at risk from tsunami; use a hurricane inundation map to identify the population at risk for any given category hurricane; estimate accumulated precipitation by integrating time-series Doppler radar data; and model a real-life landslide event. The six on-line modules for our course are Earthquakes I, Earthquakes II, Volcanoes, Floods, Coastal Geohazards and Landslides. Earthquake I can be viewed and accessed for no cost at http://campus.esri.com.

The Tribal Lands Collaboratory: Building partnerships and developing tools to support local Tribal community response to climate change.

NASA Astrophysics Data System (ADS)

Jones, K. D.; Wee, B.; Kuslikis, A.

2015-12-01

Response of Tribal nations and Tribal communities to current and emerging climate change challenges requires active participation of stakeholders who have effective access to relevant data, information and analytical tools. The Tribal Lands Collaboratory (TLC), currently under development, is a joint effort between the American Indian Higher Education Consortium (AIHEC), the Environmental Systems Research Institute (Esri), and the National Ecological Observatory Network (NEON). The vision of the TLC is to create an integrative platform that enables coordination between multiple stakeholders (e.g. Tribal resource managers, Tribal College faculty and students, farmers, ranchers, and other local community members) to collaborate on locally relevant climate change issues. The TLC is intended to facilitate the transformation of data into actionable information that can inform local climate response planning. The TLC will provide the technical mechanisms to access, collect and analyze data from both internal and external sources (e.g. NASA's Giovanni climate data portal, Ameriflux or USA National Phenology Network) while also providing the social scaffolds to enable collaboration across Tribal communities and with members of the national climate change research community. The prototype project focuses on phenology, a branch of science focused on relationships between climate and the seasonal timing of biological phenomena. Monitoring changes in the timing and duration of phenological stages in plant and animal co­­­­mmunities on Tribal lands can provide insight to the direct impacts of climate change on culturally and economically significant Tribal resources . The project will leverage existing phenological observation protocols created by the USA-National Phenology Network and NEON to direct data collection efforts and will be tailored to the specific needs and concerns of the community. Phenology observations will be captured and managed within the Collaboratory environment where these data may then be correlated with regional climate data to investigate interactions between large-scale environmental changes and local impacts. Esri's Story Maps is a candidate mechanism for sharing of those findings among Tribal stakeholders.

The Role of Content Aggregators In GEOValue

NASA Astrophysics Data System (ADS)

Wright, D. J.; Breyer, S.; Hogeweg, M.; Foust, J.; Jordan, L.; Plunkett, G.

2016-12-01

Data (aka content) in the form of numbers or layers, and transformed into information by way of maps, images, graphs, charts, tables, even stories, are foundational for a myriad of decision-makers. Recent advances in information technology, as well as civil remote sensing of the Earth, are rapidly allowing us to advance beyond mere static data collection and archiving, further enabling information awareness and understanding, and leading us towards knowledge and better decision making. However, such volumes, velocities, and varieties of data streams also bring with them serious dilemmas with regard to effective organization, cataloging, and easy access. This is where the role of aggregator comes in, with their provision of the necessary sustainability and reliability of information via proven, well-engineered platforms, all with the necessary interoperability and openness as guaranteed through the adoption of established standards. Information technology (IT) giants such as Google, Facebook, IBM and Apple are well known for aggregating just about every aspect of life in modern society, from our music to our mood swings. A use case of the Environmental Systems Research Institute (aka Esri) is presented as a geospatial aggregator. It has over the years, compiled, assembled and produced a carefully curated library of public content into a global "Living Atlas of the World," organized into different themes such as Earth observation, transportation, demographics, natural hazards, ecological land units, elevation, and more. Among a myriad of decision scenarios with this content to be presented is the tracking of sea ice in the Arctic, estimating potential impact to shipping lanes or coastal infrastructure, and forecasting future conditions. Esri as the main aggregator of Living Atlas content continues to welcome not only contributors who will publish new content to be included in this global Atlas, but fellow curators who will assist in reviewing, organizing, and even approving that content, thereby helping to increase and ensure its quality over time.

Digital Data Set of Orchards Where Arsenical Pesticides Were Likely Used in Clarke and Frederick Counties, Virginia, and Berkeley and Jefferson Counties, West Virginia

USGS Publications Warehouse

Reed, Bradley W.; Larkins, Peter; Robinson, Gilpin R.

2006-01-01

This Fact Sheet provides information on a digital data set that identifies orchard areas under cultivation between the 1920s and 1960s in Clarke and Frederick Counties, Virginia and Berkeley and Jefferson Counties, West Virginia. The apple orchards in these areas likely used arsenical pesticides during this time. The digital data set can be used in a geographic information system (GIS) to identify where elevated arsenic and lead concentrations may be present in soils. The digital data set, the associated metadata, and the related files are available on the World Wide Web at http://pubs.usgs.gov/of/2006/1330/shapefile/.

Geospatial and clinical analyses on pediatric related road traffic injury in Malaysia.

PubMed

Rahman, Nik Hisamuddin; Rainis, Ruslan; Noor, Syed Hatim; Syed Mohamad, Sharifah Mastura

2016-01-01

The main aim of this study is to utilize the geographical information system (GIS) software and perform the spatial analysis in relation to clinical data for road traffic injury (RTI) pediatric cases attending the emergency department. The study sample included pediatric patients (age less than 18 years) with road-related injuries within a district in Malaysia who attended emergency departments of two tertiary hospitals within the district. In addition to injury, pre-hospital care and outcome data, the coordinate of the locations were obtained by the ambulance paramedics by using portable handheld GPS unit brand Garmin(®) model GPS 72 H. The data was transferred into the excel format which in turn underwent GIS analysis by using ARCGIS(®) (by ESRI) software version 10.1 licensed to the study institution. A total of 102 (24.8%) of all motor vehicle crash (MVC) victims involved the pediatric age group (age 18 years and below). The mean (SD) age of the pediatric victims was 14.30 years (SD 3.830). Male comprised of 68 (66.7%) of the cases. Motorcyclists [88 (88.0%)] were the most common type of victims involved. Interestingly, the majority of the severely injured victims [75 (73%)] sustained the RTI on roads with maximum speed limit of 60 km/hour. The mean (SD) length of hospital stay was 7.83 days (5.59). The pediatric related road traffic injury in Malaysia causes significant health and social burden in the country. This study showed both important clinical and geographical factors that need to be taken into consideration for future preventive action.

Data Basin Aquatic Center: expanding access to aquatic conservation data, analysis tools, people and practical answers

NASA Astrophysics Data System (ADS)

Osborne-Gowey, J.; Strittholt, J.; Bergquist, J.; Ward, B. C.; Sheehan, T.; Comendant, T.; Bachelet, D. M.

2009-12-01

The world’s aquatic resources are experiencing anthropogenic pressures on an unprecedented scale and aquatic organisms are experiencing widespread population changes and ecosystem-scale habitat alterations. Climate change is likely to exacerbate these threats, in some cases reducing the range of native North American fishes by 20-100% (depending on the location of the population and the model assumptions). Scientists around the globe are generating large volumes of data that vary in quality, format, supporting documentation, and accessibility. Moreover, diverse models are being run at various temporal and spatial scales as scientists attempt to understand previous (and project future) human impacts to aquatic species and their habitats. Conservation scientists often struggle to synthesize this wealth of information for developing practical on-the-ground management strategies. As a result, the best available science is often not utilized in the decision-making and adaptive management processes. As aquatic conservation problems around the globe become more serious and the demand to solve them grows more urgent, scientists and land-use managers need a new way to bring strategic, science-based, and action-oriented approaches to aquatic conservation. The Conservation Biology Institute (CBI), with partners such as ESRI, is developing an Aquatic Center as part of a dynamic, web-based resource (Data Basin; http: databasin.org) that centralizes usable aquatic datasets and provides analytical tools to visualize, analyze, and communicate findings for practical applications. To illustrate its utility, we present example datasets of varying spatial scales and synthesize multiple studies to arrive at novel solutions to aquatic threats.

Addressing an I/O Bottleneck in a Web-Based CERES QC Tool

NASA Astrophysics Data System (ADS)

Heckert, E.; Sun-Mack, S.; Chen, Y.; Chu, C.; Smith, R. A.

2016-12-01

In this poster, we explore the technologies we have used to overcome the problem of transmitting and analyzing large datasets in our web-based CERES Quality Control tool and consider four technologies to potentially adopt for future performance improvements. The CERES team uses this tool to validate pixel-level data from Terra, Aqua, SNPP, MSG, MTSAT, and many geostationary GOES satellites, as well as to develop cloud retrieval algorithms. The tool includes a histogram feature that allows the user to aggregate data from many different timestamps and different scenes globally or locally selected by the user by drawing bounding boxes. In order to provide a better user experience, the tool passes a large amount of data to the user's browser. The browser then processes the data in order to present it to users in various formats, for example as a histogram. In addition to using multiple servers to subset data and pass a smaller set of data to the browser, the tool also makes use of a compression technology, Gzip, to reduce the size of the data. However, sometimes the application in the browser is still slow when dealing with these large sets of data due to the delay in the browser receiving the server's response. To address this I/O bottleneck, we will investigate four alternatives and present the results in this poster: 1) sending uncompressed data, 2) ESRI's Limited Error Raster Compression (LERC), 3) Gzip, and 4) WebSocket protocol. These approaches are compared to each other and to the uncompressed control to determine the optimal solution.

Geospatial and clinical analyses on pediatric related road traffic injury in Malaysia

PubMed Central

Rahman, Nik Hisamuddin; Rainis, Ruslan; Noor, Syed Hatim; Syed Mohamad, Sharifah Mastura

2016-01-01

BACKGROUND: The main aim of this study is to utilize the geographical information system (GIS) software and perform the spatial analysis in relation to clinical data for road traffic injury (RTI) pediatric cases attending the emergency department. METHODS: The study sample included pediatric patients (age less than 18 years) with road-related injuries within a district in Malaysia who attended emergency departments of two tertiary hospitals within the district. In addition to injury, pre-hospital care and outcome data, the coordinate of the locations were obtained by the ambulance paramedics by using portable handheld GPS unit brand Garmin® model GPS 72 H. The data was transferred into the excel format which in turn underwent GIS analysis by using ARCGIS® (by ESRI) software version 10.1 licensed to the study institution. RESULTS: A total of 102 (24.8%) of all motor vehicle crash (MVC) victims involved the pediatric age group (age 18 years and below). The mean (SD) age of the pediatric victims was 14.30 years (SD 3.830). Male comprised of 68 (66.7%) of the cases. Motorcyclists [88 (88.0%)] were the most common type of victims involved. Interestingly, the majority of the severely injured victims [75 (73%)] sustained the RTI on roads with maximum speed limit of 60 km/hour. The mean (SD) length of hospital stay was 7.83 days (5.59). CONCLUSION: The pediatric related road traffic injury in Malaysia causes significant health and social burden in the country. This study showed both important clinical and geographical factors that need to be taken into consideration for future preventive action. PMID:27547282

Terrain - Umbra Package v. 1.0

DOE Office of Scientific and Technical Information (OSTI.GOV)

Oppel, Fred; Hart, Brian; Rigdon, James Brian

This library contains modules that read terrain files (e.g., OpenFlight, Open Scene Graph IVE, GeoTIFF Image) and to read and manage ESRI terrain datasets. All data is stored and managed in Open Scene Graph (OSG). Terrain system accesses OSG and provides elevation data, access to meta-data such as soil types and enables linears, areals and buildings to be placed in a terrain, These geometry objects include boxes, point, path, and polygon (region), and sector modules. Utilities have been made available for clamping objects to the terrain and accessing LOS information. This assertion includes a managed C++ wrapper code (TerrainWrapper) tomore » enable C# applications, such as OpShed and UTU, to incorporate this library.« less

Approximate Boundaries for West Lake Landfill, Missouri, 2014, EPA REG 07

EPA Pesticide Factsheets

This ESRI File Geodatabase Feature Class contains polygons for GIS depicting the approximate boundaries for West Lake Landfill (MOD079900932), Missouri, 2014, EPA REG 07These polygons are for graphically representing the site. The estimated boundary was developed using St. Louis County Parcels (2014). The boundaries of the individual landfill cells and areas within the site are interpolated based on sample results from the Remedial Investigation Report, ??EMSI, 2000, Remedial Investigation Report, West Lake Landfill Operable Unit 1, April 10.??Boundaries for Operational Units derived from CAD drawings provided by Aquaterra Environmental Solutions, Inc based on work provided by Herst & Associates Inc. and published in the Record of Decision, West Lake Landfill Site, Bridgeton, Missouri, Operable Unit 2, July 2008. CERCLIS ID MOD079900932.

Electron Localization in Molecular Fragmentation of H{sub 2} by Carrier-Envelope Phase Stabilized Laser Pulses

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kremer, Manuel; Fischer, Bettina; Feuerstein, Bernold

2009-11-20

Fully differential data for H{sub 2} dissociation in ultrashort (6 fs, 760 nm), linearly polarized, intense (0.44 PW/cm{sup 2}) laser pulses with a stabilized carrier-envelope phase (CEP) were recorded with a reaction microscope. Depending on the CEP, the molecular orientation, and the kinetic energy release (KER), we find asymmetric proton emission at low KERs (0-3 eV), basically predicted by Roudnev and Esry, and much stronger than reported by Kling et al. Wave packet propagation calculations reproduce the salient features and discard, together with the observed KER-independent electron asymmetry, the first ionization step to be the reason for the asymmetric protonmore » emission.« less

A General Provincial Situation Visualization System Based on iPhone Operating System of Shandong Province

NASA Astrophysics Data System (ADS)

Ye, Z.; Xiang, H.

2014-04-01

The paper discusses the basic principles and the problem solutions during the design and implementation of the mobile GIS system, and base on the research result, we developed the General Provincial Situation Visualization System Based on iOS of Shandong Province. The system is developed in the Objective-C programming language, and use the ArcGIS Runtime SDK for IOS as the development tool to call the "World-map Shandong" services to implement the development of the General Provincial Situation Visualization System Based on iOS devices. The system is currently available for download in the Appstore and is chosen as the typical application case of ESRI China ArcGIS API for iOS.

Online, interactive assessment of geothermal energy potential in the U.S

NASA Astrophysics Data System (ADS)

Allison, M. L.; Richard, S. M.; Clark, R.; Coleman, C.; Love, D.; Pape, E.; Musil, L.

2011-12-01

Geothermal-relevant geosciences data from all 50 states (www.stategeothermaldata.org), federal agencies, national labs, and academic centers are being digitized and linked in a distributed network via the U.S. Department of Energy-funded National Geothermal Data System (NGDS) to foster geothermal energy exploration and development through use of interactive online 'mashups,' data integration, and applications. Emphasis is first to make as much information as possible accessible, with a long range goal to make data interoperable through standardized services and interchange formats. Resources may be made available as documents (files) in whatever format they are currently in, converted to tabular files using standard content models, or published as Open Geospatial Consortium or ESRI Web services using the standard xml schema. An initial set of thirty geoscience data content models are in use or under development to define standardized interchange format: aqueous chemistry, borehole temperature data, direct use feature, drill stem test, earthquake hypocenter, fault feature, geologic contact feature, geologic unit feature, thermal/hot spring description, metadata, quaternary fault, volcanic vent description, well header feature, borehole lithology log, crustal stress, gravity, heat flow/temperature gradient, permeability, and feature description data like developed geothermal systems, geologic unit geothermal properties, permeability, production data, rock alteration description, rock chemistry, and thermal conductivity. Map services are also being developed for isopach maps (depth to bedrock), aquifer temperature maps, and several states are working on geothermal resource overview maps. Content models are developed preferentially from existing community use in order to encourage widespread adoption and promulgate minimum metadata quality standards. Geoscience data and maps from NGDS participating institutions (USGS, Southern Methodist University, Boise State University Geothermal Data Coalition) are being supplemented with extensive land management and land use resources from the Western Regional Partnership (15 federal agencies and 5 Western states) to provide access to a comprehensive, holistic set of data critical to geothermal energy development. As of August 2011, over 33,000 data resources have been registered in the system catalog, along with scores of Web services to deliver integrated data to the desktop for free downloading or online use. The data exchange mechanism is built on the U.S. Geoscience Information Network (USGIN, http://lab.usgin.org) protocols and standards developed in partnership with the U.S. Geological Survey.

Geological events in submerged areas: attributes and standards in the EMODnet Geology Project

NASA Astrophysics Data System (ADS)

Fiorentino, A.; Battaglini, L.; D'Angelo, S.

2017-12-01

EMODnet Geology is a European Project which promotes the collection and harmonization of marine geological data mapped by various national and regional mapping projects and recovered in the literature, in order to make them freely available through a web portal. Among the several features considered within the Project, "Geological events and probabilities" include submarine landslides, earthquakes, volcanic centers, tsunamis, fluid emissions and Quaternary faults in European Seas. Due to the different geological settings of European sea areas it was necessary to elaborate a comprehensive and detailed pattern of Attributes for the different features in order to represent the diverse characteristics of each occurrence. Datasets consist of shapefiles representing each event at 1:250,000 scale. The elaboration of guidelines to compile the shapefiles and attribute tables was aimed at identifying parameters that should be used to characterize events and any additional relevant information. Particular attention has been devoted to the definition of the Attribute table in order to achieve the best degree of harmonization and standardization according to the European INSPIRE Directive. One of the main objectives is the interoperability of data, in order to offer more complete, error-free and reliable information and to facilitate exchange and re-use of data even between non-homogeneous systems. Metadata and available information collected during the Project is displayed on the Portal (http://www.emodnet-geology.eu/) as polygons, lines and points layers according to their geometry. By combining all these data it might be possible to elaborate additional thematic maps which could support further research as well as land planning and management. A possible application is being experimented by the Geological Survey of Italy - ISPRA which, in cooperation with other Italian institutions contributing to EMODnet Geology, is working at the production of an update for submerged areas of the structural model of Italy.

Use of Google Earth to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments.

PubMed

Lozano-Fuentes, Saul; Elizondo-Quiroga, Darwin; Farfan-Ale, Jose Arturo; Loroño-Pino, Maria Alba; Garcia-Rejon, Julian; Gomez-Carro, Salvador; Lira-Zumbardo, Victor; Najera-Vazquez, Rosario; Fernandez-Salas, Ildefonso; Calderon-Martinez, Joaquin; Dominguez-Galera, Marco; Mis-Avila, Pedro; Morris, Natashia; Coleman, Michael; Moore, Chester G; Beaty, Barry J; Eisen, Lars

2008-09-01

Novel, inexpensive solutions are needed for improved management of vector-borne and other diseases in resource-poor environments. Emerging free software providing access to satellite imagery and simple editing tools (e.g. Google Earth) complement existing geographic information system (GIS) software and provide new opportunities for: (i) strengthening overall public health capacity through development of information for city infrastructures; and (ii) display of public health data directly on an image of the physical environment. We used freely accessible satellite imagery and a set of feature-making tools included in the software (allowing for production of polygons, lines and points) to generate information for city infrastructure and to display disease data in a dengue decision support system (DDSS) framework. Two cities in Mexico (Chetumal and Merida) were used to demonstrate that a basic representation of city infrastructure useful as a spatial backbone in a DDSS can be rapidly developed at minimal cost. Data layers generated included labelled polygons representing city blocks, lines representing streets, and points showing the locations of schools and health clinics. City blocks were colour-coded to show presence of dengue cases. The data layers were successfully imported in a format known as shapefile into a GIS software. The combination of Google Earth and free GIS software (e.g. HealthMapper, developed by WHO, and SIGEpi, developed by PAHO) has tremendous potential to strengthen overall public health capacity and facilitate decision support system approaches to prevention and control of vector-borne diseases in resource-poor environments.

A New Cyber-enabled Platform for Scale-independent Interoperability of Earth Observations with Hydrologic Models

NASA Astrophysics Data System (ADS)

Rajib, A.; Zhao, L.; Merwade, V.; Shin, J.; Smith, J.; Song, C. X.

2017-12-01

Despite the significant potential of remotely sensed earth observations, their application is still not full-fledged in water resources research, management and education. Inconsistent storage structures, data formats and spatial resolution among different platforms/sources of earth observations hinder the use of these data. Available web-services can help bulk data downloading and visualization, but they are not sufficiently tailored to meet the degree of interoperability required for direct application of earth observations in hydrologic modeling at user-defined spatio-temporal scales. Similarly, the least ambiguous way for educators and watershed managers is to instantaneously obtain a time-series at any watershed of interest without spending time and computational resources on data download and post-processing activities. To address this issue, an open access, online platform, named HydroGlobe, is developed that minimizes all these processing tasks and delivers ready-to-use data from different earth observation sources. HydroGlobe can provide spatially-averaged time series of earth observations by using the following inputs: (i) data source, (ii) temporal extent in the form of start/end date, and (iii) geographic units (e.g., grid cell or sub-basin boundary) and extent in the form of GIS shapefile. In its preliminary version, HydroGlobe simultaneously handles five data sources including the surface and root zone soil moisture from SMAP (Soil Moisture Active Passive Mission), actual and potential evapotranspiration from MODIS (Moderate Resolution Imaging Spectroradiometer), and precipitation from GPM (Global Precipitation Measurements). This presentation will demonstrate the HydroGlobe interface and its applicability using few test cases on watersheds from different parts of the globe.

Archive of single beam and swath bathymetry data collected nearshore of the Gulf Islands National Seashore, Mississippi, from West Ship Island, Mississippi, to Dauphin Island, Alabama: Methods and data report for USGS Cruises 08CCT01 and 08CCT02, July 2008, and 09CCT03 and 09CCT04, June 2009

USGS Publications Warehouse

DeWitt, Nancy T.; Flocks, James G.; Pendleton, Elizabeth A.; Hansen, Mark E.; Reynolds, B.J.; Kelso, Kyle W.; Wiese, Dana S.; Worley, Charles R.

2012-01-01

See the digital FACS equipment log for details about the acquisition equipment used. Raw datasets are stored digitally at the USGS St. Petersburg Coastal and Marine Science Center and processed systematically using Novatel's GrafNav version 7.6, SANDS version 3.7, SEA SWATHplus version 3.06.04.03, CARIS HIPS AND SIPS version 3.6, and ESRI ArcGIS version 9.3.1. For more information on processing refer to the Equipment and Processing page. Chirp seismic data were also collected during these surveys and are archived separately.

U.S. Geological Survey ArcMap Sediment Classification tool

USGS Publications Warehouse

O'Malley, John

2007-01-01

The U.S. Geological Survey (USGS) ArcMap Sediment Classification tool is a custom toolbar that extends the Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 9.2 Desktop application to aid in the analysis of seabed sediment classification. The tool uses as input either a point data layer with field attributes containing percentage of gravel, sand, silt, and clay or four raster data layers representing a percentage of sediment (0-100%) for the various sediment grain size analysis: sand, gravel, silt and clay. This tool is designed to analyze the percent of sediment at a given location and classify the sediments according to either the Folk (1954, 1974) or Shepard (1954) as modified by Schlee(1973) classification schemes. The sediment analysis tool is based upon the USGS SEDCLASS program (Poppe, et al. 2004).

Enabling Web-Based GIS Tools for Internet and Mobile Devices To Improve and Expand NASA Data Accessibility and Analysis Functionality for the Renewable Energy and Agricultural Applications

NASA Astrophysics Data System (ADS)

Ross, A.; Stackhouse, P. W.; Tisdale, B.; Tisdale, M.; Chandler, W.; Hoell, J. M., Jr.; Kusterer, J.

2014-12-01

The NASA Langley Research Center Science Directorate and Atmospheric Science Data Center have initiated a pilot program to utilize Geographic Information System (GIS) tools that enable, generate and store climatological averages using spatial queries and calculations in a spatial database resulting in greater accessibility of data for government agencies, industry and private sector individuals. The major objectives of this effort include the 1) Processing and reformulation of current data to be consistent with ESRI and openGIS tools, 2) Develop functions to improve capability and analysis that produce "on-the-fly" data products, extending these past the single location to regional and global scales. 3) Update the current web sites to enable both web-based and mobile application displays for optimization on mobile platforms, 4) Interact with user communities in government and industry to test formats and usage of optimization, and 5) develop a series of metrics that allow for monitoring of progressive performance. Significant project results will include the the development of Open Geospatial Consortium (OGC) compliant web services (WMS, WCS, WFS, WPS) that serve renewable energy and agricultural application products to users using GIS software and tools. Each data product and OGC service will be registered within ECHO, the Common Metadata Repository, the Geospatial Platform, and Data.gov to ensure the data are easily discoverable and provide data users with enhanced access to SSE data, parameters, services, and applications. This effort supports cross agency, cross organization, and interoperability of SSE data products and services by collaborating with DOI, NRCan, NREL, NCAR, and HOMER for requirements vetting and test bed users before making available to the wider public.

Evaluating County-Level Heat Vulnerability and Social Inequity in the United States through Climate and Socioeconomic Indices

NASA Astrophysics Data System (ADS)

Gannon, C.

2016-12-01

Climate change will have many impacts on human health, perhaps most directly through extreme heat. High temperature and humidity combinations inhibit the body's ability to cool through physiological responses such as sweating. In conjunction with extended periods of extreme heat and shifted seasonality, these conditions are particularly dangerous. Current research and literature can be used to show where dangerous heat and humidity conditions are likely to be most prevalent, or where populations vulnerable to heat stress reside. To provide a better assessment of overall heat vulnerability, however, many complex factors, such as relative changes in temperature patterns or local socioeconomic conditions, must also be considered. Here, we utilize a multivariate approach to establish county-level risk scores by combining the most relevant indicators for heat vulnerability with climate model projections of wet bulb globe temperature, a metric useful for understanding how the human body will respond to conditions of high heat and humidity. We present our findings as an ESRI ArcOnline Story Map with data aggregated at the county-level in the continental United States. This format allows users to access maps showing each county's score in four categories related to heat vulnerability: heat and humidity hazards, population vulnerability, medical access, and physical infrastructure. A final map showcases a composite heat vulnerability score for each county, with comparisons to state and national averages. Our tool, part of the White House's Climate Data Initiative, is presented as a series of maps with a normalized scoring system to provide clear and easy access to the indicators most relevant to evaluating heat vulnerability at a local level. Ultimately, this readily available tool with general indices helps community decision makers communicate heat vulnerability and identify which resilience factors are most critical to improving local resilience.

Big Data, Small Data: Accessing and Manipulating Geoscience Data Ranging From Repositories to Student-Collected Data Sets Using GeoMapApp

NASA Astrophysics Data System (ADS)

Goodwillie, A. M.

2015-12-01

We often demand information and data to be accessible over the web at no cost, and no longer do we expect to spend time labouriously compiling data from myriad sources with frustratingly-different formats. Instead, we increasingly expect convenience and consolidation. Recent advances in web-enabled technologies and cyberinfrastructure are answering those calls by providing data tools and resources that can transform undergraduate education. By freeing up valuable classroom time, students can focus upon gaining deeper insights and understanding from real-world data. GeoMapApp (http://www.geomapapp.org) is a map-based data discovery and visualisation tool developed at Lamont-Doherty Earth Observatory. GeoMapApp promotes U-Learning by working across all major computer platforms and functioning anywhere with internet connectivity, by lowering socio-economic barriers (it is free), by seamlessly integrating thousands of built-in research-grade data sets under intuitive menus, and by being adaptable to a range of learning environments - from lab sessions, group projects, and homework assignments to in-class pop-ups. GeoMapApp caters to casual and specialist users alike. Contours, artificial illumination, 3-D displays, data point manipulations, cross-sectional profiles, and other display techniques help students better grasp the content and geospatial context of data. Layering capabilities allow easy data set comparisons. The core functionality also applies to imported data sets: Student-collected data can thus be imported and analysed using the same techniques. A new Save Session function allows educators to preserve a pre-loaded state of GeoMapApp. When shared with a class, the saved file allows every student to open GeoMapApp at exactly the same starting point from which to begin their data explorations. Examples of built-in data sets include seafloor crustal age, earthquake locations and focal mechanisms, analytical geochemistry, ocean water physical properties, US and international geological maps, and satellite imagery. Student-generated data sets can be imported in Excel, ASCII, shapefile, and gridded format. Base maps can be saved for posters and publications. A wide range of undergraduate enquiry-driven education modules for GeoMapApp is already available at SERC.

geoKepler Workflow Module for Computationally Scalable and Reproducible Geoprocessing and Modeling

NASA Astrophysics Data System (ADS)

Cowart, C.; Block, J.; Crawl, D.; Graham, J.; Gupta, A.; Nguyen, M.; de Callafon, R.; Smarr, L.; Altintas, I.

2015-12-01

The NSF-funded WIFIRE project has developed an open-source, online geospatial workflow platform for unifying geoprocessing tools and models for for fire and other geospatially dependent modeling applications. It is a product of WIFIRE's objective to build an end-to-end cyberinfrastructure for real-time and data-driven simulation, prediction and visualization of wildfire behavior. geoKepler includes a set of reusable GIS components, or actors, for the Kepler Scientific Workflow System (https://kepler-project.org). Actors exist for reading and writing GIS data in formats such as Shapefile, GeoJSON, KML, and using OGC web services such as WFS. The actors also allow for calling geoprocessing tools in other packages such as GDAL and GRASS. Kepler integrates functions from multiple platforms and file formats into one framework, thus enabling optimal GIS interoperability, model coupling, and scalability. Products of the GIS actors can be fed directly to models such as FARSITE and WRF. Kepler's ability to schedule and scale processes using Hadoop and Spark also makes geoprocessing ultimately extensible and computationally scalable. The reusable workflows in geoKepler can be made to run automatically when alerted by real-time environmental conditions. Here, we show breakthroughs in the speed of creating complex data for hazard assessments with this platform. We also demonstrate geoKepler workflows that use Data Assimilation to ingest real-time weather data into wildfire simulations, and for data mining techniques to gain insight into environmental conditions affecting fire behavior. Existing machine learning tools and libraries such as R and MLlib are being leveraged for this purpose in Kepler, as well as Kepler's Distributed Data Parallel (DDP) capability to provide a framework for scalable processing. geoKepler workflows can be executed via an iPython notebook as a part of a Jupyter hub at UC San Diego for sharing and reporting of the scientific analysis and results from various runs of geoKepler workflows. The communication between iPython and Kepler workflow executions is established through an iPython magic function for Kepler that we have implemented. In summary, geoKepler is an ecosystem that makes geospatial processing and analysis of any kind programmable, reusable, scalable and sharable.

Combined Hydrologic (AGWA-KINEROS2) and Hydraulic (HEC2) Modeling for Post-Fire Runoff and Inundation Risk Assessment through a Set of Python Tools

NASA Astrophysics Data System (ADS)

Barlow, J. E.; Goodrich, D. C.; Guertin, D. P.; Burns, I. S.

2016-12-01

Wildfires in the Western United States can alter landscapes by removing vegetation and changing soil properties. These altered landscapes produce more runoff than pre-fire landscapes which can lead to post-fire flooding that can damage infrastructure and impair natural resources. Resources, structures, historical artifacts and others that could be impacted by increased runoff are considered values at risk. .The Automated Geospatial Watershed Assessment tool (AGWA) allows users to quickly set up and execute the Kinematic Runoff and Erosion model (KINEROS2 or K2) in the ESRI ArcMap environment. The AGWA-K2 workflow leverages the visualization capabilities of GIS to facilitate evaluation of rapid watershed assessments for post-fire planning efforts. High relative change in peak discharge, as simulated by K2, provides a visual and numeric indicator to investigate those channels in the watershed that should be evaluated for more detailed analysis, especially if values at risk are within or near that channel. Modeling inundation extent along a channel would provide more specific guidance about risk along a channel. HEC-2 and HEC-RAS can be used for hydraulic modeling efforts at the reach and river system scale. These models have been used to address flood boundaries and, accordingly, flood risk. However, data collection and organization for hydraulic models can be time consuming and therefore a combined hydrologic-hydraulic modeling approach is not often employed for rapid assessments. A simplified approach could streamline this process and provide managers with a simple workflow and tool to perform a quick risk assessment for a single reach. By focusing on a single reach highlighted by large relative change in peak discharge, data collection efforts can be minimized and the hydraulic computations can be performed to supplement risk analysis. The incorporation of hydraulic analysis through a suite of Python tools (as outlined by HEC-2) with AGWA-K2 will allow more rapid applications of combined hydrologic-hydraulic modeling. This combined modeling approach is built in the ESRI ArcGIS application to enable rapid model preparation, execution and result visualization for risk assessment in post-fire environments.

A Web Geographic Information System to share data and explorative analysis tools: The application to West Nile disease in the Mediterranean basin.

PubMed

Savini, Lara; Tora, Susanna; Di Lorenzo, Alessio; Cioci, Daniela; Monaco, Federica; Polci, Andrea; Orsini, Massimiliano; Calistri, Paolo; Conte, Annamaria

2018-01-01

In the last decades an increasing number of West Nile Disease cases was observed in equines and humans in the Mediterranean basin and surveillance systems are set up in numerous countries to manage and control the disease. The collection, storage and distribution of information on the spread of the disease becomes important for a shared intervention and control strategy. To this end, a Web Geographic Information System has been developed and disease data, climatic and environmental remote sensed data, full genome sequences of selected isolated strains are made available. This paper describes the Disease Monitoring Dashboard (DMD) web system application, the tools available for the preliminary analysis on climatic and environmental factors and the other interactive tools for epidemiological analysis. WNV occurrence data are collected from multiple official and unofficial sources. Whole genome sequences and metadata of WNV strains are retrieved from public databases or generated in the framework of the Italian surveillance activities. Climatic and environmental data are provided by NASA website. The Geographical Information System is composed by Oracle 10g Database and ESRI ArcGIS Server 10.03; the web mapping client application is developed with the ArcGIS API for Javascript and Phylocanvas library to facilitate and optimize the mash-up approach. ESRI ArcSDE 10.1 has been used to store spatial data. The DMD application is accessible through a generic web browser at https://netmed.izs.it/networkMediterraneo/. The system collects data through on-line forms and automated procedures and visualizes data as interactive graphs, maps and tables. The spatial and temporal dynamic visualization of disease events is managed by a time slider that returns results on both map and epidemiological curve. Climatic and environmental data can be associated to cases through python procedures and downloaded as Excel files. The system compiles multiple datasets through user-friendly web tools; it integrates entomological, veterinary and human surveillance, molecular information on pathogens and environmental and climatic data. The principal result of the DMD development is the transfer and dissemination of knowledge and technologies to develop strategies for integrated prevention and control measures of animal and human diseases.

Nuclear war between Israel and Iran: lethality beyond the pale

PubMed Central

2013-01-01

Background The proliferation of nuclear technology in the politically volatile Middle East greatly increases the likelihood of a catastrophic nuclear war. It is widely accepted, while not openly declared, that Israel has nuclear weapons, and that Iran has enriched enough nuclear material to build them. The medical consequences of a nuclear exchange between Iran and Israel in the near future are envisioned, with a focus on the distribution of casualties in urban environments. Methods Model estimates of nuclear war casualties employed ESRI's ArcGIS 9.3, blast and prompt radiation were calculated using the Defense Nuclear Agency's WE program, and fallout radiation was calculated using the Defense Threat Reduction Agency's (DTRA's) Hazard Prediction and Assessment Capability (HPAC) V404SP4, as well as custom GIS and database software applications. Further development for thermal burn casualties was based on Brode, as modified by Binninger, to calculate thermal fluence. ESRI ArcGISTM programs were used to calculate affected populations from the Oak Ridge National Laboratory's LandScanTM 2007 Global Population Dataset for areas affected by thermal, blast and radiation data. Results Trauma, thermal burn, and radiation casualties were thus estimated on a geographic basis for three Israeli and eighteen Iranian cities. Nuclear weapon detonations in the densely populated cities of Iran and Israel will result in an unprecedented millions of numbers of dead, with millions of injured suffering without adequate medical care, a broad base of lingering mental health issues, a devastating loss of municipal infrastructure, long-term disruption of economic, educational, and other essential social activity, and a breakdown in law and order. Conclusions This will cause a very limited medical response initially for survivors in Iran and Israel. Strategic use of surviving medical response and collaboration with international relief could be expedited by the predicted casualty distributions and locations. The consequences for health management of thermal burn and radiation patients is the worst, as burn patients require enormous resources to treat, and there will be little to no familiarity with the treatment of radiation victims. Any rational analysis of a nuclear war between Iran and Israel reveals the utterly unacceptable outcomes for either nation. PMID:23663406

Usability evaluation of cloud-based mapping tools for the display of very large datasets

NASA Astrophysics Data System (ADS)

Stotz, Nicole Marie

The elasticity and on-demand nature of cloud services have made it easier to create web maps. Users only need access to a web browser and the Internet to utilize cloud based web maps, eliminating the need for specialized software. To encourage a wide variety of users, a map must be well designed; usability is a very important concept in designing a web map. Fusion Tables, a new product from Google, is one example of newer cloud-based distributed GIS services. It allows for easy spatial data manipulation and visualization, within the Google Maps framework. ESRI has also introduced a cloud based version of their software, called ArcGIS Online, built on Amazon's EC2 cloud. Utilizing a user-centered design framework, two prototype maps were created with data from the San Diego East County Economic Development Council. One map was built on Fusion Tables, and another on ESRI's ArcGIS Online. A usability analysis was conducted and used to compare both map prototypes in term so of design and functionality. Load tests were also ran, and performance metrics gathered on both map prototypes. The usability analysis was taken by 25 geography students, and consisted of time based tasks and questions on map design and functionality. Survey participants completed the time based tasks for the Fusion Tables map prototype quicker than those of the ArcGIS Online map prototype. While response was generally positive towards the design and functionality of both prototypes, overall the Fusion Tables map prototype was preferred. For the load tests, the data set was broken into 22 groups for a total of 44 tests. While the Fusion Tables map prototype performed more efficiently than the ArcGIS Online prototype, differences are almost unnoticeable. A SWOT analysis was conducted for each prototype. The results from this research point to the Fusion Tables map prototype. A redesign of this prototype would incorporate design suggestions from the usability survey, while some functionality would need to be dropped. This is a free product and would therefore be the best option if cost is an issue, but this map may not be supported in the future.

Structural Data for the Columbus Salt Marsh Geothermal Area - GIS Data

DOE Data Explorer

Faulds, James E.

2011-12-31

Shapefiles and spreadsheets of structural data, including attitudes of faults and strata and slip orientations of faults. - Detailed geologic mapping of ~30 km2 was completed in the vicinity of the Columbus Marsh geothermal field to obtain critical structural data that would elucidate the structural controls of this field. - Documenting E‐ to ENE‐striking left lateral faults and N‐ to NNE‐striking normal faults. - Some faults cut Quaternary basalts. - This field appears to occupy a displacement transfer zone near the eastern end of a system of left‐lateral faults. ENE‐striking sinistral faults diffuse into a system of N‐ to NNE‐striking normal faults within the displacement transfer zone. - Columbus Marsh therefore corresponds to an area of enhanced extension and contains a nexus of fault intersections, both conducive for geothermal activity.

Characteristics of Urbanization in Five Watersheds of Anchorage, Alaska: Geographic Information System Data

USGS Publications Warehouse

Moran, Edward H.

2002-01-01

The report contains environmental and urban geographic information system data for 14 sites in 5 watersheds in Anchorage, Alaska. These sites were examined during summer in 1999 and 2000 to determine effects of urbanization on water quality. The data sets are Environmental Systems Research Institute, Inc., shapefiles, coverages, and images. Also included are an elevation grid and a triangulated irregular network. Although the data are intended for users with advanced geographic information system capabilities, simple images of the data also are available. ArcView? 3.2 project, an ArcGIS? project, and 16 ArcExplorer2? projects are linked to the PDF file based report. Some of these coverages are large files over 10 MB. The largest coverage, impervious cover, is 208 MB.

Favorable Geochemistry from Springs and Wells in Colorado

DOE Data Explorer

Richard E. Zehner

2012-02-01

This layer contains favorable geochemistry for high-temperature geothermal systems, as interpreted by Richard "Rick" Zehner. The data is compiled from the data obtained from the USGS. The original data set combines 15,622 samples collected in the State of Colorado from several sources including 1) the original Geotherm geochemical database, 2) USGS NWIS (National Water Information System), 3) Colorado Geological Survey geothermal sample data, and 4) original samples collected by R. Zehner at various sites during the 2011 field season. These samples are also available in a separate shapefile FlintWaterSamples.shp. Data from all samples were reportedly collected using standard water sampling protocols (filtering through 0.45 micron filter, etc.) Sample information was standardized to ppm (micrograms/liter) in spreadsheet columns. Commonly-used cation and silica geothermometer temperature estimates are included.

CRUMP 2003 Selected Water Sample Results

EPA Pesticide Factsheets

Point locations and water sampling results performed in 2003 by the Church Rock Uranium Monitoring Project (CRUMP) a consortium of organizations (Navajo Nation Environmental Protection Agency, US Environmental Protection Agency, New Mexico Scientific Laboratory Division, Navajo Tribal Utility Authority and NM Water Quality Control Commission). Samples include general description of the wells sampled, general chemistry, heavy metals and aestheic parameters, and selected radionuclides. Here only six sampling results are presented in this point shapefile, including: Gross Alpha (U-Nat Ref.) (pCi/L), Gross Beta (Sr/Y-90 Ref.) (pCi/L), Radium-226 (pCi/L), Radium-228 (pCi/L), Total Uranium (pCi/L), and Uranium mass (ug/L). The CRUMP samples were collected in the area of Churchrock, NM in the Eastern AUM Region of the Navajo Nation.

Metacatalog of Planetary Surface Features for Multicriteria Evaluation of Surface Evolution: the Integrated Planetary Feature Database

NASA Astrophysics Data System (ADS)

Hargitai, Henrik

2016-10-01

We have created a metacatalog, or catalog or catalogs, of surface features of Mars that also includes the actual data in the catalogs listed. The goal is to make mesoscale surface feature databases available in one place, in a GIS-ready format. The databases can be directly imported to ArcGIS or other GIS platforms, like Google Mars. Some of the catalogs in our database are also ingested into the JMARS platform.All catalogs have been previously published in a peer-reviewed journal, but they may contain updates of the published catalogs. Many of the catalogs are "integrated", i.e. they merge databases or information from various papers on the same topic, including references to each individual features listed.Where available, we have included shapefiles with polygon or linear features, however, most of the catalogs only contain point data of their center points and morphological data.One of the unexpected results of the planetary feature metacatalog is that some features have been described by several papers, using different, i.e., conflicting designations. This shows the need for the development of an identification system suitable for mesoscale (100s m to km sized) features that tracks papers and thus prevents multiple naming of the same feature.The feature database can be used for multicriteria analysis of a terrain, thus enables easy distribution pattern analysis and the correlation of the distribution of different landforms and features on Mars. Such catalog makes a scientific evaluation of potential landing sites easier and more effective during the selection process and also supports automated landing site selections.The catalog is accessible at https://planetarydatabase.wordpress.com/.

Rooftop Energy Potential of Low Income Communities in America REPLICA

DOE Data Explorer

Mooney, Meghan (ORCID:0000000309406958); Sigrin, Ben

1970-01-01

The Rooftop Energy Potential of Low Income Communities in America REPLICA data set provides estimates of residential rooftop solar technical potential at the tract-level with emphasis on estimates for Low and Moderate Income LMI populations. In addition to technical potential REPLICA is comprised of 10 additional datasets at the tract-level to provide socio-demographic and market context. The model year vintage of REPLICA is 2015. The LMI solar potential estimates are made at the tract level grouped by Area Median Income AMI income tenure and building type. These estimates are based off of LiDAR data of 128 metropolitan areas statistical modeling and ACS 2011-2015 demographic data. The remaining datasets are supplemental datasets that can be used in conjunction with the technical potential data for general LMI solar analysis planning and policy making. The core dataset is a wide-format CSV file seeds_ii_replica.csv that can be tagged to a tract geometry using the GEOID or GISJOIN fields. In addition users can download geographic shapefiles for the main or supplemental datasets. This dataset was generated as part of the larger NREL-led SEEDSII Solar Energy Evolution and Diffusion Studies project and specifically for the NREL technical report titled Rooftop Solar Technical Potential for Low-to-Moderate Income Households in the United States by Sigrin and Mooney 2018. This dataset is intended to give researchers planners advocates and policy-makers access to credible data to analyze low-income solar issues and potentially perform cost-benefit analysis for program design. To explore the data in an interactive web mapping environment use the NREL SolarForAll app.

Feature Geo Analytics and Big Data Processing: Hybrid Approaches for Earth Science and Real-Time Decision Support

NASA Astrophysics Data System (ADS)

Wright, D. J.; Raad, M.; Hoel, E.; Park, M.; Mollenkopf, A.; Trujillo, R.

2016-12-01

Introduced is a new approach for processing spatiotemporal big data by leveraging distributed analytics and storage. A suite of temporally-aware analysis tools summarizes data nearby or within variable windows, aggregates points (e.g., for various sensor observations or vessel positions), reconstructs time-enabled points into tracks (e.g., for mapping and visualizing storm tracks), joins features (e.g., to find associations between features based on attributes, spatial relationships, temporal relationships or all three simultaneously), calculates point densities, finds hot spots (e.g., in species distributions), and creates space-time slices and cubes (e.g., in microweather applications with temperature, humidity, and pressure, or within human mobility studies). These "feature geo analytics" tools run in both batch and streaming spatial analysis mode as distributed computations across a cluster of servers on typical "big" data sets, where static data exist in traditional geospatial formats (e.g., shapefile) locally on a disk or file share, attached as static spatiotemporal big data stores, or streamed in near-real-time. In other words, the approach registers large datasets or data stores with ArcGIS Server, then distributes analysis across a cluster of machines for parallel processing. Several brief use cases will be highlighted based on a 16-node server cluster at 14 Gb RAM per node, allowing, for example, the buffering of over 8 million points or thousands of polygons in 1 minute. The approach is "hybrid" in that ArcGIS Server integrates open-source big data frameworks such as Apache Hadoop and Apache Spark on the cluster in order to run the analytics. In addition, the user may devise and connect custom open-source interfaces and tools developed in Python or Python Notebooks; the common denominator being the familiar REST API.

Moderate-resolution sea surface temperature data and seasonal pattern analysis for the Arctic Ocean ecoregions

USGS Publications Warehouse

Payne, Meredith C.; Reusser, Deborah A.; Lee, Henry

2012-01-01

Sea surface temperature (SST) is an important environmental characteristic in determining the suitability and sustainability of habitats for marine organisms. In particular, the fate of the Arctic Ocean, which provides critical habitat to commercially important fish, is in question. This poses an intriguing problem for future research of Arctic environments - one that will require examination of long-term SST records. This publication describes and provides access to an easy-to-use Arctic SST dataset for ecologists, biogeographers, oceanographers, and other scientists conducting research on habitats and/or processes in the Arctic Ocean. The data cover the Arctic ecoregions as defined by the "Marine Ecoregions of the World" (MEOW) biogeographic schema developed by The Nature Conservancy as well as the region to the north from approximately 46°N to about 88°N (constrained by the season and data coverage). The data span a 29-year period from September 1981 to December 2009. These SST data were derived from Advanced Very High Resolution Radiometer (AVHRR) instrument measurements that had been compiled into monthly means at 4-kilometer grid cell spatial resolution. The processed data files are available in ArcGIS geospatial datasets (raster and point shapefiles) and also are provided in text (.csv) format. All data except the raster files include attributes identifying latitude/longitude coordinates, and realm, province, and ecoregion as defined by the MEOW classification schema. A seasonal analysis of these Arctic ecoregions reveals a wide range of SSTs experienced throughout the Arctic, both over the course of an annual cycle and within each month of that cycle. Sea ice distribution plays a major role in SST regulation in all Arctic ecoregions.

Use of StreamStats in the Upper French Broad River Basin, North Carolina: A Pilot Water-Resources Web Application

USGS Publications Warehouse

Wagner, Chad R.; Tighe, Kirsten C.; Terziotti, Silvia

2009-01-01

StreamStats is a Web-based Geographic Information System (GIS) application that was developed by the U.S. Geological Survey (USGS) in cooperation with Environmental Systems Research Institute, Inc. (ESRI) to provide access to an assortment of analytical tools that are useful for water-resources planning and management. StreamStats allows users to easily obtain streamflow statistics, basin characteristics, and descriptive information for USGS data-collection sites and selected ungaged sites. StreamStats also allows users to identify stream reaches upstream and downstream from user-selected sites and obtain information for locations along streams where activities occur that can affect streamflow conditions. This functionality can be accessed through a map-based interface with the user's Web browser or through individual functions requested remotely through other Web applications.

The GeoDataPortal: A Standards-based Environmental Modeling Data Access and Manipulation Toolkit

NASA Astrophysics Data System (ADS)

Blodgett, D. L.; Kunicki, T.; Booth, N.; Suftin, I.; Zoerb, R.; Walker, J.

2010-12-01

Environmental modelers from fields of study such as climatology, hydrology, geology, and ecology rely on many data sources and processing methods that are common across these disciplines. Interest in inter-disciplinary, loosely coupled modeling and data sharing is increasing among scientists from the USGS, other agencies, and academia. For example, hydrologic modelers need downscaled climate change scenarios and land cover data summarized for the watersheds they are modeling. Subsequently, ecological modelers are interested in soil moisture information for a particular habitat type as predicted by the hydrologic modeler. The USGS Center for Integrated Data Analytics Geo Data Portal (GDP) project seeks to facilitate this loose model coupling data sharing through broadly applicable open-source web processing services. These services simplify and streamline the time consuming and resource intensive tasks that are barriers to inter-disciplinary collaboration. The GDP framework includes a catalog describing projects, models, data, processes, and how they relate. Using newly introduced data, or sources already known to the catalog, the GDP facilitates access to sub-sets and common derivatives of data in numerous formats on disparate web servers. The GDP performs many of the critical functions needed to summarize data sources into modeling units regardless of scale or volume. A user can specify their analysis zones or modeling units as an Open Geospatial Consortium (OGC) standard Web Feature Service (WFS). Utilities to cache Shapefiles and other common GIS input formats have been developed to aid in making the geometry available for processing via WFS. Dataset access in the GDP relies primarily on the Unidata NetCDF-Java library’s common data model. Data transfer relies on methods provided by Unidata’s Thematic Real-time Environmental Data Distribution System Data Server (TDS). TDS services of interest include the Open-source Project for a Network Data Access Protocol (OPeNDAP) standard for gridded time series, the OGC’s Web Coverage Service for high-density static gridded data, and Unidata’s CDM-remote for point time series. OGC WFS and Sensor Observation Service (SOS) are being explored as mechanisms to serve and access static or time series data attributed to vector geometry. A set of standardized XML-based output formats allows easy transformation into a wide variety of “model-ready” formats. Interested users will have the option of submitting custom transformations to the GDP or transforming the XML output as a post-process. The GDP project aims to support simple, rapid development of thin user interfaces (like web portals) to commonly needed environmental modeling-related data access and manipulation tools. Standalone, service-oriented components of the GDP framework provide the metadata cataloging, data subset access, and spatial-statistics calculations needed to support interdisciplinary environmental modeling.

Land and federal mineral ownership coverage for southern Wyoming

USGS Publications Warehouse

Biewick, L.H.; Mercier, T.J.; Saber, T.T.; Urbanowski, S.R.; Neasloney, Larry

1999-01-01

This Arc/Info coverage contains land status and Federal mineral ownership for approximately 37,800 square miles in southern Wyoming. The polygon coverage (which is also provided here as a shapefile) contains two attributes of ownership information for each polygon. One attribute indicates where the surface is State owned, privately owned, or, if Federally owned, which Federal agency manages the land surface. The other attribute indicates which minerals, if any, are owned by the Federal govenment. This coverage is based on land status and Federal mineral ownership data compiled by the U.S. Geological Survey (USGS) and the Wyoming State Bureau of Land Management (BLM) at a scale of 1:24,000. This coverage was compiled primarily to serve the USGS National Oil and Gas Resource Assessment and National Coal Resource Assessment Projects in the Northern Rocky Mountains/Great Plains Region.

Estuarine monitoring programs in the Albemarle Sound study area, North Carolina

USGS Publications Warehouse

Moorman, Michelle; Kolb, Katharine R.; Supak, Stacy

2014-01-01

The purpose of this report is to identify major natural resource management issues for the region, provide information on current monitoring activities occurring within the Albemarle Sound study area, determine how the current monitoring network fits into the design of the NMN, and determine what additional monitoring data are needed to address these issues. In order to address these questions, a shapefile and data table were created to document monitoring and research programs in the Albemarle Sound study area with an emphasis on current monitoring programs within the region. This database was queried to determine monitoring gaps that existed in the Albemarle Sound by comparing current monitoring programs with the design indicated by the NMN. The report uses this information to provide recommendations on how monitoring could be improved in the Albemarle Sound study area.

Physical Habitat Characteristics on the North and South Forks of the Shenandoah River, VA in 2002-2007

USGS Publications Warehouse

Krstolic, Jennifer L.; Hayes, Donald C.

2010-01-01

Data collected with the GeoXT Trimble GPS unit using ArcPad 6.1. (summer 2006-2007). Files were created within a geodatabase to create a data dictionary for use in ArcPad during data collection. Drop down lists for habitat type, substrate, depth, width, length, and descriptions were included. Data files produced on the GeoXT were point shapefiles that could be checked back into the geodatabase and viewable as a layer. Points were gathered while canoeing along the South Fork Shenandoah River. Each location marked a change in meso-scale habitat type. GPS points were supplemented with GIS-derived points in areas where manual measurements were made. The points were used to generate a line coverage. This coverage represents physical habitat at a meso-scale (width of stream).

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 periods which represented natural flow, and the years in which those natural flows occurred were identified (i.e. not all HCDN sites were in reference condition even in 1988, for example, 02353500). The HCDN remains a valuable indication of historic natural streamflow data. However, the goal of this dataset was to identify watersheds which currently have near-natural flow conditions, and the 2,057 reference sites identified here were derived independently of the HCDN. A subset, however, noted in the BasinID worksheet as “HCDN-2009”, has been identified as an updated list of 743 sites for potential hydro-climatic study. The HCDN-2009 sites fulfill all of the following criteria: (a) have 20 years of complete and continuous flow record in the last 20 years (water years 1990-2009), and were thus also currently active as of 2009, (b) are identified as being in current reference condition according to the GAGES-II classification, (c) have less than 5 percent imperviousness as measured from the NLCD 2006, and (d) were not eliminated by a review from participating state Water Science Center evaluators. The data posted here consist of the following items:- This point shapefile, with summary data for the 9,322 gages.- A zip file containing basin characteristics, variable definitions, and a more detailed report.- A zip file containing shapefiles of basin boundaries, organized by classification and aggregated ecoregion.- A zip file containing mainstem stream lines (Arc line coverages) for each gage.

Global GIS database; digital atlas of Central and South America

USGS Publications Warehouse

Hearn,, Paul P.; Hare, T.; Schruben, P.; Sherrill, D.; LaMar, C.; Tsushima, P.

2000-01-01

This CD-ROM contains a digital atlas of the countries of Central and South America. This atlas is part of a global database compiled from USGS and other data sources at the nominal scale of 1:1 million and is intended to be used as a regional-scale reference and analytical tool by government officials, researchers, the private sector, and the general public. The atlas includes free GIS software or may also be used with ESRI's ArcView software. Customized ArcView tools, specifically designed to make the atlas easier to use, are also included. The atlas contains the following datasets: country political boundaries, digital shaded relief map, elevation, slope, hydrology, locations of cities and towns, airfields, roads, railroads, utility lines, population density, geology, ecological regions, historical seismicity, volcanoes, ore deposits, oil and gas fields, climate data, landcover, vegetation index, and lights at night.

An explicit GIS-based river basin framework for aquatic ecosystem conservation in the Amazon

NASA Astrophysics Data System (ADS)

Venticinque, Eduardo; Forsberg, Bruce; Barthem, Ronaldo; Petry, Paulo; Hess, Laura; Mercado, Armando; Cañas, Carlos; Montoya, Mariana; Durigan, Carlos; Goulding, Michael

2016-11-01

Despite large-scale infrastructure development, deforestation, mining and petroleum exploration in the Amazon Basin, relatively little attention has been paid to the management scale required for the protection of wetlands, fisheries and other aspects of aquatic ecosystems. This is due, in part, to the enormous size, multinational composition and interconnected nature of the Amazon River system, as well as to the absence of an adequate spatial model for integrating data across the entire Amazon Basin. In this data article we present a spatially uniform multi-scale GIS framework that was developed especially for the analysis, management and monitoring of various aspects of aquatic systems in the Amazon Basin. The Amazon GIS-Based River Basin Framework is accessible as an ESRI geodatabase at doi:10.5063/F1BG2KX8.

POPSCAN: A CNES Geo-Information Study for Re-Entry Risk Assessment

NASA Astrophysics Data System (ADS)

Fuentes, N.; Tholey, N.; Battiston, S.; Montabord, M.; Studer, M.

2013-09-01

Within the framework of the FSOA, French Space Operations Act (referred to as the "Loi relative aux Opérations Spatiales" or LOS in French), including in particular the monitoring of safety requirements for people and property, one major parameter to consider is Geographic Information (GI) on population distribution, human activity, and land occupation.This article gives an overview of the set of geographic and demographic data examined for CNES control offices, outlining the advantages and limits of each one : coverage, precision, update frequency, availability, distribution, ...It focuses on the two major available global population databases: GPW-GRUMP from CIESIN of COLUMBIA University and LandScan from ORNL. The work engaged on POPSCAN integrates digital analysis about these two world population grids and also comparisons on other databases such as GLOBAL- INSIGHT, VMAP0, ESRI, DMSP-ISA, GLOBCOVER, OpenFlights, ... for urban areas, communication networks, sensitive human activities and land use.

The Future of Web Maps in Next Generation Textbooks

NASA Astrophysics Data System (ADS)

DiBiase, D.; Prasad, S.

2014-12-01

The reformation of the "Object Formerly Known as Textbook" (coined by the Chronicle of Higher Education) toward a digital future is underway. Emerging nextgen texts look less like electronic books ("ebooks") and more like online courseware. In addition to text and illustrations, nextgen textbooks for STEM subjects are likely to combine quizzes, grade management tools, support for social learning, and interactive media including web maps. Web maps are interactive, multi-scale, online maps that enable teachers and learners to explore, interrogate, and mash up the wide variety of map layers available in the cloud. This presentation will show how web maps coupled with interactive quizzes enable students' purposeful explorations and interpretations of spatial patterns related to humankind's interactions with the earth. Attendees will also learn about Esri's offer to donate ArcGIS Online web mapping subscriptions to every U.S. school as part of the President Obama's ConnectED initiative.

ESR imaging investigations of two-phase systems.

PubMed

Herrmann, Werner; Stösser, Reinhard; Borchert, Hans-Hubert

2007-06-01

The possibilities of electron spin resonance (ESR) and electron spin resonance imaging (ESRI) for investigating the properties of the spin probes TEMPO and TEMPOL in two-phase systems have been examined in the systems water/n-octanol, Miglyol/Miglyol, and Precirol/Miglyol. Phases and regions of the phase boundary could be mapped successfully by means of the isotropic hyperfine coupling constants, and, moreover, the quantification of rotational and lateral diffusion of the spin probes was possible. For the quantitative treatment of the micropolarity, a simplified empirical model was established on the basis of the Nernst distribution and the experimentally determined isotropic hyperfine coupling constants. The model does not only describe the summarized micropolarities of coexisting phases, but also the region of the phase boundary, where solvent molecules of different polarities and tendencies to form hydrogen bonds compete to interact with the NO group of the spin probe. Copyright 2007 John Wiley & Sons, Ltd.

Development of a forestry government agency enterprise GIS system: a disconnected editing approach

NASA Astrophysics Data System (ADS)

Zhu, Jin; Barber, Brad L.

2008-10-01

The Texas Forest Service (TFS) has developed a geographic information system (GIS) for use by agency personnel in central Texas for managing oak wilt suppression and other landowner assistance programs. This Enterprise GIS system was designed to support multiple concurrent users accessing shared information resources. The disconnected editing approach was adopted in this system to avoid the overhead of maintaining an active connection between TFS central Texas field offices and headquarters since most field offices are operating with commercially provided Internet service. The GIS system entails maintaining a personal geodatabase on each local field office computer. Spatial data from the field is periodically up-loaded into a central master geodatabase stored in a Microsoft SQL Server at the TFS headquarters in College Station through the ESRI Spatial Database Engine (SDE). This GIS allows users to work off-line when editing data and requires connecting to the central geodatabase only when needed.

Drowning in Data: Going Beyond Traditional Data Archival to Educate Data Users

NASA Astrophysics Data System (ADS)

Weigel, A. M.; Smith, T.; Smith, D. K.; Bugbee, K.; Sinclair, L.

2017-12-01

Increasing quantities of Earth science data and information prove overwhelming to new and unfamiliar users. Data discovery and use challenges faced by these users are compounded with atmospheric science field campaign data collected by a variety of instruments and stored, visualized, processed and analyzed in different ways. To address data and user needs assessed through annual surveys and user questions, the NASA Global Hydrology Resource Center Distributed Active Archive Center (GHRC DAAC), in collaboration with a graphic designer, has developed a series of resources to help users learn about GHRC science focus areas, field campaigns, instruments, data, and data processing techniques. In this talk, GHRC data recipes, micro articles, interactive data visualization techniques, and artistic science outreach and education efforts, such as ESRI story maps and research as art, will be overviewed. The objective of this talk is to stress the importance artistic information visualization has in communicating with and educating Earth science data users.

IASM: Individualized activity space modeler

NASA Astrophysics Data System (ADS)

Hasanzadeh, Kamyar

2018-01-01

Researchers from various disciplines have long been interested in analyzing and describing human mobility patterns. Activity space (AS), defined as an area encapsulating daily human mobility and activities, has been at the center of this interest. However, given the applied nature of research in this field and the complexity that advanced geographical modeling can pose to its users, the proposed models remain simplistic and inaccurate in many cases. Individualized Activity Space Modeler (IASM) is a geographic information system (GIS) toolbox, written in Python programming language using ESRI's Arcpy module, comprising four tools aiming to facilitate the use of advanced activity space models in empirical research. IASM provides individual-based and context-sensitive tools to estimate home range distances, delineate activity spaces, and model place exposures using individualized geographical data. In this paper, we describe the design and functionality of IASM, and provide an example of how it performs on a spatial dataset collected through an online map-based survey.

Spatial outline of malaria transmission in Iran.

PubMed

Barati, Mohammad; Keshavarz-valian, Hossein; Habibi-nokhandan, Majid; Raeisi, Ahmad; Faraji, Leyla; Salahi-moghaddam, Abdoreza

2012-10-01

To conduct for modeling spatial distribution of malaria transmission in Iran. Records of all malaria cases from the period 2008-2010 in Iran were retrieved for malaria control department, MOH&ME. Metrological data including annual rainfall, maximum and minimum temperature, relative humidity, altitude, demographic, districts border shapefiles, and NDVI images received from Iranian Climatologic Research Center. Data arranged in ArcGIS. 99.65% of malaria transmission cases were focused in southeast part of Iran. These transmissions had statistically correlation with altitude (650 m), maximum (30 °C), minimum (20 °C) and average temperature (25.3 °C). Statistical correlation and overall relationship between NDVI (118.81), relative humidity (⩾45%) and rainfall in southeast area was defined and explained in this study. According to ecological condition and mentioned cut-off points, predictive map was generated using cokriging method. Copyright © 2012 Hainan Medical College. Published by Elsevier B.V. All rights reserved.

Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

DOE Data Explorer

Teresa E. Jordan

2016-08-18

*These files add to and replace same-named files found within Submission 559 (https://gdr.openei.org/submissions/559)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-state analysis of all known potential geothermal reservoirs in sedimentary rocks in the Appalachian Basin region, ranked by their potential favorability. Favorability is quantified using three metrics: Reservoir Productivity Index for water; Reservoir Productivity Index; Reservoir Flow Capacity. The metrics are explained in the Reservoirs Methodology Memo (included in zip file). The product represents a minimum spatial extent of potential sedimentary rock geothermal reservoirs. Only natural porosity and permeability were analyzed. Shapefile and images of the spatial distributions of these reservoir quality metrics and of the uncertainty on these metrics are included as well. UPDATE: Accompanying geologic reservoirs data may be found at: https://gdr.openei.org/submissions/881 (linked below).

U.S. EPAs Geospatial Data Access Project

EPA Pesticide Factsheets

To improve public health and the environment, the United States Environmental Protection Agency (EPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata Shapefile, Feature Class or extensible markup language (XML) file containing facility and site information from EPA's national program systems. The files are Internet accessible from the Envirofacts Web site (https://www3.epa.gov/enviro/). The data may be used with geospatial mapping applications. (Note: The files omit facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the files contain a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Doug Blankenship

Archive of ArcGIS data from the West Flank FORGE site located in Coso, California. Archive contains the following eight shapefiles: Polygon of the 3D geologic model (WestFlank3DGeologicModelExtent) Polylines of the traces 3D modeled faults (WestFlank3DModeledFaultTraces) Polylines of the fault traces from Duffield and Bacon, 1980 (WestFlankFaultsfromDuffieldandBacon) Polygon of the West Flank FORGE site (WestFlankFORGEsite) Polylines of the traces of the geologic cross-sections (cross-sections in a separate archive in the GDR) (WestFlankGeologicCrossSections) Polylines of the traces of the seismic reflection profiles through and adjacent to the West Flank site (seismic reflection profiles in a separate archive in the GDR) (WestFlankSiesmicReflectionProfiles) Pointsmore » of the well collars in and around the West Flank site (WestFlankWellCollars) Polylines of the surface expression of the West Flank well paths (WestFlankWellPaths)« less

Land and federal mineral ownership coverage for northwestern Colorado

USGS Publications Warehouse

Biewick, L.H.; Mercier, T.J.; Levitt, Pam; Deikman, Doug; Vlahos, Bob

1999-01-01

This Arc/Info coverage contains land status and Federal mineral ownership for approximately 26,800 square miles in northwestern Colorado. The polygon coverage (which is also provided here as a shapefile) contains two attributes of ownership information for each polygon. One attribute indicates where the surface is State owned, privately owned, or, if Federally owned, which Federal agency manages the land surface. The other attribute indicates which minerals, if any, are owned by the Federal govenment. This coverage is based on land status and Federal mineral ownership data compiled by the U.S. Geological Survey (USGS) and three Colorado State Bureau of Land Management (BLM) former district offices at a scale of 1:24,000. This coverage was compiled primarily to serve the USGS National Oil and Gas Resource Assessment Project in the Uinta-Piceance Basin Province and the USGS National Coal Resource Assessment Project in the Colorado Plateau.

Milford, Utah FORGE Temperature Contours at 200 m

DOE Office of Scientific and Technical Information (OSTI.GOV)

Joe Moore

The individual shapefiles in this dataset delineate estimated temperature contours (20, 40, 60, and 80) at a depth of 200 m in the Milford, Utah FORGE area. Contours were derived from 86 geothermal, gradient, and other wells drilled in the area since the mid-1970s with depths greater than 50 m. Conductive temperature profiles for wells less than 200 m were extrapolated to determine the temperature at the desired depth. Because 11 wells in the eastern section of the study area (in and around the Mineral Mountains) are at higher elevations compared to those closer to the center of the basin,more » temperature profiles were extrapolated to a constant elevation of 200 m below the 1830 m (6000 ft) a.s.l. datum (approximate elevation of alluvial fans at the base of the Mineral Mountains) to smooth the contours across the ridges and valleys.« less

Appalachian Basin Play Fairway Analysis: Thermal Quality Analysis in Low-Temperature Geothermal Play Fairway Analysis (GPFA-AB

DOE Data Explorer

Teresa E. Jordan

2015-11-15

This collection of files are part of a larger dataset uploaded in support of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB, DOE Project DE-EE0006726). Phase 1 of the GPFA-AB project identified potential Geothermal Play Fairways within the Appalachian basin of Pennsylvania, West Virginia and New York. This was accomplished through analysis of 4 key criteria or ‘risks’: thermal quality, natural reservoir productivity, risk of seismicity, and heat utilization. Each of these analyses represent a distinct project task, with the fifth task encompassing combination of the 4 risks factors. Supporting data for all five tasks has been uploaded into the Geothermal Data Repository node of the National Geothermal Data System (NGDS). This submission comprises the data for Thermal Quality Analysis (project task 1) and includes all of the necessary shapefiles, rasters, datasets, code, and references to code repositories that were used to create the thermal resource and risk factor maps as part of the GPFA-AB project. The identified Geothermal Play Fairways are also provided with the larger dataset. Figures (.png) are provided as examples of the shapefiles and rasters. The regional standardized 1 square km grid used in the project is also provided as points (cell centers), polygons, and as a raster. Two ArcGIS toolboxes are available: 1) RegionalGridModels.tbx for creating resource and risk factor maps on the standardized grid, and 2) ThermalRiskFactorModels.tbx for use in making the thermal resource maps and cross sections. These toolboxes contain “item description” documentation for each model within the toolbox, and for the toolbox itself. This submission also contains three R scripts: 1) AddNewSeisFields.R to add seismic risk data to attribute tables of seismic risk, 2) StratifiedKrigingInterpolation.R for the interpolations used in the thermal resource analysis, and 3) LeaveOneOutCrossValidation.R for the cross validations used in the thermal interpolations. Some file descriptions make reference to various 'memos'. These are contained within the final report submitted October 16, 2015. Each zipped file in the submission contains an 'about' document describing the full Thermal Quality Analysis content available, along with key sources, authors, citation, use guidelines, and assumptions, with the specific file(s) contained within the .zip file highlighted.

GIS-based interactive tool to map the advent of world conquerors

NASA Astrophysics Data System (ADS)

Lakkaraju, Mahesh

The objective of this thesis is to show the scale and extent of some of the greatest empires the world has ever seen. This is a hybrid project between the GIS based interactive tool and the web-based JavaScript tool. This approach lets the students learn effectively about the emperors themselves while understanding how long and far their empires spread. In the GIS based tool, a map is displayed with various points on it, and when a user clicks on one point, the relevant information of what happened at that particular place is displayed. Apart from this information, users can also select the interactive animation button and can walk through a set of battles in chronological order. As mentioned, this uses Java as the main programming language, and MOJO (Map Objects Java Objects) provided by ESRI. MOJO is very effective as its GIS related features can be included in the application itself. This app. is a simple tool and has been developed for university or high school level students. D3.js is an interactive animation and visualization platform built on the Javascript framework. Though HTML5, CSS3, Javascript and SVG animations can be used to derive custom animations, this tool can help bring out results with less effort and more ease of use. Hence, it has become the most sought after visualization tool for multiple applications. D3.js has provided a map-based visualization feature so that we can easily display text-based data in a map-based interface. To draw the map and the points on it, D3.js uses data rendered in TOPO JSON format. The latitudes and longitudes can be provided, which are interpolated into the Map svg. One of the main advantages of doing it this way is that more information is retained when we use a visual medium.

Wave and Wind Model Performance Metrics Tools

NASA Astrophysics Data System (ADS)

Choi, J. K.; Wang, D. W.

2016-02-01

Continual improvements and upgrades of Navy ocean wave and wind models are essential to the assurance of battlespace environment predictability of ocean surface wave and surf conditions in support of Naval global operations. Thus, constant verification and validation of model performance is equally essential to assure the progress of model developments and maintain confidence in the predictions. Global and regional scale model evaluations may require large areas and long periods of time. For observational data to compare against, altimeter winds and waves along the tracks from past and current operational satellites as well as moored/drifting buoys can be used for global and regional coverage. Using data and model runs in previous trials such as the planned experiment, the Dynamics of the Adriatic in Real Time (DART), we demonstrated the use of accumulated altimeter wind and wave data over several years to obtain an objective evaluation of the performance the SWAN (Simulating Waves Nearshore) model running in the Adriatic Sea. The assessment provided detailed performance of wind and wave models by using cell-averaged statistical variables maps with spatial statistics including slope, correlation, and scatter index to summarize model performance. Such a methodology is easily generalized to other regions and at global scales. Operational technology currently used by subject matter experts evaluating the Navy Coastal Ocean Model and the Hybrid Coordinate Ocean Model can be expanded to evaluate wave and wind models using tools developed for ArcMAP, a GIS application developed by ESRI. Recent inclusion of altimeter and buoy data into a format through the Naval Oceanographic Office's (NAVOCEANO) quality control system and the netCDF standards applicable to all model output makes it possible for the fusion of these data and direct model verification. Also, procedures were developed for the accumulation of match-ups of modelled and observed parameters to form a data base with which statistics are readily calculated, for the short or long term. Such a system has potential for a quick transition to operations at NAVOCEANO.

DigiFract: A software and data model implementation for flexible acquisition and processing of fracture data from outcrops

NASA Astrophysics Data System (ADS)

Hardebol, N. J.; Bertotti, G.

2013-04-01

This paper presents the development and use of our new DigiFract software designed for acquiring fracture data from outcrops more efficiently and more completely than done with other methods. Fracture surveys often aim at measuring spatial information (such as spacing) directly in the field. Instead, DigiFract focuses on collecting geometries and attributes and derives spatial information through subsequent analyses. Our primary development goal was to support field acquisition in a systematic digital format and optimized for a varied range of (spatial) analyses. DigiFract is developed using the programming interface of the Quantum Geographic Information System (GIS) with versatile functionality for spatial raster and vector data handling. Among other features, this includes spatial referencing of outcrop photos, and tools for digitizing geometries and assigning attribute information through a graphical user interface. While a GIS typically operates in map-view, DigiFract collects features on a surface of arbitrary orientation in 3D space. This surface is overlain with an outcrop photo and serves as reference frame for digitizing geologic features. Data is managed through a data model and stored in shapefiles or in a spatial database system. Fracture attributes, such as spacing or length, is intrinsic information of the digitized geometry and becomes explicit through follow-up data processing. Orientation statistics, scan-line or scan-window analyses can be performed from the graphical user interface or can be obtained through flexible Python scripts that directly access the fractdatamodel and analysisLib core modules of DigiFract. This workflow has been applied in various studies and enabled a faster collection of larger and more accurate fracture datasets. The studies delivered a better characterization of fractured reservoirs analogues in terms of fracture orientation and intensity distributions. Furthermore, the data organisation and analyses provided more independent constraints on the bed-confined or through-going nature of fractures relative to the stratigraphic layering.

The Tectonics of Mercury: The View from Orbit

NASA Astrophysics Data System (ADS)

Watters, T. R.; Byrne, P. K.; Klimczak, C.; Enns, A. C.; Banks, M. E.; Walsh, L. S.; Ernst, C. M.; Robinson, M. S.; Gillis-Davis, J. J.; Solomon, S. C.; Strom, R. G.; Gwinner, K.

2011-12-01

Flybys of Mercury by the Mariner 10 and MESSENGER spacecraft revealed a broad distribution of contractional tectonic landforms, including lobate scarps, high-relief ridges, and wrinkle ridges. Among these, lobate scarps were seen as the dominant features and have been interpreted as having formed as a result of global contraction in response to interior cooling. Extensional troughs and graben, where identified, were generally confined to intermediate- to large-scale impact basins. However, the true global spatial distribution of tectonic landforms remained poorly defined because the flyby observations were limited in coverage and spatial resolution, and many flyby images were obtained under lighting geometries far from ideal for the detection and identification of morphologic features. With the successful insertion of MESSENGER into orbit in March 2011, we are exploiting the opportunity to characterize the tectonics of Mercury in unprecedented detail using images at high resolution and optimum lighting, together with topographic data obtained from Mercury Laser Altimeter (MLA) profiles and stereo imaging. We are digitizing all of Mercury's major tectonic landforms in a standard geographic information system format from controlled global monochrome mosaics (mean resolution 250 m/px), complemented by high-resolution targeted images (up to ~10 m/px), obtained by the Mercury Dual Imaging System (MDIS) cameras. On the basis of an explicit set of diagnostic criteria, we are mapping wrinkle ridges, high-relief ridges, lobate scarps, and extensional troughs and graben in separate shapefiles and cataloguing the segment endpoint positions, length, and orientation for each landform. The versatility of digital mapping facilitates the merging of this tectonic information with other MESSENGER-derived map products, e.g., volcanic units, surface color, geochemical variations, topography, and gravity. Results of this mapping work to date include the identification of extensional features in the northern plains and elsewhere on Mercury in the form of troughs, which commonly form polygonal patterns, in some two dozen volcanically flooded impact craters and basins.

Ferricrete, manganocrete, and bog iron occurrences with selected sedge bogs and active iron bogs and springs in the upper Animas River watershed, San Juan County, Colorado

USGS Publications Warehouse

Yager, Douglas B.; Church, Stan E.; Verplanck, Philip L.; Wirt, Laurie

2003-01-01

During 1996 to 2000, the Bureau of Land Management, National Park Service, Environmental Protection Agency, United States Department of Agriculture (USDA) Forest Service, and the U.S. Geological Survey (USGS) developed a coordinated strategy to (1) study the environmental effects of historical mining on Federal lands, and (2) remediate contaminated sites that have the greatest impact on water quality and ecosystem health. This dataset provides information that contributes to these overall objectives and is part of the USGS Abandoned Mine Lands Initiative. Data presented here represent ferricrete occurrences and selected iron bogs and springs in the upper Animas River watershed in San Juan County near Silverton, Colorado. Ferricretes (stratified iron and manganese oxyhydroxide-cemented sedimentary deposits) are one indicator of the geochemical baseline conditions as well as the effect that weathering of mineralized rocks had on water quality in the Animas River watershed prior to mining. Logs and wood fragments preserved in several ferricretes in the upper Animas River watershed, collected primarily along streams, yield radiocarbon ages of modern to 9,580 years B.P. (P.L. Verplanck, D.B. Yager, and S.E. Church, work in progress). The presence of ferricrete deposits along the current stream courses indicates that climate and physiography of the Animas River watershed have been relatively constant throughout the Holocene and that weathering processes have been ongoing for thousands of years prior to historical mining activities. Thus, by knowing where ferricrete is preserved in the watershed today, land-management agencies have an indication of (1) where metal precipitation from weathering of altered rocks has occurred in the past, and (2) where this process is ongoing and may confound remediation efforts. These data are included as two coverages-a ferricrete coverage and a bogs and springs coverage. The coverages are included in ArcInfo shapefile and ArcInfo interchange file format.

Biological Communities and Geomorphology of Patch Reefs in Biscayne National Park, Florida, U.S.A.

USGS Publications Warehouse

Kuffner, Ilsa B.; Brock, John C.; Grober-Dunsmore, Rikki; Hickey, T. Don; Bonito, Victor; Bracone, Jeremy E.; Wright, C. Wayne

2008-01-01

Coral reef ecosystem management benefits from continual, quantitative assessment of the resources being managed, plus assessment of factors that affect distribution patterns of organisms in the ecosystem. In this study, we investigated the relationships among physical, benthic, and fish variables in effort to help explain the distribution patterns of ecologically and economically important species on twelve patch reefs within Biscayne National Park (BNP), Florida, U.S.A. We visited 196 randomly-located sampling stations across twelve shallow (< 10m) patch reefs, using SCUBA to conduct our surveys. We measured physical variables (e.g., substratum type), estimated the percent cover of benthic community members (e.g., coral, algae), and counted and estimated mean size for each fish species observed. We also used high-density bathymetric data collected remotely via airborne laser surveying (Experimental Advanced Airborne Research Lidar (EAARL)) to calculate rugosity (bumpiness) of the reef habitat. Here we present our findings visually by graphing our quantitative community and physical structure data simultaneously in a GIS map format. You will see that biological organisms arrange themselves on each patch reef in a non-random manner. For example, many species of fish prefer to locate themselves in areas of the reef where the rugosity index is high. Rugose parts of the reef provide them with good hiding places from predators. These maps (and the data used to create them) are permanent records of the status of reef resources found on these twelve patch reefs in BNP as of September, 2003. The survey data found in the shapefile located on this CD product includes benthic percent cover data for algae, coral, encrusting invertebrates, and substratum type, in addition to gorgonian abundance and volume, total fish abundance and species richness, and specific counts for Acanthurids (surgeonfish), Scarids (parrotfish), Lutjanids (snappers), Haemulids (grunts), Serranids (groupers), and Pomacentrids (damselfish).

Usage of Electric Vehicle Supply Equipment Along the Corridors between the EV Project Major Cities

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mindy Kirkpatrick

The report explains how the EVSE are being used along the corridors between the EV Project cities. The EV Project consists of a nationwide collaboration between Idaho National Laboratory (INL), ECOtality North America, Nissan, General Motors, and more than 40 other city, regional and state governments, and electric utilities. The purpose of the EV Project is to demonstrate the deployment and use of approximately 14,000 Level II (208-240V) electric vehicle supply equipment (EVSE) and 300 fast chargers in 16 major cities. This research investigates the usage of all currently installed EV Project commercial EVSE along major interstate corridors. ESRI ArcMapmore » software products are utilized to create geographic EVSE data layers for analysis and visualization of commercial EVSE usage. This research locates the crucial interstate corridors lacking sufficient commercial EVSE and targets locations for future commercial EVSE placement. The results and methods introduced in this research will be used by INL for the duration of the EV Project.« less

From BIM to GIS at the Smithsonian Institution

NASA Astrophysics Data System (ADS)

Günther-Diringer, Detlef

2018-05-01

BIM-files (Building Information Models) are in modern architecture and building management a basic prerequisite for successful creation of construction engineering projects. At the facilities department of the Smithsonian Institution more than six hundred buildings were maintained. All facilities were digital available in an ESRI ArcGIS-environment with connection to the database information about single rooms with the usage and further maintenance information. These data are organization wide available by an intranet viewer, but only in a two-dimensional representation. Goal of the carried out project was the development of a workflow from available BIM-models to the given GIS-structure. The test-environment were the BIM-models of the buildings of the Smithsonian museums along the Washington Mall. Based on new software editions of Autodesk Revit, FME and ArcGIS Pro the workflow from BIM to the GIS-data structure of the Smithsonian was successfully developed and may be applied for the setup of the future 3D intranet viewer.

Land status and federal mineral ownership in the Powder River basin, Wyoming and Montana; a digital data set for geographic information systems

USGS Publications Warehouse

Biewick, Laura; Urbanowski, Shayne R.; Cain, Sheila; Neasloney, Larry

1998-01-01

As the Nation's energy resources continue to be examined for development, it is critical that a digital database exist that contains location data for all Federal land and mineral resources. The U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management (BLM), is collecting these ownership files and compiling them in Environmental Systems Research Institute, Inc. (ESRI) ARC/INFO coverages, to form a standardized data library. A coverage is a digital version of a map in the form of vector data storage. These coverages are combined with models of coal deposits from the USGS National Coal Resource Assessment project, a five-year effort to identify and characterize the coal beds and coal zones that will provide fuel for the Nation’s energy needs during the first quarter of the twenty-first century. Geographic and geologic data layers are integrated in a Geographic Information System (GIS) to answer complex geo-spatial questions concerning coal resource occurrence.

ESRI applications of GIS technology: Mineral resource development

NASA Technical Reports Server (NTRS)

Derrenbacher, W.

1981-01-01

The application of geographic information systems technology to large scale regional assessment related to mineral resource development, identifying candidate sites for related industry, and evaluating sites for waste disposal is discussed. Efforts to develop data bases were conducted at scales ranging from 1:3,000,000 to 1:25,000. In several instances, broad screening was conducted for large areas at a very general scale with more detailed studies subsequently undertaken in promising areas windowed out of the generalized data base. Increasingly, the systems which are developed are structured as the spatial framework for the long-term collection, storage, referencing, and retrieval of vast amounts of data about large regions. Typically, the reconnaissance data base for a large region is structured at 1:250,000 scale, data bases for smaller areas being structured at 1:25,000, 1:50,000 or 1:63,360. An integrated data base for the coterminous US was implemented at a scale of 1:3,000,000 for two separate efforts.

GIS Application System Design Applied to Information Monitoring

NASA Astrophysics Data System (ADS)

Qun, Zhou; Yujin, Yuan; Yuena, Kang

Natural environment information management system involves on-line instrument monitoring, data communications, database establishment, information management software development and so on. Its core lies in collecting effective and reliable environmental information, increasing utilization rate and sharing degree of environment information by advanced information technology, and maximizingly providing timely and scientific foundation for environmental monitoring and management. This thesis adopts C# plug-in application development and uses a set of complete embedded GIS component libraries and tools libraries provided by GIS Engine to finish the core of plug-in GIS application framework, namely, the design and implementation of framework host program and each functional plug-in, as well as the design and implementation of plug-in GIS application framework platform. This thesis adopts the advantages of development technique of dynamic plug-in loading configuration, quickly establishes GIS application by visualized component collaborative modeling and realizes GIS application integration. The developed platform is applicable to any application integration related to GIS application (ESRI platform) and can be as basis development platform of GIS application development.

[Redox Molecular Imaging Using ReMI].

PubMed

Hyodo, Fuminori; Ito, Shinji; Utsumi, Hideo

2015-01-01

Tissue redox status is one of the most important parameters to maintain homeostasis in the living body. Numerous redox reactions are involved in metabolic processes, such as energy production in the mitochondrial electron transfer system. A variety of intracellular molecules such as reactive oxygen species, glutathione, thioredoxins, NADPH, flavins, and ascorbic acid may contribute to the overall redox status in tissues. Breakdown of redox balance may lead to oxidative stress and can induce many pathological conditions such as cancer, neurological disorders, and aging. Therefore imaging of tissue redox status and monitoring antioxidant levels in living organisms can be useful in the diagnosis of disease states and assessment of treatment response. In vivo redox molecular imaging technology such as electron spin resonance imaging (ESRI), magnetic resonance imaging (MRI), and dynamic nuclear polarization (DNP)-MRI (redox molecular imaging; ReMI) is emerging as a viable redox status imaging modality. This review focuses on the application of magnetic resonance technologies using MRI or DNP-MRI and redox-sensitive contrast agents.

Lessons in modern digital field geology: Open source software, 3D techniques, and the new world of digital mapping

NASA Astrophysics Data System (ADS)

Pavlis, Terry; Hurtado, Jose; Langford, Richard; Serpa, Laura

2014-05-01

Although many geologists refuse to admit it, it is time to put paper-based geologic mapping into the historical archives and move to the full potential of digital mapping techniques. For our group, flat map digital geologic mapping is now a routine operation in both research and instruction. Several software options are available, and basic proficiency with the software can be learned in a few hours of instruction and practice. The first practical field GIS software, ArcPad, remains a viable, stable option on Windows-based systems. However, the vendor seems to be moving away from ArcPad in favor of mobile software solutions that are difficult to implement without GIS specialists. Thus, we have pursued a second software option based on the open source program QGIS. Our QGIS system uses the same shapefile-centric data structure as our ArcPad system, including similar pop-up data entry forms and generic graphics for easy data management in the field. The advantage of QGIS is that the same software runs on virtually all common platforms except iOS, although the Android version remains unstable as of this writing. A third software option we are experimenting with for flat map-based field work is Fieldmove, a derivative of the 3D-capable program Move developed by Midland Valley. Our initial experiments with Fieldmove are positive, particularly with the new, inexpensive (<300Euros) Windows tablets. However, the lack of flexibility in data structure makes for cumbersome workflows when trying to interface our existing shapefile-centric data structures to Move. Nonetheless, in spring 2014 we will experiment with full-3D immersion in the field using the full Move software package in combination with ground based LiDAR and photogrammetry. One new workflow suggested by our initial experiments is that field geologists should consider using photogrammetry software to capture 3D visualizations of key outcrops. This process is now straightforward in several software packages, and it affords a previously unheard of potential for communicating the complexity of key exposures. For example, in studies of metamorphic structures we often search for days to find "Rosetta Stone" outcrops that display key geometric relationships. While conventional photographs rarely can capture the essence of the field exposure, capturing a true 3D representation of the exposure with multiple photos from many orientations can solve this communication problem. As spatial databases evolve these 3D models should be readily importable into the database.

Preliminary geologic map of the Fontana 7.5' quadrangle, Riverside and San Bernardino Counties, California

USGS Publications Warehouse

Morton, Douglas M.; Digital preparation by Bovard, Kelly R.

2003-01-01

Open-File Report 03-418 is a digital geologic data set that maps and describes the geology of the Fontana 7.5’ quadrangle, Riverside and San Bernardino Counties, California. The Fontana quadrangle database is one of several 7.5’ quadrangle databases that are being produced by the Southern California Areal Mapping Project (SCAMP). These maps and databases are, in turn, part of the nation-wide digital geologic map coverage being developed by the National Cooperative Geologic Map Program of the U.S. Geological Survey (USGS). General Open-File Report 03-418 contains a digital geologic map database of the Fontana 7.5’ quadrangle, Riverside and San Bernardino Counties, California that includes: 1. ARC/INFO (Environmental Systems Research Institute, http://www.esri.com) version 7.2.1 coverages of the various elements of the geologic map. 2. A Postscript file (fon_map.ps) to plot the geologic map on a topographic base, and containing a Correlation of Map Units diagram (CMU), a Description of Map Units (DMU), and an index map. 3. An Encapsulated PostScript (EPS) file (fon_grey.eps) created in Adobe Illustrator 10.0 to plot the geologic map on a grey topographic base, and containing a Correlation of Map Units (CMU), a Description of Map Units (DMU), and an index map. 4. Portable Document Format (.pdf) files of: a. the Readme file; includes in Appendix I, data contained in fon_met.txt b. The same graphics as plotted in 2 and 3 above.Test plots have not produced precise 1:24,000-scale map sheets. Adobe Acrobat page size setting influences map scale. The Correlation of Map Units and Description of Map Units is in the editorial format of USGS Geologic Investigations Series (I-series) maps but has not been edited to comply with I-map standards. Within the geologic map data package, map units are identified by standard geologic map criteria such as formation-name, age, and lithology. Where known, grain size is indicated on the map by a subscripted letter or letters following the unit symbols as follows: lg, large boulders; b, boulder; g, gravel; a, arenaceous; s, silt; c, clay; e.g. Qyfa is a predominantly young alluvial fan deposit that is arenaceous. Multiple letters are used for more specific identification or for mixed units, e.g., Qfysa is a silty sand. In some cases, mixed units are indicated by a compound symbol; e.g., Qyf2sc. Even though this is an Open-File Report and includes the standard USGS Open-File disclaimer, the report closely adheres to the stratigraphic nomenclature of the U.S. Geological Survey. Descriptions of units can be obtained by viewing or plotting the .pdf file (4b above) or plotting the postscript files (2 or 3 above).

Washington Geothermal Play Fairway Analysis Heat, Permeability, and Fracture Model Data

DOE Data Explorer

Steely, Alex; Forson, Corina; Cladouhos, Trenton; Swyer, Mike; Davatzes, Nicholas; Anderson, Megan; Ritzinger, Brent; Glen, Jonathan; Peacock, Jared; Schermerhorn, William

2017-12-07

This submission contains raster and vector data for the entire state of Washington, with specific emphasis on the three geothermal play fairway sites: Mount St. Helens seismic zone (MSHSZ), Wind River valley (WRV), and Mount Baker (MB). Data are provided for 3 major geothermal models: heat, permeability, and fluid-filled fractures, and an additional infrastructure model. Both of the permeability and fluid-filled-fracture models are produced at 200 m and at 2 km depths; the heat model is only produced at the 200 m depth. Values are provided for both model favorability and model confidence. A combined model at 200m and 2 km depths is provided for favorability, confidence, and exploration risk. Raster data are provided in GeoTiff format and have a statewide coverage. Cell size is 104.355 ft; file type is unsigned 8-bit integer (0-255); 0 represents no favorability or confidence; 255 represents maximum favorability or confidence. The NAD83(HARN)/Washington South (ftUS) projection is used (EPSG:2927). Vector data are provided in shapefile or comma-delimited text file formats. Geographic coordinates, where provided, are in WGS84. A readme file accompanies each folder and provides an overview and description of the enclosed data. The heat model combines 5 intermediate raster layers (which are included in the download package): temperature gradient wells, young volcanic vents, hot springs, young intrusive volcanic rocks, and geothermometry. The permeability model combines 8 intermediate raster layers: density of mapped faults, 2D dilation tendency of mapped faults, 2D slip tendency of mapped faults, seismicity, 3D dilation tendency, 3D slip tendency, 3D maximum coulomb shear stress, and 3D slip gradients. The fluid-filled fracture model combines up to 4 intermediate rasters: resistivity from magneto-telluric 3D inversions, seismicity, Vp/Vs anomalies from passive seismic tomography, and Vs anomalies from ambient-noise tomography. A statewide infrastructure model is also provided that formalizes land-use constraints and restrictions relevant for geothermal prospecting and development. This model combines 10 intermediate rasters: areas off limits to drilling, existing or proposed geothermal leases, DNR-owned land, land-use restrictions along the Columbia River Gorge, areas inundated by water, availability of potential process water, proximity to existing roads, proximity to transmission lines, distance from urban areas, and snow-related elevation restrictions. Supporting vector data for the development of each raster layer is provided. For details on the areas of interest and modeling process please see the 'WA_State_Play_Fairway_Phase_2_Technical_Report' in the download package.

Community Resilience Informed by Science and Experience (C-RISE)

NASA Astrophysics Data System (ADS)

Young Morse, R.; Peake, L.; Bowness, G.

2017-12-01

The Gulf of Maine Research Institute is developing an interactive learning experience that engages participants in the interdependence of humans and the environment, the cycles of observation and experiment that advance science knowledge, and the changes we see now and that are predicted for sea level and storm frequency. These scientific concepts and principles will be brought to human scale through the connection to the challenge of city planning in our harbor communities. We are leveraging the ESRI Story Maps platform to build rich visualization-based narratives that feature NOAA maps, data and tools. Our program participants work in teams to navigate the content and participate in facilitated group discussions led by our educators. Based on the adult learning experience and in concert with new content being developed for the LabVenture program around the theme of Climate Change, we will develop a learning experience for 5th and 6th graders.Our goal is to immerse 1000+ adults from target communities in Greater Portland region as well as 8000+ middle school students from throughout the state in the experience.

Automated riverine landscape characterization: GIS-based tools for watershed-scale research, assessment, and management.

PubMed

Williams, Bradley S; D'Amico, Ellen; Kastens, Jude H; Thorp, James H; Flotemersch, Joseph E; Thoms, Martin C

2013-09-01

River systems consist of hydrogeomorphic patches (HPs) that emerge at multiple spatiotemporal scales. Functional process zones (FPZs) are HPs that exist at the river valley scale and are important strata for framing whole-watershed research questions and management plans. Hierarchical classification procedures aid in HP identification by grouping sections of river based on their hydrogeomorphic character; however, collecting data required for such procedures with field-based methods is often impractical. We developed a set of GIS-based tools that facilitate rapid, low cost riverine landscape characterization and FPZ classification. Our tools, termed RESonate, consist of a custom toolbox designed for ESRI ArcGIS®. RESonate automatically extracts 13 hydrogeomorphic variables from readily available geospatial datasets and datasets derived from modeling procedures. An advanced 2D flood model, FLDPLN, designed for MATLAB® is used to determine valley morphology by systematically flooding river networks. When used in conjunction with other modeling procedures, RESonate and FLDPLN can assess the character of large river networks quickly and at very low costs. Here we describe tool and model functions in addition to their benefits, limitations, and applications.

Towards AN Inventory for Archaeological Heritage Management in Israel

NASA Astrophysics Data System (ADS)

Alef, Y.

2017-08-01

The vast amount of archaeological data and information that is systematically accumulated in the Israel Antiquities Authority database, has not yet been transformed into a tool for heritage management, i.e. accessible knowledge of the sites' cultural significance and risk assessment that is needed to support wise decision making regarding its future. As a response, a pilot project for developing an inventory for the archaeological heritage management was launched. A basic ESRI ArcGIS Online system was developed as a prototype, following the categories recommended in international standards for documentation. Five field surveys implementing the GIS system were conducted to examine different aspects and workflows: ancient synagogues in the Galilee, sites at risk, mosaics in Tel Shiqmona, the ancient settlement of Huqoq and sites included in The National Master Plan for Forests and Afforestation. The pilot project revealed the main gaps in knowledge and the critical faults in the working procedures. In spite of the systems' technological limitations, the results were convincing enough to promote a multidisciplinary discussion about the need for integration of significance and risk assessment in the working processes of the organization.

Bedrock and structural geologic maps of eastern Candor Sulci, western Ceti Mensa, and southeastern Ceti Mensa, Candor Chasma, Valles Marineris region of Mars

USGS Publications Warehouse

Okubo, Chris H.; Gaither, Tenielle A.

2017-05-12

This map product contains a set of three 1:18,000-scale maps showing the geology and structure of study areas in the western Candor Chasma region of Valles Marineris, Mars. These maps are part of an informal series of large-scale maps and map-based topical studies aimed at refining current understanding of the geologic history of western Candor Chasma. The map bases consist of digital elevation models and orthorectified images derived from High Resolution Imaging Science Experiment (HiRISE) data. These maps are accompanied by geologic cross sections, colorized elevation maps, and cutouts of HiRISE images showing key superposition relations. Also included in this product is a Correlation of Map Units that integrates units across all three map areas, as well as an integrated Description of Map Units and an integrated Explanation of Map Symbols. The maps were assembled using ArcGIS software produced by Environmental Systems Research Institute (http://www.esri.com). The ArcGIS projects and databases associated with each map are included online as supplemental data.

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.

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.

Mapping land cover through time with the Rapid Land Cover Mapper—Documentation and user manual

USGS Publications Warehouse

Cotillon, Suzanne E.; Mathis, Melissa L.

2017-02-15

The Rapid Land Cover Mapper is an Esri ArcGIS® Desktop add-in, which was created as an alternative to automated or semiautomated mapping methods. Based on a manual photo interpretation technique, the tool facilitates mapping over large areas and through time, and produces time-series raster maps and associated statistics that characterize the changing landscapes. The Rapid Land Cover Mapper add-in can be used with any imagery source to map various themes (for instance, land cover, soils, or forest) at any chosen mapping resolution. The user manual contains all essential information for the user to make full use of the Rapid Land Cover Mapper add-in. This manual includes a description of the add-in functions and capabilities, and step-by-step procedures for using the add-in. The Rapid Land Cover Mapper add-in was successfully used by the U.S. Geological Survey West Africa Land Use Dynamics team to accurately map land use and land cover in 17 West African countries through time (1975, 2000, and 2013).

How Conoco uses GIS technology to map geology, geography through time

DOE Office of Scientific and Technical Information (OSTI.GOV)

Foley, D.C.; Ghazi, T.Y.

1995-05-08

Conoco Inc.`s Advanced Exploration Organization (AEO) is in the business of studying foreign sedimentary basins from a regional perspective to evaluate their potential for petroleum exploration. Recently the company decided to focus some of the AEO`s resources on developing a global ranking system for those areas of the world where hydrocarbons might occur. AEO obtained software from the University of Texas, Arlington that rotates continents or portions of continents through time. Using the software, company geoscientists have created a series of maps, known as a PaleoAtlas, that depicts the geography and selected geological features for different periods in Phanerozoic time.more » In addition, the AEO has developed a software package based on ARC/INFO (ESRI Inc., Redlands, Calif.), a commercial GIS platform, to manage, integrate, and analyze those time-slice maps. Entitled PaleoAtlas Geographic Evaluation system (Pages), this software also sequences portions of the maps in a montage effect that geoscientists can use to study the geological evolution of petroleum source rocks. The paper describes the AEO project and its software.« less

Extending the GI Brokering Suite to Support New Interoperability Specifications

NASA Astrophysics Data System (ADS)

Boldrini, E.; Papeschi, F.; Santoro, M.; Nativi, S.

2014-12-01

The GI brokering suite provides the discovery, access, and semantic Brokers (i.e. GI-cat, GI-axe, GI-sem) that empower a Brokering framework for multi-disciplinary and multi-organizational interoperability. GI suite has been successfully deployed in the framework of several programmes and initiatives, such as European Union funded projects, NSF BCube, and the intergovernmental coordinated effort Global Earth Observation System of Systems (GEOSS). Each GI suite Broker facilitates interoperability for a particular functionality (i.e. discovery, access, semantic extension) among a set of brokered resources published by autonomous providers (e.g. data repositories, web services, semantic assets) and a set of heterogeneous consumers (e.g. client applications, portals, apps). A wide set of data models, encoding formats, and service protocols are already supported by the GI suite, such as the ones defined by international standardizing organizations like OGC and ISO (e.g. WxS, CSW, SWE, GML, netCDF) and by Community specifications (e.g. THREDDS, OpenSearch, OPeNDAP, ESRI APIs). Using GI suite, resources published by a particular Community or organization through their specific technology (e.g. OPeNDAP/netCDF) can be transparently discovered, accessed, and used by different Communities utilizing their preferred tools (e.g. a GIS visualizing WMS layers). Since Information Technology is a moving target, new standards and technologies continuously emerge and are adopted in the Earth Science context too. Therefore, GI Brokering suite was conceived to be flexible and accommodate new interoperability protocols and data models. For example, GI suite has recently added support to well-used specifications, introduced to implement Linked data, Semantic Web and precise community needs. Amongst the others, they included: DCAT: a RDF vocabulary designed to facilitate interoperability between Web data catalogs. CKAN: a data management system for data distribution, particularly used by public administrations. CERIF: used by CRIS (Current Research Information System) instances. HYRAX Server: a scientific dataset publishing component. This presentation will discuss these and other latest GI suite extensions implemented to support new interoperability protocols in use by the Earth Science Communities.

Preparing for Extreme Heat in India: Using High-Resolution Climate Models to Explore the Impact of Rising Temperatures on Human Health and Labor Productivity

NASA Astrophysics Data System (ADS)

Shaw, C.

2016-12-01

Globally, higher daily peak temperatures and longer, more intense heat waves are becoming increasingly frequent due to climate change. India, with relatively low GDP per capita, high population density, and tropical climate, is particularly vulnerable to these trends. In May 2015, one of the worst heat waves in world history hit the country, culminating in at least 2,300 officially-reported deaths as temperatures in some regions reached 48°C. As a result of climate change, heat waves in this region will last longer, be more extreme, and occur with greater frequency in the coming years. Impacts will be felt most acutely by vulnerable populations, which include not only those with frail health, but also populations otherwise considered healthy whose livelihood involves working under exposure to high temperatures. The problem is exacerbated by low levels of economic development, particularly in the under-provision of medical services, a higher proportion of weather-reliant income sources, and the inability to recover quickly from shocks. Responding to these challenges requires collaboration among the disciplines of climate science, public health, economics, and public policy. This project, presented as an online web application using Esri's ArcGIS Story Map, covers 1) the impact of extreme heat on human mortality, 2) the impact of combined heat and humidity (as measured by wet bulb globe temperature) on labor productivity, and 3) emerging best practices in adaptation planning by local municipalities and NGOs. The work is presented in a format that is designed to allow policymakers to take a deeper dive into the literature linking extreme temperature to human health and labor productivity, combined with interactive mapping tools that allow planners to drill down to data at the district level across the country of India. Further, the work presents a case study of heat adaptation planning efforts that have already been implemented in the city of Ahmedabad, allowing planners to understand what adaptations options might be available to mitigate the risk. Taken together, the tool provides a means to stimulate adaptation efforts, helping society's ability to prepare and cope with extreme heat events.

Telling Stories about the Changing Landscape: One Center's Evolution

NASA Astrophysics Data System (ADS)

Arnold, C. L., Jr.; Wilson, E. H.; Chadwick, C.; Dickson, D.

2016-12-01

Since its inception, the Center for Land Use Education and Research (CLEAR) at the University of Connecticut has had a strong applied research and public outreach focus. As a center that focuses on topics that virtually all have a geographic component, the intersection of Web and mapping technologies over the past decade has been an invaluable tool for communicating information. The primary target audience of this information is land use decision makers, who in New England are almost exclusively at the local (municipal) level and are often unpaid volunteers with little or no science background. Data-driven science communication focusing on this very worthy - and very needy - sector of the populace poses problems different from communicating with academic peers at one end of the spectrum, or the general public on the other end. The information must be understandable and accessible to non-technical users, yet specific and authoritative enough to inform decisions. CLEAR's approach to reaching this audience has evolved over the years in response to new internet and GIS technologies on the one hand, and internal deliberations on the other. A critical point was the 2004 public debut of the Center's Changing Landscape project, comprised of complex remotely-sensed land cover data: CLEAR principals decided to make the data publicly available via the Center website, but also to design a website to make the information accessible in as many ways, and for as many different audiences, as possible. This approach has had considerable success, as evidenced in the widespread use of the land cover information by communities, NGOs, federal and state agencies, and academia. Over the past several years, CLEAR has embraced the ESRI story map as a technological tool that embodies the Center's goal of "democratization" of science-based information through multifaceted accessibility. CLEAR's Story Map Gallery currently has six maps, covering a wide range of topics including the Changing Landscape project, black bear behavior and distribution, historical coastline changes, and social science research on the adoption of green infrastructure practices. More will be coming as both the story map format and the Center's projects grow and evolve.

Applications of Mobile GIS in Forestry South Australia

NASA Astrophysics Data System (ADS)

Battad, D. T.; Mackenzie, P.

2012-07-01

South Australian Forestry Corporation (ForestrySA) had been actively investigating the applications of mobile GIS in forestry for the past few years. The main objective is to develop an integrated mobile GIS capability that allows staff to collect new spatial information, verify existing data, and remotely access and post data from the field. Two (2) prototype mobile GIS applications have been developed already using the Environmental Systems Research Institute (ESRI) ARCGISR technology as the main spatial component. These prototype systems are the Forest Health Surveillance System and the Mobile GIS for Wetlands System. The Forest Health Surveillance System prototype is used primarily for aerial forest health surveillance. It was developed using a tablet PC with ArcMapR GIS. A customised toolbar was developed using ArcObjectsR in the Visual Basic 6 Integrated Development Environment (IDE). The resulting dynamic linked library provides a suite of custom tools which enables the following: - quickly create spatial features and attribute the data - full utilisation of global positioning system (GPS) technology - excellent screen display navigation tools, i.e. pan, rotate map, capture of flight path - seamless integration of data into GIS as geodatabase (GDB) feature classes - screen entry of text and conversion to annotation feature classes The Mobile GIS for Wetlands System prototype was developed for verifying existing wetland areas within ForestrySA's plantation estate, collect new wetland data, and record wetland conditions. Mapping of actual wetlands within ForestrySA's plantation estate is very critical because of the need to establish protection buffers around these features during the implementation of plantation operations. System development has been focussed on a mobile phone platform (HTC HD2R ) with WindowsR Mobile 6, ESRI's ArcGISR Mobile software development kit (SDK) employing ArcObjectsR written on C#.NET IDE, and ArcGIS ServerR technology. The system is also implemented in the VILIVR X70. The system has undergone testing by ForestrySA staff and the refinements had been incorporated in the latest version of the system. The system has the following functionalities: - display and query strategic data layers - collect and edit spatial and attribute data - full utilisation of global positioning GPS technology - distance and area measurements - display of high resolution imagery - seamless integration of data into GIS as feature classes - screen display and navigation tools, i.e. pan, zoom in/out, rotate map - capture of flight path The next stages in the development of mobile GIS technologies at ForestrySA are to enhance the systems' capabilities as one of the organization main data capture systems. These include incorporating other applications, e.g. roads/tracks mapping, mapping of significant sites, etc., and migration of the system to Windows Phone7.

Temporal changes in lithology and radiochemistry from the back-barrier environments along the Chandeleur Islands, Louisiana: March 2012-July 2013

USGS Publications Warehouse

Marot, Marci E.; Adams, C. Scott; Richwine, Kathryn A.; Smith, Christopher G.; Osterman, Lisa E.; Bernier, Julie C.

2014-01-01

Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a time-series collection of shallow sediment cores from the back-barrier environments along the Chandeleur Islands, Louisiana from March 2012 through July 2013. The sampling efforts were part of a larger USGS study to evaluate effects on the geomorphology of the Chandeleur Islands following the construction of an artificial sand berm to reduce oil transport onto federally managed lands. The objective of this study was to evaluate the response of the back-barrier tidal and wetland environments to the berm. This report serves as an archive for sedimentological, radiochemical, and microbiological data derived from the sediment cores. Data are available for a time-series of four sampling periods: March 2012; July 2012; September 2012; and July 2013. Downloadable data are available as Excel spreadsheets and as JPEG files. Additional files include: ArcGIS shapefiles of the sampling sites, detailed results of sediment grain size analyses, and formal Federal Geographic Data Committee metadata.

Remote identification of maternal polar bear (Ursus maritimus) denning habitat on the Colville River Delta, Alaska

NASA Astrophysics Data System (ADS)

Blank, Justin J.

High resolution digital aerial photographs (1 foot pixel size) of the Colville River Delta, Alaska were examined in 3D, with the use of a digital photogrammetric workstation. Topographic features meeting the criteria required for adequate snow accumulation, and subsequent construction of terrestrial polar bear maternal dens, were identified and digitized into an ArcGIS line shapefile. Effectiveness, efficiency, and accuracy were improved when compared to previous polar bear denning habitat efforts which utilized contact photo prints and a pocket stereoscope in other geographic areas of northern Alaska. Accuracy of photograph interpretation was systematically evaluated visually from the air with the use of a helicopter and physically on the ground. Results show that the mapping efforts were successful in identifying den habitat 91.3% of the time. Knowledge denning habitat can improve and inform decision making by managers and regulators when considering travel and development in the study area. An understanding of polar bear denning habitat extent and location will be a crucial tool for planning activities within the study area in a way that minimizes conflicts with maternal dens.

EPA RE-Powering Screening Shapefile

EPA Pesticide Factsheets

The U.S. Environmental Protection Agency (EPA) Office of Land and Emergency Management (OLEM) Center for Program Analysis (CPA) initiated the RE-Powering America??s Land Initiative to demonstrate the enormous potential that contaminated lands, landfills, and mine sites provide for developing renewable energy in the United States. EPA developed national level site screening criteria in partnership with the U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) for wind, solar, biomass, and geothermal facilities. While the screening criteria demonstrate the potential to reuse contaminated land for renewable energy facilities, the criteria and data are neither designed to identify the best sites for developing renewable energy nor all-inclusive. Therefore, more detailed, site-specific analysis is necessary to identify or prioritize the best sites for developing renewable energy facilities based on the technical and economic potential. Please note that these sites were only pre-screened for renewable energy potential. The sites were not evaluated for land use constraints or current on the ground conditions. Additional research and site-specific analysis are needed to verify viability for renewable energy potential at a given site.

Spatial Thinking and Visualisation of Real-World Concepts using GeoMapApp

NASA Astrophysics Data System (ADS)

Goodwillie, A. M.

2015-12-01

Commonly, geoscience data is presented to students in the lab and classroom in the form of data tables, maps and graphs. Successful data interpretation requires learners to become proficient with spatial thinking skills, allowing them to gain insight and understanding of the underlying real-world 3-D processes and concepts. Yet, educators at both the school and university level often witness students having difficulty in performing that translation. As a result, tools and resources that help to bridge that spatial capability gap can have useful application in the educational realm. A free, map-based data discovery and visualisation tool developed with NSF funding at Lamont-Doherty Earth Observatory caters to students and teachers alike by providing a variety of data display and manipulation techniques that enhance geospatial awareness. Called GeoMapApp (http://www.geomapapp.org), the tool provides access to hundreds of built-in authentic geoscience data sets. Examples include earthquake and volcano data, geological maps, lithospheric plate boundary information, geochemical, oceanographic, and environmental data. Barriers to entry are lowered through easy installation, seamless integration of research-grade data sets, intuitive menus, and project-saving continuity. The default base map is a cutting-edge elevation model covering the oceans and land. Dynamic contouring, artificial illumination, 3-D visualisations, data point manipulations, cross-sectional profiles, and other display techniques help students grasp the content and geospatial context of data. Data sets can also be layered for easier comparison. Students may import their own data sets in Excel, ASCII, shapefile, and gridded format, and they can gain a sense of ownership by being able to tailor their data explorations and save their own projects. GeoMapApp is adaptable to a range of learning environments from lab sessions, group projects, and homework assignments to in-class pop-ups. A new Save Session function allows educators to preserve a pre-loaded state of GeoMapApp. When shared with a class, the saved file allows every student to open GeoMapApp at exactly the same starting point from which to begin their data explorations. A wide range of enquiry-driven education modules for GeoMapApp is already available at SERC.

Topography and Landforms of Ecuador

USGS Publications Warehouse

Chirico, Peter G.; Warner, Michael B.

2005-01-01

EXPLANATION The digital elevation model of Ecuador represented in this data set was produced from over 40 individual tiles of elevation data from the Shuttle Radar Topography Mission (SRTM). Each tile was downloaded, converted from its native Height file format (.hgt), and imported into a geographic information system (GIS) for additional processing. Processing of the data included data gap filling, mosaicking, and re-projection of the tiles to form one single seamless digital elevation model. For 11 days in February of 2000, NASA, the National Geospatial-Intelligence Agency (NGA), the German Aerospace Center (DLR), and the Italian Space Agency (ASI) flew X-band and C-band radar interferometry onboard the Space Shuttle Endeavor. The mission covered the Earth between 60?N and 57?S and will provide interferometric digital elevation models (DEMs) of approximately 80% of the Earth's land mass when processing is complete. The radar-pointing angle was approximately 55? at scene center. Ascending and descending orbital passes generated multiple interferometric data scenes for nearly all areas. Up to eight passes of data were merged to form the final processed SRTM DEMs. The effect of merging scenes averages elevation values recorded in coincident scenes and reduces, but does not completely eliminate, the amount of area with layover and terrain shadow effects. The most significant form of data processing for the Ecuador DEM was gap-filling areas where the SRTM data contained a data void. These void areas are a result of radar shadow, layover, standing water, and other effects of terrain, as well as technical radar interferometry phase unwrapping issues. To fill these gaps, topographic contours were digitized from 1:50,000 - scale topographic maps which date from the mid-late 1980's (Souris, 2001). Digital contours were gridded to form elevation models for void areas and subsequently were merged with the SRTM data through GIS and remote sensing image-processing techniques. The data contained in this publication includes a gap filled, countrywide SRTM DEM of Ecuador projected in Universal Transverse Mercator (UTM) Zone 17 North projection, Provisional South American, 1956, Ecuador datum and a non gap filled SRTM DEM of the Galapagos Islands projected in UTM Zone 15 North projection. Both the Ecuador and Galapagos Islands DEMs are available as an ESRI Grid, stored as ArcInfo Export files (.e00), and in Erdas Imagine (IMG) file formats with a 90 meter pixel resolution. Also included in this publication are high and low resolution Adobe Acrobat (PDF) files of topography and landforms maps in Ecuador. The high resolution map should be used for printing and display, while the lower resolution map can be used for quick viewing and reference purposes.

A WebGIS-based system for analyzing and visualizing air quality data for Shanghai Municipality

NASA Astrophysics Data System (ADS)

Wang, Manyi; Liu, Chaoshun; Gao, Wei

2014-10-01

An online visual analytical system based on Java Web and WebGIS for air quality data for Shanghai Municipality was designed and implemented to quantitatively analyze and qualitatively visualize air quality data. By analyzing the architecture of WebGIS and Java Web, we firstly designed the overall scheme for system architecture, then put forward the software and hardware environment and also determined the main function modules for the system. The visual system was ultimately established with the DIV + CSS layout method combined with JSP, JavaScript, and some other computer programming languages based on the Java programming environment. Moreover, Struts, Spring, and Hibernate frameworks (SSH) were integrated in the system for the purpose of easy maintenance and expansion. To provide mapping service and spatial analysis functions, we selected ArcGIS for Server as the GIS server. We also used Oracle database and ESRI file geodatabase to store spatial data and non-spatial data in order to ensure the data security. In addition, the response data from the Web server are resampled to implement rapid visualization through the browser. The experimental successes indicate that this system can quickly respond to user's requests, and efficiently return the accurate processing results.

Youth access to indoor tanning salons in urban versus rural/suburban communities.

PubMed

Nahar, Vinayak K; Rosenthal, Meagen; Lemon, Stephenie C; Kane, Kevin; Cheng, Jie; Oleski, Jessica L; Li, Wenjun; Hillhouse, Joel J; Pagoto, Sherry L

2018-03-01

Research suggests that youth proximity to tanning salons may promote use; however, little is known about tanning salon proximity to schools. We assessed the proximity of tanning salons to schools in urban versus rural/suburban communities across Worcester County, Massachusetts (population > 800K). To put findings in context, we compared school proximity to tanning salons to school proximity to McDonald's restaurants, a large franchise that also caters to young people. Accessibility was measured by ArcGIS 10.2 Network Analyzer (ESRI, Redlands, CA, USA) and the most current road network data layer from Massachusetts Department of Transportation (MassDOT). A total of 145 schools were observed in the study area, of which about 39% of schools were within 1 mile from a tanning salon. Urban schools (53.41%) had a higher proportion within 1 mile of a tanning salon than rural/suburban schools (17.54%; P < .001). More schools (39.31%) were within 1 mile of a tanning salon than schools within 1 mile of a McDonald's (22.70%; P < .001). Schools may be particularly impactful for implementing skin cancer prevention programing. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Streamstats: U.S. Geological Survey Web Application for Streamflow Statistics for Connecticut

USGS Publications Warehouse

Ahearn, Elizabeth A.; Ries, Kernell G.; Steeves, Peter A.

2006-01-01

Introduction An important mission of the U. S. Geological Survey (USGS) is to provide information on streamflow in the Nation's rivers. Streamflow statistics are used by water managers, engineers, scientists, and others to protect people and property during floods and droughts, and to manage land, water, and biological resources. Common uses for streamflow statistics include dam, bridge, and culvert design; water-supply planning and management; water-use appropriations and permitting; wastewater and industrial discharge permitting; hydropower-facility design and regulation; and flood-plain mapping for establishing flood-insurance rates and land-use zones. In an effort to improve access to published streamflow statistics, and to make the process of computing streamflow statistics for ungaged stream sites easier, more accurate, and more consistent, the USGS and the Environmental Systems Research Institute, Inc. (ESRI) developed StreamStats (Ries and others, 2004). StreamStats is a Geographic Information System (GIS)-based Web application for serving previously published streamflow statistics and basin characteristics for USGS data-collection stations, and computing streamflow statistics and basin characteristics for ungaged stream sites. The USGS, in cooperation with the Connecticut Department of Environmental Protection and the Connecticut Department of Transportation, has implemented StreamStats for Connecticut.

Geologic map of the Nepenthes Planum Region, Mars

USGS Publications Warehouse

Skinner, James A.; Tanaka, Kenneth L.

2018-03-26

This map product contains a map sheet at 1:1,506,000 scale that shows the geology of the Nepenthes Planum region of Mars, which is located between the cratered highlands that dominate the southern hemisphere and the less-cratered sedimentary plains that dominate the northern hemisphere.  The map region contains cone- and mound-shaped landforms as well as lobate materials that are morphologically similar to terrestrial igneous or mud vents and flows. This map is part of an informal series of small-scale (large-area) maps aimed at refining current understanding of the geologic units and structures that make up the highland-to-lowland transition zone. The map base consists of a controlled Thermal Emission Imaging System (THEMIS) daytime infrared image mosaic (100 meters per pixel resolution) supplemented by a Mars Orbiter Laser Altimeter (MOLA) digital elevation model (463 meters per pixel resolution). The map includes a Description of Map Units and a Correlation of Map Units that describes and correlates units identified across the entire map region. The geologic map was assembled using ArcGIS software by Environmental Systems Research Institute (http://www.esri.com). The ArcGIS project, geodatabase, base map, and all map components are included online as supplemental data.

The GIS Weasel: An interface for the development of geographic information used in environmental simulation modeling

USGS Publications Warehouse

Viger, R.J.

2008-01-01

The GIS Weasel is a freely available, open-source software package built on top of ArcInfo Workstation?? [ESRI, Inc., 2001, ArcInfo Workstation (8.1 ed.), Redlands, CA] for creating maps and parameters of geographic features used in environmental simulation models. The software has been designed to minimize the need for GIS expertise and automate the preparation of the geographic information as much as possible. Although many kinds of data can be exploited with the GIS Weasel, the only information required is a raster dataset of elevation for the user's area of interest (AOI). The user-defined AOI serves as a starting point from which to create maps of many different types of geographic features, including sub-watersheds, streams, elevation bands, land cover patches, land parcels, or anything else that can be discerned from the available data. The GIS Weasel has a library of over 200 routines that can be applied to any raster map of geographic features to generate information about shape, area, or topological association with other features of the same or different maps. In addition, a wide variety of parameters can be derived using ancillary data layers such as soil and vegetation maps.

Web GIS in practice III: creating a simple interactive map of England's Strategic Health Authorities using Google Maps API, Google Earth KML, and MSN Virtual Earth Map Control

PubMed Central

Boulos, Maged N Kamel

2005-01-01

This eye-opener article aims at introducing the health GIS community to the emerging online consumer geoinformatics services from Google and Microsoft (MSN), and their potential utility in creating custom online interactive health maps. Using the programmable interfaces provided by Google and MSN, we created three interactive demonstrator maps of England's Strategic Health Authorities. These can be browsed online at – Google Maps API (Application Programming Interface) version, – Google Earth KML (Keyhole Markup Language) version, and – MSN Virtual Earth Map Control version. Google and MSN's worldwide distribution of "free" geospatial tools, imagery, and maps is to be commended as a significant step towards the ultimate "wikification" of maps and GIS. A discussion is provided of these emerging online mapping trends, their expected future implications and development directions, and associated individual privacy, national security and copyrights issues. Although ESRI have announced their planned response to Google (and MSN), it remains to be seen how their envisaged plans will materialize and compare to the offerings from Google and MSN, and also how Google and MSN mapping tools will further evolve in the near future. PMID:16176577

A 125 year history of topographic mapping and GIS in the U.S. Geological Survey 1884-2009, part 2: 1980-2009

USGS Publications Warehouse

Usery, E. Lynn; Varanka, Dalia; Finn, Michael P.

2009-01-01

The United States Geological Survey (USGS) entered the mainstream of developments in computer-assisted technology for mapping during the 1970s. The introduction by USGS of digital line graphs (DLGs), digital elevation models (DEMs), and land use data analysis (LUDA) nationwide land-cover data provided a base for the rapid expansion of the use of GIS in the 1980s. Whereas USGS had developed the topologically structured DLG data and the Geographic Information Retrieval and Analysis System (GIRAS) for land-cover data, the Map Overlay Statistical System (MOSS), a nontopologically structured GIS software package developed by Autometric, Inc., under contract to the U.S. Fish and Wildlife Service, dominated the use of GIS by federal agencies in the 1970s. Thus, USGS data was used in MOSS, but the topological structure, which later became a requirement for GIS vector datasets, was not used in early GIS applications. The introduction of Esri's ARC/INFO in 1982 changed that, and by the end of the 1980s, topological structure for vector data was essential, and ARC/INFO was the dominant GIS software package used by federal agencies.

Special population planner, version 4.0.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kuiper, J.; Tanzman, E.; Metz, W.

2007-03-26

Emergencies happen every day. Many are caused by storms or auto accidents and can be planned for, if not predicted. Emergencies resulting from natural hazards often affect a large number of people, and planning for them can be difficult, since knowledge of the needs of the people involved is generally unavailable. Emergencies resulting from accidents at industrial and military facilities can also be large scale in nature if people must be evacuated or sheltered in place. Federal planning for large scale emergencies is the responsibility of the Federal Emergency Management Agency (FEMA), which provides assistance to various emergency management agenciesmore » at the national, state and local level. More information about FEMA is available at http://www.fema.gov/. The purpose of the Special Population Planner (SPP) is to help emergency planners address the needs of persons with special needs. The exact definition of 'special population' is a policy decision. Policymakers have included a variety of groups in this term, such as persons with disabilities, those who do not have vehicles with which to evacuate, children who are unattended at times (latchkey children), and many others. The SPP was developed initially for the Alabama Emergency Management Agency as part of its Chemical Stockpile Emergency Preparedness Program (CSEPP), which aids emergency planning and preparedness in communities surrounding military installations across the United States where chemical weapons are stored pending their destruction under federal law. Like that specialized application, this open-source version contains a set of specialized Geographic Information System (GIS) tools to facilitate emergency planning on behalf of persons with special needs, regardless of how the term is defined. While the original SPP system was developed for emergency planning relating to chemical hazards, it can be applied to other threats as well. It is apparent from Hurricane Katrina and other natural and man-made disasters that many of the problems posed by emergency planning for a chemical weapons agent release are shared by other hazards as well. The notion that emergency planning shares common functions underlies the decision by FEMA to include the Chemical Stockpile Emergency Preparedness Program (CSEPP) in its 'all-hazards' planning approach. The CSEPP's official planning guidance operationalizes this approach by suggesting that state and local CSEPP emergency plans 'should be appended to the existing all-hazards emergency plan.' The SPP is programmed as a set of tools within an ESRI ArcMap 9.1 project. ArcMap is a component of both ESRI ArcGIS 9.1 and ESRI ArcView 9.1, and it provides a rich GIS user interface for viewing spatial and tabular data, analyzing it, and producing output reports and maps. This GIS interface has been augmented with the SPP tools for a user interface that provides custom functionality for emergency planning. The system as released also includes some hypothetical example records for special needs populations, facilities, resources, control points and sirens sufficient for showing how the system would work with real information. A GIS database is included with some publicly available example layers. The SPP is designed to support emergency planners as they address emergency management issues, and includes capabilities that support the collection and importing of data, the review of data in a spatial context, and GIS tools for emergency planning. The SPP system allows for the identification and categorization of response zones to allow for multiple levels of preparedness. An Immediate Response Zone (IRZ) might be designated as the area 0 to 10 miles from a facility where the response would be the most urgent. SPP can support more than one set of planning zones to accommodate different types of emergencies or the different jurisdictions of emergency response organizations. These areas can be delineated by any number of criteria that make sense for the area. An area like New Orleans might designate response zones based on the depth above/below sea level, or an urban area may categorize an IRZ as the 'central business district' with the PAZ encompassing the larger outlying area. Many of the sites involved in the CSEPP currently use an integrated emergency response information system to support their emergency management planning. The D2-Puff system (including or WebPuff 2.1) by Innovative Emergency Management, Inc. is the main software serving this purpose. More information on D2-Puff can be found at www.ieminc.com. SPP differs from D2-Puff in that it is designed for planning, not response to assist those with special needs, is programmed within a popular commercial GIS software system, and can be loaded with large amounts of data to support all hazards emergency planning.« less

McGee Mountain Shallow (2m) Temperature Survey, Humboldt County, Nevada 2009

DOE Data Explorer

Richard Zehner

2009-01-01

This shapefile contains location and attribute data for a shallow (2 meter) temperature survey conducted by Geothermal Technical Partners, Inc. during late 2008 and early 2009. Temperatures at 2m depth were measured at 192 separate points as outlined by Coolbaugh et al., 2007. The purpose of the survey was to try and detect a shallow thermal anomaly associated with the McGee Mountain geothermal area as discovered by Phillips Petroleum and Earth Power Resources in the late 1970’s. Drilling identified ~120oC temperatures at ~100m depth. This 2-meter survey delineated what was interpreted as a steam-heated fault zone centered along a range front fault in the vicinity of the drilled holes and fumaroles. Coolbaugh, M.F., Sladek, C., Faulds, J.E., Zehner, R.E., and Oppliger, G.L., 2007, Use of rapid temperature measurements at a 2-meter depth to augment deeper temperature gradient drilling: Proceedings, 32nd Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, CA, Jan. 22-24, 2007, p. 109-116. Zehner, R., Tullar, K., and Rutledge, E., 2012, Effectiveness of 2-Meter and geoprobe shallow temperature surveys in early stage geothermal exploration: Geothermal Resources Council Transactions, v. 36, in press.

Applying Service-Oriented Architecture on The Development of Groundwater Modeling Support System

NASA Astrophysics Data System (ADS)

Li, C. Y.; WANG, Y.; Chang, L. C.; Tsai, J. P.; Hsiao, C. T.

2016-12-01

Groundwater simulation has become an essential step on the groundwater resources management and assessment. There are many stand-alone pre- and post-processing software packages to alleviate the model simulation loading, but the stand-alone software do not consider centralized management of data and simulation results neither do they provide network sharing functions. Hence, it is difficult to share and reuse the data and knowledge (simulation cases) systematically within or across companies. Therefore, this study develops a centralized and network based groundwater modeling support system to assist model construction. The system is based on service-oriented architecture and allows remote user to develop their modeling cases on internet. The data and cases (knowledge) are thus easy to manage centralized. MODFLOW is the modeling engine of the system, which is the most popular groundwater model in the world. The system provides a data warehouse to restore groundwater observations, MODFLOW Support Service, MODFLOW Input File & Shapefile Convert Service, MODFLOW Service, and Expert System Service to assist researchers to build models. Since the system architecture is service-oriented, it is scalable and flexible. The system can be easily extended to include the scenarios analysis and knowledge management to facilitate the reuse of groundwater modeling knowledge.

The Global Streamflow Indices and Metadata archive (G-SIM): A compilation of global streamflow time series indices and meta-data

NASA Astrophysics Data System (ADS)

Do, Hong; Gudmundsson, Lukas; Leonard, Michael; Westra, Seth; Senerivatne, Sonia

2017-04-01

In-situ observations of daily streamflow with global coverage are a crucial asset for understanding large-scale freshwater resources which are an essential component of the Earth system and a prerequisite for societal development. Here we present the Global Streamflow Indices and Metadata archive (G-SIM), a collection indices derived from more than 20,000 daily streamflow time series across the globe. These indices are designed to support global assessments of change in wet and dry extremes, and have been compiled from 12 free-to-access online databases (seven national databases and five international collections). The G-SIM archive also includes significant metadata to help support detailed understanding of streamflow dynamics, with the inclusion of drainage area shapefile and many essential catchment properties such as land cover type, soil and topographic characteristics. The automated procedure in data handling and quality control of the project makes G-SIM a reproducible, extendible archive and can be utilised for many purposes in large-scale hydrology. Some potential applications include the identification of observational trends in hydrological extremes, the assessment of climate change impacts on streamflow regimes, and the validation of global hydrological models.

Level III Ecoregions of Kentucky

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Michigan

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Idaho

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Arkansas

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Mississippi

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Ohio

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Connecticut

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Georgia

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Colorado

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Wisconsin

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Oregon

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Texas

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Arkansas

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Florida

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Idaho

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Nevada

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Texas

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Virginia

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Illinois

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Virginia

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Delaware

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Wyoming

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Alabama

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Maine

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Alabama

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Nebraska

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Delaware

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Maine

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Kansas

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Louisiana

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Michigan

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Arizona

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Georgia

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Utah

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Montana

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Iowa

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Nebraska

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Vermont

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Wisconsin

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Kansas

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Tennessee

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Nevada

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Colorado

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Oklahoma

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Maryland

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Wyoming

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Connecticut

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Missouri

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Utah

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Washington

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Minnesota

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Iowa

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Massachusetts

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Tennessee

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Washington

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Maryland

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Mississippi

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Vermont

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Kentucky

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Ohio

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Illinois

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Indiana

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Louisiana

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Oklahoma

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Massachusetts

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Montana

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of California

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Pennsylvania

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Florida

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of California

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Minnesota

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Arizona

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Pennsylvania

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level IV Ecoregions of Oregon

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Indiana

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Level III Ecoregions of Missouri

EPA Pesticide Factsheets

Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco

Surficial Geologic Map of the Ashby-Lowell-Sterling-Billerica 11-Quadrangle Area in Northeast-Central Massachusetts

USGS Publications Warehouse

Stone, Byron D.; Stone, Janet R.

2007-01-01

The surficial geologic map shows the distribution of nonlithified earth materials at land surface in an area of eleven 7.5-minute quadrangles (total 505 mi2) in northeast-central Massachusetts. The geologic map differentiates surficial materials of Quaternary age on the basis of their lithologic characteristics (such as grain size and sedimentary structures), constructional geomorphic features, stratigraphic relationships, and age. Surficial earth materials significantly affect human use of the land, and an accurate description of their distribution is particularly important for water resources, construction aggregate resources, earth-surface hazards assessments, and land-use decisions. This compilation of surficial geologic materials is an interim product that defines the areas of exposed bedrock, and the boundaries between glacial till, glacial stratified deposits, and overlying postglacial deposits. This work is part of a comprehensive study to produce a statewide digital map of the surficial geology at a 1:24,000-scale level of accuracy. This report includes explanatory text (PDF), a regional map at 1:50,000 scale (PDF), quadrangle maps at 1:24,000 scale (PDF files), GIS data layers (ArcGIS shapefiles), metadata for the GIS layers, scanned topographic base maps (TIF), and a readme.txt file.

Surficial Geologic Map of the Salem Depot-Newburyport East-Wilmington-Rockport 16-Quadrangle Area in Northeast Massachusetts

USGS Publications Warehouse

Stone, Byron D.; Stone, Janet Radway; DiGiacomo-Cohen, Mary L.

2006-01-01

The surficial geologic map shows the distribution of nonlithified earth materials at land surface in an area of 16 7.5-minute quadrangles (total 658 mi2) in northeast Massachusetts. The geologic map differentiates surficial materials of Quaternary age on the basis of their lithologic characteristics (grain size, sedimentary structures, mineral and rock-particle composition), constructional geomorphic features, stratigraphic relationships, and age. Surficial earth materials significantly affect human use of the land, and an accurate description of their distribution is particularly important for water resources, construction aggregate resources, earth-surface hazards assessments, and land-use decisions. This compilation of surficial geologic materials is an interim product that defines the areas of exposed bedrock, and the boundaries between glacial till, glacial stratified deposits, and overlying postglacial deposits. This work is part of a comprehensive study to produce a statewide digital map of the surficial geology at a 1:24,000-scale level of accuracy. This report includes explanatory text (PDF), a regional map at 1:50,000 scale (PDF), quadrangle maps at 1:24,000 scale (PDF files), GIS data layers (ArcGIS shapefiles), metadata for the GIS layers, scanned topographic base maps (TIF), and a readme.txt file.

Land and federal mineral ownership coverage for the Uinta Basin, Wasatch Plateau and surrounding areas, northeastern Utah

USGS Publications Warehouse

Biewick, L.H.; Green, G.A.

1999-01-01

This Arc/Info coverage contains land status and Federal and State mineral ownership for approximately 25,900 square miles in northeastern Utah. The polygon coverage (which is also provided here as a shapefile) contains three attributes of ownership information for each polygon. One attribute indicates whether the surface is State owned, privately owned, consists of Tribal and Indian lands, or, if Federally owned, which Federal agency manages the land surface. Another attribute indicates where the Utah School and Institutional Trust Lands Administration (SITLA) maintains full or partial subsurface mineral rights. The third attribute indicates which energy minerals, if any, are owned by the Federal govenment. This coverage is based on land management status and Federal and State mineral ownership data compiled by the U.S. Geological Survey (USGS), the former U.S. Bureau of Mines (USBM), and the Utah School and Institutional Trust Lands Administration at a scale of 1:100,000. This coverage was compiled primarily to serve the USGS National Oil and Gas Resource Assessment Project in the Uinta-Piceance Basin Province and the USGS National Coal Resource Assessment Project in the Colorado Plateau.

2015 TRI National Analysis: Toxics Release Inventory Releases at Various Summary Levels

EPA Pesticide Factsheets

The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and how the 2015 TRI data compare to data from previous years. This dataset reports US state, county, large aquatic ecosystem, metro/micropolitan statistical area, and facility level statistics from 2015 TRI releases, including information on: number of 2015 TRI facilities in the geographic area and their releases (total, water, air, land); population information, including populations living within 1 mile of TRI facilities (total, minority, in poverty); and Risk Screening Environmental Indicators (RSEI) model related pounds, toxicity-weighted pounds, and RSEI score. The source of administrative boundary data is the 2013 cartographic boundary shapefiles. Location of facilities is provided by EPA's Facility Registry Service (FRS). Large Aquatic Ecosystems boundaries were dissolved from the hydrologic unit boundaries and codes for the United States, Puerto Rico, and the U.S. Virgin Islands. It was revised for inclusion in the National Atlas of the United States of America (November 2002), and updated to match the streams file created by the USGS National Mapping Division (NMD) for the National Atlas of the United States of America.

USGIN ISO metadata profile

NASA Astrophysics Data System (ADS)

Richard, S. M.

2011-12-01

The USGIN project has drafted and is using a specification for use of ISO 19115/19/39 metadata, recommendations for simple metadata content, and a proposal for a URI scheme to identify resources using resolvable http URI's(see http://lab.usgin.org/usgin-profiles). The principal target use case is a catalog in which resources can be registered and described by data providers for discovery by users. We are currently using the ESRI Geoportal (Open Source), with configuration files for the USGIN profile. The metadata offered by the catalog must provide sufficient content to guide search engines to locate requested resources, to describe the resource content, provenance, and quality so users can determine if the resource will serve for intended usage, and finally to enable human users and sofware clients to obtain or access the resource. In order to achieve an operational federated catalog system, provisions in the ISO specification must be restricted and usage clarified to reduce the heterogeneity of 'standard' metadata and service implementations such that a single client can search against different catalogs, and the metadata returned by catalogs can be parsed reliably to locate required information. Usage of the complex ISO 19139 XML schema allows for a great deal of structured metadata content, but the heterogenity in approaches to content encoding has hampered development of sophisticated client software that can take advantage of the rich metadata; the lack of such clients in turn reduces motivation for metadata producers to produce content-rich metadata. If the only significant use of the detailed, structured metadata is to format into text for people to read, then the detailed information could be put in free text elements and be just as useful. In order for complex metadata encoding and content to be useful, there must be clear and unambiguous conventions on the encoding that are utilized by the community that wishes to take advantage of advanced metadata content. The use cases for the detailed content must be well understood, and the degree of metadata complexity should be determined by requirements for those use cases. The ISO standard provides sufficient flexibility that relatively simple metadata records can be created that will serve for text-indexed search/discovery, resource evaluation by a user reading text content from the metadata, and access to the resource via http, ftp, or well-known service protocols (e.g. Thredds; OGC WMS, WFS, WCS).

Geomorphological evolution of volcanic fluvial channels: Eighteen years of morphological monitoring of the upper strect of the Tenenepanco Gorge, Popocatépetl volcano, Mexico

NASA Astrophysics Data System (ADS)

Tanarro, Luis Miguel; Juan Zamorano, Jose; Andres, Nuria; Palacios, David

2015-04-01

During volcanic eruptions a significant volume of material accumulates on the slopes and pre-existing gorges of the stratovolcanoes. This abundance of loose and unconsolidated material is very likely to be mobilized by rapid flows or lahars generated by sudden heavy rain or melting snow and ice. Thus, volcanic gorges are affected by complex cycles of incision, filling and widening, altering the equilibrium of river systems due to the major changes that lahars cause in channel morphology. These geomorphological dynamics characterize the gorges located on the north flank of the Popocatépetl volcano (19°02' N, 98°62' W, 5424 m). This volcano, located in the centre of the Trans-Mexican Volcanic Belt, began its most recent eruptive period in December 1994, when a glacier partially covered the northern slope. Since then, the interaction of volcanic and glacier activity triggered the formation of lahars in the gorges, causing significant morphological changes in the channel (especially in April 1995, July 1997 and January 2001). The most recent major eruption at Popocatépetl took place on 19 July 2003, and since then a series of smaller eruptions has reduced the glacier to near extinction. The aim of this study is to assess the morphological response of the Tenenepanco channel over an 18-year period, from 1995-2013, where two main scenarios can be observed: a) the period from 1995 to 2001 of volcanic activity and glacier retreat with the formation of flows and b) the period from 2002 to 2013 of relative volcanic calm, the almost complete extinction of the glacier, and the formation of secondary lahars associated with heavy rainfall. Monitoring of the gorge has consisted in the elaboration of 14 geomorphological maps during field studies (November 14, 1995, December 5, 1997, February 7, 1998, October 6, 2001, November 14, 1995, December 5, 1997, February 7, 1998, October 6, 2001, Julio 16, 2002, February 11, 2004, September 8, 2004, February 5, 2006, November 2, 2008, February 5, 2008, November 5, 2009, November 5, 2010, November 9, 2011, November 6, 2013). An additional map (May-1989) was made based on photo-interpretation of aerial photographs taken during that period. A set of 13 morphological units were recognized in each of the maps. Subsequently, the maps were georeferenced using a 2010 orthophoto and the image of Google Earth from 2013. In a second step the 15 maps were digitized and the topology created in a CAD environment (Bentley Microstation V8i). Finally a spatial analysis was carried out in a GIS (ESRI ArcMap 10) in order to study the morphological variations of the channel gorge. The preliminary results show that during the initial period (1995-2001) channel evolution is more variable, with episodes in which the bottom of the gorge is eroded with multiple channels alternating with others where there is only a single channel. These moments presumably coincide with volcanic activity which provides abundant material that fills the smaller gullies and concentrates the lahars in a single channel. However, the secondary flows in the 2002-2013 period tend to merge into one wide channel that drops in depth, creating pseudo-terraces. Research funded by Cryocrisis project (CGL2012-35858), Government of Spain

Near Real-Time Georeference of Umanned Aerial Vehicle Images for Post-Earthquake Response

NASA Astrophysics Data System (ADS)

Wang, S.; Wang, X.; Dou, A.; Yuan, X.; Ding, L.; Ding, X.

2018-04-01

The rapid collection of Unmanned Aerial Vehicle (UAV) remote sensing images plays an important role in the fast submitting disaster information and the monitored serious damaged objects after the earthquake. However, for hundreds of UAV images collected in one flight sortie, the traditional data processing methods are image stitching and three-dimensional reconstruction, which take one to several hours, and affect the speed of disaster response. If the manual searching method is employed, we will spend much more time to select the images and the find images do not have spatial reference. Therefore, a near-real-time rapid georeference method for UAV remote sensing disaster data is proposed in this paper. The UAV images are achieved georeference combined with the position and attitude data collected by UAV flight control system, and the georeferenced data is organized by means of world file which is developed by ESRI. The C # language is adopted to compile the UAV images rapid georeference software, combined with Geospatial Data Abstraction Library (GDAL). The result shows that it can realize rapid georeference of remote sensing disaster images for up to one thousand UAV images within one minute, and meets the demand of rapid disaster response, which is of great value in disaster emergency application.

National Assessment of Oil and Gas Project: Areas of Historical Oil and Gas Exploration and Production in the United States

USGS Publications Warehouse

Biewick, Laura

2008-01-01

This report contains maps and associated spatial data showing historical oil and gas exploration and production in the United States. Because of the proprietary nature of many oil and gas well databases, the United States was divided into cells one-quarter square mile and the production status of all wells in a given cell was aggregated. Base-map reference data are included, using the U.S. Geological Survey (USGS) National Map, the USGS and American Geological Institute (AGI) Global GIS, and a World Shaded Relief map service from the ESRI Geography Network. A hardcopy map was created to synthesize recorded exploration data from 1859, when the first oil well was drilled in the U.S., to 2005. In addition to the hardcopy map product, the data have been refined and made more accessible through the use of Geographic Information System (GIS) tools. The cell data are included in a GIS database constructed for spatial analysis via the USGS Internet Map Service or by importing the data into GIS software such as ArcGIS. The USGS internet map service provides a number of useful and sophisticated geoprocessing and cartographic functions via an internet browser. Also included is a video clip of U.S. oil and gas exploration and production through time.

Evolution of democracy in Europe

NASA Astrophysics Data System (ADS)

Oberoi, Mukesh K.

The emphasis of this thesis is to build an intuitive and robust GIS (Geographic Information systems) Tool which will give a survey on the evolution of democracy in European countries. The user can know about the evolution of the democratic histories of these countries by just clicking on them on the map. The information is provided in separate HTML pages which will give information about start of revolution, transition to democracy, current legislature, women's status in the country etc. There are two separate web pages for each country- one shows the detailed explanation on how democracy evolved in diff. countries and another page contains a timeline which holds key events of the evolution. The tool has been developed in JAVA. For the European map MOJO (Map Objects Java Objects) is used. MOJO is developed by ESRI. The major features shown on the European map were designed using MOJO. MOJO made it easy to incorporate the statistical data with these features. The user interface, as well as the language was intentionally kept simple and easy to use, to broaden the potential audience. To keep the user engaged, key aspects are explained using HTML pages. The idea is that users can view the timeline to get a quick overview and can go through the other html page to learn about things in more detail.

World distribution of uranium deposits

USGS Publications Warehouse

Fairclough, M. C.; Irvine, J. A.; Katona, L. F.; Simmon, W. L.; Bruneton, P.; Mihalasky, Mark J.; Cuney, M.; Aranha, M.; Pylypenko, O.; Poliakovska, K.

2018-01-01

Deposit data derived from IAEA UDEPO (http://infcis.iaea.org/UDEPO/About.cshtml) database with assistance from P. Bruneton (France) and M. Mihalasky (U.S.A.). The map is an updated companion to "World Distribution of Uranium Deposits (UDEPO) with Uranium Deposit Classification, IAEA Tech-Doc-1629". Geology was derived from L.B. Chorlton, Generalized Geology of the World, Geological Survey of Canada, Open File 5529 , 2007. Map production by M.C. Fairclough (IAEA), J.A. Irvine (Austrailia), L.F. Katona (Australia) and W.L. Slimmon (Canada). World Distribution of Uranium Deposits, International Atomic Energy Agency, Vienna, Austria. Cartographic Assistance was supplied by the Geological Survey of South Australia, the Saskatchewan Geological Survey and United States Geological Survey to the IAEA. Coastlines, drainage, and country boundaries were obtained from ArcMap, 1:25 000 000 scale, and are copyrighted data containing the intellectual property of Environmental Systems Research Institute (ESRI). The use of particular designations of countries or territories does not imply any judgment by the publisher, the IAEA, as to the legal status of such countries or territories, of their authorities and institutions or of the delimitation of their boundaries. Any revisions or additional geological information known to the user would be welcomed by the International Atomic Energy Agency and the Geological Survey of Canada.

Panoramic Images Mapping Tools Integrated Within the ESRI ArcGIS Software

NASA Astrophysics Data System (ADS)

Guo, Jiao; Zhong, Ruofei; Zeng, Fanyang

2014-03-01

There is a general study on panoramic images which are presented along with appearance of the Google street map. Despite 360 degree viewing of street, we can realize more applications over panoramic images. This paper developed a toolkits plugged in ArcGIS, which can view panoramic photographs at street level directly from ArcMap and measure and capture all visible elements as frontages, trees and bridges. We use a series of panoramic images adjoined with absolute coordinate through GPS and IMU. There are two methods in this paper to measure object from these panoramic images: one is to intersect object position through a stereogram; the other one is multichip matching involved more than three images which all cover the object. While someone wants to measure objects from these panoramic images, each two panoramic images which both contain the object can be chosen to display on ArcMap. Then we calculate correlation coefficient of the two chosen panoramic images so as to calculate the coordinate of object. Our study test different patterns of panoramic pairs and compare the results of measurement to the real value of objects so as to offer the best choosing suggestion. The article has mainly elaborated the principles of calculating correlation coefficient and multichip matching.

Integrating multisource land use and land cover data

USGS Publications Warehouse

Wright, Bruce E.; Tait, Mike; Lins, K.F.; Crawford, J.S.; Benjamin, S.P.; Brown, Jesslyn F.

1995-01-01

As part of the U.S. Geological Survey's (USGS) land use and land cover (LULC) program, the USGS in cooperation with the Environmental Systems Research Institute (ESRI) is collecting and integrating LULC data for a standard USGS 1:100,000-scale product. The LULC data collection techniques include interpreting spectrally clustered Landsat Thematic Mapper (TM) images; interpreting 1-meter resolution digital panchromatic orthophoto images; and, for comparison, aggregating locally available large-scale digital data of urban areas. The area selected is the Vancouver, WA-OR quadrangle, which has a mix of urban, rural agriculture, and forest land. Anticipated products include an integrated LULC prototype data set in a standard classification scheme referenced to the USGS digital line graph (DLG) data of the area and prototype software to develop digital LULC data sets.This project will evaluate a draft standard LULC classification system developed by the USGS for use with various source material and collection techniques. Federal, State, and local governments, and private sector groups will have an opportunity to evaluate the resulting prototype software and data sets and to provide recommendations. It is anticipated that this joint research endeavor will increase future collaboration among interested organizations, public and private, for LULC data collection using common standards and tools.

Basin Characteristics for Selected Streamflow-Gaging Stations In and Near West Virginia

USGS Publications Warehouse

Paybins, Katherine S.

2008-01-01

Basin characteristics have long been used to develop equations describing streamflow. In the past, flow equations used in West Virginia were based on a few hand-calculated basin characteristics. More recently, the use of a Geographic Information System (GIS) to generate basin characteristics from existing datasets has refined the process for developing equations to describe flow values in the Mountain State. These basin characteristics are described in this document for streamflow-gaging stations in and near West Virginia. The GIS program developed in ArcGIS Workstation by Environmental Systems Research Institute (ESRI?) used data that included National Elevation Dataset (NED) at 1:24,000 scale, climate data from the National Oceanic and Atmospheric Agency (NOAA), streamlines from the National Hydrologic Dataset (NHD), and LandSat-based land-cover data (NLCD) for the period 1999-2003. Full automation of data generation was not achieved due to some inaccuracies in the elevation dataset, as well as inaccuracies in the streamflow-gage locations retrieved from the National Water Information System (NWIS). A Pearson?s correlation examination of the data indicates that several of the basin characteristics are correlated with drainage area. However, the GIS-generated data provide a consistent and documented set of basin characteristics for resource managers and researchers to use.

Surface Rupture Map of the 2002 M7.9 Denali Fault Earthquake, Alaska: Digital Data

USGS Publications Warehouse

Haeussler, Peter J.

2009-01-01

The November 3, 2002, Mw7.9 Denali Fault earthquake produced about 340 km of surface rupture along the Susitna Glacier Thrust Fault and the right-lateral, strike-slip Denali and Totschunda Faults. Digital photogrammetric methods were primarily used to create a 1:500-scale, three-dimensional surface rupture map, and 1:6,000-scale aerial photographs were used for three-dimensional digitization in ESRI's ArcMap GIS software, using Leica's StereoAnalyst plug in. Points were digitized 4.3 m apart, on average, for the entire surface rupture. Earthquake-induced landslides, sackungen, and unruptured Holocene fault scarps on the eastern Denali Fault were also digitized where they lay within the limits of air photo coverage. This digital three-dimensional fault-trace map is superior to traditional maps in terms of relative and absolute accuracy, completeness, and detail and is used as a basis for three-dimensional visualization. Field work complements the air photo observations in locations of dense vegetation, on bedrock, or in areas where the surface trace is weakly developed. Seventeen km of the fault trace, which broke through glacier ice, were not digitized in detail due to time constraints, and air photos missed another 10 km of fault rupture through the upper Black Rapids Glacier, so that was not mapped in detail either.

Surficial Geologic Map of the Clinton-Concord-Grafton-Medfield 12-Quadrangle Area in East Central Massachusetts

USGS Publications Warehouse

Stone, Janet R.; Stone, Byron D.

2006-01-01

The surficial geologic map shows the distribution of nonlithified earth materials at land surface in an area of twelve 7.5-minute quadrangles (total 660 square miles) in east-central Massachusetts. The geologic map differentiates surficial materials of Quaternary age on the basis of their lithologic characteristics (grain size, sedimentary structures, mineral and rock-particle composition), constructional geomorphic features, stratigraphic relationships, and age. Surficial earth materials significantly affect human use of the land, and an accurate description of their distribution is particularly important for water resources, construction aggregate resources, earth-surface hazards assessments, and land-use decisions. This compilation of surficial geologic materials is an interim product that defines the areas of exposed bedrock, and the boundaries between glacial till, glacial stratified deposits, and overlying postglacial deposits. This work is part of a comprehensive study to produce a statewide digital map of the surficial geology at a 1:24,000-scale level of accuracy. This report includes explanatory text (PDF), a regional map at 1:50,000 scale (PDF), quadrangle maps at 1:24,000 scale (12 PDF files), GIS data layers (ArcGIS shapefiles), scanned topographic base maps (TIF), metadata for the GIS layers, and a readme.txt file.