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Sample records for passive smap mission

  1. The Soil Moisture Active and Passive (SMAP) Mission

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active and Passive (SMAP) Mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council’s Decadal Survey. SMAP will make global measurements of the moisture present at Earth's land surface and will distinguish frozen f...

  2. The Soil Moisture Active and Passive (SMAP) Mission

    NASA Technical Reports Server (NTRS)

    Entekhabi, Dara; Nijoku, Eni G.; ONeill, Peggy E.; Kellogg, Kent H.; Crow, Wade T.; Edelstein, Wendy N.; Entin, Jared K.; Goodman, Shawn D.; Jackson, Thomas J.; Johnson, Joel; Kimball, John; Piepmeier, Jeffrey R.; Koster, Randal D.; McDonald, Kyle C.; Moghaddam, Mahta; Moran, Susan; Reichle, Rolf; Shi, J. C.; Spencer, Michael W.; Thurman, Samuel W.; Tsang, Leung; VanZyl, Jakob

    2009-01-01

    The Soil Moisture Active and Passive (SMAP) Mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council s Decadal Survey. SMAP will make global measurements of the moisture present at Earth's land surface and will distinguish frozen from thawed land surfaces. Direct observations of soil moisture and freeze/thaw state from space will allow significantly improved estimates of water, energy and carbon transfers between land and atmosphere. Soil moisture measurements are also of great importance in assessing flooding and monitoring drought. SMAP observations can help mitigate these natural hazards, resulting in potentially great economic and social benefits. SMAP soil moisture and freeze/thaw timing observations will also reduce a major uncertainty in quantifying the global carbon balance by helping to resolve an apparent missing carbon sink on land over the boreal latitudes. The SMAP mission concept would utilize an L-band radar and radiometer. These instruments will share a rotating 6-meter mesh reflector antenna to provide high-resolution and high-accuracy global maps of soil moisture and freeze/thaw state every two to three days. The SMAP instruments provide direct measurements of surface conditions. In addition, the SMAP project will use these observations with advanced modeling and data assimilation to provide deeper root-zone soil moisture and estimates of land surface-atmosphere exchanges of water, energy and carbon. SMAP is scheduled for a 2014 launch date

  3. The NASA Soil Moisture Active Passive (SMAP) Mission: Overview

    NASA Technical Reports Server (NTRS)

    O'Neill, Peggy; Entekhabi, Dara; Njoku, Eni; Kellogg, Kent

    2011-01-01

    The Soil Moisture Active Passive (SMAP) mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council?s Decadal Survey [1]. Its mission design consists of L-band radiometer and radar instruments sharing a rotating 6-m mesh reflector antenna to provide high-resolution and high-accuracy global maps of soil moisture and freeze/thaw state every 2-3 days. The combined active/passive microwave soil moisture product will have a spatial resolution of 10 km and a mean latency of 24 hours. In addition, the SMAP surface observations will be combined with advanced modeling and data assimilation to provide deeper root zone soil moisture and net ecosystem exchange of carbon. SMAP is expected to launch in the late 2014 - early 2015 time frame.

  4. The Soil Moisture Active/Passive Mission (SMAP)

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active/Passive (SMAP) mission will deliver global views of soil moisture content and its freeze/thaw state that are critical terrestrial water cycle state variables. Polarized measurements obtained with a shared antenna L-band radar and radiometer system will allow accurate estima...

  5. Fostering Application Opportunites for the NASA Soil Moisture Active Passive (SMAP) Mission

    NASA Technical Reports Server (NTRS)

    Moran, M. Susan; O'Neill, Peggy E.; Entekhabi, Dara; Njoku, Eni G.; Kellogg, Kent H.

    2010-01-01

    The NASA Soil Moisture Active Passive (SMAP) Mission will provide global observations of soil moisture and freeze/thaw state from space. We outline how priority applications contributed to the SMAP mission measurement requirements and how the SMAP mission plans to foster applications and applied science.

  6. NASA's Soil Moisture Active and Passive (SMAP) Mission

    NASA Technical Reports Server (NTRS)

    Kellogg, Kent; Njoku, Eni; Thurman, Sam; Edelstein, Wendy; Jai, Ben; Spencer, Mike; Chen, Gun-Shing; Entekhabi, Dara; O'Neill, Peggy; Piepmeier, Jeffrey; hide

    2010-01-01

    The Soil Moisture Active-Passive (SMAP) Mission is one of the first Earth observation satellites being formulated by NASA in response to the 2007 National Research Council s Decadal Survey. SMAP will make global measurements of soil moisture at the Earth's land surface and its freeze-thaw state. These measurements will allow significantly improved estimates of water, energy and carbon transfers between the land and atmosphere. Soil moisture measurements are also of great importance in assessing flooding and monitoring drought. Knowledge gained from SMAP observations can help mitigate these natural hazards, resulting in potentially great economic and social benefits. SMAP observations of soil moisture and freeze/thaw timing over the boreal latitudes will also reduce a major uncertainty in quantifying the global carbon balance and help to resolve an apparent missing carbon sink over land. The SMAP mission concept will utilize an L-band radar and radiometer sharing a rotating 6-meter mesh reflector antenna flying in a 680 km polar orbit with an 8-day exact ground track repeat aboard a 3-axis stabilized spacecraft to provide high-resolution and high-accuracy global maps of soil moisture and freeze/thaw state every two to three days. In addition, the SMAP project will use these surface observations with advanced modeling and data assimilation to provide estimates of deeper root-zone soil moisture and net ecosystem exchange of carbon. SMAP recently completed its Phase A Mission Concept Study Phase for NASA and transitioned into Phase B (Formulation and Detailed Design). A number of significant accomplishments occurred during this initial phase of mission development. The SMAP project held several open meetings to solicit community feedback on possible science algorithms, prepared preliminary draft Algorithm Theoretical Basis Documents (ATBDs) for each mission science product, and established a prototype algorithm testbed to enable testing and evaluation of the

  7. NASA Soil Moisture Active Passive (SMAP) Mission Formulation

    NASA Technical Reports Server (NTRS)

    Entekhabi, Dara; Njoku, Eni; ONeill, Peggy; Kellogg, Kent; Entin, Jared

    2011-01-01

    The Soil Moisture Active Passive (SMAP) Mission is one of the first Earth observation satellites being formulated by NASA in response to the 2007 National Research Council s Earth Science Decadal Survey [1]. SMAP s measurement objectives are high-resolution global measurements of near-surface soil moisture and its freeze-thaw state. These measurements would allow significantly improved estimates of water, energy and carbon transfers between the land and atmosphere. The soil moisture control of these fluxes is a key factor in the performance of atmospheric models used for weather forecasts and climate projections. Soil moisture measurements are also of great importance in assessing flooding and monitoring drought. Knowledge gained from SMAP s planned observations can help mitigate these natural hazards, resulting in potentially great economic and societal benefits. SMAP measurements would also yield high resolution spatial and temporal mapping of the frozen or thawed condition of the surface soil and vegetation. Observations of soil moisture and freeze/thaw timing over the boreal latitudes will contribute to reducing a major uncertainty in quantifying the global carbon balance and help resolve an apparent missing carbon sink over land. The SMAP mission would utilize an L-band radar and radiometer sharing a rotating 6-meter mesh reflector antenna (see Figure 1) [2]. The radar and radiometer instruments would be carried onboard a 3-axis stabilized spacecraft in a 680 km polar orbit with an 8-day repeating ground track. The instruments are planned to provide high-resolution and high-accuracy global maps of soil moisture at 10 km resolution and freeze/thaw at 3 km resolution, every two to three days (see Table 1 for a list of science data products). The mission is adopting a number of approaches to identify and mitigate potential terrestrial radio frequency interference (RFI). These approaches are being incorporated into the radiometer and radar flight hardware and

  8. The NASA Soil Moisture Active Passive (SMAP) Mission Formulation

    NASA Technical Reports Server (NTRS)

    Entekhabi, Dara; Njoku, Eni; ONeill, Peggy; Kellogg, Kent; Entin, Jared

    2011-01-01

    The Soil Moisture Active Passive (SMAP) mission is one of the first-tier projects recommended by the U.S. National Research Council Committee on Earth Science and Applications from Space. The SMAP mission is in formulation phase and it is scheduled for launch in 2014. The SMAP mission is designed to produce high-resolution and accurate global mapping of soil moisture and its freeze/thaw state using an instrument architecture that incorporates an L-band (1.26 GHz) radar and an L-band (1.41 GHz) radiometer. The simultaneous radar and radiometer measurements will be combined to derive global soil moisture mapping at 9 [km] resolution with a 2 to 3 days revisit and 0.04 [cm3 cm-3] (1 sigma) soil water content accuracy. The radar measurements also allow the binary detection of surface freeze/thaw state. The project science goals address in water, energy and carbon cycle science as well as provide improved capabilities in natural hazards applications.

  9. NASA’s Soil Moisture Active Passive (SMAP) mission and opportunities for applications users

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) mission is one of four first-tier missions recommended by the National Research Council's Committee on Earth Science and Applications from Space. Set to launch in 2014, SMAP soil moisture and freeze/thaw measurements will have an accuracy, resolution, and glob...

  10. FOSTERING APPLICATIONS OPPORTUNITIES FOR THE NASA SOIL MOISTURE ACTIVE PASSIVE (SMAP) MISSION

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) Mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council’s (NRC’s) Decadal Survey, Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond. SMAP will ma...

  11. The soil moisture active passive experiments (SMAPEx): Towards soil moisture retrieval from the SMAP mission

    USDA-ARS?s Scientific Manuscript database

    NASA’s Soil Moisture Active Passive (SMAP) mission, scheduled for launch in 2014, will carry the first combined L-band radar and radiometer system with the objective of mapping near surface soil moisture and freeze/thaw state globally at near-daily time step (2-3 days). SMAP will provide three soil ...

  12. The soil moisture active passive (SMAP) mission and validation

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) satellite will be launched by the National Aeronautics and Space Administration in October 2014. This satellite is the culmination of basic research and applications development over the past thirty years. During most of this period, research and development o...

  13. The Soil Moisture Active/Passive (SMAP) Mission Radar: A Novel Conically Scanning SAR

    NASA Technical Reports Server (NTRS)

    Spencer, Michael; Chan, Samuel; Veilleux, Louise; Wheeler, Kevin

    2009-01-01

    The Soil Moisture Active/Passive (SMAP) mission is a NASA mission identified by the NRC "decadal survey" to measure both soil moisture and freeze/thaw state from space. The mission will use both active radar and passive radiometer instruments at L-Band. In order to achieve a wide swath at sufficiently high resolution for both active and passive chan-nels, an instrument architecture that uses a large rotating reflector is employed. The active radar will further utilize SAR processing in order to obtain the sub-footprint resolution necessary for the geophysical retrievals. The SMAP radar has a unique geometry where the antenna footprint is continuously rotated about nadir in a conical fashion, as opposed to the more common side-looking SAR design. In additional to the unconventional scan geometry, the SMAP radar must address the effects of Faraday rotation and radio frequency interference (RFI), both consequences of the L-Band frequency of operation.

  14. The Soil Moisture Active/Passive (SMAP) Mission Radar: A Novel Conically Scanning SAR

    NASA Technical Reports Server (NTRS)

    Spencer, Michael; Chan, Samuel; Veilleux, Louise; Wheeler, Kevin

    2009-01-01

    The Soil Moisture Active/Passive (SMAP) mission is a NASA mission identified by the NRC "decadal survey" to measure both soil moisture and freeze/thaw state from space. The mission will use both active radar and passive radiometer instruments at L-Band. In order to achieve a wide swath at sufficiently high resolution for both active and passive chan-nels, an instrument architecture that uses a large rotating reflector is employed. The active radar will further utilize SAR processing in order to obtain the sub-footprint resolution necessary for the geophysical retrievals. The SMAP radar has a unique geometry where the antenna footprint is continuously rotated about nadir in a conical fashion, as opposed to the more common side-looking SAR design. In additional to the unconventional scan geometry, the SMAP radar must address the effects of Faraday rotation and radio frequency interference (RFI), both consequences of the L-Band frequency of operation.

  15. The NASA Soil Moisture Active Passive (SMAP) Mission - Science and Data Product Development Status

    NASA Technical Reports Server (NTRS)

    Nloku, E.; Entekhabi, D.; O'Neill, P.

    2012-01-01

    The Soil Moisture Active Passive (SMAP) mission, planned for launch in late 2014, has the objective of frequent, global mapping of near-surface soil moisture and its freeze-thaw state. The SMAP measurement system utilizes an L-band radar and radiometer sharing a rotating 6-meter mesh reflector antenna. The instruments will operate on a spacecraft in a 685 km polar orbit with 6am/6pm nodal crossings, viewing the surface at a constant 40-degree incidence angle with a 1000-km swath width, providing 3-day global coverage. Data from the instruments will yield global maps of soil moisture and freeze/thaw state at 10 km and 3 km resolutions, respectively, every two to three days. The 10-km soil moisture product will be generated using a combined radar and radiometer retrieval algorithm. SMAP will also provide a radiometer-only soil moisture product at 40-km spatial resolution and a radar-only soil moisture product at 3-km resolution. The relative accuracies of these products will vary regionally and will depend on surface characteristics such as vegetation water content, vegetation type, surface roughness, and landscape heterogeneity. The SMAP soil moisture and freeze/thaw measurements will enable significantly improved estimates of the fluxes of water, energy and carbon between the land and atmosphere. Soil moisture and freeze/thaw controls of these fluxes are key factors in the performance of models used for weather and climate predictions and for quantifYing the global carbon balance. Soil moisture measurements are also of importance in modeling and predicting extreme events such as floods and droughts. The algorithms and data products for SMAP are being developed in the SMAP Science Data System (SDS) Testbed. In the Testbed algorithms are developed and evaluated using simulated SMAP observations as well as observational data from current airborne and spaceborne L-band sensors including data from the SMOS and Aquarius missions. We report here on the development status

  16. The Planned Soil Moisture Active Passive (SMAP) Mission L-Band Radar/Radiometer Instrument

    NASA Technical Reports Server (NTRS)

    Spencer, Michael; Wheeler, Kevin; Chan, Samuel; Piepmeier, Jeffrey; Hudson, Derek; Medeiros, James

    2011-01-01

    The Soil Moisture Active/Passive (SMAP) mission is a NASA mission identified by the NRC 'decadal survey' to measure both soil moisture and freeze/thaw state from space. The mission will use both active radar and passive radiometer instruments at L-Band. In order to achieve a wide swath at sufficiently high resolution for both active and passive channels, an instrument architecture that uses a large rotating reflector is employed. The instrument system has completed the preliminary design review (PDR) stage, and detailed instrument design has begun. In addition to providing an overview of the instrument design, two recent design modifications are discussed: 1) The addition of active thermal control to the instrument spun side to provide a more stable, settable thermal environment for the radiometer electronics, and 2) A 'sequential transmit' strategy for the two radar polarization channels which allows a single high-power amplifier to be used.

  17. The Planned Soil Moisture Active Passive (SMAP) Mission L-Band Radar/Radiometer Instrument

    NASA Technical Reports Server (NTRS)

    Spencer, Michael; Wheeler, Kevin; Chan, Samuel; Piepmeier, Jeffrey; Hudson, Derek; Medeiros, James

    2011-01-01

    The Soil Moisture Active/Passive (SMAP) mission is a NASA mission identified by the NRC 'decadal survey' to measure both soil moisture and freeze/thaw state from space. The mission will use both active radar and passive radiometer instruments at L-Band. In order to achieve a wide swath at sufficiently high resolution for both active and passive channels, an instrument architecture that uses a large rotating reflector is employed. The instrument system has completed the preliminary design review (PDR) stage, and detailed instrument design has begun. In addition to providing an overview of the instrument design, two recent design modifications are discussed: 1) The addition of active thermal control to the instrument spun side to provide a more stable, settable thermal environment for the radiometer electronics, and 2) A 'sequential transmit' strategy for the two radar polarization channels which allows a single high-power amplifier to be used.

  18. Monte Carlo Analysis of the Commissioning Phase Maneuvers of the Soil Moisture Active Passive (SMAP) Mission

    NASA Technical Reports Server (NTRS)

    Williams, Jessica L.; Bhat, Ramachandra S.; You, Tung-Han

    2012-01-01

    The Soil Moisture Active Passive (SMAP) mission will perform soil moisture content and freeze/thaw state observations from a low-Earth orbit. The observatory is scheduled to launch in October 2014 and will perform observations from a near-polar, frozen, and sun-synchronous Science Orbit for a 3-year data collection mission. At launch, the observatory is delivered to an Injection Orbit that is biased below the Science Orbit; the spacecraft will maneuver to the Science Orbit during the mission Commissioning Phase. The delta V needed to maneuver from the Injection Orbit to the Science Orbit is computed statistically via a Monte Carlo simulation; the 99th percentile delta V (delta V99) is carried as a line item in the mission delta V budget. This paper details the simulation and analysis performed to compute this figure and the delta V99 computed per current mission parameters.

  19. Monte Carlo Analysis of the Commissioning Phase Maneuvers of the Soil Moisture Active Passive (SMAP) Mission

    NASA Technical Reports Server (NTRS)

    Williams, Jessica L.; Bhat, Ramachandra S.; You, Tung-Han

    2012-01-01

    The Soil Moisture Active Passive (SMAP) mission will perform soil moisture content and freeze/thaw state observations from a low-Earth orbit. The observatory is scheduled to launch in October 2014 and will perform observations from a near-polar, frozen, and sun-synchronous Science Orbit for a 3-year data collection mission. At launch, the observatory is delivered to an Injection Orbit that is biased below the Science Orbit; the spacecraft will maneuver to the Science Orbit during the mission Commissioning Phase. The delta V needed to maneuver from the Injection Orbit to the Science Orbit is computed statistically via a Monte Carlo simulation; the 99th percentile delta V (delta V99) is carried as a line item in the mission delta V budget. This paper details the simulation and analysis performed to compute this figure and the delta V99 computed per current mission parameters.

  20. The Soil Moisture Active and Passive Mission (SMAP): Science and Applications

    NASA Technical Reports Server (NTRS)

    Entekhabi, Dara; O'Neill, Peggy; Njoku, Eni

    2009-01-01

    The Soil Moisture Active and Passive mission (SMAP) will provide global maps of soil moisture content and surface freeze/thaw state. Global measurements of these variables are critical for terrestrial water and carbon cycle applications. The SMAP observatory consists of two multipolarization L-band sensors, a radar and radiometer, that share a deployable-mesh reflector antenna. The combined observations from the two sensors will allow accurate estimation of soil moisture at hydrometeorological (10 km) and hydroclimatological (40 km) spatial scales. The rotating antenna configuration provides conical scans of the Earth surface at a constant look angle. The wide-swath (1000 km) measurements will allow global mapping of soil moisture and its freeze/thaw state with 2-3 days revisit. Freeze/thaw in boreal latitudes will be mapped using the radar at 3 km resolution with 1-2 days revisit. The synergy of active and passive observations enables measurements of soil moisture and freeze/thaw state with unprecedented resolution, sensitivity, area coverage and revisit.

  1. Soil Moisture Active Passive (SMAP) Mission Level 4 Carbon (L4_C) Product Specification Document

    NASA Technical Reports Server (NTRS)

    Glassy, Joe; Kimball, John S.; Jones, Lucas; Reichle, Rolf H.; Ardizzone, Joseph V.; Kim, Gi-Kong; Lucchesi, Robert A.; Smith, Edmond B.; Weiss, Barry H.

    2015-01-01

    This is the Product Specification Document (PSD) for Level 4 Surface and Root Zone Soil Moisture (L4_SM) data for the Science Data System (SDS) of the Soil Moisture Active Passive (SMAP) project. The L4_SM data product provides estimates of land surface conditions based on the assimilation of SMAP observations into a customized version of the NASA Goddard Earth Observing System, Version 5 (GEOS-5) land data assimilation system (LDAS). This document applies to any standard L4_SM data product generated by the SMAP Project.

  2. Cost-Effective Telemetry and Command Ground Systems Automation Strategy for the Soil Moisture Active Passive (SMAP) Mission

    NASA Technical Reports Server (NTRS)

    Choi, Joshua S.; Sanders, Antonio L.

    2012-01-01

    Soil Moisture Active Passive (SMAP) is an Earth-orbiting, remote-sensing NASA mission slated for launch in 2014.[double dagger] The ground data system (GDS) being developed for SMAP is composed of many heterogeneous subsystems, ranging from those that support planning and sequencing to those used for real-time operations, and even further to those that enable science data exchange. A full end-to-end automation of the GDS may result in cost savings during mission operations, but it would require a significant upfront investment to develop such comprehensive automation. As demonstrated by the Jason-1 and Wide-field Infrared Survey Explorer (WISE) missions, a measure of "lights-out" automation for routine, orbital pass ground operations can still reduce mission cost through smaller staffing of operators and limited work hours. The challenge, then, for the SMAP GDS engineering team is to formulate an automated operations strategy--and corresponding system architecture--to minimize operator intervention during operations, while balancing the development cost associated with the scope and complexity of automation. This paper discusses the automated operations approach being developed for the SMAP GDS. The focus is on automating the activities involved in routine passes, which limits the scope to real-time operations. A key subsystem of the SMAP GDS--NASA's AMMOS Mission Data Processing and Control System (AMPCS)--provides a set of capabilities that enable such automation. Also discussed are the lights-out pass automations of the Jason-1 and WISE missions and how they informed the automation strategy for SMAP. The paper aims to provide insights into what is necessary in automating the GDS operations for Earth satellite missions.

  3. Cost-Effective Telemetry and Command Ground Systems Automation Strategy for the Soil Moisture Active Passive (SMAP) Mission

    NASA Technical Reports Server (NTRS)

    Choi, Josh; Sanders, Antonio

    2012-01-01

    Soil Moisture Active Passive (SMAP) is an Earth-orbiting, remote-sensing NASA mission slated for launch in 2014. The ground data system (GDS) being developed for SMAP is composed of many heterogeneous subsystems, ranging from those that support planning and sequencing to those used for real-time operations, and even further to those that enable science data exchange. A full end-to-end automation of the GDS may result in cost savings during mission operations, but it would require a significant upfront investment to develop such a comprehensive automation. As demonstrated by the Jason-1 and Wide-field Infrared Survey Explorer (WISE) missions, a measure of "lights-out" automation for routine, orbital pass, ground operations can still reduce mission costs through smaller staffing of operators and limiting their working hours. The challenge, then, for the SMAP GDS engineering team, is to formulate an automated operations strategy--and corresponding system architecture -- to minimize operator intervention during routine operations, while balancing the development costs associated with the scope and complexity of automation. This paper discusses the automated operations approach being developed for the SMAP GDS. The focus is on automating the activities involved in routine passes, which limits the scope to real-time operations. A key subsystem of the SMAP GDS -- NASA's AMMOS Mission Data Processing and Control System (AMPCS) -- provides a set of capabilities that enable such automation. Also discussed are the lights-out pass automations of the Jason-1 and WISE missions and how they informed the automation strategy for SMAP. The paper aims to provide insights into what is necessary in automating the GDS operations for Earth satellite missions.

  4. Cost-Effective Telemetry and Command Ground Systems Automation Strategy for the Soil Moisture Active Passive (SMAP) Mission

    NASA Technical Reports Server (NTRS)

    Choi, Joshua S.; Sanders, Antonio L.

    2012-01-01

    Soil Moisture Active Passive (SMAP) is an Earth-orbiting, remote-sensing NASA mission slated for launch in 2014.[double dagger] The ground data system (GDS) being developed for SMAP is composed of many heterogeneous subsystems, ranging from those that support planning and sequencing to those used for real-time operations, and even further to those that enable science data exchange. A full end-to-end automation of the GDS may result in cost savings during mission operations, but it would require a significant upfront investment to develop such comprehensive automation. As demonstrated by the Jason-1 and Wide-field Infrared Survey Explorer (WISE) missions, a measure of "lights-out" automation for routine, orbital pass ground operations can still reduce mission cost through smaller staffing of operators and limited work hours. The challenge, then, for the SMAP GDS engineering team is to formulate an automated operations strategy--and corresponding system architecture--to minimize operator intervention during operations, while balancing the development cost associated with the scope and complexity of automation. This paper discusses the automated operations approach being developed for the SMAP GDS. The focus is on automating the activities involved in routine passes, which limits the scope to real-time operations. A key subsystem of the SMAP GDS--NASA's AMMOS Mission Data Processing and Control System (AMPCS)--provides a set of capabilities that enable such automation. Also discussed are the lights-out pass automations of the Jason-1 and WISE missions and how they informed the automation strategy for SMAP. The paper aims to provide insights into what is necessary in automating the GDS operations for Earth satellite missions.

  5. Cost-Effective Telemetry and Command Ground Systems Automation Strategy for the Soil Moisture Active Passive (SMAP) Mission

    NASA Technical Reports Server (NTRS)

    Choi, Josh; Sanders, Antonio

    2012-01-01

    Soil Moisture Active Passive (SMAP) is an Earth-orbiting, remote-sensing NASA mission slated for launch in 2014. The ground data system (GDS) being developed for SMAP is composed of many heterogeneous subsystems, ranging from those that support planning and sequencing to those used for real-time operations, and even further to those that enable science data exchange. A full end-to-end automation of the GDS may result in cost savings during mission operations, but it would require a significant upfront investment to develop such a comprehensive automation. As demonstrated by the Jason-1 and Wide-field Infrared Survey Explorer (WISE) missions, a measure of "lights-out" automation for routine, orbital pass, ground operations can still reduce mission costs through smaller staffing of operators and limiting their working hours. The challenge, then, for the SMAP GDS engineering team, is to formulate an automated operations strategy--and corresponding system architecture -- to minimize operator intervention during routine operations, while balancing the development costs associated with the scope and complexity of automation. This paper discusses the automated operations approach being developed for the SMAP GDS. The focus is on automating the activities involved in routine passes, which limits the scope to real-time operations. A key subsystem of the SMAP GDS -- NASA's AMMOS Mission Data Processing and Control System (AMPCS) -- provides a set of capabilities that enable such automation. Also discussed are the lights-out pass automations of the Jason-1 and WISE missions and how they informed the automation strategy for SMAP. The paper aims to provide insights into what is necessary in automating the GDS operations for Earth satellite missions.

  6. The Soil Moisture Active Passive (SMAP) applications activity

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) mission is one of the first-tier satellite missions recommended by the U.S. National Research Council Committee on Earth Science and Applications from Space. The SMAP mission 1 is under development by NASA and is scheduled for launch late in 2014. The SMAP mea...

  7. Soil Moisture Active Passive (SMAP) Media Briefing

    NASA Image and Video Library

    2015-01-09

    Christine Bonniksen, SMAP program executive with the Science Mission Directorate’s Earth Science Division, NASA Headquarters, left, Kent Kellogg, SMAP project manager, NASA Jet Propulsion Laboratory (JPL), second from left, Dara Entekhabi, SMAP science team lead, Massachusetts Institute of Technology, second from right, and Brad Doorn, SMAP applications lead, Science Mission Directorate’s Applied Sciences Program, NASA Headquarters, right, are seen during a briefing about the upcoming launch of the Soil Moisture Active Passive (SMAP) mission, Thursday, Jan. 08, 2015, at NASA Headquarters in Washington DC. The mission is scheduled for a Jan. 29 launch from Vandenberg Air Force Base in California, and will provide the most accurate, highest-resolution global measurements of soil moisture ever obtained from space. The data will be used to enhance scientists' understanding of the processes that link Earth's water, energy and carbon cycles. Photo Credit: (NASA/Aubrey Gemignani)

  8. Soil Moisture Active Passive (SMAP) Mission Level 4 Surface and Root Zone Soil Moisture (L4_SM) Product Specification Document

    NASA Technical Reports Server (NTRS)

    Reichle, Rolf H.; Ardizzone, Joseph V.; Kim, Gi-Kong; Lucchesi, Robert A.; Smith, Edmond B.; Weiss, Barry H.

    2015-01-01

    This is the Product Specification Document (PSD) for Level 4 Surface and Root Zone Soil Moisture (L4_SM) data for the Science Data System (SDS) of the Soil Moisture Active Passive (SMAP) project. The L4_SM data product provides estimates of land surface conditions based on the assimilation of SMAP observations into a customized version of the NASA Goddard Earth Observing System, Version 5 (GEOS-5) land data assimilation system (LDAS). This document applies to any standard L4_SM data product generated by the SMAP Project. The Soil Moisture Active Passive (SMAP) mission will enhance the accuracy and the resolution of space-based measurements of terrestrial soil moisture and freeze-thaw state. SMAP data products will have a noteworthy impact on multiple relevant and current Earth Science endeavors. These include: Understanding of the processes that link the terrestrial water, the energy and the carbon cycles, Estimations of global water and energy fluxes over the land surfaces, Quantification of the net carbon flux in boreal landscapes Forecast skill of both weather and climate, Predictions and monitoring of natural disasters including floods, landslides and droughts, and Predictions of agricultural productivity. To provide these data, the SMAP mission will deploy a satellite observatory in a near polar, sun synchronous orbit. The observatory will house an L-band radiometer that operates at 1.40 GHz and an L-band radar that operates at 1.26 GHz. The instruments will share a rotating reflector antenna with a 6 meter aperture that scans over a 1000 km swath.

  9. In Situ Validation of the Soil Moisture Active Passive (SMAP) Satellite Mission

    NASA Technical Reports Server (NTRS)

    Jackson, T.; Cosh, M.; Crow, W.; Colliander, A.; Walker, J.

    2011-01-01

    SMAP is a new NASA mission proposed for 2014 that would provide a number of soil moisture and freeze/thaw products. The soil moisture products span spatial resolutions from 3 to 40 km. In situ soil moisture observations will be one of the key elements of the validation program for SMAP. Data from the currently available set of soil moisture observing sites and networks need improvement if they are to be useful. Problems include a lack of standardization of instrumentation and installation and the disparity in spatial scale between the point-scale in situ data (a few centimeters) and the coarser satellite products. SMAP has initiated activities to resolve these issues for some of the existing resources. The other challenge to soil moisture validation is the need to expand the number of sites and their geographic distribution. SMAP is attempting to increase the number of sites and their value in validation through collaboration. The issues and solutions involving in situ validation being investigated will be described along with recent results from SMAP validation projects.

  10. NASA Soil Moisture Active Passive (SMAP) Applications

    NASA Astrophysics Data System (ADS)

    Orr, Barron; Moran, M. Susan; Escobar, Vanessa; Brown, Molly E.

    2014-05-01

    The launch of the NASA Soil Moisture Active Passive (SMAP) mission in 2014 will provide global soil moisture and freeze-thaw measurements at moderate resolution (9 km) with latency as short as 24 hours. The resolution, latency and global coverage of SMAP products will enable new applications in the fields of weather, climate, drought, flood, agricultural production, human health and national security. To prepare for launch, the SMAP mission has engaged more than 25 Early Adopters. Early Adopters are users who have a need for SMAP-like soil moisture or freeze-thaw data, and who agreed to apply their own resources to demonstrate the utility of SMAP data for their particular system or model. In turn, the SMAP mission agreed to provide Early Adopters with simulated SMAP data products and pre-launch calibration and validation data from SMAP field campaigns, modeling, and synergistic studies. The applied research underway by Early Adopters has provided fundamental knowledge of how SMAP data products can be scaled and integrated into users' policy, business and management activities to improve decision-making efforts. This presentation will cover SMAP applications including weather and climate forecasting, vehicle mobility estimation, quantification of greenhouse gas emissions, management of urban potable water supply, and prediction of crop yield. The presentation will end with a discussion of potential international applications with focus on the ESA/CEOS TIGER Initiative entitled "looking for water in Africa", the United Nations (UN) Convention to Combat Desertification (UNCCD) which carries a specific mandate focused on Africa, the UN Framework Convention on Climate Change (UNFCCC) which lists soil moisture as an Essential Climate Variable (ECV), and the UN Food and Agriculture Organization (FAO) which reported a food and nutrition crisis in the Sahel.

  11. Pre-Launch Phase 1 Calibration and Validation Rehearsal of Geophysical Data Products of Soil Moisture Active Passive (SMAP) Mission

    NASA Astrophysics Data System (ADS)

    Colliander, A.; Jackson, T. J.; Chan, S.; Dunbar, R.; Das, N. N.; Kim, S.; Reichle, R. H.; De Lannoy, G. J.; Liu, Q.; Kimball, J. S.; Yi, Y.; Cosh, M. H.; Bindlish, R.; Crow, W. T.; Dang, L.; Yueh, S. H.; Njoku, E. G.

    2013-12-01

    NASA's Soil Moisture Active Passive (SMAP) Mission is scheduled for launch in October 2014. The objective of the mission is global mapping of soil moisture and freeze/thaw state. SMAP utilizes an L-band radar and radiometer sharing a rotating 6-meter mesh reflector antenna. The instruments will operate onboard the SMAP spacecraft in a 685-km Sun-synchronous near-polar orbit, viewing the surface at a constant 40-degree incidence angle with a 1000-km swath width. Merging of active and passive L-band observations of the mission will enable an unprecedented combination of accuracy, resolution, coverage and revisit-time for soil moisture and freeze/thaw state retrieval. SMAP measurements will enable significantly improved estimates of water, energy and carbon transfers between the land and atmosphere. The SMAP science data product suite of geophysical parameters will include estimates of surface (top 5 cm) and root-zone (down to 1-m depth) soil moisture, net ecosystem exchange, and classification of the frozen/non-frozen state of the landscape. The primary validation reference of the data products will be ground-based measurements. Other remote sensing and model-based products will be used as additional resources. The post-launch timeline of the mission requires that the geophysical data products are validated (with respect to the mission requirements) within 12 months after a 3-month in-orbit check-out phase. SMAP is taking several preparatory steps in order to meet this schedule. One of the main steps consists of running a rehearsal to exercise calibration and validation procedures planned for the Cal/Val Phase. The rehearsal is divided into two stages. Phase 1, which was conducted in June-August 2013, focused on validation methodologies for the geophysical data products. Phase 2, which will be conducted in May-June 2014, includes operational aspects including a fully functioning SMAP Science Data System. (Note that the rehearsals do not include an airborne field

  12. Soil Moisture Active Passive (SMAP) Media Briefing

    NASA Image and Video Library

    2015-01-09

    Brad Doorn, SMAP applications lead, Science Mission Directorate’s Applied Sciences Program at NASA Headquarters speaks during a briefing about the upcoming launch of the Soil Moisture Active Passive (SMAP) mission, Thursday, Jan. 08, 2015, at NASA Headquarters in Washington DC. The mission is scheduled for a Jan. 29 launch from Vandenberg Air Force Base in California, and will provide the most accurate, highest-resolution global measurements of soil moisture ever obtained from space. The data will be used to enhance scientists' understanding of the processes that link Earth's water, energy and carbon cycles. Photo Credit: (NASA/Aubrey Gemignani)

  13. Soil Moisture Active Passive (SMAP) Media Briefing

    NASA Image and Video Library

    2015-01-09

    Christine Bonniksen, SMAP program executive with the Science Mission Directorate’s Earth Science Division at NASA Headquarters speaks during a briefing about the upcoming launch of the Soil Moisture Active Passive (SMAP) mission, Thursday, Jan. 08, 2015, at NASA Headquarters in Washington DC. The mission is scheduled for a Jan. 29 launch from Vandenberg Air Force Base in California, and will provide the most accurate, highest-resolution global measurements of soil moisture ever obtained from space. The data will be used to enhance scientists' understanding of the processes that link Earth's water, energy and carbon cycles. Photo Credit: (NASA/Aubrey Gemignani)

  14. Soil Moisture Active Passive (SMAP) Media Briefing

    NASA Image and Video Library

    2015-01-09

    Dara Entekhabi, SMAP science team lead, Massachusetts Institute of Technology, center, speaks during a briefing about the upcoming launch of the Soil Moisture Active Passive (SMAP) mission, Thursday, Jan. 08, 2015, at NASA Headquarters in Washington DC. The mission is scheduled for a Jan. 29 launch from Vandenberg Air Force Base in California, and will provide the most accurate, highest-resolution global measurements of soil moisture ever obtained from space. The data will be used to enhance scientists' understanding of the processes that link Earth's water, energy and carbon cycles. Photo Credit: (NASA/Aubrey Gemignani)

  15. Soil Moisture Active Passive (SMAP) Media Briefing

    NASA Image and Video Library

    2015-01-09

    Kent Kellogg, SMAP project manager at NASA’s Jet Propulsion Laboratory (JPL) in Pasadena, CA, speaks during a briefing about the upcoming launch of the Soil Moisture Active Passive (SMAP) mission, Thursday, Jan. 08, 2015, at NASA Headquarters in Washington DC. The mission is scheduled for a Jan. 29 launch from Vandenberg Air Force Base in California, and will provide the most accurate, highest-resolution global measurements of soil moisture ever obtained from space. The data will be used to enhance scientists' understanding of the processes that link Earth's water, energy and carbon cycles. Photo Credit: (NASA/Aubrey Gemignani)

  16. Soil Moisture Active Passive (SMAP) Media Briefing

    NASA Image and Video Library

    2015-01-09

    Dara Entekhabi, SMAP science team lead, Massachusetts Institute of Technology, speaks during a briefing about the upcoming launch of the Soil Moisture Active Passive (SMAP) mission, Thursday, Jan. 08, 2015, at NASA Headquarters in Washington DC. The mission is scheduled for a Jan. 29 launch from Vandenberg Air Force Base in California, and will provide the most accurate, highest-resolution global measurements of soil moisture ever obtained from space. The data will be used to enhance scientists' understanding of the processes that link Earth's water, energy and carbon cycles. Photo Credit: (NASA/Aubrey Gemignani)

  17. Assessment of the SMAP level 2 passive soil moisture product

    USDA-ARS?s Scientific Manuscript database

    The NASA Soil Moisture Active Passive (SMAP) satellite mission was launched on Jan 31, 2015. The observatory was developed to provide global mapping of high-resolution soil moisture and freeze-thaw state every 2–3 days using an L-band (active) radar and an L-band (passive) radiometer. SMAP provides ...

  18. The NASA Soil Moisture Active Passive (SMAP) Mission - Algorithm and Cal/Val Activities and Synergies with SMOS and Other L-Band Missions

    NASA Technical Reports Server (NTRS)

    Njoku, Eni; Entekhabi, Dara; O'Neill, Peggy; Jackson, Tom; Kellogg, Kent; Entin, Jared

    2011-01-01

    NASA's Soil Moisture Active Passive (SMAP) mission, planned for launch in late 2014, has as its key measurement objective the frequent, global mapping of near-surface soil moisture and its freeze-thaw state. SMAP soil moisture and freeze/thaw measurements at 10 km and 3 km resolutions respectively, would enable significantly improved estimates of water, energy and carbon transfers between the land and atmosphere. Soil moisture control of these fluxes is a key factor in the performance of atmospheric models used for weather forecasts and climate projections Soil moisture measurements are also of great importance in assessing floods and for monitoring drought. In addition, observations of soil moisture and freeze/thaw timing over the boreal latitudes can help reduce uncertainties in quantifying the global carbon balance. The SMAP measurement concept utilizes an L-band radar and radiometer sharing a rotating 6-meter mesh reflector antenna. The SMAP radiometer and radar flight hardware and ground processing designs are incorporating approaches to identify and mitigate potential terrestrial radio frequency interference (RFI). The radar and radiometer instruments are planned to operate in a 680 km polar orbit, viewing the surface at a constant 40-degree incidence angle with a 1000-km swath width, providing 3-day global coverage. Data from the instruments would yield global maps of soil moisture and freeze/thaw state to be provided at 10 km and 3 km resolutions respectively, every two to three days. Plans are to provide also a radiometer-only soil moisture product at 40-km spatial resolution. This product and the underlying brightness temperatures have characteristics similar to those provided by the Soil Moisture and Ocean Salinity (SMOS) mission. As a result, there are unique opportunities for common data product development and continuity between the two missions. SMAP also has commonalities with other satellite missions having L-band radiometer and/or radar sensors

  19. Development of SMAP Mission Cal/Val Activities

    NASA Technical Reports Server (NTRS)

    Colliander, A.; Jackson, T.; Kimball, J.; Cosh, M.; Spencer, M.; Entekhabi, D.; Njoku, E.; ONeill, P.

    2010-01-01

    The Soil Moisture Active Passive (SMAP) mission is a NASA directed mission to map global land surface soil moisture and freeze-thaw state. Instrument and mission details are shown. The key SMAP soil moisture product is provided at 10 km resolution with 0.04cubic cm/cubic cm accuracy. The freeze/thaw product is provided at 3 km resolution and 80% frozen-thawed classification accuracy. The full list of SMAP data products is shown.

  20. The soil moisture active/passive (SMAP) mission: How we got here and what it will provide

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) satellite will be launched by the National Aeronautics and Space Administration in October 2014. This satellite is the culmination of basic research and applications development over the past thirty years. During most of this period, research and development o...

  1. A data-driven and physics-based single-pass retrieval of active-passive microwave covariation and vegetation parameters for the SMAP mission

    NASA Astrophysics Data System (ADS)

    Entekhabi, D.; Jagdhuber, T.; Das, N. N.; Baur, M.; Link, M.; Piles, M.; Akbar, R.; Konings, A. G.; Mccoll, K. A.; Alemohammad, S. H.; Montzka, C.; Kunstmann, H.

    2016-12-01

    The active-passive soil moisture retrieval algorithm of NASA's SMAP mission depends on robust statistical estimation of active-passive covariation (β) and vegetation structure (Γ) parameters in order to provide reliable global measurements of soil moisture on an intermediate level (9km) compared to the native resolution of the radiometer (36km) and radar (3km) instruments. These parameters apply to the SMAP radiometer-radar combination over the period of record that was cut short with the end of the SMAP radar transmission. They also apply to the current SMAP radiometer and Sentinel 1A/B radar combination for high-resolution surface soil moisture mapping. However, the performance of the statistically-based approach is directly dependent on the selection of a representative time frame in which these parameters can be estimated assuming dynamic soil moisture and stationary soil roughness and vegetation cover. Here, we propose a novel, data-driven and physics-based single-pass retrieval of active-passive microwave covariation and vegetation parameters for the SMAP mission. The algorithm does not depend on time series analyses and can be applied using minimum one pair of an active-passive acquisition. The algorithm stems from the physical link between microwave emission and scattering via conservation of energy. The formulation of the emission radiative transfer is combined with the Distorted Born Approximation of radar scattering for vegetated land surfaces. The two formulations are simultaneously solved for the covariation and vegetation structure parameters. Preliminary results from SMAP active-passive observations (April 13th to July 7th 2015) compare well with the time-series statistical approach and confirms the capability of this method to estimate these parameters. Moreover, the method is not restricted to a given frequency (applies to both L-band and C-band combinations for the radar) or incidence angle (all angles and not just the fixed 40° incidence

  2. Assessment of Soil Moisture Data Requirements by the Potential SMAP Data User Community: Review of SMAP Mission User Community

    NASA Technical Reports Server (NTRS)

    Brown, Molly E.; Escobar, Vanessa M.

    2013-01-01

    NASA's Soil Moisture Active and Passive (SMAP) mission is planned for launch in October 2014 and will provide global measurements of soil moisture and freeze thaw state. The project is driven by both basic research and applied science goals. Understanding how application driven end-users will apply SMAP data, prior to the satellite's launch, is an important goal of NASA's applied science program and SMAP mission success. Because SMAP data are unique, there are no direct proxy data sets that can be used in research and operational studies to determine how the data will interact with existing processes. The objective of this study is to solicit data requirements, accuracy needs, and current understanding of the SMAP mission from the potential user community. This study showed that the data to be provided by the SMAP mission did substantially meet the user community needs. Although there was a broad distribution of requirements stated, the SMAP mission fit within these requirements.

  3. NASA's Soil Moisture Active Passive (SMAP) observatory

    NASA Astrophysics Data System (ADS)

    Kellogg, K.; Thurman, S.; Edelstein, W.; Spencer, M.; Chen, Gun-Shing; Underwood, M.; Njoku, E.; Goodman, S.; Jai, Benhan

    The Soil Moisture Active Passive (SMAP) mission, one of the first-tier missions recommended by the 2007 U.S. National Research Council Committee on Earth Science and Applications from Space, was confirmed in May 2012 by NASA to proceed into Implementation Phase (Phase C) with a planned launch in October 2014. SMAP will produce high-resolution and accurate global maps of soil moisture and its freeze/thaw state using data from a non-imaging synthetic aperture radar and a radiometer, both operating at L-band. Major challenges addressed by the observatory design include: (1) achieving global coverage every 2-3 days with a single observatory; (2) producing both high resolution and high accuracy soil moisture data, including through moderate vegetation; (3) using a mesh reflector antenna for L-band radiometry; (4) minimizing science data loss from terrestrial L-band radio frequency interference; (5) designing fault protection that also minimizes science data loss; (6) adapting planetary heritage avionics to meet SMAP's unique application and data volume needs; (7) ensuring observatory electromagnetic compatibility to avoid degrading science; (8) controlling a large spinning instrument with a small spacecraft; and (9) accommodating launch vehicle selection late in the observatory's development lifecycle.

  4. Active–passive soil moisture retrievals during the SMAP validation experiment 2012

    USDA-ARS?s Scientific Manuscript database

    The goal of this study is to assess the performance of the active–passive algorithm for the NASA Soil Moisture Active Passive mission (SMAP) using airborne and ground observations from a field campaign. The SMAP active–passive algorithm disaggregates the coarse-resolution radiometer brightness tempe...

  5. The NASA Soil Moisture Active Passive (SMAP) Mission Level 4 Carbon Product calibration and validation using eddy covariance observations across North America, Australia and Finland

    NASA Astrophysics Data System (ADS)

    Stavros, E. N.; Kimball, J. S.; Jones, L. A.; Colliander, A.; Glassy, J. M.; Reichle, R. H.; Schimel, D.; Baldocchi, D. D.; Beringer, J.; Cleverly, J. R.; Desai, A. R.; Euskirchen, E. S.; Hutley, L. B.; Isaac, P. R.; Law, B. E.; Macfarlane, C.; Oechel, W. C.; Prober, S. M.; Jouni, P.; Scott, R. L.; Wheater, H. S.; Zona, D.

    2015-12-01

    The NASA SMAP (Soil Moisture Active Passive) mission was successfully launched January 31st 2015, inaugurating global operational low frequency (L-band) microwave observations of land surface soil moisture and freeze-thaw dynamics with 3-day mean temporal fidelity. The novelty of SMAP is in the high quality of the geophysical observations, global monitoring of dynamic landscape freeze-thaw (FT) and soil moisture (SM) conditions, and the model-enhanced estimation of root zone soil moisture (0-100 cm) and terrestrial carbon fluxes (constrained by environmental controls). The SMAP Level 4 Carbon Product (L4_C) uses lower-level geophysical data to constrain estimates of terrestrial net CO2 exchange and addresses a key science objective of the SMAP mission, which is to understand processes that link the terrestrial water, energy and carbon cycles, particularly in boreal landscapes. Here we present the L4_C calibration and validation infrastructure, which uses eddy covariance tower flux observations. A metric of L4_C product success is to estimate NEE in northern (≥45°N) boreal and arctic biomes to within 30 gCm-2yr-1 or ~1.6 gCm-2 d-1 RMSE, similar to the level of uncertainty for tower observations. We present initial L4_C product comparisons against independent observations from a global network of 33 in situ tower sites, 8 of which are considered primary sites in the high latitudes (≥45°N). Although only primary sites are used to determine product success, all sites are integrated into diagnostic plots to evaluate land cover heterogeneity between local tower footprints and overlying L4_C grid cells, algorithm handling and data quality, thus providing a framework for evaluating environmental constraints on ecosystem productivity and respiration. In addition to mission success, we examine the added value of including FT and SM to constrain terrestrial carbon flux estimates.

  6. NASA's Soil Moisture Active Passive (SMAP) Observatory

    NASA Technical Reports Server (NTRS)

    Kellogg, Kent; Thurman, Sam; Edelstein, Wendy; Spencer, Michael; Chen, Gun-Shing; Underwood, Mark; Njoku, Eni; Goodman, Shawn; Jai, Benhan

    2013-01-01

    The SMAP mission will produce high-resolution and accurate global maps of soil moisture and its freeze/thaw state using data from a non-imaging synthetic aperture radar and a radiometer, both operating at L-band.

  7. NASA's Soil Moisture Active Passive (SMAP) Observatory

    NASA Technical Reports Server (NTRS)

    Kellogg, Kent; Thurman, Sam; Edelstein, Wendy; Spencer, Michael; Chen, Gun-Shing; Underwood, Mark; Njoku, Eni; Goodman, Shawn; Jai, Benhan

    2013-01-01

    The SMAP mission will produce high-resolution and accurate global maps of soil moisture and its freeze/thaw state using data from a non-imaging synthetic aperture radar and a radiometer, both operating at L-band.

  8. The Soil Moisture Active Passive (SMAP) Applications Activity

    NASA Technical Reports Server (NTRS)

    Brown, Molly E.; Moran, Susan; Escobar, Vanessa; Entekhabi, Dara; O'Neill, Peggy; Njoku, Eni

    2011-01-01

    The Soil Moisture Active Passive (SMAP) mission is one of the first-tier satellite missions recommended by the U.S. National Research Council Committee on Earth Science and Applications from Space. The SMAP mission 1 is under development by NASA and is scheduled for launch late in 2014. The SMAP measurements will allow global and high-resolution mapping of soil moisture and its freeze/thaw state at resolutions from 3-40 km. These measurements will have high value for a wide range of environmental applications that underpin many weather-related decisions including drought and flood guidance, agricultural productivity estimation, weather forecasting, climate predictions, and human health risk. In 2007, NASA was tasked by The National Academies to ensure that emerging scientific knowledge is actively applied to obtain societal benefits by broadening community participation and improving means for use of information. SMAP is one of the first missions to come out of this new charge, and its Applications Plan forms the basis for ensuring its commitment to its users. The purpose of this paper is to outline the methods and approaches of the SMAP applications activity, which is designed to increase and sustain the interaction between users and scientists involved in mission development.

  9. A Pre-launch Analysis of NASA's SMAP Mission Data

    NASA Astrophysics Data System (ADS)

    Escobar, V. M.; Brown, M. E.

    2012-12-01

    Product applications have become an integral part of converting the data collected into actionable knowledge that can be used to inform policy. Successfully bridging scientific research with operational decision making in different application areas requires looking into thematic user requirements and data requirements. NASA's Soil Moisture Active/Passive mission (SMAP) has an applications program that actively seeks to integrate the data prior to launch into a broad range of environmental monitoring and decision making systems from drought and flood guidance to disease risk assessment and national security SMAP is a a combined active/passive microwave instrument, which will be launched into a near-polar orbit in late 2014. It aims to produce a series of soil moisture products and soil freeze/thaw products with an accuracy of +/- 10%, a nominal resolution of between 3 and 40km, and latency between 12 hours and 7 days. These measurements will be used to enhance the understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. The driving success of the SMAP applications program is joining mission scientists to thematic end users and leveraging the knowledge base of soil moisture data applications, increase the speed SMAP data product ingestion into critical processes and research, improving societal benefits to science. Because SMAP has not yet launched, the mission is using test algorithms to determine how the data will interact with existing processes. The objective of this profession review is to solicit data requirements, accuracy needs and current understanding of the SMAP mission from the user community and then feed that back into mission product development. Thus, understanding how users will apply SMAP data, prior to the satellite's launch, is an important component of SMAP Applied Sciences and one of NASA's measures for mission success. This paper presents an analysis of

  10. Spacecraft Environmental Testing SMAP (Soil, Moisture, Active, Passive)

    NASA Technical Reports Server (NTRS)

    Fields, Keith

    2014-01-01

    Testing a complete full up spacecraft to verify it will survive the environment, in which it will be exposed to during its mission, is a formidable task in itself. However, the ''test like you fly'' philosophy sometimes gets compromised because of cost, design and or time. This paper describes the thermal-vacuum and mass properties testing of the Soil Moisture Active Passive (SMAP) earth orbiting satellite. SMAP will provide global observations of soil moisture and freeze/thaw state (the hydrosphere state). SMAP hydrosphere state measurements will be used to enhance understanding of processes that link the water, energy, and carbon cycles, and to extend the capabilities of weather and climate prediction models. It will explain the problems encountered, and the solutions developed, which minimized the risk typically associated with such an arduous process. Also discussed, the future of testing on expensive long lead-time spacecraft. Will we ever reach the ''build and shoot" scenario with minimal or no verification testing?

  11. Spacecraft Environmental Testing SMAP (Soil, Moisture, Active, Passive)

    NASA Technical Reports Server (NTRS)

    Fields, Keith

    2014-01-01

    Testing a complete full up spacecraft to verify it will survive the environment, in which it will be exposed to during its mission, is a formidable task in itself. However, the ''test like you fly'' philosophy sometimes gets compromised because of cost, design and or time. This paper describes the thermal-vacuum and mass properties testing of the Soil Moisture Active Passive (SMAP) earth orbiting satellite. SMAP will provide global observations of soil moisture and freeze/thaw state (the hydrosphere state). SMAP hydrosphere state measurements will be used to enhance understanding of processes that link the water, energy, and carbon cycles, and to extend the capabilities of weather and climate prediction models. It will explain the problems encountered, and the solutions developed, which minimized the risk typically associated with such an arduous process. Also discussed, the future of testing on expensive long lead-time spacecraft. Will we ever reach the ''build and shoot" scenario with minimal or no verification testing?

  12. SMAP Mission Applications; Post Launch Research and the Early Adopter Program Socioeconomic Impact Analyses

    NASA Astrophysics Data System (ADS)

    Escobar, V. M.

    2015-12-01

    NASA's Soil Moisture Active Passive (SMAP) Mission, launched January 31, 2015, has grown an Early Adopter (EA) community since 2010. Over the next two years, the mission Applications Team will conduct socioeconomic impact analyses on thematic EA research in an effort to demonstrate the value of SMAP products in societally relevant, decision support applications. The SMAP mission provides global observations of the Earth's surface soil moisture, providing high accuracy, resolution and continuous global coverage. The SMAP Applications Team will document and evaluate the use of SMAP science products in applications related to weather forecasting, drought, agriculture productivity, floods, human health and national security. SMAP EA research in applied science cases such as sea ice and sea surface winds will also be evaluated. SMAP EAs provide a thematically scaled perspective on the use and impact of SMAP data. This analysis will demonstrate how the investments in pre-launch applications and early adopter efforts contributed to the mission value, product impact and fueled new research that contributes to the use of mission products, thereby enhancing mission success. This paper presents a set of Early Adopter case studies that show how EAs plan to use SMAP science products to enhance decision support systems, and about how the SMAP data stream affects these users. Detailed tracking of this comprehensive set of case studies will enable quantification and monetization of the benefits of an application by the end of the first two years after launch.

  13. Overview of the SMAP Applications and the SMAP Early Adopters Program - NASA's First Mission-Directed Outreach Effort

    NASA Technical Reports Server (NTRS)

    Escobar, V. M.; Delgado Arias, S.; Nearing, G.; Entekhabi, D.; Njoku, E.; Yueh, S.; Doorn, B.; Reichle, R.

    2016-01-01

    Satellite data provide global observations of many of the earths system processes and features. These data are valuable for developing scientific products that increase our understanding of how the earths systems are integrated. The water, energy and carbon cycle exchanges between the land and atmosphere are linked by soil moisture. NASAs Soil Moisture Active Passive (SMAP) mission provides soil moisture and freeze thaw measurements from space and allows scientists to link the water energy and carbon cycles. In order for SMAP data to be best integrated into decision support systems, the mission has engaged with the stakeholder community since 2009 and has attempted to scale the utility of the data to the thematic societal impacts of the satellite product applications. The SMAP Mission, which launched on January 31, 2015, has actively grown an Early Adopter (EA) community as part of its applications effort and worked with these EAs to demonstrate a scaled thematic impact of SMAP data product in societally relevant decision support applications. The SMAP mission provides global observations of the Earths surface soil moisture, providing high accuracy, resolution and continuous global coverage. Through the Early Adopters Program, the SMAP Applications Team will spend the next 2 years after launch documenting and evaluating the use of SMAP science products in applications related to weather forecasting, drought, agriculture productivity, floods, human health and national security.

  14. Early results of the soil moisture active passive Marena Oklahoma in situ sensor testbed (SMAP-MOISST)

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive Mission (SMAP) is an upcoming NASA mission to monitor surface soil mositure. Key to the success of this mission is the calibration and validation of the resulting product. As part of the calibration and validation program for SMAP, an ambitious intercomparison stud...

  15. Assessment of the SMAP Passive Soil Moisture Product

    NASA Technical Reports Server (NTRS)

    Chan, Steven K.; Bindlish, Rajat; O'Neill, Peggy E.; Njoku, Eni; Jackson, Tom; Colliander, Andreas; Chen, Fan; Burgin, Mariko; Dunbar, Scott; Piepmeier, Jeffrey; hide

    2016-01-01

    The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite mission was launched on January 31, 2015. The observatory was developed to provide global mapping of high-resolution soil moisture and freeze-thaw state every two to three days using an L-band (active) radar and an L-band (passive) radiometer. After an irrecoverable hardware failure of the radar on July 7, 2015, the radiometer-only soil moisture product became the only operational Level 2 soil moisture product for SMAP. The product provides soil moisture estimates posted on a 36 kilometer Earth-fixed grid produced using brightness temperature observations from descending passes. Within months after the commissioning of the SMAP radiometer, the product was assessed to have attained preliminary (beta) science quality, and data were released to the public for evaluation in September 2015. The product is available from the NASA Distributed Active Archive Center at the National Snow and Ice Data Center. This paper provides a summary of the Level 2 Passive Soil Moisture Product (L2_SM_P) and its validation against in situ ground measurements collected from different data sources. Initial in situ comparisons conducted between March 31, 2015 and October 26, 2015, at a limited number of core validation sites (CVSs) and several hundred sparse network points, indicate that the V-pol Single Channel Algorithm (SCA-V) currently delivers the best performance among algorithms considered for L2_SM_P, based on several metrics. The accuracy of the soil moisture retrievals averaged over the CVSs was 0.038 cubic meter per cubic meter unbiased root-mean-square difference (ubRMSD), which approaches the SMAP mission requirement of 0.040 cubic meter per cubic meter.

  16. Assessment of the SMAP Passive Soil Moisture Product

    NASA Technical Reports Server (NTRS)

    Chan, Steven K.; Bindlish, Rajat; O'Neill, Peggy E.; Njoku, Eni; Jackson, Tom; Colliander, Andreas; Chen, Fan; Burgin, Mariko; Dunbar, Scott; Piepmeier, Jeffrey; Yueh, Simon; Entekhabi, Dara; Cosh, Michael H.; Caldwell, Todd; Walker, Jeffrey; Wu, Xiaoling; Berg, Aaron; Rowlandson, Tracy; Pacheco, Anna; McNairn, Heather; Thibeault, Marc; Martinez-Fernandez, Jose; Gonzalez-Zamora, Angel; Seyfried, Mark; Bosch, David; Starks, Patrick; Goodrich, David; Prueger, John; Palecki, Michael; Small, Eric E.; Zreda, Marek; Calvet, Jean-Christophe; Crow, Wade T.; Kerr, Yann

    2016-01-01

    The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite mission was launched on January 31, 2015. The observatory was developed to provide global mapping of high-resolution soil moisture and freeze-thaw state every two to three days using an L-band (active) radar and an L-band (passive) radiometer. After an irrecoverable hardware failure of the radar on July 7, 2015, the radiometer-only soil moisture product became the only operational Level 2 soil moisture product for SMAP. The product provides soil moisture estimates posted on a 36 kilometer Earth-fixed grid produced using brightness temperature observations from descending passes. Within months after the commissioning of the SMAP radiometer, the product was assessed to have attained preliminary (beta) science quality, and data were released to the public for evaluation in September 2015. The product is available from the NASA Distributed Active Archive Center at the National Snow and Ice Data Center. This paper provides a summary of the Level 2 Passive Soil Moisture Product (L2_SM_P) and its validation against in situ ground measurements collected from different data sources. Initial in situ comparisons conducted between March 31, 2015 and October 26, 2015, at a limited number of core validation sites (CVSs) and several hundred sparse network points, indicate that the V-pol Single Channel Algorithm (SCA-V) currently delivers the best performance among algorithms considered for L2_SM_P, based on several metrics. The accuracy of the soil moisture retrievals averaged over the CVSs was 0.038 cubic meter per cubic meter unbiased root-mean-square difference (ubRMSD), which approaches the SMAP mission requirement of 0.040 cubic meter per cubic meter.

  17. Pre-Launch phase 2 rehearsal of the calibration and validation of soil moisture active passive (SMAP) geophysical data products

    USDA-ARS?s Scientific Manuscript database

    NASA’s Soil Moisture Active Passive (SMAP) Mission is scheduled for launch in early November 2014. The objective of the mission is global mapping of soil moisture and landscape freeze/thaw state. SMAP utilizes L-band radar and radiometer measurements sharing a rotating 6-meter mesh reflector antenna...

  18. Drought monitoring with soil moisture active passive (SMAP) measurements

    NASA Astrophysics Data System (ADS)

    Mishra, Ashok; Vu, Tue; Veettil, Anoop Valiya; Entekhabi, Dara

    2017-09-01

    Recent launch of space-borne systems to estimate surface soil moisture may expand the capability to map soil moisture deficit and drought with global coverage. In this study, we use Soil Moisture Active Passive (SMAP) soil moisture geophysical retrieval products from passive L-band radiometer to evaluate its applicability to forming agricultural drought indices. Agricultural drought is quantified using the Soil Water Deficit Index (SWDI) based on SMAP and soil properties (field capacity and available water content) information. The soil properties are computed using pedo-transfer function with soil characteristics derived from Harmonized World Soil Database. The SMAP soil moisture product needs to be rescaled to be compatible with the soil parameters derived from the in situ stations. In most locations, the rescaled SMAP information captured the dynamics of in situ soil moisture well and shows the expected lag between accumulations of precipitation and delayed increased in surface soil moisture. However, the SMAP soil moisture itself does not reveal the drought information. Therefore, the SMAP based SWDI (SMAP_SWDI) was computed to improve agriculture drought monitoring by using the latest soil moisture retrieval satellite technology. The formulation of SWDI does not depend on longer data and it will overcome the limited (short) length of SMAP data for agricultural drought studies. The SMAP_SWDI is further compared with in situ Atmospheric Water Deficit (AWD) Index. The comparison shows close agreement between SMAP_SWDI and AWD in drought monitoring over Contiguous United States (CONUS), especially in terms of drought characteristics. The SMAP_SWDI was used to construct drought maps for CONUS and compared with well-known drought indices, such as, AWD, Palmer Z-Index, sc-PDSI and SPEI. Overall the SMAP_SWDI is an effective agricultural drought indicator and it provides continuity and introduces new spatial mapping capability for drought monitoring. As an

  19. Comparison of airborne passive and active L-band System (PALS) brightness temperature measurements to SMOS observations during the SMAP validation experiment 2012 (SMAPVEX12)

    USDA-ARS?s Scientific Manuscript database

    The purpose of SMAP (Soil Moisture Active Passive) Validation Experiment 2012 (SMAPVEX12) campaign was to collect data for the pre-launch development and validation of SMAP soil moisture algorithms. SMAP is a National Aeronautics and Space Administration’s (NASA) satellite mission designed for the m...

  20. The Soil Moisture Active Passive Mission (SMAP) Science Data Products: Results of Testing with Field Experiment and Algorithm Testbed Simulation Environment Data

    NASA Technical Reports Server (NTRS)

    Entekhabi, Dara; Njoku, Eni E.; O'Neill, Peggy E.; Kellogg, Kent H.; Entin, Jared K.

    2010-01-01

    Talk outline 1. Derivation of SMAP basic and applied science requirements from the NRC Earth Science Decadal Survey applications 2. Data products and latencies 3. Algorithm highlights 4. SMAP Algorithm Testbed 5. SMAP Working Groups and community engagement

  1. Soil Moisture Active Passive (SMAP) Data and Services at the NASA NSIDC DAAC

    NASA Astrophysics Data System (ADS)

    Leon, Amanda; Jodha Singh Khalsa, Siri; Leslie, Shannon

    2016-04-01

    The NASA Soil Moisture Active Passive (SMAP) mission, launched on 31 January 2015, provides a capability for global mapping of soil moisture and freeze/thaw state with unprecedented accuracy, resolution, and coverage. The SMAP instrument includes both a radiometer and a synthetic aperture radar (SAR) operating at the L-band (1.20-1.41 GHz) and provides global coverage at the equator every 3 days. The SMAP mission will play a critical role in understanding the Earth's water and energy cycles, improving weather and climate forecasting, and developing disaster prediction and monitoring services. The NASA Distributed Active Archive Centers (DAACs) at the National Snow and Ice Data Center (NSIDC) and the Alaska Satellite Facility (ASF) are jointly distributing and supporting SMAP data products. The DAACs draw upon their unique expertise - NSIDC with cryospheric and remotely-sensed soil moisture data and ASF with SAR data - as well as their shared technologies to provide synergistic data access and support for SMAP products. NSIDC DAAC provides distribution and support of the SMAP Level-1 radiometer products, the Level-2 through Level-4 soil moisture products, the Level-3 freeze/thaw product, and the Level-4 carbon net ecosystem exchange product. By leveraging NASA Earth Science Data and Information System (ESDIS) data systems, NSIDC DAAC provide data discovery, access, and visualization services for SMAP that are common across all NASA Earth science data archived at the DAACs. NSIDC DAAC also provides custom services aimed at meeting the unique needs of their SMAP user communities. This presentation strives to educate and expand the SMAP user community as well as engage with current and potential users for areas of opportunity in the support and services that NSIDC DAAC provides.

  2. Soil Moisture Active Passive (SMAP) Data and Services at the NASA NSIDC DAAC

    NASA Astrophysics Data System (ADS)

    Leon, A.; Booker, L.; Leslie, S. R.; Khalsa, S. J. S.; LeFevre, K.

    2015-12-01

    The NASA Soil Moisture Active Passive (SMAP) mission, launched on 31 January 2015, provides a capability for global mapping of soil moisture and freeze/thaw state with unprecedented accuracy, resolution, and coverage. The SMAP instrument includes both a radiometer and a synthetic aperture radar (SAR) operating at the L-band (1.20-1.41 GHz) and provides global coverage at the equator every 3 days. The SMAP mission will play a critical role in understanding the Earth's water and energy cycles, improving weather and climate forecasting, and developing disaster prediction and monitoring services. The NASA Distributed Active Archive Centers (DAACs) at the National Snow and Ice Data Center (NSIDC) and the Alaska Satellite Facility (ASF) are jointly distributing and supporting SMAP data products. The DAACs draw upon their unique expertise - NSIDC with cryospheric and remotely-sensed soil moisture data and ASF with SAR data - as well as their shared technologies to provide synergistic data access and support for SMAP products. NSIDC DAAC provides distribution and support of the SMAP Level-1 radiometer products, the Level-2 through Level-4 soil moisture products, the Level-3 freeze/thaw product, and the Level-4 carbon net ecosystem exchange product. By leveraging NASA Earth Science Data and Information System (ESDIS) data systems, NSIDC DAAC provide data discovery, access, and visualization services for SMAP that are common across all NASA Earth science data archived at the DAACs. NSIDC DAAC also provides custom services aimed at meeting the unique needs of their SMAP user communities. This presentation strives to educate and expand the SMAP user community as well as engage with current and potential users for areas of opportunity in the support and services that NSIDC DAAC provides.

  3. Multi-Scale Soil Moisture Monitoring and Modeling at ARS Watersheds for NASA's Soil Moisture Active Passive (SMAP) Calibration/Validation Mission

    NASA Astrophysics Data System (ADS)

    Coopersmith, E. J.; Cosh, M. H.

    2014-12-01

    NASA's SMAP satellite, launched in November of 2014, produces estimates of average volumetric soil moisture at 3, 9, and 36-kilometer scales. The calibration and validation process of these estimates requires the generation of an identically-scaled soil moisture product from existing in-situ networks. This can be achieved via the integration of NLDAS precipitation data to perform calibration of models at each ­in-situ gauge. In turn, these models and the gauges' volumetric estimations are used to generate soil moisture estimates at a 500m scale throughout a given test watershed by leveraging, at each location, the gauge-calibrated models deemed most appropriate in terms of proximity, calibration efficacy, soil-textural similarity, and topography. Four ARS watersheds, located in Iowa, Oklahoma, Georgia, and Arizona are employed to demonstrate the utility of this approach. The South Fork watershed in Iowa represents the simplest case - the soil textures and topography are relative constants and the variability of soil moisture is simply tied to the spatial variability of precipitation. The Little Washita watershed in Oklahoma adds soil textural variability (but remains topographically simple), while the Little River watershed in Georgia incorporates topographic classification. Finally, the Walnut Gulch watershed in Arizona adds a dense precipitation network to be employed for even finer-scale modeling estimates. Results suggest RMSE values at or below the 4% volumetric standard adopted for the SMAP mission are attainable over the desired spatial scales via this integration of modeling efforts and existing in-situ networks.

  4. An Overview of Production and Validation of the SMAP Passive Soil Moisture Product

    NASA Technical Reports Server (NTRS)

    Chan, S.; O'Neill, P.; Njoku, E.; Jackson, T.; Bindlish, R.

    2015-01-01

    The Soil Moisture Active Passive (SMAP) mission is an L-band mission scheduled for launch in Jan. 2015. The SMAP instruments consist of a radar and a radiometer to obtain complementary information from space for soil moisture and freeze/thaw state research and applications. By utilizing novel designs in antenna construction, retrieval algorithms, and acquisition hardware, SMAP provides a capability for global mapping of soil moisture and freeze/thaw state with unprecedented accuracy, resolution, and coverage. This improvement in hydrosphere state measurement is expected to advance our understanding of the processes that link the terrestrial water, energy and carbon cycles, improve our capability in flood prediction and drought monitoring, and enhance our skills in weather and climate forecast. For swath-based soil moisture measurement, SMAP generates three operational geophysical data products: (1) the radiometer-only soil moisture product (L2_SM_P) posted at 36-kilometer resolution, (2) the radar-only soil moisture product (L2_SM_A) posted at 3-kilometers resolution, and (3) the radar-radiometer combined soil moisture product (L2_SM_AP) posted at 9-kilometers resolution. Each product draws on the strengths of the underlying sensor(s) and plays a unique role in hydroclimatological and hydrometeorological applications. A full suite of SMAP data products is given in Table 1.

  5. A comparative study of the SMAP passive soil moisture product with existing satellite-based soil moisture products

    USDA-ARS?s Scientific Manuscript database

    NASA Soil Moisture Active Passive (SMAP) satellite mission was launched on January 31, 2015 to provide global mapping of high-resolution soil moisture and freeze thaw state every 2-3 days using an L-band (active) radar and an L-band (passive) radiometer. The radiometer-only soil moisture product (L2...

  6. Landscape freeze/thaw retrievals from soil moisture active passive (SMAP) L-band radar measurements

    NASA Astrophysics Data System (ADS)

    Colliander, A.; Derksen, C.

    2015-12-01

    The NASA Soil Moisture Active Passive (SMAP) mission produces a daily landscape freeze/thaw product (L3_FT_A) which provides categorical (frozen, thawed, or [inverse] transitional) classification of the surface state (for land areas north of 45°N) derived from ascending and descending orbits of SMAP high-resolution L-band radar measurements. The FT retrievals are output to 3 km resolution polar and global grids with temporal revisit of 2 days or better north of ~55°N and 3 days or better north of 45°N. The algorithm classifies the land surface freeze/thaw state based on the time series of L-band radar backscatter compared to frozen and thawed reference states. This presentation will describe pre-launch L3_FT_A algorithm implementation and evaluation using NASA/SAC-D Aquarius L-band radar data, and provide an update on the current status of the SMAP L3_FT_A product. In advance of SMAP measurements, the L3_FT_A algorithm was configured and evaluated using Aquarius measurements. While the temporal (weekly) and spatial (~100 km) resolution is much coarser than SMAP, Aquarius provides L-band radar measurements at an incidence angle (normalized to 40 degrees) which is close to SMAP. Evaluation of FT retrievals derived using both Aquarius freeze/thaw references and backscatter time series as inputs identified good agreement during the fall freeze-up period with FT flag agreement (Aquarius versus in situ) exceeding the 80% SMAP mission requirement when summarized on a monthly basis. Disagreement was greater during the spring thaw transition due in part to uncertainty in characterizing the surface state from in situ measurements and backscatter sensitivity to the onset of snow melt, independent of the soil temperature beneath the snowpack. Initial challenges for SMAP derived FT retrievals include the scale difference between the Aquarius references (~100 km) and the SMAP measurements (3 km) which is particularly problematic in areas of complex topography and/or mixed

  7. Soil Moisture Active/Passive (SMAP) Forward Brightness Temperature Simulator

    NASA Technical Reports Server (NTRS)

    Peng, Jinzheng; Peipmeier, Jeffrey; Kim, Edward

    2012-01-01

    The SMAP is one of four first-tier missions recommended by the US National Research Council's Committee on Earth Science and Applications from Space (Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond, Space Studies Board, National Academies Press, 2007) [1]. It is to measure the global soil moisture and freeze/thaw from space. One of the spaceborne instruments is an L-band radiometer with a shared single feedhorn and parabolic mesh reflector. While the radiometer measures the emission over a footprint of interest, unwanted emissions are also received by the antenna through the antenna sidelobes from the cosmic background and other error sources such as the Sun, the Moon and the galaxy. Their effects need to be considered accurately, and the analysis of the overall performance of the radiometer requires end-to-end performance simulation from Earth emission to antenna brightness temperature, such as the global simulation of L-band brightness temperature simulation over land and sea [2]. To assist with the SMAP radiometer level 1B algorithm development, the SMAP forward brightness temperature simulator is developed by adapting the Aquarius simulator [2] with necessary modifications. This poster presents the current status of the SMAP forward brightness simulator s development including incorporating the land microwave emission model and its input datasets, and a simplified atmospheric radiative transfer model. The latest simulation results are also presented to demonstrate the ability of supporting the SMAP L1B algorithm development.

  8. L-band active/passive time series measurements over a growing season usign the COMRAD ground-based SMAP

    USDA-ARS?s Scientific Manuscript database

    Scheduled to launch in October 2014, NASA’s Soil Moisture Active Passive (SMAP) mission will provide high-resolution global mapping of soil moisture and freeze/thaw state every 2-3 days. These new measurements of the hydrological condition of the Earth’s surface will build on data from European Spa...

  9. Soil Moisture Active Passive (SMAP) Microwave Radiometer Radio-Frequency Interference (RFI) Mitigation: Initial On-Orbit Results

    NASA Technical Reports Server (NTRS)

    Mohammed, Priscilla N.; Piepmeier, Jeffrey R.; Johnson, Joel T.; Aksoy, Mustafa; Bringer, Alexandra

    2015-01-01

    The Soil Moisture Active Passive (SMAP) mission, launched in January 2015, provides global measurements of soil moisture using a microwave radiometer. SMAPs radiometer passband lies within the passive frequency allocation. However, both unauthorized in-band transmitters as well as out-of-band emissions from transmitters operating at frequencies adjacent to this allocated spectrum have been documented as sources of radio frequency interference (RFI) to the L-band radiometers on SMOS and Aquarius. The spectral environment consists of high RFI levels as well as significant occurrences of low level RFI equivalent to 0.1 to 10 K. The SMAP ground processor reports the antenna temperature both before and after RFI mitigation is applied. The difference between these quantities represents the detected RFI level. The presentation will review the SMAP RFI detection and mitigation procedure and discuss early on-orbit RFI measurements from the SMAP radiometer. Assessments of global RFI properties and source types will be provided, as well as the implications of these results for SMAP soil moisture measurements.

  10. Assessment of Version 4 of the SMAP Passive Soil Moisture Standard Product

    NASA Technical Reports Server (NTRS)

    O'neill, P. O.; Chan, S.; Bindlish, R.; Jackson, T.; Colliander, A.; Dunbar, R.; Chen, F.; Piepmeier, Jeffrey R.; Yueh, S.; Entekhabi, D.; hide

    2017-01-01

    NASAs Soil Moisture Active Passive (SMAP) mission launched on January 31, 2015 into a sun-synchronous 6 am6 pm orbit with an objective to produce global mapping of high-resolution soil moisture and freeze-thaw state every 2-3 days. The SMAP radiometer began acquiring routine science data on March 31, 2015 and continues to operate nominally. SMAPs radiometer-derived standard soil moisture product (L2SMP) provides soil moisture estimates posted on a 36-km fixed Earth grid using brightness temperature observations and ancillary data. A beta quality version of L2SMP was released to the public in October, 2015, Version 3 validated L2SMP soil moisture data were released in May, 2016, and Version 4 L2SMP data were released in December, 2016. Version 4 data are processed using the same soil moisture retrieval algorithms as previous versions, but now include retrieved soil moisture from both the 6 am descending orbits and the 6 pm ascending orbits. Validation of 19 months of the standard L2SMP product was done for both AM and PM retrievals using in situ measurements from global core calval sites. Accuracy of the soil moisture retrievals averaged over the core sites showed that SMAP accuracy requirements are being met.

  11. Investigating Baseline, Alternative and Copula-based Algorithm for combining Airborne Active and Passive Microwave Observations in the SMAP Context

    NASA Astrophysics Data System (ADS)

    Montzka, C.; Lorenz, C.; Jagdhuber, T.; Laux, P.; Hajnsek, I.; Kunstmann, H.; Entekhabi, D.; Vereecken, H.

    2015-12-01

    The objective of the NASA Soil Moisture Active & Passive (SMAP) mission is to provide global measurements of soil moisture and freeze/thaw states. SMAP integrates L-band radar and radiometer instruments as a single observation system combining the respective strengths of active and passive remote sensing for enhanced soil moisture mapping. Airborne instruments will be a key part of the SMAP validation program. Here, we present an airborne campaign in the Rur catchment, Germany, in which the passive L-band system Polarimetric L-band Multi-beam Radiometer (PLMR2) and the active L-band system F-SAR of DLR were flown simultaneously on the same platform on six dates in 2013. The flights covered the full heterogeneity of the area under investigation, i.e. all types of land cover and experimental monitoring sites with in situ sensors. Here, we used the obtained data sets as a test-bed for the analysis of three active-passive fusion techniques: A) The SMAP baseline algorithm: Disaggregation of passive microwave brightness temperature by active microwave backscatter and subsequent inversion to soil moisture, B), the SMAP alternative algorithm: Estimation of soil moisture by passive sensor data and subsequent disaggregation by active sensor backscatter and C) Copula-based combination of active and passive microwave data. For method C empirical Copulas were generated and theoretical Copulas fitted both on the level of the raw products brightness temperature and backscatter as well as two soil moisture products. Results indicate that the regression parameters for method A and B are dependent on the radar vegetation index (RVI). Similarly, for method C the best performance was gained by generating separate Copulas for individual land use classes. For more in-depth analyses longer time series are necessary as can obtained by airborne campaigns, therefore, the methods will be applied to SMAP data.

  12. Utilization of Ancillary Data Sets for Conceptual SMAP Mission Algorithm Development and Product Generation

    NASA Technical Reports Server (NTRS)

    O'Neill, P.; Podest, E.

    2011-01-01

    The planned Soil Moisture Active Passive (SMAP) mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey, Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond [1]. Scheduled to launch late in 2014, the proposed SMAP mission would provide high resolution and frequent revisit global mapping of soil moisture and freeze/thaw state, utilizing enhanced Radio Frequency Interference (RFI) mitigation approaches to collect new measurements of the hydrological condition of the Earth's surface. The SMAP instrument design incorporates an L-band radar (3 km) and an L band radiometer (40 km) sharing a single 6-meter rotating mesh antenna to provide measurements of soil moisture and landscape freeze/thaw state [2]. These observations would (1) improve our understanding of linkages between the Earth's water, energy, and carbon cycles, (2) benefit many application areas including numerical weather and climate prediction, flood and drought monitoring, agricultural productivity, human health, and national security, (3) help to address priority questions on climate change, and (4) potentially provide continuity with brightness temperature and soil moisture measurements from ESA's SMOS (Soil Moisture Ocean Salinity) and NASA's Aquarius missions. In the planned SMAP mission prelaunch time frame, baseline algorithms are being developed for generating (1) soil moisture products both from radiometer measurements on a 36 km grid and from combined radar/radiometer measurements on a 9 km grid, and (2) freeze/thaw products from radar measurements on a 3 km grid. These retrieval algorithms need a variety of global ancillary data, both static and dynamic, to run the retrieval models, constrain the retrievals, and provide flags for indicating retrieval quality. The choice of which ancillary dataset to use for a particular SMAP product would be based on a number of factors

  13. Utilization of Ancillary Data Sets for Conceptual SMAP Mission Algorithm Development and Product Generation

    NASA Technical Reports Server (NTRS)

    O'Neill, P.; Podest, E.

    2011-01-01

    The planned Soil Moisture Active Passive (SMAP) mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey, Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond [1]. Scheduled to launch late in 2014, the proposed SMAP mission would provide high resolution and frequent revisit global mapping of soil moisture and freeze/thaw state, utilizing enhanced Radio Frequency Interference (RFI) mitigation approaches to collect new measurements of the hydrological condition of the Earth's surface. The SMAP instrument design incorporates an L-band radar (3 km) and an L band radiometer (40 km) sharing a single 6-meter rotating mesh antenna to provide measurements of soil moisture and landscape freeze/thaw state [2]. These observations would (1) improve our understanding of linkages between the Earth's water, energy, and carbon cycles, (2) benefit many application areas including numerical weather and climate prediction, flood and drought monitoring, agricultural productivity, human health, and national security, (3) help to address priority questions on climate change, and (4) potentially provide continuity with brightness temperature and soil moisture measurements from ESA's SMOS (Soil Moisture Ocean Salinity) and NASA's Aquarius missions. In the planned SMAP mission prelaunch time frame, baseline algorithms are being developed for generating (1) soil moisture products both from radiometer measurements on a 36 km grid and from combined radar/radiometer measurements on a 9 km grid, and (2) freeze/thaw products from radar measurements on a 3 km grid. These retrieval algorithms need a variety of global ancillary data, both static and dynamic, to run the retrieval models, constrain the retrievals, and provide flags for indicating retrieval quality. The choice of which ancillary dataset to use for a particular SMAP product would be based on a number of factors

  14. Overview of the NASA soil moisture active/passive mission

    USDA-ARS?s Scientific Manuscript database

    The NASA Soil Moisture Active Passive (SMAP) Mission is currently in design Phase C and scheduled for launch in October 2014. Its mission concept is based on combined L-band radar and radiometry measurements obtained from a shared, rotating 6-meter antennae. These measurements will be used to retrie...

  15. Initial validation of the Soil Moisture Active Passive mission using USDA-ARS watersheds

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) Mission was launched in January 2015 to measure global surface soil moisture. The calibration and validation program of SMAP relies upon an international cooperative of in situ networks to provide ground truth references across a variety of landscapes. The U...

  16. Temperature Knowledge and Model Correlation for the Soil Moisture Active and Passive (SMAP) Reflector Mesh

    NASA Technical Reports Server (NTRS)

    Mikhaylov, Rebecca; Dawson, Douglas; Kwack, Eug

    2014-01-01

    NASA's Earth observing Soil Moisture Active & Passive (SMAP) Mission is scheduled to launch in November 2014 into a 685 km near-polar, sun synchronous orbit. SMAP will provide comprehensive global mapping measurements of soil moisture and freeze/thaw state in order to enhance understanding of the processes that link the water, energy, and carbon cycles. The primary objectives of SMAP are to improve worldwide weather and flood forecasting, enhance climate prediction, and refine drought and agriculture monitoring during its 3 year mission. The SMAP instrument architecture incorporates an L-band radar and an L-band radiometer which share a common feed horn and parabolic mesh reflector. The instrument rotates about the nadir axis at approximately 15 rpm, thereby providing a conically scanning wide swath antenna beam that is capable of achieving global coverage within 3 days. In order to make the necessary precise surface emission measurements from space, a temperature knowledge of 60 deg C for the mesh reflector is required. In order to show compliance, a thermal vacuum test was conducted using a portable solar simulator to illuminate a non flight, but flight-like test article through the quartz window of the vacuum chamber. The molybdenum wire of the antenna mesh is too fine to accommodate thermal sensors for direct temperature measurements. Instead, the mesh temperature was inferred from resistance measurements made during the test. The test article was rotated to five separate angles between 10 deg and 90 deg via chamber breaks to simulate the maximum expected on-orbit solar loading during the mission. The resistance measurements were converted to temperature via a resistance versus temperature calibration plot that was constructed from data collected in a separate calibration test. A simple thermal model of two different representations of the mesh (plate and torus) was created to correlate the mesh temperature predictions to within 60 deg C. The on-orbit mesh

  17. Temperature Knowledge and Model Correlation for the Soil Moisture Active and Passive (SMAP) Reflector Mesh

    NASA Technical Reports Server (NTRS)

    Mikhaylov, Rebecca; Dawson, Douglas; Kwack, Eug

    2014-01-01

    NASA's Earth observing Soil Moisture Active & Passive (SMAP) Mission is scheduled to launch in November 2014 into a 685 km near-polar, sun synchronous orbit. SMAP will provide comprehensive global mapping measurements of soil moisture and freeze/thaw state in order to enhance understanding of the processes that link the water, energy, and carbon cycles. The primary objectives of SMAP are to improve worldwide weather and flood forecasting, enhance climate prediction, and refine drought and agriculture monitoring during its 3 year mission. The SMAP instrument architecture incorporates an L-band radar and an L-band radiometer which share a common feed horn and parabolic mesh reflector. The instrument rotates about the nadir axis at approximately 15 rpm, thereby providing a conically scanning wide swath antenna beam that is capable of achieving global coverage within 3 days. In order to make the necessary precise surface emission measurements from space, a temperature knowledge of 60 deg C for the mesh reflector is required. In order to show compliance, a thermal vacuum test was conducted using a portable solar simulator to illuminate a non flight, but flight-like test article through the quartz window of the vacuum chamber. The molybdenum wire of the antenna mesh is too fine to accommodate thermal sensors for direct temperature measurements. Instead, the mesh temperature was inferred from resistance measurements made during the test. The test article was rotated to five separate angles between 10 deg and 90 deg via chamber breaks to simulate the maximum expected on-orbit solar loading during the mission. The resistance measurements were converted to temperature via a resistance versus temperature calibration plot that was constructed from data collected in a separate calibration test. A simple thermal model of two different representations of the mesh (plate and torus) was created to correlate the mesh temperature predictions to within 60 deg C. The on-orbit mesh

  18. Implementation of Active Thermal Control (ATC) for the Soil Moisture Active and Passive (SMAP) Radiometer

    NASA Technical Reports Server (NTRS)

    Mikhaylov, Rebecca; Kwack, Eug; French, Richard; Dawson, Douglas; Hoffman, Pamela

    2014-01-01

    NASA's Earth Observing Soil Moisture Active and Passive (SMAP) Mission is scheduled to launch in November 2014 into a 685 kilometer near-polar, sun-synchronous orbit. SMAP will provide comprehensive global mapping measurements of soil moisture and freeze/thaw state in order to enhance understanding of the processes that link the water, energy, and carbon cycles. The primary objectives of SMAP are to improve worldwide weather and flood forecasting, enhance climate prediction, and refine drought and agriculture monitoring during its three year mission. The SMAP instrument architecture incorporates an L-band radar and an L-band radiometer which share a common feed horn and parabolic mesh reflector. The instrument rotates about the nadir axis at approximately 15 revolutions per minute, thereby providing a conically scanning wide swath antenna beam that is capable of achieving global coverage within three days. In order to make the necessary precise surface emission measurements from space, the electronics and hardware associated with the radiometer must meet tight short-term (instantaneous and orbital) and long-term (monthly and mission) thermal stabilities. Maintaining these tight thermal stabilities is quite challenging because the sensitive electronics are located on a fast spinning platform that can either be in full sunlight or total eclipse, thus exposing them to a highly transient environment. A passive design approach was first adopted early in the design cycle as a low-cost solution. With careful thermal design efforts to cocoon and protect all sensitive components, all stability requirements were met passively. Active thermal control (ATC) was later added after the instrument Preliminary Design Review (PDR) to mitigate the threat of undetected gain glitches, not for thermal-stability reasons. Gain glitches are common problems with radiometers during missions, and one simple way to avoid gain glitches is to use the in-flight set point programmability that ATC

  19. Implementation of Active Thermal Control (ATC) for the Soil Moisture Active and Passive (SMAP) Radiometer

    NASA Technical Reports Server (NTRS)

    Mikhaylov, Rebecca; Kwack, Eug; French, Richard; Dawson, Douglas; Hoffman, Pamela

    2014-01-01

    NASA's Earth Observing Soil Moisture Active and Passive (SMAP) Mission is scheduled to launch in November 2014 into a 685 kilometer near-polar, sun-synchronous orbit. SMAP will provide comprehensive global mapping measurements of soil moisture and freeze/thaw state in order to enhance understanding of the processes that link the water, energy, and carbon cycles. The primary objectives of SMAP are to improve worldwide weather and flood forecasting, enhance climate prediction, and refine drought and agriculture monitoring during its three year mission. The SMAP instrument architecture incorporates an L-band radar and an L-band radiometer which share a common feed horn and parabolic mesh reflector. The instrument rotates about the nadir axis at approximately 15 revolutions per minute, thereby providing a conically scanning wide swath antenna beam that is capable of achieving global coverage within three days. In order to make the necessary precise surface emission measurements from space, the electronics and hardware associated with the radiometer must meet tight short-term (instantaneous and orbital) and long-term (monthly and mission) thermal stabilities. Maintaining these tight thermal stabilities is quite challenging because the sensitive electronics are located on a fast spinning platform that can either be in full sunlight or total eclipse, thus exposing them to a highly transient environment. A passive design approach was first adopted early in the design cycle as a low-cost solution. With careful thermal design efforts to cocoon and protect all sensitive components, all stability requirements were met passively. Active thermal control (ATC) was later added after the instrument Preliminary Design Review (PDR) to mitigate the threat of undetected gain glitches, not for thermal-stability reasons. Gain glitches are common problems with radiometers during missions, and one simple way to avoid gain glitches is to use the in-flight set point programmability that ATC

  20. Soil Moisture Active Passive (SMAP) Radiometer Subband Calibration and Calibration Drift

    NASA Technical Reports Server (NTRS)

    Peng, Jinzheng; Piepmeier, Jeffrey R.; De Amici, Giovanni; Mohammed, Priscilla N.

    2016-01-01

    The SMAP is one of four first-tier missions recommended by the US National Research Council's Committee on Earth Science and Applications from Space (Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond, Space Studies Board, National Academies Press, 2007). The observatory was launched on Jan 31, 2015. The goal of the SMAP is to measure the global soil moisture and freeze/thaw from space. The L-band radiometer is the passive portion of the spaceborne instrument. It measures all four Stokes antenna temperatures and outputs counts. The Level 1B Brightness Temperature (L1B_TB) science algorithm converts radiometer counts to the Earths surface brightness temperature. The results are reported in the radiometer level 1B data product together with the calibrated antenna temperature (TA) and all of the corrections to the unwanted sources contribution. The calibrated L1B data product are required to satisfy the overall radiometer error budget of 1.3 K needed to meet the soil moisture requirement of 0.04 volumetric fraction uncertainty and the calibration drift requirement of no larger than 0.4 K per month.

  1. Soil Moisture Active/Passive (SMAP) Radiometer Subband Calibration and Calibration Drift

    NASA Technical Reports Server (NTRS)

    Peng, Jinzheng; Piepmeier, Jeffrey R.; De Amici, Giovanni; Mohammed, Priscilla

    2016-01-01

    The SMAP is one of four first-tier missions recommended by the US National Research Council's Committee on Earth Science and Applications from Space (Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond, Space Studies Board, National Academies Press, 2007)]. The observatory was launched on Jan 31, 2015. The goal of the SMAP is to measure the global soil moisture and freeze/thaw from space. The L-band radiometer is the passive portion of the spaceborne instrument. It measures all four Stokes antenna temperatures and outputs counts. The Level 1B Brightness Temperature (L1B_TB) science algorithm converts radiometer counts to the Earths surface brightness temperature. The results are reported in the radiometer level 1B data product together with the calibrated antenna temperature (TA) and all of the corrections to the unwanted sources contribution. The calibrated L1B data product are required to satisfy the overall radiometer error budget of 1.3 K needed to meet the soil moisture requirement of 0.04 volumetric fraction uncertainty and the calibration drift requirement of no larger than 0.4 K per month.

  2. The Soil Moisture Active Passive (SMAP): Radar Measurements at High Latitudes and of Freeze/Thaw State

    NASA Technical Reports Server (NTRS)

    Spencer, Michael; Dunbar, Scott; Chen, Curtis

    2013-01-01

    The Soil Moisture Active/Passive (SMAP) mission is scheduled for a late 2014 launch date. The mission will use both active radar and passive radiometer instruments at L-Band. In order to achieve a wide swath at sufficiently high resolution for both active and passive channels, an instrument architecture that uses a large rotating reflector is employed. In this paper, a focus will be places on the radar design and associated data products at high latitudes. The radar will employ synthetic-aperture processing to achieve a "moderate" resolution dual-pol product over a 1000 km swath. Because the radar is operating continuously, very frequent temporal coverage will be achieved at high latitudes. This data will be used, among other things, to produce a surface freeze/thaw state data product.

  3. The Soil Moisture Active Passive (SMAP) Radar: Measurements at High Latitudes and of Surface Freeze/Thaw State

    NASA Technical Reports Server (NTRS)

    Spencer, Michael; Dunbar, Scott; Chen, Curtis

    2013-01-01

    The Soil Moisture Active/Passive (SMAP) mission is scheduled for a late 2014 launch date. The mission will use both active radar and passive radiometer instruments at L-Band in order to achieve the science objectives of measuring soil moisture and land surface freeze-thaw state. To achieve requirements for a wide swath at sufficiently high resolution for both active and passive channels, an instrument architecture that uses a large rotating reflector is employed. In this paper, focus will be placed on the radar design. The radar will employ synthetic-aperture processing to achieve a "moderate" resolution dual-pol product over a 1000 km swath. Because the radar is operating continuously, very frequent temporal coverage will be achieved at high latitudes. This data will be used to produce a surface freeze/thaw state data product.

  4. SMAP During Weighing

    NASA Image and Video Library

    2014-11-07

    Preparations are underway to weigh NASA's Soil Moisture Active Passive, or SMAP, spacecraft in the clean room of the Astrotech payload processing facility on Vandenberg Air Force Base in California. The weighing of a spacecraft is standard procedure during prelaunch processing. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. NASA's Jet Propulsion Laboratory that built the observatory and its radar instrument also is responsible for SMAP project management and mission operations. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  5. SMAP During Weighing

    NASA Image and Video Library

    2014-11-07

    Operations are underway to weigh NASA's Soil Moisture Active Passive, or SMAP, spacecraft in the clean room of the Astrotech payload processing facility on Vandenberg Air Force Base in California. The weighing of a spacecraft is standard procedure during prelaunch processing. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. NASA's Jet Propulsion Laboratory that built the observatory and its radar instrument also is responsible for SMAP project management and mission operations. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  6. SMAP During Weighing

    NASA Image and Video Library

    2014-11-07

    NASA's Soil Moisture Active Passive, or SMAP, spacecraft is lifted from its workstand in the clean room of the Astrotech payload processing facility on Vandenberg Air Force Base in California during operations to determine its weight. The weighing of a spacecraft is standard procedure during prelaunch processing. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. NASA's Jet Propulsion Laboratory that built the observatory and its radar instrument also is responsible for SMAP project management and mission operations. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  7. Soil Moisture Active Passive (SMAP) Calibration and Validation Plan and Current Activities

    NASA Technical Reports Server (NTRS)

    Jackson, T. J.; Cosh, M.; Bindlish, R.; Crow, W.; Colliander, A.; Njoku, E.; McDonald, K.; Kimball, J.; Belair, S.; Walker, J.; hide

    2010-01-01

    The primary objective of the SMAP calibration and validation (Cal/Val) program is demonstrating that the science requirements (product accuracy and bias) have been met over the mission life. This begins during pre-launch with activities that contribute to high quality products and establishing post-launch validation infrastructure and continues through the mission life. However, the major focus is on a relatively short Cal/Val period following launch. The general approach and elements of the SMAP Cal/Val plan will be described and along with details on several ongoing or recent field experiments designed to address both near- and long-term Cal/Val.

  8. SMAP Science Data System

    NASA Astrophysics Data System (ADS)

    Cuddy, D.; Gluck, S.; Hua, H.; Weiss, B.; Wong, C.; Kwoun, O.; Cruz, J.

    2012-12-01

    NASA's Soil Moisture Active Passive (SMAP) mission will retrieve global surface soil moisture and freeze/thaw state based on measurements acquired by remote sensing instruments that fly on an Earth orbiting satellite. The SMAP observatory will launch no earlier than October 2014 into a near-polar, sun-synchronous orbit. The SMAP instrument suite includes a radiometer and a synthetic aperture radar. This paper will describe the Science Data System (SDS) that will process the SMAP raw data into higher-level products. SMAP data products will provide calibrated radar backscatter and radiometer brightness temperatures, derived geophysical parameters in the form of soil moisture and freeze/thaw states, daily maps of these geophysical parameters, as well as modeled analyses of global soil moisture and carbon flux in Boreal regions. The SDS is a fully automated system that will process the incoming raw data from the instruments, incorporate spacecraft and instrument engineering data, and use both dynamic and static ancillary products from the scientific community. The SDS will use the Object Oriented Data Technology (OODT) from Apache Software Foundation to control the 13 standard data product processors and additional 15 preprocessors. The standard data products will appear in Hierarchical Data Format-5 (HDF5) format. The products will contain metadata that conform to the ISO 19115 standard. The Alaska Satellite Facility (ASF) will host and distribute SMAP Radar data, while the National Snow and Ice Data Center (NSIDC) will host and distribute all other SMAP products.

  9. Soil moisture active passive (SMAP) satellite status and cal/val activities

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) satellite will be launched by the National Aeronautics and Space Administration in November 2014. This satellite is the culmination of basic research and applications development over the past thirty years. During most of this period, research and development ...

  10. Retrieval of Sea Surface Salinity from The NASA Soil Moisture Active Passive and Aquarius Mission Data

    NASA Astrophysics Data System (ADS)

    Yueh, S. H.; Fore, A.; Tang, W.; Hayashi, A.

    2016-12-01

    NASA's Soil Moisture Active Passive (SMAP) mission was launched in January 2015 to provide global mapping of soil moisture. SMAP has two instruments, a polarimetric radiometer and a multi-polarization synthetic aperture radar. The radar stopped operation on 7 July 2015. Both instruments operate at L-band frequencies and share a single 6-m rotating mesh antenna, producing a fixed incidence angle conical scan at 40° across a 1000-km swath. We have analyzed all available SMAP and Aquarius data to improve the geophysical model functions, relating the L-band radar and radiometer data to ocean surface wind speed, wind direction, significant wave height and sea surface temperature. We find that it is necessary to account for the fourth order harmonics for wind direction effect and SST influence on sea surface scattering. The SMAP SSS retrieval algorithm developed at the Jet Propulsion Laboratory leverages the QuikSCAT and Aquarius algorithms to account for SMAP's two-look geometry for retrieval of SSS and wind speed. The retrieval algorithm has been applied to more than one year of SMAP radiometer data. We have also applied the Combined Active Passive (CAP) algorithm to about three months of SMAP data from April to early July 2015. The spatial patterns of the SMAP SSS agree well with climatological distributions, but exhibit several unique spatial and temporal features. The SMAP SSS reveals the temporal evolutions of freshwater plumes from several major rivers, consistent with the timing of rainy and dry seasons, indicated in the SMAP's soil moisture and Global Precipitation Missions' daily rain products. Accuracy assessment has been performed by comparison with in situ SSS data from buoys and ARGO floats. The accuracy of monthly averaged SMAP product is about 0.2 psu for tropics and mid-latitudes. The improved roughness model function has also been applied to the Aquarius data, resulting in reduction in standard deviation errors and seasonal bias at high latitudes.

  11. SMAP Flys over Earth Artist Concept

    NASA Image and Video Library

    2011-07-12

    This image, created at the Jet Propulsion Laboratory JPL, shows the Soil Moisture Active Passive SMAP mission, specifically depicting how the scanning antenna will fly in space and the swath coverage over the Earth.

  12. The soil moisture active passive validation experiment 2012 (SMAPVEX12): pre-launch calibration and validation of the SMAP satellite

    USDA-ARS?s Scientific Manuscript database

    The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite is scheduled for launch in November 2014. In order to develop robust soil moisture retrieval algorithms that fully exploit the unique capabilities of SMAP, algorithm developers had identified a nee...

  13. Recent advances in the salinity retrieval algorithms for Aquarius and Soil Moisture Active Passive (SMAP)

    NASA Astrophysics Data System (ADS)

    Meissner, Thomas; Wentz, Frank; Lee, Tong

    2017-04-01

    Our presentation discusses the latest improvements in the salinity retrievals both for Aquarius and Soil Moisture Active-Passive (SMAP) since the last releases. The Aquarius V4.0 was released in June 2015. The final V5.0 release is planned for late 2017. SMAP V 2.0 has been released in September 2016. We will present validation results for both Aquarius V5.0 pre-release and SMAP V2.0 salinity comparing with near-surface salinity measurements from Argo floats. We show that salty biases at higher northern latitudes in Aquarius V4.0 can be explained by inaccuracy in the model used in correcting for the absorption by atmospheric oxygen. These biases will be mitigated in V5.0 by fine-tuning the parameters in the oxygen absorption model. The full 360-degree look capability of SMAP makes it possible to take observations from the forward and backward looking direction at the same instance of time. This two-look capability aids the salinity retrievals. One of the largest spurious contaminations in the salinity retrievals is caused by the galactic reflection from the ocean surface. Because in most instances the reflected galaxy appears only in either the forward or the backward look, it is possible to determine its contribution by taking the difference of the measured SMAP brightness temperatures between the two looks. Our result suggests that the surface roughness that is used in the galactic correction needs to be increased and also the estimated strength of some of the galactic sources need to be slightly adjusted. The improved galaxy correction has been implemented in SMAP V2.0 retrieval and will be included in Aquarius V5.0 as well. It helps the mitigation of residual zonal and temporal biases that were present in both products. Another major cause of the observed zonal biases in SMAP is the emissive SMAP mesh antenna. In order to correct for it, an accurate knowledge of the emissivity of the antenna and its physical temperature are required. We discuss the improvements

  14. A GNC Perspective of the Launch and Commissioning of NASA's SMAP (Soil Moisture Active Passive) Spacecraft

    NASA Technical Reports Server (NTRS)

    Brown, Todd S.

    2016-01-01

    The NASA Soil Moisture Active Passive (SMAP) spacecraft was designed to use radar and radiometer measurements to produce global soil moisture measurements every 2-3 days. The SMAP spacecraft is a complicated dual-spinning design with a large 6 meter deployable mesh reflector mounted on a platform that spins at 14.6 rpm while the Guidance Navigation and Control algorithms maintain precise nadir pointing for the de-spun portion of the spacecraft. After launching in early 2015, the Guidance Navigation and Control software and hardware aboard the SMAP spacecraft underwent an intensive spacecraft checkout and commissioning period. This paper describes the activities performed by the Guidance Navigation and Control team to confirm the health and phasing of subsystem hardware and the functionality of the guidance and control modes and algorithms. The operations tasks performed, as well as anomalies that were encountered during the commissioning, are explained and results are summarized.

  15. Soil Moisture Active Passive (SMAP) Calibration and validation plan and current activities

    USDA-ARS?s Scientific Manuscript database

    The primary objective of the SMAP calibration and validation (Cal/Val) program is demonstrating that the science requirements (product accuracy and bias) have been met over the mission life. This begins during pre-launch with activities that contribute to high quality products and establishing post-...

  16. SMAP soil moisture drying more rapid than observed in situ following rainfall events

    USDA-ARS?s Scientific Manuscript database

    We examine soil drying rates by comparing observations from the NASA Soil Moisture Active Passive (SMAP) mission to surface soil moisture from in situ probes during drydown periods at SMAP validation sites. SMAP and in situ probes record different soil drying dynamics after rainfall. We modeled this...

  17. Inter-comparison of SMAP, Aquarius and SMOS L-band brightness temperature observations

    USDA-ARS?s Scientific Manuscript database

    Soil Moisture Active Passive (SMAP) mission is scheduled for launch on January 29, 2015. SMAP will make observations with an L-band radar and radiometer using a shared 6 m rotating reflector antenna. SMAP is a fully polarimetric radiometer with the center frequency of 1.41 GHz. The target accuracy o...

  18. Global High Resolution Mapping and Assimilation of Soil Moisture Observations for the SMAP Radar and Radiometer

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active and Passive (SMAP) mission is being developed by NASA for launch in 2015. The primary science objectives of SMAP are to enhance understanding of land surface controls on the water, energy and carbon cycles, and to determine their linkages. Moreover, SMAP high-resolution so...

  19. PALS (Passive Active L-band System) Radiometer-Based Soil Moisture Retrieval for the SMAP Validation Experiment 2012 (SMAPVEX12)

    NASA Astrophysics Data System (ADS)

    Colliander, A.; Jackson, T. J.; Chan, S.; Bindlish, R.; O'Neill, P. E.; Chazanoff, S. L.; McNairn, H.; Bullock, P.; Powers, J.; Wiseman, G.; Berg, A. A.; Magagi, R.; Njoku, E. G.

    2014-12-01

    NASA's (National Aeronautics and Space Administration) Soil Moisture Active Passive (SMAP) mission is scheduled for launch in early January 2015. For pre-launch soil moisture algorithm development and validation, the SMAP project and NASA coordinated a SMAP Validation Experiment 2012 (SMAPVEX12) together with Agriculture and Agri-Food Canada in the vicinity of Winnipeg, Canada in June 7-July 19, 2012. Coincident active and passive airborne L-band data were acquired using the Passive Active L-band System (PALS) on 17 days during the experiment. Simultaneously with the PALS measurements, soil moisture ground truth data were collected manually. The vegetation and surface roughness were sampled on non-flight days. The SMAP mission will produce surface (top 5 cm) soil moisture products a) using a combination of its L-band radiometer and SAR (Synthetic Aperture Radar) measurements, b) using the radiometer measurement only, and c) using the SAR measurements only. The SMAPVEX12 data are being utilized for the development and testing of the algorithms applied for generating these soil moisture products. This talk will focus on presenting results of retrieving surface soil moisture using the PALS radiometer. The issues that this retrieval faces are very similar to those faced by the global algorithm using the SMAP radiometer. However, the different spatial resolution of the two observations has to be accounted for in the analysis. The PALS 3 dB footprint in the experiment was on the order of 1 km, whereas the SMAP radiometer has a footprint of about 40 km. In this talk forward modeled brightness temperature over the manually sampled fields and the retrieved soil moisture over the entire experiment domain are presented and discussed. In order to provide a retrieval product similar to that of the SMAP passive algorithm, various ancillary information had to be obtained for the SMAPVEX12 domain. In many cases there are multiple options on how to choose and reprocess these data

  20. Generating large-scale estimates from sparse, in-situ networks: multi-scale soil moisture modeling at ARS watersheds for NASA’s soil moisture active passive (SMAP) calibration/validation mission

    USDA-ARS?s Scientific Manuscript database

    NASA’s SMAP satellite, launched in November of 2014, produces estimates of average volumetric soil moisture at 3, 9, and 36-kilometer scales. The calibration and validation process of these estimates requires the generation of an identically-scaled soil moisture product from existing in-situ networ...

  1. SMAP Science Data System Architecture

    NASA Astrophysics Data System (ADS)

    Cuddy, D.

    2014-12-01

    NASA's Soil Moisture Active Passive (SMAP) mission will retrieve global surface soil moisture and freeze/thaw state based on measurements acquired by remote sensing instruments that fly on an Earth orbiting satellite. The SMAP observatory will launch no earlier than January 8, 2015 into a near-polar, sun-synchronous orbit for a three-year mission. The SMAP instrument suite includes a L-band radiometer and a L-band synthetic aperture radar. This paper will describe the architecture of the Science Data System (SDS) that processes the SMAP raw data into higher-level products. All of the SMAP products appear in the Hierarchical Data Format-5 (HDF5) format. Metadata that conform to the ISO 19115 standard accompany each product. SMAP products range from raw data (Level 0) through parsed and organized telemetry (Level 1A), calibrated signals (Level 1B/1C), retrieved geophysical values (Level 2), daily composite maps (Level 3), to analysis and modeling data (Level 4). This paper will describe an architecture that automates the challenge of delivering multiple products with large data volumes within a few hours to a few days of instrument acquisition. Additional challenges include handling data for a diverse user community as well as rapid data visualization. SMAP faces the additional complexity that the archive and access to the SMAP data processes through two NASA Data Active Archive Centers (DAAC): The Alaska Satellite Facility (ASF) hosts and distributes SMAP Radar data, while the National Snow and Ice Data Center (NSIDC) hosts and distributes all other SMAP products.

  2. Validation and scaling of soil moisture in a semi-arid environment: SMAP Validation Experiment 2015 (SMAPVEX15)

    USDA-ARS?s Scientific Manuscript database

    The NASA SMAP (Soil Moisture Active Passive) mission conducted the SMAP Validation Experiment 2015 (SMAPVEX15) in order to support the calibration and validation activities of SMAP soil moisture data product.The main goals of the experiment were to address issues regarding the spatial disaggregation...

  3. SMAP radiometer-based soil moisture products status and validation

    USDA-ARS?s Scientific Manuscript database

    The NASA Soil Moisture Active Passive (SMAP) mission has been providing L-band brightness temperature measurements of the globe since 2015. These are used with retrieval algorithms to generate global products every 2-3 days. SMAP has recently implemented several new products to enhance both the spat...

  4. SMAP Science Data Products

    NASA Astrophysics Data System (ADS)

    Cuddy, D.

    2014-12-01

    NASA's Soil Moisture Active Passive (SMAP) mission will retrieve global surface soil moisture and freeze/thaw state based on measurements acquired by remote sensing instruments that fly on an Earth orbiting satellite. The SMAP observatory will launch no earlier than January 8, 2015 into a near-polar, sun-synchronous orbit. The SMAP instrument suite includes a radiometer and synthetic aperture radar. This paper will describe the Science Data System (SDS) that will process the SMAP raw data into higher-level products. SMAP data products will provide calibrated radar backscatter and radiometer brightness temperatures, derived geophysical parameters in the form of soil moisture and freeze/thaw states, daily maps of these geophysical parameters, as well as modeled analyses of global soil moisture and carbon flux in Boreal regions. The SDS is a fully automated system that will process the incoming raw data from the instruments, incorporate spacecraft and instrument engineering data, and use both dynamic and static ancillary products from the scientific community. The SDS will produce 14 standard data product processors. This paper will discuss the standard data products, their format, metadata, quality assessment products, as well as the planned release dates for the products both Beta and Validated quality. The standard data products will appear in Hierarchical Data Format-5 (HDF5) format. The products will contain metadata that conform to the ISO 19115 standard. The Alaska Satellite Facility (ASF) will host and distribute SMAP Radar data, while the National Snow and Ice Data Center (NSIDC) will host and distribute all other SMAP products.

  5. Soil Moisture Active Passive (SMAP) Project Algorithm Theoretical Basis Document SMAP L1B Radiometer Data Product: L1B_TB

    NASA Technical Reports Server (NTRS)

    Piepmeier, Jeffrey; Mohammed, Priscilla; De Amici, Giovanni; Kim, Edward; Peng, Jinzheng; Ruf, Christopher; Hanna, Maher; Yueh, Simon; Entekhabi, Dara

    2016-01-01

    The purpose of the Soil Moisture Active Passive (SMAP) radiometer calibration algorithm is to convert Level 0 (L0) radiometer digital counts data into calibrated estimates of brightness temperatures referenced to the Earth's surface within the main beam. The algorithm theory in most respects is similar to what has been developed and implemented for decades for other satellite radiometers; however, SMAP includes two key features heretofore absent from most satellite borne radiometers: radio frequency interference (RFI) detection and mitigation, and measurement of the third and fourth Stokes parameters using digital correlation. The purpose of this document is to describe the SMAP radiometer and forward model, explain the SMAP calibration algorithm, including approximations, errors, and biases, provide all necessary equations for implementing the calibration algorithm and detail the RFI detection and mitigation process. Section 2 provides a summary of algorithm objectives and driving requirements. Section 3 is a description of the instrument and Section 4 covers the forward models, upon which the algorithm is based. Section 5 gives the retrieval algorithm and theory. Section 6 describes the orbit simulator, which implements the forward model and is the key for deriving antenna pattern correction coefficients and testing the overall algorithm.

  6. Validation of the Soil Moisture Active Passive mission using USDA-ARS experimental watersheds

    USDA-ARS?s Scientific Manuscript database

    The calibration and validation program of the Soil Moisture Active Passive mission (SMAP) relies upon an international cooperative of in situ networks to provide ground truth references across a variety of landscapes. The USDA Agricultural Research Service operates several experimental watersheds wh...

  7. The NASA SMAP Mission Level 4 Carbon Product: A New Tool for Global Monitoring of Terrestrial Carbon Exchange

    NASA Astrophysics Data System (ADS)

    Kimball, J. S.; Jones, L. A.; Glassy, J. M.; Reichle, R. H.; Ardizzone, J. V.; Stavros, E. N.

    2015-12-01

    The NASA SMAP (Soil Moisture Active Passive) mission was successfully launched January 31st 2015, inaugurating new operational low frequency (L-band) microwave observations of land surface conditions. SMAP provides for global monitoring of dynamic landscape freeze-thaw (FT) and soil moisture conditions, with model enhanced estimation of terrestrial carbon fluxes and environmental controls. Science objectives enabled by these data include improving understanding of water, energy and carbon cycle linkages, and reducing uncertainty regarding land-atmosphere CO2 exchange and the purported missing carbon sink. The Level 4 Carbon (L4_C) product uses SMAP FT retrievals and data assimilation enhanced soil moisture estimates with other ancillary inputs to quantify daily net ecosystem CO2 exchange (NEE), component carbon fluxes and surface soil organic carbon (SOC) stocks globally. The L4_C product also quantifies underlying soil moisture and frozen season constraints to vegetation growth and respiration. Here we describe initial L4_C observations and performance, including global variations in carbon fluxes and anomalous impacts from recent climate extremes; example illustrations show the northern migration of spring thawing, growing season onset and subsequent summer drought decline in photosynthetic carbon uptake. Initial performance assessments indicate that the L4_C product achieves targeted NEE accuracy requirements within 1.6 g C m-2 d-1 (RMSE) over more than 80% of the global domain, and similar to tower eddy covariance based observations. Public release of the L4_C data is expected in late 2015. Early results from L4_C Cal/Val intensive activities and anticipated science applications are discussed.

  8. Global Evaporation Estimates from SMAP Passive Microwave Soil Moisture Retrievals Using Conditional Sampling.

    NASA Astrophysics Data System (ADS)

    Vreugdenhil, M.; Entekhabi, D.; Konings, A. G.; Salvucci, G.; Hogan, P.

    2015-12-01

    Evaporation links the water, energy and carbon cycles over land yet even its climatology on global scale is not observed. Tower-based flux measurements are sparse and do not cover diverse biomes and climates. In the last decades, many strategies to derive evaporation based on remote sensing measurements have been developed. However, these methods are dependent on a variety of assumptions and auxiliary data, making them more prone to error propagation. A more data-driven method was developed by Salvucci (2001), who found that under statistical stationary conditions the expected change in soil moisture storage is zero when conditioned to a certain storage for a certain time interval. Consequently, using the water balance, precipitation conditionally averaged to the soil moisture storage is equal to the total loss: evaporation and drainage. Using only soil moisture and precipitation data as model inputs reduces the sources of uncertainty. In this presentation we provide the first estimates of global evaporation from NASA's Soil Moisture Active Passive mission by applying the conditional sampling method to passive microwave soil moisture time series and in situ precipitation data. The obtained evaporation estimates show a good correspondence to measured evaporation from eddy correlation towers over selected field sites. Subsequently, a simple approach is developed to directly estimate evaporation from SMAP soil moisture data. This approach enables the investigation of dynamics in evaporation during the dry-down after storms. The timing of the transition between the different stages of evaporation is assessed for different climates especially the transition from stage 1 to stage 2 evaporation; atmosphere limited evaporation to soil limited evaporation respectively. Investigations into the dynamics of unstressed evaporation and transpiration and the transition from stage 1 to stage 2 evaporation increases our understanding of water stress and soil desiccation. It also

  9. Retrieval of Sea Surface Salinity and Wind from The NASA Soil Moisture Active Passive Mission Data

    NASA Astrophysics Data System (ADS)

    Yueh, S. H.; Fore, A.; Tang, W.; Hayashi, A.

    2015-12-01

    NASA's Soil Moisture Active Passive (SMAP) mission, the first Earth Science Decadal Survey mission, was launched January 31, 2015 to provide high-resolution, frequent-revisit global mapping of soil moisture. SMAP has two instruments, a polarimetric radiometer and a multi-polarization synthetic aperture radar. Both instruments operate at L-band frequencies (~ 1GHz) and share a single 6-m rotating mesh antenna, producing a fixed incidence angle conical scan at 40⁰ across a 1000-km swath and a 2-3 day global revisit. The SMAP SSS and ocean surface wind retrieval algorithm developed at the Jet Propulsion Laboratory leverages the QuikSCAT and Aquarius algorithms to account for the two-look geometry (fore and aft looks from the conical scan) and dual-polarization observations for simultaneous retrieval of SSS and wind speed. The retrieval algorithm has been applied to more than three months of SMAP radiometer data. Comparison with the European Center for Medium-Range Weather Forecasting (ECMWF) wind speed suggests that the SMAP wind speed reaches an accuracy of about 0.7 ms-1. The preliminary assessment of the SMAP SSS products gridded at 50 km spatial resolution and weekly intervals is promising. The spatial patterns of the SSS agree well with climatological distributions, but exhibit several unique spatial and temporal features. The temporal evolutions of freshwater plumes from several major rivers, such as the Amazon, Niger, Congo, Ganges, and Mississippi, are all consistent with the timing of rainy and dry seasons, indicated in the SMAP's soil moisture products. Rigorous accuracy assessment will be performed by comparison with in situ SSS data from buoys and ARGO floats. The SMAP evaluation products will be released to the public prior to November 2015.

  10. Application oft triple collocation in ground-based validation of soil moisture active/passive (SMAP) level 2 data products

    USDA-ARS?s Scientific Manuscript database

    The validation of the soil moisture retrievals from the recently-launched NASA Soil Moisture Active/Passive (SMAP) satellite is important prior to their full public release. Uncertainty in attempts to characterize footprint-scale surface-layer soil moisture using point-scale ground observations has ...

  11. SMAP Algorithms & Cal/Val Workshop

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active and Passive (SMAP) mission is one of four Decadal Survey missions recommended by the U.S. National Research Council for launch in the early part of the next decade ("Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond," NRC, Committ...

  12. Evaluation of sea surface salinity retrieval from SMAP

    NASA Astrophysics Data System (ADS)

    Lee, Tong; Meissner, Thomas; Wentz, Frank; Lagerloef, Gary

    2016-04-01

    NASA's Soil Moisture Active Passive (SMAP) satellite, launched on January 29, 2015, has been delivering measurements since April 2015. Although SMAP's primary mission objective is to measure soil moisture, its L-band radiometer-radar design that is similar to Aquarius (NASA's ocean salinity measuring satellite that ended its operation in June 2015) provides a potential mean to continue Aquarius' legacy. SMAP's radiometer, designed for land applications, has less precision than its Aquarius counterpart. However, the spatial resolution of SMAP's measurements is better than that of Aquarius by several times. SMAP's radar, which would have provided wind measurements needed to correct for surface roughness effect on SSS retrieval, stopped functioning in July 2015. Despite this, the Aquarius team has used the Aquarius experience to retrieve SSS from SMAP's radiometer measurements using auxiliary wind measurements. This presentation evaluates the fidelity of the SMAP SSS in depicting various oceanographic features from open oceans to coastal regions. A quantitative comparison between SMAP SSS and in-situ Argo float measurements and between SMAP and satellite SSS from Aquarius and SMOS during their overlapping periods will be presented. The evaluation demonstrates the very encouraging SSS retrieval from SMAP, which provides temporal continuity of SSS measurements beyond Aquarius.

  13. Validation of the Soil Moisture Active Passive (SMAP) satellite soil moisture retrieval in an Arctic tundra environment

    NASA Astrophysics Data System (ADS)

    Wrona, Elizabeth; Rowlandson, Tracy L.; Nambiar, Manoj; Berg, Aaron A.; Colliander, Andreas; Marsh, Philip

    2017-05-01

    This study examines the Soil Moisture Active Passive soil moisture product on the Equal Area Scalable Earth-2 (EASE-2) 36 km Global cylindrical and North Polar azimuthal grids relative to two in situ soil moisture monitoring networks that were installed in 2015 and 2016. Results indicate that there is no relationship between the Soil Moisture Active Passive (SMAP) Level-2 passive soil moisture product and the upscaled in situ measurements. Additionally, there is very low correlation between modeled brightness temperature using the Community Microwave Emission Model and the Level-1 C SMAP brightness temperature interpolated to the EASE-2 Global grid; however, there is a much stronger relationship to the brightness temperature measurements interpolated to the North Polar grid, suggesting that the soil moisture product could be improved with interpolation on the North Polar grid.

  14. Thin Sea-ice Thickness Retrievals from SMAP Brightness Temperatures

    NASA Astrophysics Data System (ADS)

    Bayler, E. J.; Smith, R.

    2016-12-01

    The retrieval of thin sea-ice thicknesses has been developed for data from the European Space Agency's Soil Moisture - Ocean Salinity (SMOS) mission, employing the transition of observed surface emissivity from open water to thick sea ice. This technique is now applied to brightness temperature data from NASA's Soil Moisture Active-Passive (SMAP) mission, addressing the instrument differences between the SMOS Microwave Imaging Radiometer using Aperture Synthesis (MIRAS) and the SMAP scanning radiometer. This study demonstrates the utility of SMAP data for addressing a critical data gap for numerical prediction in polar regions, particularly as operational modeling advances toward coupled ocean-atmosphere-cryosphere modeling.

  15. Validation of SMAP surface soil moisture products with core validation sites

    USDA-ARS?s Scientific Manuscript database

    The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance. Those sites provide well-calibrated in situ soil moisture measurements within SMAP product grid pixels for diver...

  16. The SMAP level 4 surface and root zone soil moisture data assimilation product

    USDA-ARS?s Scientific Manuscript database

    The NASA Soil Moisture Active Passive (SMAP) mission is scheduled for launch in January 2015 and will provide L-band radar and radiometer observations that are sensitive to surface soil moisture (in the top few centimeters of the soil column). For several of the key applications targeted by SMAP, ho...

  17. Evaluation of SMAP radiometer level 2 soil moisture algorithms using four years of SMOS data

    USDA-ARS?s Scientific Manuscript database

    The objectives of the SMAP (Soil Moisture Active Passive) mission include global measurements of soil moisture at three different spatial resolutions. SMAP will provide soil moisture with a 3-day revisit time at an accuracy of 0.04 m3/m3 The 36 km gridded soil moisture product (L2_SM_P) is primar...

  18. Development and Validation of The SMAP Enhanced Passive Soil Moisture Product

    NASA Technical Reports Server (NTRS)

    Chan, S.; Bindlish, R.; O'Neill, P.; Jackson, T.; Chaubell, J.; Piepmeier, J.; Dunbar, S.; Colliander, A.; Chen, F.; Entekhabi, D.; hide

    2017-01-01

    Since the beginning of its routine science operation in March 2015, the NASA SMAP observatory has been returning interference-mitigated brightness temperature observations at L-band (1.41 GHz) frequency from space. The resulting data enable frequent global mapping of soil moisture with a retrieval uncertainty below 0.040 cu m/cu m at a 36 km spatial scale. This paper describes the development and validation of an enhanced version of the current standard soil moisture product. Compared with the standard product that is posted on a 36 km grid, the new enhanced product is posted on a 9 km grid. Derived from the same time-ordered brightness temperature observations that feed the current standard passive soil moisture product, the enhanced passive soil moisture product leverages on the Backus-Gilbert optimal interpolation technique that more fully utilizes the additional information from the original radiometer observations to achieve global mapping of soil moisture with enhanced clarity. The resulting enhanced soil moisture product was assessed using long-term in situ soil moisture observations from core validation sites located in diverse biomes and was found to exhibit an average retrieval uncertainty below 0.040 cu m/cu m. As of December 2016, the enhanced soil moisture product has been made available to the public from the NASA Distributed Active Archive Center at the National Snow and Ice Data Center.

  19. Modelling the Passive Microwave Signature from Land Surfaces: A Review of Recent Results and Application to the L-Band SMOS SMAP Soil Moisture Retrieval Algorithms

    NASA Technical Reports Server (NTRS)

    Wigneron, J.-P.; Jackson, T. J.; O'Neill, P.; De Lannoy, G.; De Rosnay, P.; Walker, J. P.; Ferrazzoli, P.; Mironov, V.; Bircher, S.; Grant, J. P.; hide

    2017-01-01

    Two passive microwave missions are currently operating at L-band to monitor surface soil moisture (SM) over continental surfaces. The SMOS sensor, based on an innovative interferometric technology enabling multi-angular signatures of surfaces to be measured, was launched in November 2009. The SMAP sensor, based on a large mesh reflector 6 m in diameter providing a conically scanning antenna beam with a surface incidence angle of 40deg, was launched in January of 2015. Over the last decade, an intense scientific activity has focused on the development of the SM retrieval algorithms for the two missions. This activity has relied on many field (mainly tower-based) and airborne experimental campaigns, and since 2010-2011, on the SMOS and Aquarius space-borne L-band observations. It has relied too on the use of numerical, physical and semi-empirical models to simulate the microwave brightness temperature of natural scenes for a variety of scenarios in terms of system configurations (polarization, incidence angle) and soil, vegetation and climate conditions. Key components of the inversion models have been evaluated and new parameterizations of the effects of the surface temperature, soil roughness, soil permittivity, and vegetation extinction and scattering have been developed. Among others, global maps of select radiative transfer parameters have been estimated very recently. Based on this intense activity, improvements of the SMOS and SMAP SM inversion algorithms have been proposed. Some of them have already been implemented, whereas others are currently being investigated. In this paper, we present a review of the significant progress which has been made over the last decade in this field of research with a focus on L-band, and a discussion on possible applications to the SMOS and SMAP soil moisture retrieval approaches.

  20. Soil Moisture Active and Passive (SMAP) White-Painted Expanded Polystyrene (EPS) Radome Survivability Test

    NASA Technical Reports Server (NTRS)

    Mikhaylov, Rebecca; Kwack, Eug; Stegman, Matthew; Dawson, Douglas; Hoffman, Pamela

    2015-01-01

    NASA's SMAP Mission launched in January 2015 into a 685 km near-polar, sun-synchronous orbit. The SMAP instrument architecture incorporates an L-band radar and radiometer which share a common feedhorn and mesh reflector. The instrument rotates about the nadir axis at approximately 15 rpm, thereby providing a conically scanning wide swath antenna beam that is capable of achieving global coverage within three days. The radiometer and its associated electronics have tight thermal stability requirements in order to meet the required surface emittance measurement precision from space. Maintaining the thermal stabilities is quite challenging because the radiometer is located on a spinning platform that can either be in full sunlight or eclipse, and thus exposed to a highly transient environment. Stability requirements were met by integrating a light-weight Expanded Polystyrene (EPS) radome into the design to prevent solar illumination of the feed horn interior. The radome was painted white since the thermo-optical properties of bare sunlit EPS degrade rapidly over the three-year mission. Milling of the EPS and solvent within the white paint created cavities on the EPS surface which may introduce localized hot spots possibly violating the EPS glass transition temperature of 96degC and leading to structural integrity concerns. A three-day thermal test was conducted in a vacuum chamber to verify survivability of the radome during a simulated non-spin fault condition at end of mission. A portable solar simulator illuminated the test article and the beam irradiance was kept nearly constant during the entire 50 hour test, except during the first hour which simulated the expected 79degC on-orbit surface temperature of the radome. The test article survived based on the established pass criteria for three separate metrics: dimensional, optical property, and color. If any hot spots exist locally, they did not cause any observable permanent deformation when compared to pre- and

  1. Reducing Earth Topography Resolution for SMAP Mission Ground Tracks Using K-Means Clustering

    NASA Technical Reports Server (NTRS)

    Rizvi, Farheen

    2013-01-01

    The K-means clustering algorithm is used to reduce Earth topography resolution for the SMAP mission ground tracks. As SMAP propagates in orbit, knowledge of the radar antenna footprints on Earth is required for the antenna misalignment calibration. Each antenna footprint contains a latitude and longitude location pair on the Earth surface. There are 400 pairs in one data set for the calibration model. It is computationally expensive to calculate corresponding Earth elevation for these data pairs. Thus, the antenna footprint resolution is reduced. Similar topographical data pairs are grouped together with the K-means clustering algorithm. The resolution is reduced to the mean of each topographical cluster called the cluster centroid. The corresponding Earth elevation for each cluster centroid is assigned to the entire group. Results show that 400 data points are reduced to 60 while still maintaining algorithm performance and computational efficiency. In this work, sensitivity analysis is also performed to show a trade-off between algorithm performance versus computational efficiency as the number of cluster centroids and algorithm iterations are increased.

  2. Validating SMAP L2/3 products

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) mission entered its one year calibration and validation (cal/val) phase in May, 2015. This began with a focus on instrument measurements, brightness temperature and backscatter, and has now evolved to the geophysical products that include three different spati...

  3. Integrating SMOS in SMAP Cal/Val

    USDA-ARS?s Scientific Manuscript database

    The NASA Soil Moisture Active Passive (SMAP, scheduled launch 2014) ESA Soil Moisture Ocean Salinity (SMOS, launched 2009) and satellite missions share two characteristics; both provide L-band brightness temperature and surface soil moisture at the same nominal spatial resolution and frequency. To d...

  4. Mission 119 passive microwave results

    NASA Technical Reports Server (NTRS)

    Hollinger, J. P.; Mennella, R. A.

    1972-01-01

    Passive microwave measurements of the sea surface were made for determining surface wind speeds from the NP3A aircraft (NASA-927). Observations were made at frequencies of 1.4, 10.6, and 31.4 GHz during NASA mission 119, undertaken off Bermuda in the vicinity of Argus Island sea tower during January 1970. Passive microwave observations from Argus Island ocean showed that the surface roughness effect, dependent on wind speed, is also dependent on observational frequency, increasing with increasing frequency. The roughness effect appears to be dominant for wind speeds less than 30 to 40 knots (2).

  5. SMAP Radar Processing and Calibration

    NASA Technical Reports Server (NTRS)

    West, R.; Jaruwatanadilok, S.; Kwoun, O.; Chaubell, M.

    2013-01-01

    The Soil Moisture Active Passive (SMAP) mission is part of the NASA space-based Earth observation program, and consists of an L-band radar and radiometer scheduled for launch into sun synchronous orbit in late 2014. A joint effort of the Jet Propulsion Laboratory (JPL) and the Goddard Space Flight Center (GSFC), the SMAP mission draws heavily on the design and risk reduction heritage of the Hydrosphere State (Hydros) mission [1], [2]. The SMAP science and applications objectives are to: 1) understand processes that link the terrestrial water, energy and carbon cycles, 2) estimate global water and energy fluxes at the land surface, 3) quantify net carbon flux in boreal landscapes, 4) enhance weather and climate forecast skill, and 5) develop improved flood prediction and drought monitoring capability. To meet these science objectives, SMAP ground processing will combine the attributes of the radar and radiometer observations (in terms of their spatial resolution and sensitivity to soil moisture, surface roughness, and vegetation) to estimate soil moisture with 4% volumetric accuracy at a resolution of 10 km, and freeze-thaw state at a resolution of 1-3 km. Model sensitivities translate the soil moisture accuracy to a radar backscatter accuracy of 1 dB (1 sigma) at 3 km resolution and a brightness temperature accuracy of 1.3 K at 40 km resolution. This paper will describe the level 1 radar processing and calibration challenges and the choices made so far for the algorithms and software implementation.

  6. SMAP Radar Processing and Calibration

    NASA Technical Reports Server (NTRS)

    West, R.; Jaruwatanadilok, S.; Kwoun, O.; Chaubell, M.

    2013-01-01

    The Soil Moisture Active Passive (SMAP) mission is part of the NASA space-based Earth observation program, and consists of an L-band radar and radiometer scheduled for launch into sun synchronous orbit in late 2014. A joint effort of the Jet Propulsion Laboratory (JPL) and the Goddard Space Flight Center (GSFC), the SMAP mission draws heavily on the design and risk reduction heritage of the Hydrosphere State (Hydros) mission [1], [2]. The SMAP science and applications objectives are to: 1) understand processes that link the terrestrial water, energy and carbon cycles, 2) estimate global water and energy fluxes at the land surface, 3) quantify net carbon flux in boreal landscapes, 4) enhance weather and climate forecast skill, and 5) develop improved flood prediction and drought monitoring capability. To meet these science objectives, SMAP ground processing will combine the attributes of the radar and radiometer observations (in terms of their spatial resolution and sensitivity to soil moisture, surface roughness, and vegetation) to estimate soil moisture with 4% volumetric accuracy at a resolution of 10 km, and freeze-thaw state at a resolution of 1-3 km. Model sensitivities translate the soil moisture accuracy to a radar backscatter accuracy of 1 dB (1 sigma) at 3 km resolution and a brightness temperature accuracy of 1.3 K at 40 km resolution. This paper will describe the level 1 radar processing and calibration challenges and the choices made so far for the algorithms and software implementation.

  7. Integration of SMAP and SMOS L-Band Observations

    NASA Technical Reports Server (NTRS)

    Bindlish, Rajat; Jackson, Thomas J.; Chan, Steven; Colliander, Andreas; Kerr, Yaan

    2017-01-01

    Soil Moisture Active Passive (SMAP) mission and the ESA Soil Moisture and Ocean Salinity (SMOS) missions provide brightness temperature and soil moisture estimates every 2-3 days. SMAP brightness temperature observations were compared with SMOS observations at 40 Degrees incidence angle. The brightness temperatures from the two missions are not consistent and have a bias of about 2.7K over land with respect to each other. SMAP and SMOS missions use different retrieval algorithms and ancillary datasets which result in further inconsistencies between the soil moisture products. The reprocessed constant-angle SMOS brightness temperatures were used in the SMAP soil moisture retrieval algorithm to develop a consistent multi-satellite product. The integrated product will have an increased global revisit frequency (1 day) and period of record that would be unattainable by either one of the satellites alone. Results from the development and validation of the integrated product will be presented.

  8. Soil Moisture Active/Passive (SMAP) L-band microwave radiometer post-launch calibration

    USDA-ARS?s Scientific Manuscript database

    The SMAP microwave radiometer is a fully-polarimetric L-band radiometer flown on the SMAP satellite in a 6 AM / 6 PM sun-synchronous orbit at 685-km altitude. Since April 2015, the radiometer has been under calibration and validation to assess the quality of the radiometer L1B data product. Calibrat...

  9. SMAP Data Assimilation at the GMAO

    NASA Technical Reports Server (NTRS)

    Reichle, R.; De Lannoy, G.; Liu, Q.; Ardizzone, J.

    2016-01-01

    The NASA Soil Moisture Active Passive (SMAP) mission has been providing L-band (1.4 GHz) passive microwave brightness temperature (Tb) observations since April 2015. These observations are sensitive to surface(0-5 cm) soil moisture. Several of the key applications targeted by SMAP, however, require knowledge of deeper-layer, root zone (0-100 cm) soil moisture, which is not directly measured by SMAP. The NASA Global Modeling and Assimilation Office (GMAO) contributes to SMAP by providing Level 4 data, including the Level 4 Surface and Root Zone Soil Moisture(L4_SM) product, which is based on the assimilation of SMAP Tb observations in the ensemble-based NASA GEOS-5 land surface data assimilation system. The L4_SM product offers global data every three hours at 9 km resolution, thereby interpolating and extrapolating the coarser- scale (40 km) SMAP observations in time and in space (both horizontally and vertically). Since October 31, 2015, beta-version L4_SM data have been available to the public from the National Snow and Ice Data Center for the period March 31, 2015, to near present, with a mean latency of approx. 2.5 days.

  10. Soil Moisture Active Passive (SMAP) L-Band Microwave Radiometer Post-Launch Calibration

    NASA Technical Reports Server (NTRS)

    Peng, Jinzheng; Piepmeier, Jeffrey R.; Misra, Sidharth; Dinnat, Emmanuel P.; Hudson, Derek; Le Vine, David M.; De Amici, Giovanni; Mohammed, Priscilla N.; Yueh, Simon H.; Meissner, Thomas

    2016-01-01

    The SMAP microwave radiometer is a fully-polarimetric L-band radiometer flown on the SMAP satellite in a 6 AM/ 6 PM sun-synchronous orbit at 685 km altitude. Since April, 2015, the radiometer is under calibration and validation to assess the quality of the radiometer L1B data product. Calibration methods including the SMAP L1B TA2TB (from Antenna Temperature (TA) to the Earth's surface Brightness Temperature (TB)) algorithm and TA forward models are outlined, and validation approaches to calibration stability/quality are described in this paper including future work. Results show that the current radiometer L1B data satisfies its requirements.

  11. SMAP Verification and Validation Project - Final Report

    NASA Technical Reports Server (NTRS)

    Murry, Michael

    2012-01-01

    In 2007, the National Research Council (NRC) released the Decadal Survey of Earth science. In the future decade, the survey identified 15 new space missions of significant scientific and application value for the National Aeronautics and Space Administration (NASA) to undertake. One of these missions was the Soil Moisture Active Passive (SMAP) mission that NASA assigned to the Jet Propulsion Laboratory (JPL) in 2008. The goal of SMAP1 is to provide global, high resolution mapping of soil moisture and its freeze/thaw states. The SMAP project recently passed its Critical Design Review and is proceeding with its fabrication and testing phase.Verification and Validation (V&V) is widely recognized as a critical component in system engineering and is vital to the success of any space mission. V&V is a process that is used to check that a system meets its design requirements and specifications in order to fulfill its intended purpose. Verification often refers to the question "Have we built the system right?" whereas Validation asks "Have we built the right system?" Currently the SMAP V&V team is verifying design requirements through inspection, demonstration, analysis, or testing. An example of the SMAP V&V process is the verification of the antenna pointing accuracy with mathematical models since it is not possible to provide the appropriate micro-gravity environment for testing the antenna on Earth before launch.

  12. SMAP Verification and Validation Project - Final Report

    NASA Technical Reports Server (NTRS)

    Murry, Michael

    2012-01-01

    In 2007, the National Research Council (NRC) released the Decadal Survey of Earth science. In the future decade, the survey identified 15 new space missions of significant scientific and application value for the National Aeronautics and Space Administration (NASA) to undertake. One of these missions was the Soil Moisture Active Passive (SMAP) mission that NASA assigned to the Jet Propulsion Laboratory (JPL) in 2008. The goal of SMAP1 is to provide global, high resolution mapping of soil moisture and its freeze/thaw states. The SMAP project recently passed its Critical Design Review and is proceeding with its fabrication and testing phase.Verification and Validation (V&V) is widely recognized as a critical component in system engineering and is vital to the success of any space mission. V&V is a process that is used to check that a system meets its design requirements and specifications in order to fulfill its intended purpose. Verification often refers to the question "Have we built the system right?" whereas Validation asks "Have we built the right system?" Currently the SMAP V&V team is verifying design requirements through inspection, demonstration, analysis, or testing. An example of the SMAP V&V process is the verification of the antenna pointing accuracy with mathematical models since it is not possible to provide the appropriate micro-gravity environment for testing the antenna on Earth before launch.

  13. A Prototype Land Information Sensor Web: Design, Implementation and Implication for the SMAP Mission

    NASA Astrophysics Data System (ADS)

    Su, H.; Houser, P.; Tian, Y.; Geiger, J. K.; Kumar, S. V.; Gates, L.

    2009-12-01

    developed and it is the very first sensor web framework developed especially for the land surface studies. Synthetic experiments based on the LISW-SOA and the virtual sensor web provide a controlled environment in which to examine the end-to-end performance of the prototype, the impact of various sensor web design trade-offs and the eventual value of sensor webs for a particular prediction or decision support. In this paper, the design, implementation of the LISW-SOA and the implication for the Soil Moisture Active and Passive (SMAP) mission is presented. Particular attention is focused on examining the relationship between the economic investment on a sensor web (space and air borne, ground based) and the accuracy of the model predicted soil moisture, which can be achieved by using such sensor observations. The Study of Virtual Land Information Sensor Web (LISW) is expected to provide some necessary a priori knowledge for designing and deploying the next generation Global Earth Observing System of systems (GEOSS).

  14. The SMAP Dictionary Management System

    NASA Technical Reports Server (NTRS)

    Smith, Kevin A.; Swan, Christoper A.

    2014-01-01

    The Soil Moisture Active Passive (SMAP) Dictionary Management System is a web-based tool to develop and store a mission dictionary. A mission dictionary defines the interface between a ground system and a spacecraft. In recent years, mission dictionaries have grown in size and scope, making it difficult for engineers across multiple disciplines to coordinate the dictionary development effort. The Dictionary Management Systemaddresses these issues by placing all dictionary information in one place, taking advantage of the efficiencies inherent in co-locating what were once disparate dictionary development efforts.

  15. The SMAP Dictionary Management System

    NASA Technical Reports Server (NTRS)

    Smith, Kevin A.; Swan, Christoper A.

    2014-01-01

    The Soil Moisture Active Passive (SMAP) Dictionary Management System is a web-based tool to develop and store a mission dictionary. A mission dictionary defines the interface between a ground system and a spacecraft. In recent years, mission dictionaries have grown in size and scope, making it difficult for engineers across multiple disciplines to coordinate the dictionary development effort. The Dictionary Management Systemaddresses these issues by placing all dictionary information in one place, taking advantage of the efficiencies inherent in co-locating what were once disparate dictionary development efforts.

  16. Radio-Frequency Interference (RFI) Mitigation for the Soil, Moisture Active/Passive (SMAP) Radiometer

    NASA Technical Reports Server (NTRS)

    Bradley, Damon; Brambora, Cliff; Wong, Mark Englin; Miles, Lynn; Durachka, David; Farmer, Brian; Mohammed, Priscilla; Piepmier, Jeff; Medeiros, Jim; Martin Neil; Garcia, Rafael

    2010-01-01

    The presence of anthropogenic RFI is expected to adversely impact soil moisture measurement by NASA s Soil Moisture Active Passive mission. The digital signal processing approach and preliminary design for detecting and mitigating this RFI is presented in this paper. This approach is largely based upon the work of Johnson and Ruf.

  17. NASA Soil Moisture Active Passive Mission Status and Science Performance

    NASA Technical Reports Server (NTRS)

    Yueh, Simon H.; Entekhabi, Dara; O'Neill, Peggy; Njoku, Eni; Entin, Jared K.

    2016-01-01

    The Soil Moisture Active Passive (SMAP) observatory was launched January 31, 2015, and its L-band radiometer and radar instruments became operational since mid-April 2015. The SMAP radiometer has been operating flawlessly, but the radar transmitter ceased operation on July 7. This paper provides a status summary of the calibration and validation of the SMAP instruments and the quality assessment of its soil moisture and freeze/thaw products. Since the loss of the radar in July, the SMAP project has been conducting two parallel activities to enhance the resolution of soil moisture products. One of them explores the Backus Gilbert optimum interpolation and de-convolution techniques based on the oversampling characteristics of the SMAP radiometer. The other investigates the disaggregation of the SMAP radiometer data using the European Space Agency's Sentinel-1 C-band synthetic radar data to obtain soil moisture products at about 1 to 3 kilometers resolution. In addition, SMAP's L-band data have found many new applications, including vegetation opacity, ocean surface salinity and hurricane ocean surface wind mapping. Highlights of these new applications will be provided.

  18. Using SMOS obervations for science development of the SMAP level 4 surface and root zone soil moisture algorithm

    USDA-ARS?s Scientific Manuscript database

    The NASA Soil Moisture Active and Passive (SMAP) mission is targeted for launch in October 2014. The soil moisture mapping provided by SMAP has practical applications in weather and seasonal climate prediction, agriculture, human health, drought and flood decision support. The Soil Moisture and Oc...

  19. Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model

    USDA-ARS?s Scientific Manuscript database

    Accurate global mapping of soil moisture is the goal of the Soil Moisture Active Passive (SMAP) mission, which is expected to improve the estimation of water, energy, and carbon exchanges between the land and the atmosphere. Like other satellite products, the SMAP soil moisture retrievals need to be...

  20. Development of a SMAP-Based Drought Monitoring Product

    NASA Astrophysics Data System (ADS)

    Sadri, S.; Wood, E. F.; Pan, M.; Lettenmaier, D. P.

    2016-12-01

    Agricultural drought is defined as a deficit in the amount of soil moisture over a prolonged period of time. Soil moisture information over time and space provides critical insight for agricultural management, including both water availability for crops and moisture conditions that affect management practices such as fertilizer, pesticide applications, and their impact as non-point pollution runoff. Since April of 2015, NASA's Soil Moisture Active Passive (SMAP) mission has retrieved soil moisture using L-band passive radiometric measurements at a 8 day repeat orbit with a swath of 1000 km that maps the Earth in 2-3 days depending on locations. Of particular interest to SMAP-based agricultural applications is a monitoring product that assesses the SMAP soil moisture in terms of probability percentiles for dry (drought) or wet (pluvial) conditions. SMAP observations do result in retrievals that are spatially and temporally discontinuous. Additionally, the short SMAP record length provides a statistical challenge in estimating a drought index and thus drought risk evaluations. In this presentation, we describe a SMAP drought index for the CONUS region based on near-surface soil moisture percentiles. Because the length of the SMAP data record is limited, we use a Bayesian conditional probability approach to extend the SMAP record back to 1979 based on simulated soil moisture of the same period from the Variable Infiltration Capacity (VIC) Land Surface Model (LSM), simulated by Princeton University. This is feasible because the VIC top soil layer (10 cm) is highly correlated with the SMAP 36 km passive microwave during 2015-2016, with more than half the CONUS grids having a cross-correlation greater than 0.6, and over 0.9 in many regions. Given the extended SMAP record, we construct an empirical probability distribution of near-surface soil moisture drought index showing severities similar to those used by the U.S. Drought Monitor (from D0-D4), for a specific SMAP

  1. SMAP Radar Data and Services at the ASF DAAC

    NASA Astrophysics Data System (ADS)

    Arko, S. A.; Dixon, I. R.; Wolf, V. G.

    2015-12-01

    In January 2015 NASA launched the Soil Moisture Active Passive (SMAP) spacecraft. SMAP's mission was to create high-resolution soil moisture and freeze-thaw products using the combination of an L-band polarimetric synthetic aperture radar (SAR) and an L-band radiometer. Two NASA Distributed Active Archive Centers (DAACs) were tasked with distribution of the SMAP data products. The Alaska Satellite Facility (ASF) DAAC was tasked to archive and distribute the SMAP radar products. In order to best support distribution of SMAP swath radar products and SMAP users, the ASF DAAC enhanced the DAAC data system in a number of ways that will be detailed in this presentation. SMAP radar data are unique for SAR in that they are provided as half-orbit swaths over 1000km wide. This presentation will focus on two primary areas of DAAC support for SMAP. First, the ASF data discovery client, Vertex, has been updated to better support SMAP SAR data. This included enhancements to the user interface to better support swath visualizations as well as increased search capability. Utilizing NASA's Common Metadata Repository (CMR), Vertex will allow users to download both the Level 1 SAR product as well as the higher-level products that it contributed to. In this way, the distributed nature of the data archives is better abstracted from the user experience and users have quick access to a greater variety of data. Beyond enabling data search, ASF DAAC is also supporting data utilization through the development of polar mosaics using the SAR data. SMAP is able to achieve nearly complete coverage of the Arctic north of 55 degrees every 24 hours. Based on the polarimetric SMAP data, Arctic mosaics are generated each day in geotiff format at a fixed grid spacing to allow for easy incorporation to existing workflows. Prototype ice motion products will also be shown that directly demonstrate the utility of these daily mosaics.

  2. RFI Study for the SMAP Radar

    NASA Technical Reports Server (NTRS)

    Chan, Samuel; Spencer, Michael

    2009-01-01

    The Soil Moisture Active/Passive (SMAP) mission has the scientific objective of measuring both soil moisture and freeze/thaw state from space. The mission will make both active radar and passive radiometer measurements at L-Band in order to retrieve soil moisture. Some studies, how-ever, indicated that these measurements are susceptible to radio frequency interference (RFI) in several geographic locations. As SMAP is a global mission and its mission life is 3 years, it is crucial for SMAP to understand the RFI over the whole globe and its temporal behavior. There will be impacts to the instrument system design and ground data processing in order to mitigate RFI. In this paper, strategies and procedures for performing this RFI study will be presented, and some results utilizing the RFI observed in the ALOS PALSAR data are described. The nature of the ob-served RFI is characterized and suggests some bands are relative free of RFI. The SMAP radar system will use a 1 MHz bandwidth, which can be placed within these suggested "clear" frequencies. The ALOS PALSAR data covers 28 MHz within the 80 MHz allocated for active L-Band remote sensing. In addition, an initial analysis with UAVSAR data, which uses the entire 80 MHz allocation, indicates the relative severity of RFI over the whole band. An algorithm to remove RFI is suggested and its performance is shown for some data from ALOS PALSAR and UAVSAR.

  3. Soil Moisture ActivePassive (SMAP) L-Band Microwave Radiometer Post-Launch Calibration

    NASA Technical Reports Server (NTRS)

    Peng, Jinzheng; Piepmeier, Jeffrey R.; Misra, Sidharth; Dinnat, Emmanuel P.; Hudson, Derek; Le Vine, David M.; De Amici, Giovanni; Mohammed, Priscilla N.; Yueh, Simon H.; Meissner, Thomas

    2016-01-01

    The SMAP microwave radiometer is a fully-polarimetric L-band radiometer flown on the SMAP satellite in a 6 AM/ 6 PM sun-synchronous orbit at 685 km altitude. Since April, 2015, the radiometer is under calibration and validation to assess the quality of the radiometer L1B data product. Calibration methods including the SMAP L1B TA2TB (from Antenna Temperature (TA) to the Earth’s surface Brightness Temperature (TB)) algorithm and TA forward models are outlined, and validation approaches to calibration stability/quality are described in this paper including future work. Results show that the current radiometer L1B data satisfies its requirements.

  4. Evaluation of SMAP Level 2 Soil Moisture Algorithms Using SMOS Data

    NASA Technical Reports Server (NTRS)

    Bindlish, Rajat; Jackson, Thomas J.; Zhao, Tianjie; Cosh, Michael; Chan, Steven; O'Neill, Peggy; Njoku, Eni; Colliander, Andreas; Kerr, Yann; Shi, J. C.

    2011-01-01

    The objectives of the SMAP (Soil Moisture Active Passive) mission are global measurements of soil moisture and land freeze/thaw state at 10 km and 3 km resolution, respectively. SMAP will provide soil moisture with a spatial resolution of 10 km with a 3-day revisit time at an accuracy of 0.04 m3/m3 [1]. In this paper we contribute to the development of the Level 2 soil moisture algorithm that is based on passive microwave observations by exploiting Soil Moisture Ocean Salinity (SMOS) satellite observations and products. SMOS brightness temperatures provide a global real-world, rather than simulated, test input for the SMAP radiometer-only soil moisture algorithm. Output of the potential SMAP algorithms will be compared to both in situ measurements and SMOS soil moisture products. The investigation will result in enhanced SMAP pre-launch algorithms for soil moisture.

  5. Validation of the SMAP Passive Soil Moisture Product in an Arctic Tundra Environment

    NASA Astrophysics Data System (ADS)

    Rowlandson, T. L.; Wrona, E. E.; Berg, A. A.; Nambiar, M.

    2016-12-01

    Over many remote regions, such as the Canadian tundra, little to no information is available for understanding soil moisture conditions due to a lack of monitoring by in situnetworks. SMAP will be essential to monitoring soil moisture conditions within these regions with applications for monitoring permafrost degradation and carbon exchange. Soil moisture products are currently being produced from SMAP over arctic regions, however there are few in situ observation networks available for validation of these products. The objective of this research is to evaluate of the SMAP 36km soil moisture product over an artic tundra region. During the summers of 2015 and 2016, a soil moisture-monitoring network was installed near Trail Valley Creek, approximately 50km north-east of Inuvik, NWT, in the Canadian Arctic Tundra. The network consisted of 10 soil moisture monitoring stations, with Stevens Hydra II probes installed horizontally at depths of 5 and 20cm. At each monitoring site a site and depth specific calibration was conducted. The SMAP soil moisture product is being derived on the EASE-2 Grid, which in lower latitudes, provides a 36x36km product. However, northern latitudes, this grid becomes very elongated, with pixel dimensions closer to 15km wide (in East-West direction) by 85km long, which is not representative of the areal measurement of the emitted microwave radiation. When compared to the network in 2015, there was no correlation between the network measured soil moisture and the SMAP radiometer-only soil moisture product. However, the brightness temperature product is currently available on the polar grid (a 36x36km grid for polar regions). For evaluation, the brightness temperature was modelled using the Community Microwave Emission Model (CMEM) and soil moisture, soil and vegetation characteristics observed from the in situ network. The correlation between the CMEM derived brightness temperature and the SMAP polar grid brightness temperature indicated

  6. Assessment of the Impacts of Radio Frequency Interference on SMAP Radar and Radiometer Measurements

    NASA Technical Reports Server (NTRS)

    Chen, Curtis W.; Piepmeier, Jeffrey R.; Johnson, Joel T.; Hirad Ghaemi

    2012-01-01

    The NASA Soil Moisture Active and Passive (SMAP) mission will measure soil moisture with a combination of Lband radar and radiometer measurements. We present an assessment of the expected impact of radio frequency interference (RFI) on SMAP performance, incorporating projections based on recent data collected by the Aquarius and SMOS missions. We discuss the impacts of RFI on the radar and radiometer separately given the differences in (1) RFI environment between the shared radar band and the protected radiometer band, (2) mitigation techniques available for the different measurements, and (3) existing data sources available that can inform predictions for SMAP.

  7. Automating the SMAP Ground Data System to Support Lights-Out Operations

    NASA Technical Reports Server (NTRS)

    Sanders, Antonio

    2014-01-01

    The Soil Moisture Active Passive (SMAP) Mission is a first tier mission in NASA's Earth Science Decadal Survey. SMAP will provide a global mapping of soil moisture and its freeze/thaw states. This mapping will be used to enhance the understanding of processes that link the terrestrial water, energy, and carbon cycles, and to enhance weather and forecast capabilities. NASA's Jet Propulsion Laboratory has been selected as the lead center for the development and operation of SMAP. The Jet Propulsion Laboratory (JPL) has an extensive history of successful deep space exploration. JPL missions have typically been large scale Class A missions with significant budget and staffing. SMAP represents a new area of JPL focus towards low cost Earth science missions. Success in this new area requires changes to the way that JPL has traditionally provided the Mission Operations System (MOS)/Ground Data System (GDS) functions. The operation of SMAP requires more routine operations activities and support for higher data rates and data volumes than have been achieved in the past. These activities must be addressed by a reduced operations team and support staff. To meet this challenge, the SMAP ground data system provides automation that will perform unattended operations, including automated commanding of the SMAP spacecraft.

  8. Five Things about NASA's SMAP

    NASA Image and Video Library

    2017-09-28

    The Soil Moisture Active Passive (SMAP) mission, scheduled for launch on Jan. 29, will measure the moisture in Earth's soil with greater accuracy and higher resolution than any preceding mission, producing a global map of soil moisture every three days. Here are five quick facts about the spacecraft and what it studies. 1. Soil moisture is a tiny fraction of water with a big punch. Only 0.001 percent of Earth's total water is lodged in the top few feet of soil. That tiny percentage, however, affects all living things on land and plays an important role in moving water, carbon and heat between land and atmosphere. 2. Soil moisture can compound water risks. A flood follows a heavy rainfall -- but only if the ground cannot soak up the rain. Waterlogged soil makes a region more flood-prone. Going to the opposite extreme, a drought can parch soil to such an extent that plants are unable to grow even after a few rains have fallen. Knowing soil moisture allows hydrologists to make better decisions related to the risk of flooding and drought, such as how much water to retain in reservoirs. 3. Soil moisture controls the on-off switch for carbon dioxide cleanup. The world's vast northern forests remove carbon dioxide from the air as they grow, helping to clean up our emissions from burning fossil fuels. But when the ground freezes, that process switches off. Carbon dioxide builds up in the atmosphere until the ground thaws in the spring and plants begin growing again. Knowing where and for how long the ground is frozen or thawed is an important part of understanding the role of the northern forests in reducing greenhouse warming. SMAP will map frozen and thawed soils north of 45 degrees north latitude (about the latitude of Minneapolis), around the globe. 4. SMAP is a twofer. The spacecraft's radiometer produces an accurate reading of how much moisture is in the top two inches (five centimeters) of soil, but it has low spatial resolution, that is, one measurement covers a

  9. SMAP Validation and Accuracy Assessment of Soil Moisture Products

    USDA-ARS?s Scientific Manuscript database

    Introduction: The Soil Moisture Active Passive (SMAP) mission was launched in January, 2015 and will begin its calibration and validation (Cal/Val) phase in May, 2015. This will begin with a focus on instrument measurements, brightness temperature and backscatter, and evolve to the geophysical produ...

  10. Assessment and Combination of SMAP with ASCAT (Active) and AMSR2 (Passive) Soil Moisture Products: A Case Study in Northeast Asia

    NASA Astrophysics Data System (ADS)

    Kim, H.; Parinussa, R.; Konings, A. G.; Wagner, W.; Cosh, M. H.; Choi, M.

    2016-12-01

    Global soil moisture products retrieved from active and passive microwave remote sensing are providing an effective way to monitor near real-time soil moisture content with near-daily temporal resolution. In the present study, we validated the Advanced Scatterometer (ASCAT), Advanced Microwave Scanning Radiometer 2 (AMSR2), and Soil Moisture Active Passive (SMAP) products in northeast Asia from March 31 to December 31, 2015, by using in situ soil moisture datasets during the growing and non-growing seasons considering their overpass time. The analysis was done for relative soil moisture datasets to investigate the impact of seasonal cycle on satellite-based soil moisture products. In the growing season, both ascending and descending ASCAT datasets showed the best performance in terms of correlation coefficient (R) values, having the lowest noise-to-signal ratio (NSR). In the non-growing season, both ascending and descending AMSR2 products had the highest R values while having the highest biases, root-mean-square difference (RMSD), and NSR. In addition, the daily ASCAT and AMSR2 products and half-orbit SMAP products were combined, one by one, based on the maximized R method with GLDAS soil moisture as a reference soil moisture value. The performances of individual and combined products were evaluated by different statistical metrics against the in situ dataset. Considering the relative soil moisture in the growing and non-growing seasons, the combination of ASCAT and AMSR2, ASCAT and SMAP, and AMSR2 and SMAP is showing improved accuracy compared to individual satellite (Figure). The results of this study provide an overview of ASCAT, AMSR2, and an early version of SMAP reliability and combined performance during the growing and non-growing season over a monsoon area located in Northeast Asia. Thereby also highlighting the advantages of the recently available SMAP dataset for the effective merging of different satellite products and uses in various

  11. SMAP Lift to CR

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians rotate NASA's Soil Moisture Active Passive, or SMAP, spacecraft to begin processing. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  12. SMAP Lift to CR

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians use a crane to move a component of NASA's Soil Moisture Active Passive, or SMAP, spacecraft for a lift by a crane. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  13. SMAP Spacecraft Offload

    NASA Image and Video Library

    2014-10-15

    NASA's Soil Moisture Active Passive, or SMAP, spacecraft is delivered by truck from the Jet Propulsion Laboratory in Pasadena, California, to the Astrotech payload processing facility on Vandenberg Air Force Base in California. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  14. SMAP Lift to CR

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians inspect NASA's Soil Moisture Active Passive, or SMAP, spacecraft. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  15. SMAP Lift to CR

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians remove a protective covering from NASA's Soil Moisture Active Passive, or SMAP, spacecraft. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  16. SMAP Lift to CR

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians begin processing of NASA's Soil Moisture Active Passive, or SMAP, spacecraft. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  17. Assessing pre-launch application feasibility using the SMAP science data system algorithm and application simulation testbed

    USDA-ARS?s Scientific Manuscript database

    Slated for launch in 2014, the NASA Soil Moisture Active/Passive mission represents a significant advance in our ability to globally observe time and space variations in surface soil moisture fields. The SMAP mission concept is based on the integrated use of L-band active radar and passive radiomet...

  18. RFI Mitigation and Detection for the SMAP Radar

    NASA Technical Reports Server (NTRS)

    Chan, Samuel; Fischman, Mark; Spencer, Michael

    2011-01-01

    The planned Soil Moisture Active Passive (SMAP) mission will use both active radar and passive radiometer instruments at L-Band to measure and monitor both soilmoisture and freeze/thaw state globally. The frequency band allocated for the SMAP radar is shared with the Global Navigation Satellite Systems and ground-basedradiolocation services. Signals from those users present significant sources of anthropogenic radio frequency interference (RFI) which contaminate the radarmeasurements. To mitigate RFI, the radar is designed with tunable operating frequency, which allows the center frequency to be tuned to avoid RFI. The filtering scheme in the receiver is configured to get a high level of RFI suppression. To meet the high accuracy measurement requirements, RFI detection and correction will be required during ground data processing. Some candidate algorithms have been evaluated, and they have been tested against simulated SMAP data derived from the PALSAR data.

  19. Evaluation of the SMAP radiometer lever 2 pre-launch soil moisture algorithms using SMOS data

    USDA-ARS?s Scientific Manuscript database

    The objectives of the upcoming SMAP (Soil Moisture Active Passive) satellite mission include global measurements of soil moisture at 40 km, 10 km and 3 km resolutions with a 3-day revisit time at an accuracy of 0.04 m3/m3. The 40 km resolution soil moisture product is based primarily on the passiv...

  20. SMAP Instrument Mechanical System Engineering

    NASA Technical Reports Server (NTRS)

    Slimko, Eric; French, Richard; Riggs, Benjamin

    2013-01-01

    The Soil Moisture Active Passive (SMAP) mission, scheduled for launch by the end of 2014, is being developed to measure the soil moisture and soil freeze/thaw state on a global scale over a three-year period. The accuracy, resolution, and global coverage of SMAP measurements are invaluable across many science and applications disciplines including hydrology, climate, carbon cycle, and the meteorological, environment, and ecology applications communities. The SMAP observatory is composed of a despun bus and a spinning instrument platform that includes both a deployable 6 meter aperture low structural frequency Astromesh reflector and a spin control system. The instrument section has engendered challenging mechanical system issues associated with the antenna deployment, flexible antenna pointing in the context of a multitude of disturbances, spun section mass properties, spin control system development, and overall integration with the flight system on both mechanical and control system levels. Moreover, the multitude of organizations involved, including two major vendors providing the spin subsystem and reflector boom assembly plus the flight system mechanical and guidance, navigation, and control teams, has led to several unique system engineering challenges. Capturing the key physics associated with the function of the flight system has been challenging due to the many different domains that are applicable. Key interfaces and operational concepts have led to complex negotiations because of the large number of organizations that integrate with the instrument mechanical system. Additionally, the verification and validation concerns associated with the mechanical system have had required far-reaching involvement from both the flight system and other subsystems. The SMAP instrument mechanical systems engineering issues and their solutions are described in this paper.

  1. SMAP Instrument Mechanical System Engineering

    NASA Technical Reports Server (NTRS)

    Slimko, Eric; French, Richard; Riggs, Benjamin

    2013-01-01

    The Soil Moisture Active Passive (SMAP) mission, scheduled for launch by the end of 2014, is being developed to measure the soil moisture and soil freeze/thaw state on a global scale over a three-year period. The accuracy, resolution, and global coverage of SMAP measurements are invaluable across many science and applications disciplines including hydrology, climate, carbon cycle, and the meteorological, environment, and ecology applications communities. The SMAP observatory is composed of a despun bus and a spinning instrument platform that includes both a deployable 6 meter aperture low structural frequency Astromesh reflector and a spin control system. The instrument section has engendered challenging mechanical system issues associated with the antenna deployment, flexible antenna pointing in the context of a multitude of disturbances, spun section mass properties, spin control system development, and overall integration with the flight system on both mechanical and control system levels. Moreover, the multitude of organizations involved, including two major vendors providing the spin subsystem and reflector boom assembly plus the flight system mechanical and guidance, navigation, and control teams, has led to several unique system engineering challenges. Capturing the key physics associated with the function of the flight system has been challenging due to the many different domains that are applicable. Key interfaces and operational concepts have led to complex negotiations because of the large number of organizations that integrate with the instrument mechanical system. Additionally, the verification and validation concerns associated with the mechanical system have had required far-reaching involvement from both the flight system and other subsystems. The SMAP instrument mechanical systems engineering issues and their solutions are described in this paper.

  2. SMOS/SMAP Synergy for SMAP Level 2 Soil Moisture Algorithm Evaluation

    NASA Technical Reports Server (NTRS)

    Bindlish, Rajat; Jackson, Thomas J.; Zhao, Tianjie; Cosh, Michael; Chan, Steven; O'Neill, Peggy; Njoku, Eni; Colliander, Andreas; Kerr, Yann

    2011-01-01

    Soil Moisture Active Passive (SMAP) satellite has been proposed to provide global measurements of soil moisture and land freeze/thaw state at 10 km and 3 km resolutions, respectively. SMAP would also provide a radiometer-only soil moisture product at 40-km spatial resolution. This product and the supporting brightness temperature observations are common to both SMAP and European Space Agency's Soil Moisture and Ocean Salinity (SMOS) mission. As a result, there are opportunities for synergies between the two missions. These include exploiting the data for calibration and validation and establishing longer term L-band brightness temperature and derived soil moisture products. In this investigation we will be using SMOS brightness temperature, ancillary data, and soil moisture products to develop and evaluate a candidate SMAP L2 passive soil moisture retrieval algorithm. This work will begin with evaluations based on the SMOS product grids and ancillary data sets and transition to those that will be used by SMAP. An important step in this analysis is reprocessing the multiple incidence angle observations provided by SMOS to a global brightness temperature product that simulates the constant 40 degree incidence angle observations that SMAP will provide. The reprocessed brightness temperature data provide a basis for evaluating different SMAP algorithm alternatives. Several algorithms are being considered for the SMAP radiometer-only soil moisture retrieval. In this first phase, we utilized only the Single Channel Algorithm (SCA), which is based on the radiative transfer equation and uses the channel that is most sensitive to soil moisture (H-pol). Brightness temperature is corrected sequentially for the effects of temperature, vegetation, roughness (dynamic ancillary data sets) and soil texture (static ancillary data set). European Centre for Medium-Range Weather Forecasts (ECMWF) estimates of soil temperature for the top layer (as provided as part of the SMOS

  3. SMAP RADAR Processing and Calibration

    NASA Astrophysics Data System (ADS)

    West, R. D.; Jaruwatanadilok, S.; Kwoun, O.; Chaubell, M. J.

    2013-12-01

    The Soil Moisture Active Passive (SMAP) mission uses L-band radar and radiometer measurements to estimate soil moisture with 4% volumetric accuracy at a resolution of 10 km, and freeze-thaw state at a resolution of 1-3 km. Model sensitivities translate the soil moisture accuracy to a radar backscatter accuracy of 1 dB at 3 km resolution and a brightness temperature accuracy of 1.3 K at 40 km resolution. This presentation will describe the level 1 radar processing and calibration challenges and the choices made so far for the algorithms and software implementation. To obtain the desired high spatial resolution the level 1 radar ground processor employs synthetic aperture radar (SAR) imaging techniques. Part of the challenge of the SMAP data processing comes from doing SAR imaging on a conically scanned system with rapidly varying squint angles. The radar echo energy will be divided into range/Doppler bins using time domain processing algorithms that can easily follow the varying squint angle. For SMAP, projected range resolution is about 250 meters, while azimuth resolution varies from 400 meters to 1.2 km. Radiometric calibration of the SMAP radar means measuring, characterizing, and where necessary correcting the gain and noise contributions from every part of the system from the antenna radiation pattern all the way to the ground processing algorithms. The SMAP antenna pattern will be computed using an accurate antenna model, and then validated post-launch using homogeneous external targets such as the Amazon rain forest to look for uncorrected gain variation. Noise subtraction is applied after image processing using measurements from a noise only channel. Variations of the internal electronics are tracked by a loopback measurement which will capture most of the time and temperature variations of the transmit power and receiver gain. Long-term variations of system performance due to component aging will be tracked and corrected using stable external reference

  4. Soil moisture retrieval in forest biomes: field experiment focus for SMAP 2018-2020 and beyond

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) project has made excellent progress in addressing the requirements and science goals of the primary mission. The primary mission baseline requirement is estimates of global surface soil moisture with an error of no greater than 4% volumetric (one sigma) exclud...

  5. SMAP Launch and Deployment Sequence

    NASA Image and Video Library

    This video combines file footage of a Delta II rocket and computer animation to depict the launch and deployment of NASA's Soil Moisture Active Passive satellite. SMAP is scheduled to launch on Nov...

  6. SMAP Gets Ready to Move

    NASA Image and Video Library

    2015-01-21

    In the Astrotech payload processing facility on Vandenberg Air Force Base in California, technicians secure a transportation canister around NASA Soil Moisture Active Passive SMAP spacecraft for its move to the launch pad.

  7. The Use of Modeling for Flight Software Engineering on SMAP

    NASA Technical Reports Server (NTRS)

    Murray, Alexander; Jones, Chris G.; Reder, Leonard; Cheng, Shang-Wen

    2011-01-01

    The Soil Moisture Active Passive (SMAP) mission proposes to deploy an Earth-orbiting satellite with the goal of obtaining global maps of soil moisture content at regular intervals. Launch is currently planned in 2014. The spacecraft bus would be built at the Jet Propulsion Laboratory (JPL), incorporating both new avionics as well as hardware and software heritage from other JPL projects. [4] provides a comprehensive overview of the proposed mission

  8. The Use of Modeling for Flight Software Engineering on SMAP

    NASA Technical Reports Server (NTRS)

    Murray, Alexander; Jones, Chris G.; Reder, Leonard; Cheng, Shang-Wen

    2011-01-01

    The Soil Moisture Active Passive (SMAP) mission proposes to deploy an Earth-orbiting satellite with the goal of obtaining global maps of soil moisture content at regular intervals. Launch is currently planned in 2014. The spacecraft bus would be built at the Jet Propulsion Laboratory (JPL), incorporating both new avionics as well as hardware and software heritage from other JPL projects. [4] provides a comprehensive overview of the proposed mission

  9. Characteristics and performance of L-band radar-based soil moisture retrievals using Soil Moisture Active Passive (SMAP) synthetic aperture radar observations

    NASA Astrophysics Data System (ADS)

    Kim, S.; Johnson, J. T.; Moghaddam, M.; Tsang, L.; Colliander, A.

    2016-12-01

    Surface soil moisture of the top 5-cm was estimated at 3-km spatial resolution using L-band dual-copolarized Soil Moisture Active Passive (SMAP) synthetic aperture radar (SAR) data that mapped the globe every three days from mid-April to early July, 2015. Radar observations of soil moisture offer the advantage of high spatial resolution, but have been challenging in the past due to the complicating factors of surface roughness and vegetation scattering. In this work, physically-based forward models of radar scattering for individual vegetation types are inverted using a time-series approach to retrieve soil moisture while correcting for the effects of roughness and dynamic vegetation. The predictions of the forward models used agree with SMAP measurements to within 0.5 dB unbiased-RMSE (root mean square error, ubRMSE) and -0.05 dB (bias). The forward models further allow the mechanisms of radar scattering to be examined to identify the sensitivity of radar scattering to soil moisture. Global patterns of the soil moistures retrieved by the algorithm generally match well with those from other satellite sensors. However biases exist in dry regions, and discrepancies are found in thick vegetation areas. The retrievals are compared with in situ measurements of soil moisture in locations characterized as cropland, grassland, and woody vegetation. Terrain slopes, subpixel heterogeneity, tillage practices, and vegetation growth influence the retrievals, but are largely corrected by the retrieval processes. Soil moisture retrievals agree with the in-situ measurements at 0.052 m3/m3 ubRMSE, -0.015 m3/m3 bias, and a correlation of 0.50. These encouraging retrieval results demonstrate the feasibility of a physically-based time-series retrieval with L-band SAR data for characterizing soil moisture over diverse conditions of soil moisture, surface roughness, and vegetation types. The findings are important for future L-band radar missions with frequent revisits that permit time

  10. Assimilation of Smos Observations to Generate a Prototype SMAP Level 4 Surface and Root-Zone Soil Moisture Product

    NASA Technical Reports Server (NTRS)

    Reichle, Rolf H.; De Lannoy, Gabrielle J. M.; Crow, Wade T.; Koster, Randal D.; Kimball, John

    2012-01-01

    The Soil Moisture Active and Passive (SMAP; [1]) mission is being implemented by NASA for launch in October 2014. The primary science objectives of SMAP are to enhance understanding of land surface controls on the water, energy and carbon cycles, and to determine their linkages. Moreover, the high-resolution soil moisture mapping provided by SMAP has practical applications in weather and seasonal climate prediction, agriculture, human health, drought and flood decision support. The Soil Moisture and Ocean Salinity (SMOS; [2]) mission was launched by ESA in November 2009 and has since been observing L-band (1.4 GHz) upwelling passive microwaves. In this paper we describe our use of SMOS brightness temperature observations to generate a prototype of the planned SMAP Level 4 Surface and Root-zone Soil Moisture (L4_SM) product [5].

  11. SMAP Disaggregation using Fine Resolution TIR Surface Evaporation Data over Continental United States

    NASA Astrophysics Data System (ADS)

    Griffin, R.; Mishra, V.; Ellenburg, W. L., II

    2016-12-01

    Soil moisture quantity, quality, and state are essential components of the hydrological and energy budgets. The amount of moisture in the soil determines a wide variety of hydrological, geotechnical, agricultural, and meteorological processes. Soil moisture can be estimated through ground based in-situ measurements; biophysical and land surface models or through remote sensing techniques. Microwave (MW) sensors have been used to estimate large scale soil moisture. The recently launched MW sensors Soil Moisture Active Passive (SMAP) is a mission dedicated towards global soil moisture mapping operating at L-band radiometer. The L-band MW radiometer spatial resolution is of the order of 36-40 km. While such spatial resolutions are acceptable for regional hydro-climatological studies, they are known to be too coarse for many specific hydro-meteorological and agricultural applications. Realizing this, the SMAP mission consisted of a coarse resolution L-band radiometer in addition to a finer resolution L-band radar on a single platform with the primary objective to develop an integrated active-passive soil moisture product at an intermediate resolution of 9-km with radiometer-like accuracy of 0.04 cm3/cm3. However the radar failed within three months of its operation and thus the possibilities of a finer resolution integrated product solely from the SMAP mission is highly unlikely. As an alternative, the disaggregation of 36km resolution SMAP SM was performed using the Soil Evaporative Efficiency (SEE) approach. The SEE was computed using TIR based surface actual and potential evaporation over the CONUS using the ALEXI model. The results were compared with the 3 months of high resolution SMAP data available. In comparison with 9-km SMAP data, the spatial and temporal correlations of the disaggregated 9-km SMAP product are found to be 0.69 and 0.79, respectively. Therefore, the SEE based disaggregation approach can be used as an alternate to the fine resolution SMAP

  12. Utilization of Ancillary Data Sets for SMAP Algorithm Development and Product Generation

    NASA Technical Reports Server (NTRS)

    ONeill, P.; Podest, E.; Njoku, E.

    2011-01-01

    Algorithms being developed for the Soil Moisture Active Passive (SMAP) mission require a variety of both static and ancillary data. The selection of the most appropriate source for each ancillary data parameter is driven by a number of considerations, including accuracy, latency, availability, and consistency across all SMAP products and with SMOS (Soil Moisture Ocean Salinity). It is anticipated that initial selection of all ancillary datasets, which are needed for ongoing algorithm development activities on the SMAP algorithm testbed at JPL, will be completed within the year. These datasets will be updated as new or improved sources become available, and all selections and changes will be documented for the benefit of the user community. Wise choices in ancillary data will help to enable SMAP to provide new global measurements of soil moisture and freeze/thaw state at the targeted accuracy necessary to tackle hydrologically-relevant societal issues.

  13. Applications of SMAP data to retrieval of ocean surface wind and salinity

    NASA Astrophysics Data System (ADS)

    Yueh, Simon; Fore, Alexander; Tang, Wenqing; Hayashi, Akiko; Stiles, Bryan; Zhang, Fuqing; Weng, Yonghui; Real, Nicolas

    2016-10-01

    We have examined the L-band radiometer and radar data from NASA's Soil Moisture Active Passive (SMAP) mission for ocean research and applications. We find that the SMAP data are in excellent agreement with the geophysical model function (GMF) derived from the Aquarius data up to a wind speed of 20 ms-1. For severe wind conditions, the higher resolution data from SMAP allowed us to assess the sensitivity of L-band radiometer signals to hurricane force winds. We applied the L-band GMF to the retrieval of ocean surface wind and SSS from the SMAP data. Comparison with the European Center for Medium-Range Weather Forecasting, WindSat and RapidSCAT wind speeds suggests that SMAP's radiometer wind speed reaches an excellent accuracy of about 1.1-1.7 ms-1 below a wind speed of 20 ms-1. We have also found that the maximum wind speed derived from the SMAP radiometer data can reach 140 knots for severe storms and are generally in good agreement with the hurricane track analysis and operational aircraft Stepped Frequency Microwave Radiometer wind speeds. The spatial patterns of the SMAP SSS agree well with climatological distributions, but exhibit several unique spatial and temporal features.

  14. Recalibration and Validation of the SMAP L-Band Radiometer

    NASA Technical Reports Server (NTRS)

    Peng, Jinzheng; Piepmeier, Jeffrey; Le Vine, David M.; Dinnat, Emmanuel; Bindlish, Rajat; De amici, Giovanni; Mohammed, Priscilla; Misra, Sidharth; Yueh, Simon; Meissner, Thomas

    2017-01-01

    SMAP mission was launched on 31st January 2015 in a 6 AM 6 PM sun-synchronous orbit at 685 km altitude to measure soil moisture and freethaw globally. The passive instrument of SMAP is a fully polarimetric L-band radiometer (1.4GHz) operating with a bandwidth of 24MHz. The radiometer L1B data product version 3 has been released for public science activities. Post-launch calibration and validation activities are described in [4,5]. Validation results show that SMAP antenna temperature (TA) is 2.6 K warmer over galactic Cold Sky (CS), and land TB is 2.6 K colder comparing to SMOS land TB (compared at the top of the atmosphere) after the update of the reflectors thermal model. Due to the biases, the SMAP radiometer is under re-calibration for next data release in 2018.We present the updated calibration approaches for the SMAP radiometer product. We will discuss the various radiometer calibration parameters and part of the validation process and result.

  15. An initial assessment of SMAP soil moisture retrievals using high-resolution model simulations and in situ observations

    NASA Astrophysics Data System (ADS)

    Pan, Ming; Cai, Xitian; Chaney, Nathaniel W.; Entekhabi, Dara; Wood, Eric F.

    2016-09-01

    At the end of its first year of operation, we compare soil moisture retrievals from the Soil Moisture Active Passive (SMAP) mission to simulations from a land surface model with meteorological forcing downscaled from observations/reanalysis and in situ observations from sparse monitoring networks within continental United States (CONUS). The radar failure limits the duration of comparisons for the active and combined products (~3 months). Nevertheless, the passive product compares very well against in situ observations over CONUS. On average, SMAP compares to the in situ data even better than the land surface model and provides significant added value on top of the model and thus good potential for data assimilation. At large scale, SMAP is in good agreement with the model in most of CONUS with less-than-expected degradation over mountainous areas. Lower correlation between SMAP and the model is seen in the forested east CONUS and significantly lower over the Canadian boreal forests.

  16. SMAP RADAR Calibration and Validation

    NASA Astrophysics Data System (ADS)

    West, R. D.; Jaruwatanadilok, S.; Chaubel, J.

    2014-12-01

    The Soil Moisture Active Passive (SMAP) mission is planned to launch on Jan 8, 2015. The mission employs L-band radar and radiometer measurements to estimate soil moisture with 4% volumetric accuracy at a resolution of 10 km, and freeze-thaw state at a resolution of 1-3 km. Immediately following launch, there will be a 3 month instrument checkout period, followed by 6 months of level 1 (L1) calibration and validation. In this presentation, we will discuss the plans and preparations for the calibration and validation of L1 radar data from SMAP. At the start of the L1 cal/val period, we will validate the operation of the instrument and of the ground processing using tools that look at readily identifiable surface features such as coast lines and corner reflectors. Geometric biases will be fit and removed. Radiometric cross-calibration with PALSAR and Aquarius will also be performed using target regions in the Amazon rain forest selected for their stability and uniformity. As the L1 cal/val period progresses, the performance of the automated short and long term calibration modules in ground processing will be tracked and verified using data from stable reference targets such as the wind corrected ocean and selected areas of rain forest that have shown good temporal stability. The performance of the radio frequency interference (RFI) removal algorithm will be validated by processing data with the algorithm turned on and off, and using different parameter settings. Additional information on the extent of RFI will be obtained from a special RFI survey conducted early in the L1 cal/val period. Radar transmissions are turned off during the RFI survey, and receive only data are collected over a variety of operating frequencies. The model based Faraday rotation corrections will also be checked during the L1 cal/val by comparing the model Faraday rotation with the measured Faraday rotation obtained by the SMAP Radiometer. This work is supported by the SMAP project at the Jet

  17. SMAP L2/L3 Soil moisture product validation with core validation sites

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) mission was launched by NASA in January, 2015 and entered its one year calibration and validation (cal/val) phase in May, 2015. This began with a focus on instrument measurements, brightness temperature and backscatter, and has now evolved to the geophysical p...

  18. The SMAP In Situ Soil Moisture Sensor Testbed: Comparing in situ sensors for satellite validation

    USDA-ARS?s Scientific Manuscript database

    One of the most valuable tools in validating satellite based soil moisture estimates, such as those from the Soil Moisture Active Passive (SMAP) mission are large scale in situ networks. Global validation involves networks operated by many different organizations. Existing in situ soil moisture netw...

  19. Validation of the Soil Moisture Active Passive mission using USDA-ARS experimental watersheds

    NASA Astrophysics Data System (ADS)

    Cosh, M. H.; Jackson, T. J.; Bindlish, R.; Colliander, A.; Kim, S.; Das, N. N.; Yueh, S. H.; Bosch, D. D.; Goodrich, D. C.; Prueger, J. H.; Starks, P. J.; Livingston, S.; Seyfried, M. S.; Coopersmith, E. J.

    2015-12-01

    The calibration and validation program of the Soil Moisture Active Passive mission (SMAP) relies upon an international cooperative of in situ networks to provide ground truth references across a variety of landscapes. The USDA Agricultural Research Service operates several experimental watersheds which contribute to the validation of SMAP soil moisture products. These watersheds consist of a network of in situ sensors that measure soil moisture at a variety of depths including the 5 cm depth, which is critical for satellite validation. Comparisons of the in situ network estimates to the satellite products are ongoing, but initial results have shown strong correlation between satellite estimates and in situ soil moisture measurements once scaling functions were applied. The scaling methodologies for the in situ networks are being reviewed and evaluated. Results from the Little Washita, Fort Cobb, St. Joseph's and Little River Experimental Watersheds show good agreement between the satellite products and in situ measurements. Walnut Gulch results show high accuracy, although with the caveat that these domains are semi-arid with a substantially lower dynamic range. The South Fork Watershed is examined more closely for its detailed scaling function development as well as an apparent bias between satellite and in situ values.

  20. Launch Vehicle Selection and the Implementation of the Soil Moisture Active Passive Mission

    NASA Technical Reports Server (NTRS)

    Sherman, Sarah; Waydo, Peter; Eremenko, Alexander

    2016-01-01

    Soil Moisture Active Passive (SMAP) is a NASA-developed Earth science satellite currently mapping the soil moisture content and freeze/thaw state of Earth's land mass from a 685km, near-polar, sun-synchronous orbit. It was launched on January 31, 2015 from Vandenberg AFB upon a Delta II 7320 launch vehicle. Due to external considerations, SMAP's launch vehicle selection remained an open item until Project Critical Design Review (CDR). Thus, certain key aspects of the spacecraft design had to accommodate a diverse range of candidate launch vehicle environments, performance envelopes, interfaces and operational scenarios. Engineering challenges stemmed from two distinct scenarios: decisions that had to be made prior to launch vehicle selection to accommodate all possible outcomes, and post-selection changes constrained by schedule and the existing spacecraft configuration. The effects of the timing of launch vehicle selection reached virtually every aspect of the Observatory's design and development. Physical environments, mass allocations, material selections, propulsion system performance, dynamic response, launch phase and mission planning, overall size and configuration, and of course all interfaces to the launch vehicle were heavily dependent on this outcome. This paper will discuss the resolution of these technical challenges.

  1. Automated Commanding of the SMAP Spacecraft Enables Efficient, Reliable, and Responsive Operations

    NASA Technical Reports Server (NTRS)

    Swan, Christopher

    2016-01-01

    The Soil Moisture Active Passive (SMAP) mission developed and deployed a system to autonomously handle most routine commanding of the observatory. This system of ground software is able to build commands, validate them, and radiate the commands to the spacecraft, all without human interaction. In the case of an off -nominal scenario, the system will abort gracefully and notify the mission operations team of the problem. The system was phased into operations during the first three months of the SMAP mission and handles over 90% of the weekly commanding of the vehicle. The gradual introduction of the automation in flight, along with an extensive test campaign, was instrumental in the success of the software. The automation has enabled substantial efficiencies in operations team staffing and has improved reliability by removing the potential for human error. The system also allows the SMAP project to be more responsive which has shown significant benefits in areas of data latency and science accuracy.

  2. NASA Soil Moisture Active Passive Mission Status and Science Highlights

    NASA Technical Reports Server (NTRS)

    Yueh, Simon; Entekhabi, Dara; O'Neill, Peggy; Entin, Jared

    2017-01-01

    The Soil Moisture Active Passive (SMAP) observatory was launched January 31, 2015, and its L-band radiometer and radar instruments became operational during April 2015. This paper provides a summary of the quality assessment of its baseline soil moisture and freeze/thaw products as well as an overview of new products. The first new product explores the Backus Gilbert optimum interpolation based on the oversampling characteristics of the SMAP radiometer. The second one investigates the disaggregation of the SMAP radiometer data using the European Space Agency's Sentinel-1 C-band synthetic aperture radar (SAR) data to obtain soil moisture products at about 1 to 3 km resolution. In addition, SMAPs L-band data have been found useful for many scientific applications, including depictions of water cycles, vegetation opacity, ocean surface salinity and hurricane ocean surface wind mapping. Highlights of these new applications will be provided.The SMAP soil moisture, freeze/taw state and SSSprovide a synergistic view of water cycle. For example, Fig.7 illustrates the transition of freeze/thaw state, change of soilmoisture near the pole and SSS in the Arctic Ocean fromApril to October in 2015 and 2016. In April, most parts ofAlaska, Canada, and Siberia remained frozen. Melt onsetstarted in May. Alaska, Canada, and a big part of Siberia havebecome thawed at the end of May; some freshwater dischargecould be found near the mouth of Mackenzie in 2016, but notin 2015. The soil moisture appeared to be higher in the Oband Yenisei river basins in Siberia in 2015. As a result,freshwater discharge was more widespread in the Kara Seanear the mouths of both rivers in June 2015 than in 2016. TheNorth America and Siberia have become completely thawedin July. After June, the freshwater discharge from other riversinto the Arctic, indicated by blue, also became visible. Thefreeze-up started in September and the high latitude regionsin North America and Eurasia became frozen. Comparing

  3. Tropical Cyclones Wind Measurements with the SMAP L-Band Radiometer

    NASA Astrophysics Data System (ADS)

    Ricciardulli, L.; Meissner, T.; Wentz, F. J.

    2016-12-01

    The Soil Moisture Active Passive Mission SMAP was launched in January 2015 and has been providing science data since April 2015. Though designed to measure soil moisture, the SMAP radiometer has an excellent capability to measure ocean winds in tropical cyclones at a resolution of 40 km, with a swath width of 1000 km. The L-band radiometer V-pol and H-pol channels keep very good sensitivity to ocean surface wind speed even at very high wind speeds and they are only little impacted by rain. We briefly discuss the major features of the SMAP sensor, the geophysical model function that is used in the ocean vector wind retrieval and the basic steps of the retrieval algorithm. We will then illustrate the capability of this instrument to observe very high surface winds by comparing them to other validation datasets. The most important validation source is NOAA's airborne Step Frequency Microwave Radiometer SFMR, whose wind speeds were collocated with SMAP in space and time and resampled to the SMAP resolution. A comparison between SMAP and SFMR winds in hurricanes of the 2015 season, including Patricia, shows excellent correlation over a wide wind speed range (15 - 70 m/s) and no degradation in rain. This agreement is unique and gives SMAP a distinct advantage over many other space-borne sensors such as C-band or Ku-band scatterometers or radiometers, which either lose sensitivity at very high winds or degrade in rainy conditions. We will analyze the SMAP surface winds during the full evolution of the storms in recent intense tropical cyclones (Patricia, Winston, Fantala, and Nepartak) and compare them with wind measurements from ASCAT, RapidScat, and WindSat, with the NCEP wind fields, and with the best track data from the Joint Typhoon Warning Center.The SMAP wind data are available as twice-daily 0.25 deg gridded maps at www.remss.com.

  4. SMAP Spacecraft Arrives at Astrotech

    NASA Image and Video Library

    2014-10-14

    NASA's Soil Moisture Active Passive, or SMAP, spacecraft is delivered by truck to the Astrotech payload processing facility on Vandenberg Air Force Base in California. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  5. SMAP Spacecraft Arrives at Astrotech

    NASA Image and Video Library

    2014-10-14

    Workers push the pallet supporting the transportation container protecting NASA's Soil Moisture Active Passive, or SMAP, spacecraft into the Astrotech payload processing facility on Vandenberg Air Force Base in California. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  6. SMAP Spacecraft Arrives at Astrotech

    NASA Image and Video Library

    2014-10-14

    The truck transporting NASA's Soil Moisture Active Passive, or SMAP, spacecraft arrives at the Astrotech payload processing facility on Vandenberg Air Force Base in California. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  7. SMAP validation of soil moisture products

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) satellite will be launched by the National Aeronautics and Space Administration in October 2014. SMAP will also incorporate a rigorous calibration and validation program that will support algorithm refinement and provide users with information on the accuracy ...

  8. Towards Validation of SMAP: SMAPEX-4 & -5

    NASA Technical Reports Server (NTRS)

    Ye, Nan; Walker, Jeffrey; Wu, Xiaoling; Jackson, Thomas; Renzullo, Luigi; Merlin, Olivier; Rudiger, Christoph; Entekhabi, Dara; DeJeu, Richard; Kim, Edward

    2016-01-01

    The L-band (1 - 2 GHz) microwave remote sensing has been widely acknowledged as the most promising method to monitor regional to global soil moisture. Consequently, the Soil Moisture Active Passive (SMAP) satellite applied this technique to provide global soil moisture every 2 to 3 days. To verify the performance of SMAP, the fourth and fifth campaign of SMAP Experiments (SMAPEx-4 -5) were carried out at the beginning of the SMAP operational phase in the Murrumbidgee River catchment, southeast Australia. The airborne radar and radiometer observations together with ground sampling on soil moisture, vegetation water content, and surface roughness were collected in coincidence with SMAP overpasses. The SMAPEx-4 and -5 data sets will benefit to SMAP post-launch calibration andvalidation under Australian land surface conditions.

  9. Seasonal Parameterizations of the Tau-Omega Model Using the ComRAD Ground-Based SMAP Simulator

    NASA Technical Reports Server (NTRS)

    O'Neill, P.; Joseph, A.; Srivastava, P.; Cosh, M.; Lang, R.

    2014-01-01

    NASA's Soil Moisture Active Passive (SMAP) mission is scheduled for launch in November 2014. In the prelaunch time frame, the SMAP team has focused on improving retrieval algorithms for the various SMAP baseline data products. The SMAP passive-only soil moisture product depends on accurate parameterization of the tau-omega model to achieve the required accuracy in soil moisture retrieval. During a field experiment (APEX12) conducted in the summer of 2012 under dry conditions in Maryland, the Combined Radar/Radiometer (ComRAD) truck-based SMAP simulator collected active/passive microwave time series data at the SMAP incident angle of 40 degrees over corn and soybeans throughout the crop growth cycle. A similar experiment was conducted only over corn in 2002 under normal moist conditions. Data from these two experiments will be analyzed and compared to evaluate how changes in vegetation conditions throughout the growing season in both a drought and normal year can affect parameterizations in the tau-omega model for more accurate soil moisture retrieval.

  10. An Evaluation of Antarctica as a Calibration Target for Passive Microwave Satellite Missions

    NASA Technical Reports Server (NTRS)

    Kim, Edward

    2012-01-01

    Passive microwave remote sensing at L-band (1.4 GHz) is sensitive to soil moisture and sea surface salinity, both important climate variables. Science studies involving these variables can now take advantage of new satellite L-band observations. The first mission with regular global passive microwave observations at L-band is the European Space Agency's Soil Moisture and Ocean Salinity (SMOS), launched November, 2009. A second mission, NASA's Aquarius, was launched June, 201l. A third mission, NASA's Soil Moisture Active Passive (SMAP) is scheduled to launch in 2014. Together, these three missions may provide a decade-long data record -- provided that they are intercalibrated. The intercalibration is best performed at the radiance (brightness temperature) level, and Antarctica is proving to be a key calibration target. However, Antarctica has thus far not been fully characterized as a potential target. This paper will present evaluations of Antarctica as a microwave calibration target for the above satellite missions. Preliminary analyses have identified likely target areas, such as the vicinity of Dome-C and larger areas within East Antarctica. Physical sources of temporal and spatial variability of polar firn are key to assessing calibration uncertainty. These sources include spatial variability of accumulation rate, compaction, surface characteristics (dunes, micro-topography), wind patterns, and vertical profiles of density and temperature. Using primarily SMOS data, variability is being empirically characterized and attempts are being made to attribute observed variability to physical sources. One expected outcome of these studies is the potential discovery of techniques for remotely sensing--over all of Antarctica--parameters such as surface temperature.

  11. Experimental High Resolution (3 km) SMAP Soil Moisture Data Fields With Uncertainty Estimates

    NASA Astrophysics Data System (ADS)

    Das, N. N.

    2015-12-01

    NASA's Soil Moisture Active Passive (SMAP) mission was launched on January 31st, 2015. The objective of the mission is global mapping of surface soil moisture and landscape freeze/thaw state. SMAP utilizes an L-band radar and radiometer sharing a rotating 6-meter mesh reflector antenna. The SMAP spacecraft is in a 685-km Sun-synchronous near-polar orbit, and viewing the surface at a constant 40-degree incidence angle with a 1000-km swath width. Merging of the high-resolution active (radar) and coarse-resolution but high-sensitivity passive (radiometer) L-band observations enable an unprecedented combination of accuracy, resolution, coverage and revisit-time for soil moisture and freeze/thaw state retrievals. However, on July 7th, 2015, the SMAP radar encountered an anomaly and is currently inoperable. Efforts are being made to revive the SMAP radar. Due to the present status of the SMAP observatory, nearly ~2.5 months (from the end of In-Orbit-Check April 13th, 2015 to July 7th, 2015) of the SMAP Active Passive product will be available to public through the NASA DAAC at National Snow and Ice Data Center (NSIDC). The baseline L2_SM_AP product is retrieved soil moisture from the disaggregated/downscaled brightness temperature obtained by merging the coarse-resolution (~36 km) radiometer brightness temperature data and the high-resolution (~3 km) radar backscatter data. The baseline product is intermediate scale 9 km global soil moisture information. Experimentally, a much higher resolution global surface soil moisture data set is also produced at 3 km. This experimental product covering the 2.5 Spring/Summer months is the focus of this presentation. We specifically focus on the analysis of errors and reliability of this data set. The errors in disaggregated brightness temperatures and the retrived soil moisture estimates are discussed. In the presentation the accuracies of the SMAP L2-SM_AP soil moisture retrievals will be shown using summary comparisons with in

  12. Development of the Large Aperture Reflector/Boom Assembly for the SMAP Spacecraft

    NASA Technical Reports Server (NTRS)

    Mobrem, Mehran; Keay, Edward; Marks, Geoff; Slimko, Eric

    2012-01-01

    The Jet Propulsion Laboratory's (JPL) Soil Moisture Active/Passive (SMAP) mission is to measure and monitor global soil moisture dynamics and freeze/thaw states. The rotating Reflector and Boom Assembly (RBA) on SMAP presents significant design and development challenges. The payload configuration utilizes a common Radiometer and Radar feedhorn and a 6-meter deployable mesh reflector all spinning at 14.6 rpm. The evolution of the RBA system solution, development of the mass properties management approach and RBA dynamics are discussed.

  13. SMAP RADAR Calibration and Validation

    NASA Astrophysics Data System (ADS)

    West, R. D.; Jaruwatanadilok, S.; Chaubel, M. J.; Spencer, M.; Chan, S. F.; Chen, C. W.; Fore, A.

    2015-12-01

    The Soil Moisture Active Passive (SMAP) mission launched on Jan 31, 2015. The mission employs L-band radar and radiometer measurements to estimate soil moisture with 4% volumetric accuracy at a resolution of 10 km, and freeze-thaw state at a resolution of 1-3 km. Immediately following launch, there was a three month instrument checkout period, followed by six months of level 1 (L1) calibration and validation. In this presentation, we will discuss the calibration and validation activities and results for the L1 radar data. Early SMAP radar data were used to check commanded timing parameters, and to work out issues in the low- and high-resolution radar processors. From April 3-13 the radar collected receive only mode data to conduct a survey of RFI sources. Analysis of the RFI environment led to a preferred operating frequency. The RFI survey data were also used to validate noise subtraction and scaling operations in the radar processors. Normal radar operations resumed on April 13. All radar data were examined closely for image quality and calibration issues which led to improvements in the radar data products for the beta release at the end of July. Radar data were used to determine and correct for small biases in the reported spacecraft attitude. Geo-location was validated against coastline positions and the known positions of corner reflectors. Residual errors at the time of the beta release are about 350 m. Intra-swath biases in the high-resolution backscatter images are reduced to less than 0.3 dB for all polarizations. Radiometric cross-calibration with Aquarius was performed using areas of the Amazon rain forest. Cross-calibration was also examined using ocean data from the low-resolution processor and comparing with the Aquarius wind model function. Using all a-priori calibration constants provided good results with co-polarized measurements matching to better than 1 dB, and cross-polarized measurements matching to about 1 dB in the beta release. During the

  14. The SMAP Level 4 Surface and Root Zone Soil Moisture data assimilation product

    NASA Astrophysics Data System (ADS)

    Reichle, R. H.; De Lannoy, G. J. M.; Crow, W. T.; Kimball, J. S.; Koster, R. D.; Liu, Q.

    2014-12-01

    The NASA Soil Moisture Active Passive (SMAP) mission is scheduled for launch in January 2015 and will provide L-band radar and radiometer observations that are sensitive to surface soil moisture (in the top few centimeters of the soil column). For several of the key applications targeted by SMAP, however, knowledge of root zone soil moisture (defined here nominally as soil moisture in the top 1 m of the soil column) is needed. The SMAP mission will therefore provide a value-added Level 4 Surface and Root Zone Soil Moisture (L4_SM) product with the two key objectives: (i) to provide estimates of root zone soil moisture based on SMAP observations, and (ii) to provide a global surface and root zone soil moisture product that is spatially and temporally complete. The L4_SM algorithm uses an ensemble Kalman filter (EnKF) to merge SMAP observations with soil moisture estimates from the NASA GEOS-5 Catchment land surface model. The model describes the vertical transfer of soil moisture between the surface and root zone reservoirs and will be driven with observation-based surface meteorological forcing data, including precipitation, on a global 9 km Earth-fixed grid. The presentation provides an overview of the SMAP L4_SM algorithm and pre-launch validation. Specifically, an L4_SM prototype product based on the assimilation of observations from the Soil Moisture and Ocean Salinity (SMOS) mission was validated using in situ measurements from SMAP core validation sites (densely instrumented watersheds) and from more than 100 single-profile sensors scattered across the United States. The validation results indicate that the prototype soil moisture product satisfies the formal RMSE requirement for the L4_SM product of 0.04 m3/m3 (after removal of the long-term mean bias). An examination of the observation-minus-forecast residuals from the L4_SM system suggests where the system could be improved further.

  15. Some Issues in Validating Satellite-based Soil Moisture Retrievals with In Situ Observations and Their Impact on SMAP Validation

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) satellite is scheduled for launch in the fall of 2014. As the first of NASA’s Decadal Survey missions, efforts are being made to implement both best practices and innovations, which include calibration and validation of the remote sensing products (Cal/Val). ...

  16. SMAP Validation Experiment 2015 (SMAPVEX15)

    NASA Astrophysics Data System (ADS)

    Colliander, A.; Jackson, T. J.; Cosh, M. H.; Misra, S.; Crow, W. T.; Chae, C. S.; Moghaddam, M.; O'Neill, P. E.; Entekhabi, D.; Yueh, S. H.

    2015-12-01

    NASA's (National Aeronautics and Space Administration) Soil Moisture Active Passive (SMAP) mission was launched in January 2015. The objective of the mission is global mapping of soil moisture and freeze/thaw state. For soil moisture algorithm validation, the SMAP project and NASA coordinated SMAPVEX15 around the Walnut Gulch Experimental Watershed (WGEW) in Tombstone, Arizona on August 1-19, 2015. The main goals of SMAPVEX15 are to understand the effects and contribution of heterogeneity on the soil moisture retrievals, evaluate the impact of known RFI sources on retrieval, and analyze the brightness temperature product calibration and heterogeneity effects. Additionally, the campaign aims to contribute to the validation of GPM (Global Precipitation Mission) data products. The campaign will feature three airborne microwave instruments: PALS (Passive Active L-band System), UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar) and AirMOSS (Airborne Microwave Observatory of Subcanopy and Subsurface). PALS has L-band radiometer and radar, and UAVSAR and AirMOSS have L- and P-band synthetic aperture radars, respectively. The PALS instrument will map the area on seven days coincident with SMAP overpasses; UAVSAR and AirMOSS on four days. WGEW was selected as the experiment site due to the rainfall patterns in August and existing dense networks of precipitation gages and soil moisture sensors. An additional temporary network of approximately 80 soil moisture stations was deployed in the region. Rainfall observations were supplemented with two X-band mobile scanning radars, approximately 25 tipping bucket rain gauges, three laser disdrometers, and three vertically-profiling K-band radars. Teams were on the field to take soil moisture samples for gravimetric soil moisture, bulk density and rock fraction determination as well as to measure surface roughness and vegetation water content. In this talk we will present preliminary results from the experiment including

  17. Comparison of SMAP and SMOS Measurements to PALS Airborne Acquisitions in 2015 and 2016

    NASA Astrophysics Data System (ADS)

    Colliander, Andreas; Misra, Sidharth; Chae, Chunsik; Jackson, Thomas J.; Cosh, Michael H.; Powers, Jarrett; McNairn, Heather; Bullock, Paul; Berg, Aaron; Magagi, Ramata; Kerr, Yann; Yueh, Simon

    2017-04-01

    NASA's (National Aeronautics and Space Administration) Soil Moisture Active Passive (SMAP) mission was launched in January 2015. The objective of the mission is global mapping of soil moisture and freeze/thaw state using L-band radiometer measurements. Well characterized sites with calibrated in situ soil moisture measurements are used to determine the quality of the soil moisture data products; these sites are designated as core validation sites (CVS). To support the CVS based validation airborne field experiments are used to provide high-fidelity validation data and to improve the SMAP retrieval algorithms. The SMAP project and NASA coordinated airborne field experiments at three CVS locations in 2015 and 2016. SMAP Validation Experiment 2015 (SMAPVEX15) was conducted around the Walnut Gulch CVS in Arizona in August, 2015. SMAPVEX16 was conducted at the South Fork CVS in Iowa and Carman CVS in Manitoba, Canada from May to August 2016. The main objective of SMAPVEX15 was to understand the effects and contribution of heterogeneity on the soil moisture retrievals, whereas the main objective of SMAPVEX16 was to understand the anomalous retrieval behavior observed over the South Fork and Carman CVS. Each campaign featured the airborne PALS (Passive Active L-band Sensor) instrument. PALS mapped the SMAPVEX15 experiment area 7 times and the SMAPVEX16 domains were each mapped 12 times. This makes altogether 30 coincidental measurements with SMAP. ESA's SMOS mission is another satellite making L-band brightness temperature measurements. The PALS flights coincided with 26 SMOS overpasses during these experiments. The area covered by PALS, at about 1 km resolution, was three adjacent SMAP pixels in SMAPVEX15 and one SMAP pixel over both of the domains in SMAPVEX16 (about 36 km). The spatial resolution of SMOS is similar to SMAP. Each field experiment was accompanied with intensive ground sampling regime consisting of manual sampling and augmentation of the CVS soil moisture

  18. Near-Real-Time, Global Radar Data at the Alaska Satellite Facility DAAC from NASA's SMAP Satellite

    NASA Astrophysics Data System (ADS)

    Arko, S. A.; Allen, A. R.; Dixon, I. R.

    2014-12-01

    The Alaska Satellite Facility (ASF) Distributed Active Archive Center (DAAC) is supporting NASA's SMAP (Soil Moisture Active Passive) satellite mission, which launches in January 2015. SMAP will measure global soil moisture and its freeze-thaw state every 3 days using an L-band synthetic aperture radar (SAR) and radiometer. ASF, along with the National Snow and Ice Data Center DAAC and NASA's Earth Science Data and Information System (ESDIS), is identifying and developing tools and technologies to facilitate use of global, near-real-time data by the SMAP user community. ASF will host the SMAP Level 1 radar data and make them available for download through ASF's data discovery interface, Vertex, and the ASF Application Programming Interface. Vertex allows a user to search, visualize and download SAR data, browse images and relevant metadata, and will offer the complete SMAP L1 radar archive to the public. The entire SMAP archive consisting of level 1-4 data can be accessed via Reverb, the NASA EOSDIS metadata and service discovery tool. In anticipation of the SMAP launch and data release, ASF has developed and released a new website (https://www.asf.alaska.edu/smap/) and a suite of web resources, including interactive media, technical information, a product guide, related publications, and tools for working with the HDF5 data format. The ASF SMAP team is exploring OPeNDAP and the Jet Propulsion Laboratory's Webification technologies for enhancing in-browser data visualization and analysis. These technologies, and tools developed with them, represent opportunities for exposing this valuable dataset to areas with limited bandwidth or understanding of radar data. This presentation will highlight the enabling technologies and techniques ASF is employing to bring these data to new scientific and applications users and respond to ever-changing user needs.

  19. Soil Moisture Active Passive Mission: Fault Management Design Analyses

    NASA Technical Reports Server (NTRS)

    Meakin, Peter; Weitl, Raquel

    2013-01-01

    As a general trend, the complexities of modern spacecraft are increasing to include more ambitious mission goals with tighter timing requirements and on-board autonomy. As a byproduct, the protective features that monitor the performance of these systems have also increased in scope and complexity. Given cost and schedule pressures, there is an increasing emphasis on understanding the behavior of the system at design time. Formal test-driven verification and validation (V&V) is rarely able to test the significant combinatorics of states, and often finds problems late in the development cycle forcing design changes that can be costly. This paper describes the approach the SMAP Fault Protection team has taken to address some of the above-mentioned issues.

  20. Soil Moisture Active Passive Mission: Fault Management Design Analyses

    NASA Technical Reports Server (NTRS)

    Meakin, Peter; Weitl, Raquel

    2013-01-01

    As a general trend, the complexities of modern spacecraft are increasing to include more ambitious mission goals with tighter timing requirements and on-board autonomy. As a byproduct, the protective features that monitor the performance of these systems have also increased in scope and complexity. Given cost and schedule pressures, there is an increasing emphasis on understanding the behavior of the system at design time. Formal test-driven verification and validation (V&V) is rarely able to test the significant combinatorics of states, and often finds problems late in the development cycle forcing design changes that can be costly. This paper describes the approach the SMAP Fault Protection team has taken to address some of the above-mentioned issues.

  1. Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model

    NASA Astrophysics Data System (ADS)

    Cai, Xitian; Pan, Ming; Chaney, Nathaniel W.; Colliander, Andreas; Misra, Sidharth; Cosh, Michael H.; Crow, Wade T.; Jackson, Thomas J.; Wood, Eric F.

    2017-04-01

    Accurate global mapping of soil moisture is the goal of the Soil Moisture Active Passive (SMAP) mission, which is expected to improve the estimation of water, energy, and carbon exchanges between the land and the atmosphere. Like other satellite products, the SMAP soil moisture retrievals need to be validated, with the validation relying heavily on in situ measurements. However, a one-to-one comparison is ill advised due to the spatial mismatch of the large SMAP footprint (˜40 km) and the point scale in situ measurements. This study uses a recently developed hyper-resolution land surface model—HydroBlocks—as a tool to upscale in situ soil moisture measurements for the SMAPVEX15 (SMAP Validation Experiment 2015) field campaign during 2-18 August 2015. Calibrated against in situ observation, HydroBlocks shows a satisfactory Kling-Gupta efficiency (KGE) of 0.817 and RMSE of 0.019 m3/m3 for the calibration period. These results indicate that HydroBlocks can be used to upscale in situ measurements for this site. Different from previous studies, here in situ measurements are upscaled using a land surface model without bias correction. The upscaled soil moisture is then used to evaluate SMAP (passive) soil moisture products. The comparison of the upscaled network to SMAP shows that the retrievals are generally able to capture the areal-averaged soil moisture temporal variations. However, SMAP appears to be oversensitive to summer precipitation. We expect these findings can be used to improve the SMAP soil moisture product and thus facilitate its usage in studying the water, energy, and carbon cycles.

  2. The SMAP Level 4 Surface and Root-zone Soil Moisture (L4_SM) Product

    NASA Technical Reports Server (NTRS)

    Reichle, Rolf; Crow, Wade; Koster, Randal; Kimball, John

    2010-01-01

    The Soil Moisture Active and Passive (SMAP) mission is being developed by NASA for launch in 2013 as one of four first-tier missions recommended by the U.S. National Research Council Committee on Earth Science and Applications from Space in 2007. The primary science objectives of SMAP are to enhance understanding of land surface controls on the water, energy and carbon cycles, and to determine their linkages. Moreover, the high resolution soil moisture mapping provided by SMAP has practical applications in weather and seasonal climate prediction, agriculture, human health, drought and flood decision support. In this paper we describe the assimilation of SMAP observations for the generation of the planned SMAP Level 4 Surface and Root-zone Soil Moisture (L4_SM) product. The SMAP mission makes simultaneous active (radar) and passive (radiometer) measurements in the 1.26-1.43 GHz range (L-band) from a sun-synchronous low-earth orbit. Measurements will be obtained across a 1000 km wide swath using conical scanning at a constant incidence angle (40 deg). The radar resolution varies from 1-3 km over the outer 70% of the swath to about 30 km near the center of the swath. The radiometer resolution is 40 km across the entire swath. The radiometer measurements will allow high-accuracy but coarse resolution (40 km) measurements. The radar measurements will add significantly higher resolution information. The radar is however very sensitive to surface roughness and vegetation structure. The combination of the two measurements allows optimal blending of the advantages of each instrument. SMAP directly observes only surface soil moisture (in the top 5 cm of the soil column). Several of the key applications targeted by SMAP, however, require knowledge of root zone soil moisture (approximately top 1 m of the soil column), which is not directly measured by SMAP. The foremost objective of the SMAP L4_SM product is to fill this gap and provide estimates of root zone soil moisture

  3. The SMAP Level 4 Surface and Root-zone Soil Moisture (L4_SM) Product

    NASA Technical Reports Server (NTRS)

    Reichle, Rolf; Crow, Wade; Koster, Randal; Kimball, John

    2010-01-01

    The Soil Moisture Active and Passive (SMAP) mission is being developed by NASA for launch in 2013 as one of four first-tier missions recommended by the U.S. National Research Council Committee on Earth Science and Applications from Space in 2007. The primary science objectives of SMAP are to enhance understanding of land surface controls on the water, energy and carbon cycles, and to determine their linkages. Moreover, the high resolution soil moisture mapping provided by SMAP has practical applications in weather and seasonal climate prediction, agriculture, human health, drought and flood decision support. In this paper we describe the assimilation of SMAP observations for the generation of the planned SMAP Level 4 Surface and Root-zone Soil Moisture (L4_SM) product. The SMAP mission makes simultaneous active (radar) and passive (radiometer) measurements in the 1.26-1.43 GHz range (L-band) from a sun-synchronous low-earth orbit. Measurements will be obtained across a 1000 km wide swath using conical scanning at a constant incidence angle (40 deg). The radar resolution varies from 1-3 km over the outer 70% of the swath to about 30 km near the center of the swath. The radiometer resolution is 40 km across the entire swath. The radiometer measurements will allow high-accuracy but coarse resolution (40 km) measurements. The radar measurements will add significantly higher resolution information. The radar is however very sensitive to surface roughness and vegetation structure. The combination of the two measurements allows optimal blending of the advantages of each instrument. SMAP directly observes only surface soil moisture (in the top 5 cm of the soil column). Several of the key applications targeted by SMAP, however, require knowledge of root zone soil moisture (approximately top 1 m of the soil column), which is not directly measured by SMAP. The foremost objective of the SMAP L4_SM product is to fill this gap and provide estimates of root zone soil moisture

  4. A Texas Flood from Land to Ocean Observed by SMAP

    NASA Astrophysics Data System (ADS)

    Fournier, S.; Reager, J. T., II; Lee, T.; Vazquez, J.; David, C. H.; Gierach, M. M.

    2016-12-01

    Floods are natural hazards that can have damaging impacts not only on affected land areas but also on the adjacent coastal waters. NASA's Soil Moisture Active Passive (SMAP) mission provides measurements of both surface soil moisture and sea surface salinity (SSS), offering the opportunity to study the effects of flooding events on both terrestrial and marine environments. Here, we present analysis of a severe flood that occurred in May 2015 in Texas using SMAP observations and ancillary satellite and in situ data that describe the precipitation intensity, the evolving saturation state of the land surface, the flood discharge peak, and the resulting freshwater plume in the Gulf of Mexico. We describe the spatiotemporal evolution of the different variables, their relationships, and the associated physical processes. Specifically, we identify a freshwater plume in the north-central Gulf, being distinct from the typical Mississippi River plume, that is attributable to the Texas flood.

  5. An Evaluation of Antarctica as a Calibration Target for Passive Microwave Satellite Missions with Climate Data Record Applications

    NASA Astrophysics Data System (ADS)

    Kim, E. J.

    2011-12-01

    surface salinity, both important climate variables. Science studies involving these variables can now take advantage of new satellite L-band observations. The first mission with regular global passive microwave observations at L-band is the European Space Agency's Soil Moisture and Ocean Salinity (SMOS), launched November, 2009. A second mission, NASA's Aquarius, was launched June, 2011. A third mission, NASA's Soil Moisture Active Passive (SMAP) is scheduled to launch in 2014. Together, these three missions may provide a decade-long data record-provided that they are intercalibrated. The intercalibration is best performed at the radiance (brightness temperature) level, and Antarctica is proving to be a key calibration target. However, Antarctica has thus far not been fully characterized as a potential target. This paper will present evaluations of Antarctica as a microwave calibration target for the above satellite missions. Preliminary analyses have identified likely target areas, such as the vicinity of Dome-C and larger areas within East Antarctica. Physical sources of temporal and spatial variability of polar firn are key to assessing calibration uncertainty. These sources include spatial variability of accumulation rate, compaction, surface characteristics (dunes, micro-topography), wind patterns, and vertical profiles of density and temperature. Using primarily SMOS data, variability is being empirically characterized and attempts are being made to attribute observed variability to physical sources. One expected outcome of these studies is the potential discovery of techniques for remotely sensing--over all of Antarctica-parameters such as surface temperature.

  6. Validation of SMAP soil moisture over a complex agricultural catchment in Austria

    NASA Astrophysics Data System (ADS)

    Pfeil, Isabella Maria; Vreugdenhil, Mariette; Strauss, Peter; Oismueller, Markus; Wagner, Wolfgang; Bloeschl, Guenter

    2017-04-01

    NASA's Soil Moisture Active Passive (SMAP) mission was launched in January 2015. After an irrecoverable failure of the radar, the remaining passive L-band radiometer is now providing soil moisture in the upper layer of the soil as well as freeze-thaw state every 2-3 days on a 36 km Earth-fixed grid. The first aim of this work is to validate SMAP soil moisture data against in situ ground measurements from the soil moisture network at the Hydrological Open Air Laboratory in Petzenkirchen (Lower Austria), which was installed in 2013. A heterogeneous agricultural catchment, the HOAL is characteristic for a range of catchments around the world. The network consists of 20 permanent and 11 temporary soil moisture stations distributed over an area of 66 ha. The challenge is to find a suitable combination of the in situ stations to represent the SMAP footprint. Therefore, additional sensors were installed outside of the catchment to facilitate upscaling of the in situ data to the scale of SMAP. A validation at a similar spatial scale is performed using soil moisture data from the Advanced Scatterometer (ASCAT) on-board the Metop satellites and AMSR2 on-board GCOM-W1, respectively. Results show strong correspondence (Pearson R > 0.5) between SMAP and in situ and satellite soil moisture datasets. This investigation follows the work by Chan et al. (2016), using longer time series and validation data from a not yet investigated ground truthing site, and will help assess the performance of the SMAP mission.

  7. Spatial and Temporal Patterns of SMAP Brightness Temperatures for Use in Level 1 TB Characterization

    NASA Astrophysics Data System (ADS)

    Kim, E. J.

    2015-12-01

    1. IntroductionThe recent launch of NASA's Soil Moisture Active Passive (SMAP) mission [Entekhabi, et al] has opened the door to improved brightness temperature (TB) calibration of satellite L-band microwave radiometers, through the use of SMAP's lower noise performance and better immunity to man-made interference (vs. ESA's Soil Moisture Ocean Salinity (SMOS) mission [Kerr, et al]), better spatial resolution (vs. NASA's Aquarius sea surface salinity mission [Le Vine, et al]), and cleaner antenna pattern (vs. SMOS). All three radiometers use/used large homogeneous places on Earth's surface as calibration targets—parts of the ocean, Antarctica, and tropical forests. Despite the recent loss of Aquarius data, there is still hope for creating a longer-term L-band data set that spans the timeframe of all 3 missions. 2. Description of Analyses and Expected Results In this paper, we analyze SMAP brightness temperature data to quantify the spatial and temporal characteristics of external target areas in the oceans, Antarctica, forests, and other areas. Existing analyses have examined these targets in terms of averages, standard deviations, and other basic statistics (for Aquarius & SMOS as well). This paper will approach the problem from a signal processing perspective. Coupled with the use of SMAP's novel RFI-mitigated TBs, and the aforementioned lower noise and cleaner antenna pattern, it is expected that of the 3 L-band missions, SMAP should do the best job of characterizing such external targets. The resulting conclusions should be useful to extract the best possible TB calibration from all 3 missions, helping to inter-compare the TB from the 3 missions, and to eventually inter-calibrate the TBs into a single long-term dataset.

  8. NASAs Soil Moisture Active Passive (SMAP) Mission and Opportunities For Applications Users

    NASA Technical Reports Server (NTRS)

    Brown, Molly E.; Escobar, Vanessa; Moran, Susan; Entekhabi, Dara; O'Neill, Peggy; Njoku, Eni G.; Doorn, Brad; Entin, Jared K.

    2013-01-01

    Water in the soil, both its amount (soil moisture) and its state (freeze/thaw), plays a key role in water and energy cycles, in weather and climate, and in the carbon cycle. Additionally, soil moisture touches upon human lives in a number of ways from the ravages of flooding to the needs for monitoring agricultural and hydrologic droughts. Because of their relevance to weather, climate, science, and society, accurate and timely measurements of soil moisture and freeze/thaw state with global coverage are critically important.

  9. Validation of SMAP Surface Soil Moisture Products with Core Validation Sites

    NASA Technical Reports Server (NTRS)

    Colliander, A.; Jackson, T. J.; Bindlish, R.; Chan, S.; Das, N.; Kim, S. B.; Cosh, M. H.; Dunbar, R. S.; Dang, L.; Pashaian, L.; hide

    2017-01-01

    The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance. Those sites provide well calibrated in situ soil moisture measurements within SMAP product grid pixels for diverse conditions and locations.The estimation of the average soil moisture within the SMAP product grid pixels based on in situ measurements is more reliable when location specific calibration of the sensors has been performed and there is adequate replication over the spatial domain, with an up-scaling function based on analysis using independent estimates of the soil moisture distribution. SMAP fulfilled these requirements through a collaborative CalVal Partner program.This paper presents the results from 34 candidate core validation sites for the first eleven months of the SMAP mission. As a result of the screening of the sites prior to the availability of SMAP data, out of the 34 candidate sites 18 sites fulfilled all the requirements at one of the resolution scales (at least). The rest of the sites are used as secondary information in algorithm evaluation. The results indicate that the SMAP radiometer-based soil moisture data product meets its expected performance of 0.04 cu m/cu m volumetric soil moisture (unbiased root mean square error); the combined radar-radiometer product is close to its expected performance of 0.04 cu m/cu m, and the radar-based product meets its target accuracy of 0.06 cu m/cu m (the lengths of the combined and radar-based products are truncated to about 10 weeks because of the SMAP radar failure). Upon completing the intensive CalVal phase of the mission the SMAP project will continue to enhance the products in the primary and extended geographic domains, in co-operation with the CalVal Partners, by continuing the comparisons over the existing core validation sites and inclusion of candidate sites that can address shortcomings.

  10. SMAP L2/L3 Soil Moisture Product Validation using In Situ Based Core Validation Sites

    NASA Astrophysics Data System (ADS)

    Colliander, A.; Jackson, T. J.; Chan, S.; Das, N. N.; Kim, S.; Dunbar, R. S.; Bindlish, R.; Dang, L. B.; Berg, A. A.; Rowlandson, T. L.; Caylor, K. K.; Cosh, M. H.; AlJassar, H. K.; Lopez-baeza, E.; Martínez-Fernández, J.; Gonzales-Zamora, A.; McNairn, H.; Pacheco, A. M.; Moghaddam, M.; Montzka, C.; Notarnicola, C.; Niedrist, G.; Pellarin, T.; Pulliainen, J.; Rautiainen, K.; Ramos, J.; Seyfried, M. S.; Su, Z.; Zeng, Y.; Van der Velde, R.; Temimi, M.; Thibeault, M.; Dorigo, W.; Vreugdenhil, M.; Walker, J.; Wu, X.; Caldwell, T. G.; Spencer, M.; O'Neill, P. E.; Entekhabi, D.; Yueh, S. H.; Njoku, E. G.

    2015-12-01

    NASA's Soil Moisture Active Passive (SMAP) Mission was launched in January 2015. The objective of the mission is global mapping of soil moisture and landscape freeze/thaw state. SMAP utilizes L-band radar and radiometer instruments sharing a rotating 6-meter mesh reflector antenna. Merging of active and passive L-band observations enables an unprecedented combination of accuracy, resolution, global coverage and revisit-time for soil moisture and freeze/thaw retrievals. The primary validation reference of the data products will be ground-based measurements. Well characterized sites with calibrated in situ measurements will be used to determine the quality of the data products; these sites are designated as core validation sites. The mission success criteria will be evaluated with respect to these core site comparisons. Other remote sensing and model-based products will be used as additional resources to expand the spatial and temporal scope of the evaluation. In an effort to ensure the geographic distribution and diversity of conditions of the core validation sites, SMAP has partnered with investigators across the globe. Because different SMAP Level 2 soil moisture products have different spatial scales, the suitability of the various sites for validation of the different products must be done for each site while considering several factors. The main factors are gravimetric calibration of the sensors within a site and determination of a spatial scaling function of the sensor measurements up to the SMAP resolution scales. The mission has been able to utilize the core site measurements since the launch of the satellite because the infrastructure for data transmission and processing was established well before the launch. The validated soil moisture products will be released by May 2016. In this presentation we will show the performance of the beta version of the soil moisture products (released by November 2015) and discuss the status of the validation process.

  11. Science Data System Contribution to Calibrating and Validating SMAP Data Products

    NASA Astrophysics Data System (ADS)

    Cuddy, D.

    2015-12-01

    NASA's Soil Moisture Active Passive (SMAP) mission retrieves global surface soil moisture and freeze/thaw state using measurements acquired by a radiometer and a synthetic aperture radar that fly on an Earth orbiting satellite. The SMAP observatory launched from Vandenberg Air Force Base on January 31, 2015 into a near-polar, sun-synchronous orbit. This paper describes the contribution of the SMAP Science Data System (SDS) to the calibration and on-going validation of the radar backscatter and radiometer brightness temperatures. The Science Data System designed, implemented and operated the software that generates data products that contain various geophysical parameters including soil moisture and freeze/thaw states, daily maps of these geophysical parameters, as well as modeled analyses of global soil moisture and carbon flux in Boreal regions. The SDS is a fully automated system that processes the incoming raw data from the instruments, incorporates spacecraft and instrument engineering data, and uses both dynamic and static ancillary products provided by the scientific community. The standard data products appear in Hierarchical Data Format-5 (HDF5) format. These products contain metadata that conform to the ISO 19115 standard. The Alaska Satellite Facility (ASF) hosts and distributes SMAP radar data products. The National Snow and Ice Data Center (NSIDC) hosts and distributes all of the other SMAP data products.

  12. SMAPVEX08: Soil Moisture Active Passive Validation Experiment 2008

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive Mission (SMAP) is currently addressing issues related to the development and selection of retrieval algorithms as well as refining the mission design and instruments. Some of these issues require resolution as soon as possible. Several forums had identified specific ...

  13. An Evaluation of Antarctica as a Calibration Target for Passive Microwave Satellite Missions with Climate Data Record Applications

    NASA Technical Reports Server (NTRS)

    Kim, Edward

    2011-01-01

    Passive microwave remote sensing at L-band (1.4 GHz) is sensitive to soil moisture and sea surface salinity, both important climate variables. Science studies involving these variables can now take advantage of new satellite L-band observations. The first mission with regular global passive microwave observations at L-band is the European Space Agency's Soil Moisture and Ocean Salinity (SMOS), launched November, 2009. A second mission, NASA's Aquarius, was launched June, 201 I. A third mission, NASA's Soil Moisture Active Passive (SMAP) is scheduled to launch in 2014. Together, these three missions may provide a decade-long data record-provided that they are intercalibrated. The intercalibration is best performed at the radiance (brightness temperature) level, and Antarctica is proving to be a key calibration target. However, Antarctica has thus far not been fully characterized as a potential target. This paper will present evaluations of Antarctica as a microwave calibration target for the above satellite missions. Preliminary analyses have identified likely target areas, such as the vicinity of Dome-C and larger areas within East Antarctica. Physical sources of temporal and spatial variability of polar firn are key to assessing calibration uncertainty. These sources include spatial variability of accumulation rate, compaction, surface characteristics (dunes, micro-topography), wind patterns, and vertical profiles of density and temperature. Using primarily SMOS data, variability is being empirically characterized and attempts are being made to attribute observed variability to physical sources. One expected outcome of these studies is the potential discovery of techniques for remotely sensing--over all of Antarctica-parameters such as surface temperature.

  14. Assimilation of soil moisture retrievals or brightness temperature observations from SMOS and SMAP into the GEOS-5 land surface model

    NASA Astrophysics Data System (ADS)

    De Lannoy, G. J. M.; Reichle, R. H.

    2015-12-01

    Two L-band microwave missions are currently collecting passive microwave observations and aiming at an improved estimation of soil moisture. The ESA Soil Moisture Ocean Salinity (SMOS) mission and the NASA Soil Moisture Active Passive (SMAP) mission both provide Level 1 brightness temperature products and derived Level 2 soil moisture retrieval products. The assimilation of these products into land surface models has potential to improve global estimates of soil moisture and other land surface variables. This presentation investigates the benefits and challenges of assimilating either retrievals or brightness temperature observations from either SMOS or SMAP into the Goddard Earth Observing System (GEOS-5) land surface model. It will be shown that the seasonal corrections introduced by retrieval assimilation are slightly different from those with brightness temperature assimilation as a result of the technical implementation of the assimilation scheme. Various resulting land surface variables will also be evaluated against the results from the operational SMAP Level 4 Soil Moisture (L4_SM) product, which assimilates SMAP brightness temperature data.

  15. SMAP Spacecraft Rotate & Placed on Fixture

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians prepare a component of NASA's Soil Moisture Active Passive, or SMAP, spacecraft for a lift by a crane. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  16. SMAP Spacecraft Rotate & Placed on Fixture

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians remove a protective covering from NASA's Soil Moisture Active Passive, or SMAP, spacecraft. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  17. SMAP Spacecraft Rotate & Placed on Fixture

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, processing has begun on NASA's Soil Moisture Active Passive, or SMAP, spacecraft. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  18. SMAP Spacecraft Rotate & Placed on Fixture

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians mount NASA's Soil Moisture Active Passive, or SMAP, spacecraft on a work platform. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  19. SMAP Spacecraft Rotate & Placed on Fixture

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians have rotated NASA's Soil Moisture Active Passive, or SMAP, spacecraft to begin processing. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  20. SMAP Spacecraft Rotate & Placed on Fixture

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians use a crane to move NASA's Soil Moisture Active Passive, or SMAP, spacecraft. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  1. SMAP Spacecraft Rotate & Placed on Fixture

    NASA Image and Video Library

    2014-10-16

    Inside the Astrotech payload processing facility on Vandenberg Air Force Base in California, engineers and technicians wearing protective garb, monitor operations as a crane lifts a component of NASA's Soil Moisture Active Passive, or SMAP, spacecraft. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015.

  2. End-of-Mission Passivation: Successes and Challenges

    NASA Technical Reports Server (NTRS)

    Johnson, Nicholas; Matney, Mark

    2012-01-01

    The passivation of spacecraft and launch vehicle orbital stages at end-of-mission has been a principal space debris mitigation measure world-wide since the 1980 s. Space vehicle passivation includes the removal of stored energies, especially those associated with propulsion and electrical power systems. Prior to 2007 the breakup of non-functioning, non-passivated space vehicles was the major source of hazardous debris in Earth orbit. The United Nations and the Inter-Agency Space Debris Coordination Committee have both included passivation in their formal space debris mitigation guidelines. This often simple countermeasure has been adopted by many spacefaring countries and organizations and has undoubtedly prevented numerous major satellite breakups. For some existing space vehicle designs, passivation requires changes in hardware, software, and/or operational procedures. Questions about the permissible degree of passivation for both current and future space vehicles have arisen and are addressed herein. An important element to be considered is the potentially long period in which the space vehicle will remain in orbit, i.e., up to 25 years after mission termination in LEO and for centuries in orbits above LEO. Finally, the issue of passivation of space vehicles which have failed prematurely is addressed.

  3. Modelling the passive microwave signature from land surfaces: a review of recent results and application to the SMOS & SMAP soil moisture retrieval algorithms

    USDA-ARS?s Scientific Manuscript database

    Two passive microwave missions are currently operating at L-band to monitor surface soil moisture (SM) over continental surfaces. The SMOS sensor, based on an innovative interferometric technology enabling multi-angular signatures of surfaces to be measured, was launched in November 2009....

  4. The Soil Moisture Active Passive Marena Oklahoma In Situ Sensor Testbed (SMAP-MOISST): Design and initial results

    USDA-ARS?s Scientific Manuscript database

    In situ soil moisture monitoring networks are critical to the development of soil moisture remote sensing missions as well as agricultural and environmental management, weather forecasting and many other endeavors. These in situ networks are composed of a variety of sensors and installation practic...

  5. SMAP HDF Data at the NASA NSIDC DAAC: Strengthening Support for Visualization and Analysis of Multidimensional Data

    NASA Astrophysics Data System (ADS)

    Steiker, A. E.; Leslie, S. R.; Khalsa, S. J. S.; Leon, A.

    2016-12-01

    The NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) distributes and supports Hierarchical Data Format (HDF) data products from several remote sensing observatories including the NASA Soil Moisture Active Passive (SMAP) mission. Launched on 31 January 2015, SMAP provides global high-resolution mapping of soil moisture and freeze-thaw state. These measurements enable a better understanding of the connections between carbon, energy, and hydrologic fluxes on earth, as well as improved drought, flood, and weather forecasting capabilities that can directly impact agricultural productivity. Given this wide range of research and policy applications, the NASA NSIDC DAAC supports a diverse user community employing a variety of geospatial software tools to analyze and visualize SMAP data. SMAP data products are produced in HDF5 format, organized into hierarchical groups containing multiple data sets. These data sets can be heterogeneous in terms of their data type and array dimensions. While the HDF5 model allows for this heterogeneity, this complex data format can pose problems when read into many software applications. Although SMAP data include rich file-level metadata, these metadata only partly adhere to CF conventions and ISO 19115 standards, adding additional interoperability challenges. In the case of SMAP, issues such as incompletely filled geolocation arrays and Level 1 and 2 (swath) 1-dimensional structure were revealed through user feedback and NASA Earth Observing System Data and Information System (EOSDIS) software development. As a result, SMAP products are now better supported in ArcGIS through multidimensional data tools including the mosaic dataset and OPeNDAP workflows. These issues underscore the need for ongoing collaboration between the NSIDC DAAC, software development teams, data providers, end-users, and the data and metadata standards communities in order to ensure interoperability across data products and tools.

  6. SMAP and SMOS soil moisture validation

    USDA-ARS?s Scientific Manuscript database

    The SMOS and SMAP satellite missions each produce global soil moisture products using L-band radiometry. Both missions begin with the same fundamental equations in developing their soil moisture retrieval algorithm but implement it differently due to design differences of the instruments. SMOS with ...

  7. Early results of the Soil Moisture Active Passive Validation Experiment (SMAPVEX15)

    USDA-ARS?s Scientific Manuscript database

    In August of 2015, the Soil Moisture Active Passive Validation Experiment (SMAPVEX15) was conducted to provide a high resolution soil moisture dataset for the calibration/validation of the Soil Moisture Active Passive Mission (SMAP). The Upper San Pedro River Basin and the USDA-ARS Walnut Gulch LTAR...

  8. SMAP Radiometer Captures Views of Global Soil Moisture

    NASA Image and Video Library

    2015-05-06

    These maps of global soil moisture were created using data from the radiometer instrument on NASA Soil Moisture Active Passive SMAP observatory. Evident are regions of increased soil moisture and flooding during April, 2015.

  9. A Citizen Science Soil Moisture Sensor to Support SMAP Calibration/Validation

    NASA Astrophysics Data System (ADS)

    Podest, E.; Das, N. N.

    2016-12-01

    The Soil Moisture Active Passive (SMAP) satellite mission was launched in Jan. 2015 and is currently acquiring global measurements of soil moisture in the top 5 cm of the soil every 3 days. SMAP has partnered with the GLOBE program to engage students from around the world to collect in situ soil moisture and help validate SMAP measurements. The current GLOBE SMAP soil moisture protocol consists in collecting a soil sample, weighing, drying and weighing it again in order to determine the amount of water in the soil. Preparation and soil sample collection can take up to 20 minutes and drying can take up to 3 days. We have hence developed a soil moisture measurement device based on Arduino-like microcontrollers along with off-the-shelf and homemade sensors that are accurate, robust, inexpensive and quick and easy to use so that they can be implemented by the GLOBE community and citizen scientists alike. This talk will discuss building, calibration and validation of the soil moisture measuring device and assessing the quality of the measurements collected. This work was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.

  10. The SMAP Level 4 Carbon PRODUCT for Monitoring Terrestrial Ecosystem-Atmosphere CO2 Exchange

    NASA Technical Reports Server (NTRS)

    Jones, L. A.; Kimball, J. S.; Madani, N.; Reichle, R. H.; Glassy, J.; Ardizzone, J/

    2016-01-01

    The NASA Soil Moisture Active Passive (SMAP) mission Level 4 Carbon (L4_C) product provides model estimates of Net Ecosystem CO2 exchange (NEE) incorporating SMAP soil moisture information as a primary driver. The L4_C product provides NEE, computed as total respiration less gross photosynthesis, at a daily time step and approximate 14-day latency posted to a 9-km global grid summarized by plant functional type. The L4_C product includes component carbon fluxes, surface soil organic carbon stocks, underlying environmental constraints, and detailed uncertainty metrics. The L4_C model is driven by the SMAP Level 4 Soil Moisture (L4_SM) data assimilation product, with additional inputs from the Goddard Earth Observing System, Version 5 (GEOS-5) weather analysis and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data. The L4_C data record extends from March 2015 to present with ongoing production. Initial comparisons against global CO2 eddy flux tower measurements, satellite Solar Induced Canopy Florescence (SIF) and other independent observation benchmarks show favorable L4_C performance and accuracy, capturing the dynamic biosphere response to recent weather anomalies and demonstrating the value of SMAP observations for monitoring of global terrestrial water and carbon cycle linkages.

  11. Using Smos Passive Microwave Data to Develop Smap Freeze/thaw Algorithms Adapted for the Canadian Subarctic

    NASA Astrophysics Data System (ADS)

    Kalantari, P.; Bernier, M.; McDonal, K. C.; Poulin, J.

    2015-12-01

    Seasonal terrestrial Freeze/Thaw cycle in Northern Quebec Tundra (Nunavik) was determined and evaluated with passive microwave observations. SMOS time series data were analyzed to examine seasonal variations of soil freezing, and to assess the impact of land cover on the Freeze/Thaw cycle. Furthermore, the soil freezing maps derived from SMOS observations were compared to field survey data in the region near Umiujaq. The objective is to develop algorithms to follow the seasonal cycle of freezing and thawing of the soil adapted to Canadian subarctic, a territory with a high complexity of land cover (vegetation, soil, and water bodies). Field data shows that soil freezing and thawing dates vary much spatially at the local scale in the Boreal Forest and the Tundra. The results showed a satisfactory pixel by pixel mapping for the daily soil state monitoring with a > 80% success rate with in situ data for the HH and VV polarizations, and for different land cover. The average accuracies are 80% and 84% for the soil freeze period, and soil thaw period respectively. The comparison is limited because of the small number of validation pixels.

  12. Integrating new satellite observations from SMAP and OCO-2 for analyzing terrestrial water and carbon connections

    NASA Astrophysics Data System (ADS)

    Kimball, J. S.; Stavros, N.; Schimel, D.

    2014-12-01

    The successful inauguration of both NASA OCO-2 (Orbiting Carbon Observatory 2) and SMAP (Soil Moisture Active Passive) missions, and continuing operations from other flagship Earth Observing systems (e.g. MODIS) provide new opportunities to improve understanding of global carbon and water cycle connections over land. Carbon and water cycles interact such that soil moisture and frozen temperatures constrain net ecosystem productivity and terrestrial sources and sinks for atmospheric CO2. OCO-2 and SMAP will have overlapping global observations beginning in 2015. The combined measurements from these sensors provide complimentary information linking top-down atmospheric CO2 measurements with bottom-up carbon fluxes and underlying environmental controls. SMAP will consist of a satellite L-band radar and radiometer suite designed for global monitoring of soil moisture and freeze-thaw dynamics. SMAP science objectives include improving understanding of processes linking terrestrial water, energy and carbon cycles, and quantifying the net carbon flux in boreal landscapes. SMAP products include model enhanced estimates of net ecosystem CO2 flux (NEE) and component carbon fluxes for productivity and respiration; targeted accuracy for NEE is defined at the level of tower (FLUXNET) eddy covariance measurement based CO2 fluxes. OCO-2 has similar carbon science objectives and complimentary observations to SMAP, including canopy fluorescence (SIF) and atmosphere total column CO2 concentrations (XCO2) derived with unprecedented sampling and precision. An initial framework for integrating and analyzing these data is presented in the context of planned post-launch field campaigns and community carbon model synthesis activities. Example research applications are presented using available satellite data prior to SMAP and OCO-2 operations. Activities include using SIF (a proxy for canopy photosynthesis) with MODIS FPAR and SMAP data to improve understanding of canopy structural and

  13. Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08)

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive Mission (SMAP) is currently addressing issues related to the development and selection of soil moisture retrieval algorithms. Several forums have identified a number of specific questions that require supporting field experiments. Addressing these issues as soon as p...

  14. Passive Microwave Rainfall Estimates from the GPM Mission

    NASA Astrophysics Data System (ADS)

    Kummerow, Christian; Petkovic, Veljko

    2017-04-01

    The Global Precipitation Measurement (GPM) mission was launched in February 2014 as a joint mission between JAXA from Japan and NASA from the United States. GPM carries a state of the art dual-frequency precipitation radar and a multi-channel passive microwave radiometer that acts not only to enhance the radar's retrieval capability, but also as a reference for a constellation of existing satellites carrying passive microwave sensors. In March of 2016, GPM released Version 4 of its precipitation products that consists of radar, radiometer, and combined radar/radiometer products. The precipitation products from these sensors or sensor combination are consistent by design and show relatively minor differences in the mean global sense. Closer examination of the biases, however, reveals regional biases between active and passive sensors that can be directly related top the nature of the convection. By looking at cloud systems instead of individual satellite pixels, the relationship between biases and the large scale environmental state become obvious. Organized convection, which occurs more readily in regimes with large Convective Available Potential Energy (CAPE) and shear tend to drive biases in different directions than isolated convection. This is true over both land and ocean. This talk will present the latest findings and explore these discrepancies from a physical perspective in order to gain some understanding between cloud structures, information content, and retrieval differences. This analysis will be used to then drive a bigger picture of how GPM's latest results inform the Global Water and Energy budgets.

  15. SMAP Post-launch Field Campaign Planning

    USDA-ARS?s Scientific Manuscript database

    The SMAP post-launch Cal/Val activities are intended both to assess the quality of the mission products and to support analyses that lead to their improvement. A suite of complementary methodologies will be employed that will result in a robust global assessment. Much of the work will occur in the C...

  16. Evaluation of the Validated Soil Moisture Product from the SMAP Radiometer

    NASA Technical Reports Server (NTRS)

    O'Neill, P.; Chan, S.; Colliander, A.; Dunbar, S.; Njoku, E.; Bindlish, R.; Chen, F.; Jackson, T.; Burgin, M.; Piepmeier, J.; hide

    2016-01-01

    NASA's Soil Moisture Active Passive (SMAP) mission launched on January 31, 2015 into a sun-synchronous 6 am/6 pm orbit with an objective to produce global mapping of high-resolution soil moisture and freeze-thaw state every 2-3 days using an L-band (active) radar and an L-band (passive) radiometer. The SMAP radiometer began acquiring routine science data on March 31, 2015 and continues to operate nominally. SMAP's radiometer-derived soil moisture product (L2_SM_P) provides soil moisture estimates posted on a 36 km fixed Earth grid using brightness temperature observations from descending (6 am) passes and ancillary data. A beta quality version of L2_SM_P was released to the public in September, 2015, with the fully validated L2_SM_P soil moisture data expected to be released in May, 2016. Additional improvements (including optimization of retrieval algorithm parameters and upscaling approaches) and methodology expansions (including increasing the number of core sites, model-based intercomparisons, and results from several intensive field campaigns) are anticipated in moving from accuracy assessment of the beta quality data to an evaluation of the fully validated L2_SM_P data product.

  17. Soil Moisture Active Passive Mission L4_C Data Product Assessment (Version 2 Validated Release)

    NASA Technical Reports Server (NTRS)

    Kimball, John S.; Jones, Lucas A.; Glassy, Joseph; Stavros, E. Natasha; Madani, Nima; Reichle, Rolf H.; Jackson, Thomas; Colliander, Andreas

    2016-01-01

    The SMAP satellite was successfully launched January 31st 2015, and began acquiring Earth observation data following in-orbit sensor calibration. Global data products derived from the SMAP L-band microwave measurements include Level 1 calibrated and geolocated radiometric brightness temperatures, Level 23 surface soil moisture and freezethaw geophysical retrievals mapped to a fixed Earth grid, and model enhanced Level 4 data products for surface to root zone soil moisture and terrestrial carbon (CO2) fluxes. The post-launch SMAP mission CalVal Phase had two primary objectives for each science product team: 1) calibrate, verify, and improve the performance of the science algorithms, and 2) validate accuracies of the science data products as specified in the L1 science requirements. This report provides analysis and assessment of the SMAP Level 4 Carbon (L4_C) product pertaining to the validated release. The L4_C validated product release effectively replaces an earlier L4_C beta-product release (Kimball et al. 2015). The validated release described in this report incorporates a longer data record and benefits from algorithm and CalVal refinements acquired during the SMAP post-launch CalVal intensive period. The SMAP L4_C algorithms utilize a terrestrial carbon flux model informed by SMAP soil moisture inputs along with optical remote sensing (e.g. MODIS) vegetation indices and other ancillary biophysical data to estimate global daily net ecosystem CO2 exchange (NEE) and component carbon fluxes for vegetation gross primary production (GPP) and ecosystem respiration (Reco). Other L4_C product elements include surface (10 cm depth) soil organic carbon (SOC) stocks and associated environmental constraints to these processes, including soil moisture and landscape freeze/thaw (FT) controls on GPP and respiration (Kimball et al. 2012). The L4_C product encapsulates SMAP carbon cycle science objectives by: 1) providing a direct link between terrestrial carbon fluxes and

  18. SMAP Data Assimilation at NASA SPoRT

    NASA Technical Reports Server (NTRS)

    Blankenship, Clay B.; Case, Jonathan L.; Zavodsky, Bradley T.

    2016-01-01

    The NASA Short-Term Prediction Research and Transition (SPoRT) Center maintains a near-real- time run of the Noah Land Surface Model within the Land Information System (LIS) at 3-km resolution. Soil moisture products from this model are used by several NOAA/National Weather Service Weather Forecast Offices for flood and drought situational awareness. We have implemented assimilation of soil moisture retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active/ Passive (SMAP) satellites, and are now evaluating the SMAP assimilation. The SMAP-enhanced LIS product is planned for public release by October 2016.

  19. Hurricane Maria's Strengthening Winds Seen in NASA SMAP Image

    NASA Image and Video Library

    2017-09-19

    The radiometer instrument on NASA's Soil Moisture Active Passive (SMAP) spacecraft captured this image of Hurricane Maria at 6:27 a.m. EDT on Sept. 19, 2017 (10:27 UTC), showing an estimated maximum surface wind speed of 126.6 miles per hour (56.6 meters per second). While Maria was already a Category 5 hurricane at the time of this observation, it is an extremely tightly organized hurricane and SMAP cannot fully resolve its highest winds due to the 25-mile (40-kilometer) resolution of SMAP. https://photojournal.jpl.nasa.gov/catalog/PIA21960

  20. Assessment of SMAP L2/L3 Soil Moisture Products using In Situ Based Core Validation Sites

    NASA Astrophysics Data System (ADS)

    Colliander, A.; Jackson, T. J.; Bindlish, R.; Chan, S.; Das, N. N.; Kim, S.; Cosh, M. H.; Dunbar, R. S.; Asanuma, J.; Aida, K.; Berg, A. A.; Rowlandson, T. L.; Bosch, D. D.; Caldwell, T. G.; Caylor, K. K.; Goodrich, D. C.; Al Jassar, H. K.; Lopez-baeza, E.; Martínez-Fernández, J.; Gonzales-Zamora, A.; Livingston, S.; McNairn, H.; Pacheco, A. M.; Moghaddam, M.; Montzka, C.; Notarnicola, C.; Niedrist, G.; Pellarin, T.; Prueger, J. H.; Pulliainen, J.; Rautiainen, K.; Ramos, J.; Seyfried, M. S.; Starks, P. J.; Su, Z.; Zeng, Y.; Van der Velde, R.; Thibeault, M.; Dorigo, W.; Vreugdenhil, M.; Walker, J. P.; Wu, X.; Monerris, A.; O'Neill, P. E.; Entekhabi, D.; Yueh, S. H.

    2016-12-01

    NASA's Soil Moisture Active Passive (SMAP) Mission was launched in January 2015. The objective of the mission is global mapping of soil moisture and landscape freeze/thaw state. SMAP utilizes a rotating 6-meter mesh reflector antenna to make measurements with its L-band radiometer. The mission included an L-band radar that experienced a failure in July 2015. While the radar was working, the merger of active and passive L-band observations enabled production of soil moisture at a higher spatial resolution (<10 km) than using the radiometer measurements alone. The primary validation reference of the data products are ground-based measurements. Well characterized sites with calibrated in situ measurements have been used to determine the quality of the data products; these sites are designated as core validation sites. The mission success criteria has been evaluated with respect to these core site comparisons. Other remote sensing and model-based products have been used as complimentary resources to expand the spatial and temporal scope of the evaluation. In an effort to ensure the geographic distribution and diversity of conditions captured by the core validation sites, SMAP partnered with investigators across the globe. Because different SMAP Level 2 and 3 soil moisture products have different spatial scales, the suitability of the various sites for validation of the different products was assessed based on the consideration of several factors. The main factors were the availability of a geographically distributed network consisting of multiple points, gravimetric calibration of the in situ sensors within a site, determination of a spatial scaling function of the sensor measurements up to the SMAP resolution scales, and timely accessibility of the data. The mission has been able to utilize the core site measurements since the launch of the satellite because the infrastructure for data transmission and processing was established well before the launch. The validated

  1. High-Resolution Soil Moisture Retrieval using SMAP-L Band Radiometer and RISAT-C band Radar Data for the Indian Subcontinent

    NASA Astrophysics Data System (ADS)

    Singh, G.; Das, N. N.; Panda, R. K.; Mohanty, B.; Entekhabi, D.; Bhattacharya, B. K.

    2016-12-01

    Soil moisture status at high resolution (1-10 km) is vital for hydrological, agricultural and hydro-metrological applications. The NASA Soil Moisture Active Passive (SMAP) mission had potential to provide reliable soil moisture estimate at finer spatial resolutions (3 km and 9 km) at the global extent, but suffered a malfunction of its radar, consequently making the SMAP mission observations only from radiometer that are of coarse spatial resolution. At present, the availability of high-resolution soil moisture product is limited, especially in developing countries like India, which greatly depends on agriculture for sustaining a huge population. Therefore, an attempt has been made in the reported study to combine the C-band synthetic aperture radar (SAR) data from Radar Imaging Satellite (RISAT) of the Indian Space Research Organization (ISRO) with the SMAP mission L-band radiometer data to obtain high-resolution (1 km and 3 km) soil moisture estimates. In this study, a downscaling approach (Active-Passive Algorithm) implemented for the SMAP mission was used to disaggregate the SMAP radiometer brightness temperature (Tb) using the fine resolution SAR backscatter (σ0) from RISAT. The downscaled high-resolution Tb was then subjected to tau-omega model in conjunction with high-resolution ancillary data to retrieve soil moisture at 1 and 3 km scale. The retrieved high-resolution soil moisture estimates were then validated with ground based soil moisture measurement under different hydro-climatic regions of India. Initial results show tremendous potential and reasonable accuracy for the retrieved soil moisture at 1 km and 3 km. It is expected that ISRO will implement this approach to produce high-resolution soil moisture estimates for the Indian subcontinent.

  2. Status of ESA's EarthCARE mission, passive instruments payload

    NASA Astrophysics Data System (ADS)

    Wallace, Kotska; Hélière, Arnaud; Lefebvre, Alain; Eisinger, Michael; Wehr, Tobias

    2016-09-01

    EarthCARE is ESA's third Earth Explorer Core Mission, with JAXA providing one instrument. The mission allows unique data product synergies to improve understanding of atmospheric cloud-aerosol interactions and Earth's radiation balance. Retrieved data will be used to improve climate and numerical weather prediction models. EarthCARE accommodates two active instruments: an ATmospheric LIDar (ATLID) and a Cloud Profiling Radar (CPR), and two passive instruments: a Multi Spectral Imager (MSI) and a BroadBand Radiometer (BBR). The instruments will provide simultaneous, collocated imagery, allowing both individual and common data products. The active instruments provide data on microscopic levels, measured through the atmospheric depth. 3-D models of the atmospheric interactions are constructed from the data, which can be used to calculate radiation balance. The large footprint of the MSI provides contextual information for the smaller footprints of the active instruments. Data from the BBR allows the loop to be closed by providing a macroscopic measurement of the radiation balance. This paper will describe the passive instruments development status. MSI is a compact instrument with a 150 km swath providing 500 m pixel data in seven channels, whose retrieved data will give context to the active instrument measurements, as well as providing cloud and aerosol information. BBR measures reflected solar and emitted thermal radiation from the scene. To reduce uncertainty in the radiance to flux conversion, three independent view angles are observed for each scene. The combined data allows more accurate flux calculations, which can be further improved using MSI data.

  3. Model-Based Verification and Validation of the SMAP Uplink Processes

    NASA Technical Reports Server (NTRS)

    Khan, M. Omair; Dubos, Gregory F.; Tirona, Joseph; Standley, Shaun

    2013-01-01

    This case study stands as an example of how a project can validate a system-level design earlier in the project life cycle than traditional V&V processes by using simulation on a system model. Specifically, this paper describes how simulation was added to a system model of the Soil Moisture Active-Passive (SMAP) mission's uplink process.Also discussed are the advantages and disadvantages of the methods employed and the lessons learned; which are intended to benefit future model-based and simulation-based V&V development efforts.

  4. Model-Based Verification and Validation of the SMAP Uplink Processes

    NASA Technical Reports Server (NTRS)

    Khan, M. Omair; Dubos, Gregory F.; Tirona, Joseph; Standley, Shaun

    2013-01-01

    This case study stands as an example of how a project can validate a system-level design earlier in the project life cycle than traditional V&V processes by using simulation on a system model. Specifically, this paper describes how simulation was added to a system model of the Soil Moisture Active-Passive (SMAP) mission's uplink process.Also discussed are the advantages and disadvantages of the methods employed and the lessons learned; which are intended to benefit future model-based and simulation-based V&V development efforts.

  5. Dual stage passive vibration isolation for optical interferometer missions

    NASA Astrophysics Data System (ADS)

    Bronowicki, Allen J.; MacDonald, Rhonda; Gürsel, Yekta; Goullioud, Renaud; Neville, Timothy; Platus, David L.

    2003-02-01

    Future space-based optical instruments such as the Space Interferometer Mission have vibration-induced error allocations at the levels of a few nano-meters and milli-arc-seconds. A dual stage passive isolation approach has been proposed using isolation first at the vibration-inducing reaction wheels, and a second isolation layer between the bus portion of the space vehicle (the backpack) and the optical payload. The development of the backpack isolator is described, with unit transmissibility results for individual isolator struts. The dual stage isolation approach is demonstrated on a dynamically feature-rich, 7-meter structural testbed (STB3). A new passive suspension that mitigates ground vibrations above 0.4 Hz has been integrated into the testbed. A series of OPD performance predictions have been made using measured transfer functions. These indicate that the 5-nm dynamic OPD allocation is within reach using the dual isolator approach. Demonstrating these low response levels in a noisy air environment has proven to be difficult. We are sequentially executing a plan to mitigate acoustic transmission between backpack and flight structure, as well as developing techniques to mitigate effects of background acoustic noise.

  6. Combined active and passive microwave remote sensing of vegetated surfaces at l-band

    USDA-ARS?s Scientific Manuscript database

    In previous work the distorted Born approximation (DBA) of volume scattering was combined with the numerical solutions of Maxwell equations (NMM3D) for a rough surface to calculate the radar backscattering coefficient for the Soil Moisture Active Passive (SMAP) mission. The model results were valida...

  7. Technical Report Series on Global Modeling and Data Assimilation. Volume 40; Soil Moisture Active Passive (SMAP) Project Assessment Report for the Beta-Release L4_SM Data Product

    NASA Technical Reports Server (NTRS)

    Koster, Randal D.; Reichle, Rolf H.; De Lannoy, Gabrielle J. M.; Liu, Qing; Colliander, Andreas; Conaty, Austin; Jackson, Thomas; Kimball, John

    2015-01-01

    During the post-launch SMAP calibration and validation (Cal/Val) phase there are two objectives for each science data product team: 1) calibrate, verify, and improve the performance of the science algorithm, and 2) validate the accuracy of the science data product as specified in the science requirements and according to the Cal/Val schedule. This report provides an assessment of the SMAP Level 4 Surface and Root Zone Soil Moisture Passive (L4_SM) product specifically for the product's public beta release scheduled for 30 October 2015. The primary objective of the beta release is to allow users to familiarize themselves with the data product before the validated product becomes available. The beta release also allows users to conduct their own assessment of the data and to provide feedback to the L4_SM science data product team. The assessment of the L4_SM data product includes comparisons of SMAP L4_SM soil moisture estimates with in situ soil moisture observations from core validation sites and sparse networks. The assessment further includes a global evaluation of the internal diagnostics from the ensemble-based data assimilation system that is used to generate the L4_SM product. This evaluation focuses on the statistics of the observation-minus-forecast (O-F) residuals and the analysis increments. Together, the core validation site comparisons and the statistics of the assimilation diagnostics are considered primary validation methodologies for the L4_SM product. Comparisons against in situ measurements from regional-scale sparse networks are considered a secondary validation methodology because such in situ measurements are subject to upscaling errors from the point-scale to the grid cell scale of the data product. Based on the limited set of core validation sites, the assessment presented here meets the criteria established by the Committee on Earth Observing Satellites for Stage 1 validation and supports the beta release of the data. The validation against

  8. Achieving Lights-Out Operation of SMAP Using Ground Data System Automation

    NASA Technical Reports Server (NTRS)

    Sanders, Antonio

    2013-01-01

    The approach used in the SMAP ground data system to provide reliable, automated capabilities to conduct unattended operations has been presented. The impacts of automation on the ground data system architecture were discussed, including the three major automation patterns identified for SMAP and how these patterns address the operations use cases. The architecture and approaches used by SMAP will set the baseline for future JPL Earth Science missions.

  9. Achieving Lights-Out Operation of SMAP Using Ground Data System Automation

    NASA Technical Reports Server (NTRS)

    Sanders, Antonio

    2013-01-01

    The approach used in the SMAP ground data system to provide reliable, automated capabilities to conduct unattended operations has been presented. The impacts of automation on the ground data system architecture were discussed, including the three major automation patterns identified for SMAP and how these patterns address the operations use cases. The architecture and approaches used by SMAP will set the baseline for future JPL Earth Science missions.

  10. Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates

    NASA Astrophysics Data System (ADS)

    Lievens, H.; Reichle, R. H.; Liu, Q.; De Lannoy, G. J. M.; Dunbar, R. S.; Kim, S. B.; Das, N. N.; Cosh, M.; Walker, J. P.; Wagner, W.

    2017-06-01

    SMAP (Soil Moisture Active and Passive) radiometer observations at ˜40 km resolution are routinely assimilated into the NASA Catchment Land Surface Model to generate the 9 km SMAP Level-4 Soil Moisture product. This study demonstrates that adding high-resolution radar observations from Sentinel-1 to the SMAP assimilation can increase the spatiotemporal accuracy of soil moisture estimates. Radar observations were assimilated either separately from or simultaneously with radiometer observations. Assimilation impact was assessed by comparing 3-hourly, 9 km surface and root-zone soil moisture simulations with in situ measurements from 9 km SMAP core validation sites and sparse networks, from May 2015 to December 2016. The Sentinel-1 assimilation consistently improved surface soil moisture, whereas root-zone impacts were mostly neutral. Relatively larger improvements were obtained from SMAP assimilation. The joint assimilation of SMAP and Sentinel-1 observations performed best, demonstrating the complementary value of radar and radiometer observations.

  11. SMAP Impact Analysis of Early Adopter Research-Two Case studies on the scientific and societal benefits of SMAP data

    NASA Astrophysics Data System (ADS)

    Escobar, V. M.; Wu, H. T.; Moran, S.; O'Neill, P. E.

    2016-12-01

    To document and evaluate the use of SMAP science products in applications, the SMAP Phase E Applications Plan proposes to "conduct case studies to address a basic question: How are SMAP science products used in decision support systems and how does the new data stream affect the system performance?" The objective is to determine the value of SMAP data to the six categories of applications based on Early Adopters' experiences, where value is defined as the scientific and/or societal benefit. Since SMAP is the first mission with a pre-launch Early Adopter Program, the post-launch case study is also unprecedented. In this talk, we will show some results of the SMAP Early Adopters, with focus on the two case studies in the applications of agriculture and weather forecasting, respectively. For agriculture, we will show the work of USDA/NASS (National Agriculture Statistics Service) scientists (Zhengwei Yang and Rick Mueller). Using SMAP soil moisture products, they have been working on the establishment of a visualization, analytics, and dissemination tool to support and improve US national crop condition monitoring. Scientifically, this study will improve our understanding on the impact of crop canopy on the SMAP SM retrieval and on the mapping relation between SMAP SM and NASS soil moisture survey results. Socio-economically, the use of SMAP data and web-based tool will improve the consistency, reliability, objectivity, and efficiency of cropland soil moisture monitoring and assessment, which will benefit the current end users of the NASS weekly report including farmers, insurance companies, and financial institutes. For weather, we will show the work of NOAA scientists (Xiwu Zhan, Weizhong Zheng, and Mike Ek) on the transition of NASA SMAP research products to NOAA operational numerical weather and seasonal climate predictions and research hydrological forecasts. Results of initial analyses and validation of the assimilation of SMAP soil moisture in NOAA's Global

  12. Soil Moisture Active Passive Mission L4_SM Data Product Assessment (Version 2 Validated Release)

    NASA Technical Reports Server (NTRS)

    Reichle, Rolf Helmut; De Lannoy, Gabrielle J. M.; Liu, Qing; Ardizzone, Joseph V.; Chen, Fan; Colliander, Andreas; Conaty, Austin; Crow, Wade; Jackson, Thomas; Kimball, John; Koster, Randal D.; Smith, E. Brent

    2016-01-01

    During the post-launch SMAP calibration and validation (Cal/Val) phase there are two objectives for each science data product team: 1) calibrate, verify, and improve the performance of the science algorithm, and 2) validate the accuracy of the science data product as specified in the science requirements and according to the Cal/Val schedule. This report provides an assessment of the SMAP Level 4 Surface and Root Zone Soil Moisture Passive (L4_SM) product specifically for the product's public Version 2 validated release scheduled for 29 April 2016. The assessment of the Version 2 L4_SM data product includes comparisons of SMAP L4_SM soil moisture estimates with in situ soil moisture observations from core validation sites and sparse networks. The assessment further includes a global evaluation of the internal diagnostics from the ensemble-based data assimilation system that is used to generate the L4_SM product. This evaluation focuses on the statistics of the observation-minus-forecast (O-F) residuals and the analysis increments. Together, the core validation site comparisons and the statistics of the assimilation diagnostics are considered primary validation methodologies for the L4_SM product. Comparisons against in situ measurements from regional-scale sparse networks are considered a secondary validation methodology because such in situ measurements are subject to up-scaling errors from the point-scale to the grid cell scale of the data product. Based on the limited set of core validation sites, the wide geographic range of the sparse network sites, and the global assessment of the assimilation diagnostics, the assessment presented here meets the criteria established by the Committee on Earth Observing Satellites for Stage 2 validation and supports the validated release of the data. An analysis of the time average surface and root zone soil moisture shows that the global pattern of arid and humid regions are captured by the L4_SM estimates. Results from the

  13. The Relationship of Temporal Variations in SMAP Vegetation Optical Depth to Plant Hydraulic Behavior

    NASA Astrophysics Data System (ADS)

    Konings, A. G.

    2016-12-01

    The soil emissions measured by L-band radiometers such as that on the NASA Soil Moisture Active/Passive mission are modulated by vegetation cover as quantified by the soil scattering albedo and the vegetation optical depth (VOD). The VOD is linearly proportional to the total vegetation water content, which is dependent on both the biomass and relative water content of the plant. Biomass is expected to vary more slowly than water content. Variations in vegetation water content are highly informative as they are directly indicative of the degree of hydraulic stress (or lack thereof) experienced by the plant. However, robust retrievals are needed in order for SMAP VOD observations to be useful. This is complicated by the fact that multiple unknowns (soil moisture, VOD, and albedo) need to be determined from two highly correlated polarizations. This presentation will discuss the application to SMAP of a recently developed timeseries algorithm for VOD and albedo retrieval - the Multi-Temporal Dual Channel Algorithm MTDCA, and its interpretation for plant hydraulic applications. The MT-DCA is based on the assumption that, for consecutive overpasses at a given time of day, VOD varies more slowly than soil moisture. A two-overpass moving average can then be used to determine variations in VOD that are less sensitive to high-frequency noise than classical dual-channel algorithms. Seasonal variations of SMAP VOD are presented and compared to expected patterns based on rainfall and radiation seasonality. Taking advantage of the large diurnal variation (relative to the seasonal variation) of canopy water potention, diurnal variations (between 6AM and 6PM observations) of SMAP VOD are then used to calculate global variations in ecosystem-scale isohydricity - the degree of stomatal closure and xylem conductivity loss in response to water stress. Lastly, the effect of satellite sensing frequency and overpass time on water content across canopies of different height will be

  14. Pre-launch Research to Integrate NASA SMAP Soil Moisture and Freeze/Thaw State Products in Applications

    NASA Astrophysics Data System (ADS)

    Moran, S. M.; Bilair, S.; Isaksen, L.; de Rosnay, P.; Zhan, X.; Ghedira, H.; Yang, Z.; Mueller, R.; Ines, A. M.; Zebiak, S. E.; Champagne, C.; Brown, M.; Escobar, V.; Weiss, B.

    2011-12-01

    The SMAP Mission is currently planned for launch in late 2014 to provide global measurements of soil moisture and freeze/thaw state. For mission planning, a Testbed Facility is in place to test software that will be used to automatically generate the science data products once SMAP is in orbit. Early distribution of a subset of these testbed data products and calibration/validation data sets to SMAP "Early Adopters" has enabled pre-launch applications research. Early Adopters are those groups who have a direct need for SMAP-like soil moisture or freeze/thaw data, and who are planning to apply their own resources to demonstrate the utility of SMAP data for their particular system or model. A set of 7 SMAP Early Adopters were selected in March 2011, with applications including weather forecasts, food security and mapping dust emissions [http://smap.jpl.nasa.gov/files/smap2/adopter1.pdf]. Research projects will be completed with quantitative metrics prior to the launch of SMAP. The feedback from these projects is providing a fundamental understanding of how SMAP data products can be scaled and integrated into hydrologic applications to improve decision-making. A second round of selections for SMAP Early Adopters is planned for February 2012.

  15. Analysis of in situ resources of for the Soil Moisture Active Passive Validation Experiments in 2015 and 2016

    USDA-ARS?s Scientific Manuscript database

    With the launch of the Soil Moisture Active Passive Mission (SMAP) in 2015, a new era of soil moisture monitoring was begun. Soil moisture is available on a near daily basis at a 36 km resolution for the globe. But this dataset is only as valuable if its products are accurate and reliableas its acc...

  16. SMAP Faraday Rotation

    NASA Technical Reports Server (NTRS)

    Le Vine, David

    2016-01-01

    Faraday rotation is a change in the polarization as signal propagates through the ionosphere. At L-band it is necessary to correct for this change and measurements are made on the spacecraft of the rotation angle. These figures show that there is good agreement between the SMAP measurements (blue) and predictions based on models (red).

  17. Inter-comparison of SMAP, SMOS and Aquarius L-band brightness temperature observations

    USDA-ARS?s Scientific Manuscript database

    Verifying the calibration of the SMAP radiometer over land observations is an important mission requirement. Inter-comparison of L-band brightness temperature observations from different satellites (SMAP, SMOS and Aquarius) is a useful tool for radiometer calibration. Brightness temperatures observa...

  18. Validation and Scaling of Soil Moisture in a Semi-Arid Environment: SMAP Validation Experiment 2015 (SMAPVEX15)

    NASA Technical Reports Server (NTRS)

    Colliander, Andreas; Cosh, Michael H.; Misra, Sidharth; Jackson, Thomas J.; Crow, Wade T.; Chan, Steven; Bindlish, Rajat; Chae, Chun; Holifield Collins, Chandra; Yueh, Simon H.

    2017-01-01

    The NASA SMAP (Soil Moisture Active Passive) mission conducted the SMAP Validation Experiment 2015 (SMAPVEX15) in order to support the calibration and validation activities of SMAP soil moisture data products. The main goals of the experiment were to address issues regarding the spatial disaggregation methodologies for improvement of soil moisture products and validation of the in situ measurement upscaling techniques. To support these objectives high-resolution soil moisture maps were acquired with the airborne PALS (Passive Active L-band Sensor) instrument over an area in southeast Arizona that includes the Walnut Gulch Experimental Watershed (WGEW), and intensive ground sampling was carried out to augment the permanent in situ instrumentation. The objective of the paper was to establish the correspondence and relationship between the highly heterogeneous spatial distribution of soil moisture on the ground and the coarse resolution radiometer-based soil moisture retrievals of SMAP. The high-resolution mapping conducted with PALS provided the required connection between the in situ measurements and SMAP retrievals. The in situ measurements were used to validate the PALS soil moisture acquired at 1-km resolution. Based on the information from a dense network of rain gauges in the study area, the in situ soil moisture measurements did not capture all the precipitation events accurately. That is, the PALS and SMAP soil moisture estimates responded to precipitation events detected by rain gauges, which were in some cases not detected by the in situ soil moisture sensors. It was also concluded that the spatial distribution of the soil moisture resulted from the relatively small spatial extents of the typical convective storms in this region was not completely captured with the in situ stations. After removing those cases (approximately10 of the observations) the following metrics were obtained: RMSD (root mean square difference) of0.016m3m3 and correlation of 0.83. The

  19. Advanced Passive Microwave Radiometer Technology for GPM Mission

    NASA Technical Reports Server (NTRS)

    Smith, Eric A.; Im, Eastwood; Kummerow, Christian; Principe, Caleb; Ruf, Christoper; Wilheit, Thomas; Starr, David (Technical Monitor)

    2002-01-01

    An interferometer-type passive microwave radiometer based on MMIC receiver technology and a thinned array antenna design is being developed under the Instrument Incubator Program (TIP) on a project entitled the Lightweight Rainfall Radiometer (LRR). The prototype single channel aircraft instrument will be ready for first testing in 2nd quarter 2003, for deployment on the NASA DC-8 aircraft and in a ground configuration manner; this version measures at 10.7 GHz in a crosstrack imaging mode. The design for a two (2) frequency preliminary space flight model at 19 and 35 GHz (also in crosstrack imaging mode) has also been completed, in which the design features would enable it to fly in a bore-sighted configuration with a new dual-frequency space radar (DPR) under development at the Communications Research Laboratory (CRL) in Tokyo, Japan. The DPR will be flown as one of two primary instruments on the Global Precipitation Measurement (GPM) mission's core satellite in the 2007 time frame. The dual frequency space flight design of the ERR matches the APR frequencies and will be proposed as an ancillary instrument on the GPM core satellite to advance space-based precipitation measurement by enabling better microphysical characterization and coincident volume data gathering for exercising combined algorithm techniques which make use of both radar backscatter and radiometer attenuation information to constrain rainrate solutions within a physical algorithm context. This talk will discuss the design features, performance capabilities, applications plans, and conical/polarametric imaging possibilities for the LRR, as well as a brief summary of the project status and schedule.

  20. Ocean Products from the SMAP Radiometer: Surface Salinity and Wind Speeds

    NASA Astrophysics Data System (ADS)

    Meissner, T.; Wentz, F. J.; Scott, J. P.

    2015-12-01

    Though designed to measure soil moisture, the SMAP radiometer is an excellent sensor to measure sea surface salinity and sea surface wind speed. It is possible to retrieve both quantities from passive SMAP observations without using the SMAP radar, whose transmitter likely failed in July 2015. With the demise of Aquarius the ability of the SMAP sensor to measure ocean salinity has gained importance. The main part of our presentation discusses the adaption of the Aquarius salinity retrieval algorithm to SMAP. It includes corrections for spurious signals coming from cold space, the galaxy, the sun and the moon as well as sidelobe and cross polarization effects from the SMAP antenna. Based on Aquarius observations, we have developed a radiative transfer model that characterizes the surface emission of a wind roughened ocean. Our surface roughness correction for the SMAP salinity retrieval will use match-ups of SMAP radiometer observations and surface wind speeds from WindSat or SSMIS. Our presentation will also address several important differences between the Aquarius and SMAP sensors that impact the ocean salinity retrievals. The full 360o look capability of SMAP makes it possible to take observations from the forward and backward looking direction basically at the same instance of time. We expect that this two-look capability will strongly aid the salinity retrievals. It will be possible to observe some of the spurious contamination sources like the reflected galaxy or the reflected sun from two different directions. Finally, we will address the capability to measure ocean surface wind speed with the SMAP radiometer. As it has been demonstrated with Aquarius and SMOS the L-band passive ocean surface emission exhibits very good sensitivity to surface wind speeds to at least 35 m/s and it is very little affected by precipitation. This allows the retrieval of ocean surface winds, in particular in storms and even under rainy conditions.

  1. Utilization of Airborne and in Situ Data Obtained in SGP99, SMEX02, CLASIC and SMAPVEX08 Field Campaigns for SMAP Soil Moisture Algorithm Development and Validation

    NASA Technical Reports Server (NTRS)

    Colliander, Andreas; Chan, Steven; Yueh, Simon; Cosh, Michael; Bindlish, Rajat; Jackson, Tom; Njoku, Eni

    2010-01-01

    Field experiment data sets that include coincident remote sensing measurements and in situ sampling will be valuable in the development and validation of the soil moisture algorithms of the NASA's future SMAP (Soil Moisture Active and Passive) mission. This paper presents an overview of the field experiment data collected from SGP99, SMEX02, CLASIC and SMAPVEX08 campaigns. Common in these campaigns were observations of the airborne PALS (Passive and Active L- and S-band) instrument, which was developed to acquire radar and radiometer measurements at low frequencies. The combined set of the PALS measurements and ground truth obtained from all these campaigns was under study. The investigation shows that the data set contains a range of soil moisture values collected under a limited number of conditions. The quality of both PALS and ground truth data meets the needs of the SMAP algorithm development and validation. The data set has already made significant impact on the science behind SMAP mission. The areas where complementing of the data would be most beneficial are also discussed.

  2. Boreal Inundation Mapping with SMAP Radiometer Data for Methane Studies

    NASA Astrophysics Data System (ADS)

    Kim, Seungbum; Brisco, Brian; Poncos, Valentin

    2017-04-01

    Inundation and consequent anoxic condition induce methane release, which is one of the most potent greenhouse gases. Boreal regions contain large amounts of organic carbon, which is a potentially major methane emission source under climatic warming conditions. Boreal wetlands in particular are one of the largest sources of uncertainties in global methane budget. Wetland spatial extent together with the gas release rate remains highly unknown. Characterization of the existing inundation database is poor, because of the inundation under clouds and dense vegetation. In this work, the inundation extent is derived using brightness temperature data acquired by the L-band Soil Moisture Active Passive (SMAP) satellite, which offers the L-band capabilities to penetrate clouds and vegetation at 3-day revisit. The fidelity of the SMAP watermask is assessed as a first step in this investigation by comparing with the following data sets: 3-m resolution maps derived using Radarsat synthetic aperture radar (SAR) data in northern Canada and multi-sensor climatology over Siberia. Because Radarsat coverages are limited despite its high spatial resolution, at the time and location where Radarsats are not available, we also compare with 3-km resolution SMAP SAR data that are concurrent with the SMAP radiometer data globally until July 2015. Inundation extents were derived with Radarsat, SMAP SAR, and SMAP radiometer over the 60 km x 60km area at Peace Athabasca Delta (PAD), Canada on 6 days in spring and summer 2015. The SMAP SAR results match the locations of Radarsat waterbodies. However, the SMAP SAR underestimates the water extent, mainly over mixed pixels that have subpixel land presence. The threshold value (-3 dB) applied to the SMAP SAR was determined previously over the global domain. The threshold is dependent on the type of local landcover within a mixed pixel. Further analysis is needed to locally optimize the threshold. The SMAP radiometer water fraction over Peace

  3. Impact of urban cover fraction on SMOS and SMAP surface soil moisture retrieval

    NASA Astrophysics Data System (ADS)

    Ye, N.; Walker, J. P.; Rudiger, C.; Ryu, D.; Gurney, R.

    2011-12-01

    L-band (~1.4 GHz) microwave radiometry has been widely acknowledged as the most promising technique for surface (top ~5cm) soil moisture observation at regional and global scales, due to its all weather capability, direct relationship to soil moisture, and reduced sensitivity to surface roughness and vegetation. Radiometer observations of microwave emission from the soil surface are used to estimate soil moisture through a radiative transfer model using ancillary information including land cover and soil properties etc. This technique has been applied to the ESA's (European Space Agency) Soil Moisture and Ocean Salinity (SMOS) satellite, the first soil moisture dedicated space mission, launched on 2nd Nov. 2009. Similarly, radiometer techniques will be employed by NASA's (National Aeronautics and Space Administration) Soil Moisture Active and Passive (SMAP) mission, in both the passive and active-passive products. However, passive microwave soil moisture retrieval suffers from land surface heterogeneity at coarse scales; with the radiometer footprints of both missions being ~40 km, which is the best spatial resolution currently achievable using current satellite antenna technology. In order to achieve the ~0.04 m3/m3 target volumetric soil moisture accuracies at such scales, microwave contributions of non-soil targets (such as urban areas) within the sensors' field-of-view needs to be considered in the retrieval algorithm error budget and implementation, since the impact could potentially be significant if ignored. Currently there is a lack of knowledge on the microwave behaviour of non-soil targets, with little assessment of their microwave emissions and impact on satellite scale footprints. Therefore, the objectives of this study are to 1) investigate the relationship between urban induced brightness temperature uncertainties and urban fraction, 2) extract urban fraction thresholds for negligible brightness temperature impact by urban areas based on the SMOS and

  4. Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains

    USGS Publications Warehouse

    Velpuri, Naga Manohar; Senay, Gabriel B.; Morisette, Jeffrey T.

    2016-01-01

    Level 3 soil moisture datasets from the recently launched Soil Moisture Active Passive (SMAP) satellite are evaluated for drought monitoring in rangelands.Validation of SMAP soil moisture (SSM) with in situ and modeled estimates showed high level of agreement.SSM showed the highest correlation with surface soil moisture (0-5 cm) and a strong correlation to depths up to 20 cm.SSM showed a reliable and expected response of capturing seasonal dynamics in relation to precipitation, land surface temperature, and evapotranspiration.Further evaluation using multi-year SMAP datasets is necessary to quantify the full benefits and limitations for drought monitoring in rangelands.

  5. Technical Report Series on Global Modeling and Data Assimilation. Volume 42; Soil Moisture Active Passive (SMAP) Project Calibration and Validation for the L4_C Beta-Release Data Product

    NASA Technical Reports Server (NTRS)

    Koster, Randal D. (Editor); Kimball, John S.; Jones, Lucas A.; Glassy, Joseph; Stavros, E. Natasha; Madani, Nima (Editor); Reichle, Rolf H.; Jackson, Thomas; Colliander, Andreas

    2015-01-01

    During the post-launch Cal/Val Phase of SMAP there are two objectives for each science product team: 1) calibrate, verify, and improve the performance of the science algorithms, and 2) validate accuracies of the science data products as specified in the L1 science requirements according to the Cal/Val timeline. This report provides analysis and assessment of the SMAP Level 4 Carbon (L4_C) product specifically for the beta release. The beta-release version of the SMAP L4_C algorithms utilizes a terrestrial carbon flux model informed by SMAP soil moisture inputs along with optical remote sensing (e.g. MODIS) vegetation indices and other ancillary biophysical data to estimate global daily NEE and component carbon fluxes, particularly vegetation gross primary production (GPP) and ecosystem respiration (Reco). Other L4_C product elements include surface (<10 cm depth) soil organic carbon (SOC) stocks and associated environmental constraints to these processes, including soil moisture and landscape FT controls on GPP and Reco (Kimball et al. 2012). The L4_C product encapsulates SMAP carbon cycle science objectives by: 1) providing a direct link between terrestrial carbon fluxes and underlying freeze/thaw and soil moisture constraints to these processes, 2) documenting primary connections between terrestrial water, energy and carbon cycles, and 3) improving understanding of terrestrial carbon sink activity in northern ecosystems.

  6. Analysis Of SMAP Descending And Ascending Scatterometer Observations And Linkage To Possible Vegetation Moisture Refill

    NASA Astrophysics Data System (ADS)

    Akbar, R.; Konings, A. G.; Entekhabi, D.

    2016-12-01

    Diurnal variations in radar backscatter are strong indicators of various underlying geophysical processes. With strong dependence on geographical location as well as overlaying vegetation type and amount, processes such as vegetation moisture refill, plant water stress, dew accumulation, surface soil moisture dynamics, and wind can affect morning and evening backscatter observations. Two and half months of science grade scatterometer data (L1B_S0_LowRes data product) from the NASA Soil Moisture Active-Passive (SMAP) mission are available for analysis. For each day, up to 15 Descending ("6 am" local time) and 15 Ascending ("6 pm" local time) half-orbits exists with am-pm overlaps covering approximately 30% of global land area. Analysis of these descending and ascending half-orbit observations show a diurnal backscatter difference of 0.5 dB over the Amazon and central African, and up to 1.5 dB in central Asian plains. The presentation and discussion will focus on attributing SMAP diurnal radar observation differences to the underlying geophysical processes while isolating instrument and orbital effects.Special emphasis and focused will be placed on densely vegetated regions and croplands where L-band radar backscatter is primary dominated by vegetation scattering rather than surface contributions.

  7. SMAP observes flooding from land to sea: The Texas event of 2015

    NASA Astrophysics Data System (ADS)

    Fournier, Severine; Reager, John; Lee, Tong; Vazquez-Cuervo, Jorge; David, Cedric; Gierach, Michelle

    2017-04-01

    Floods can have damaging impacts on both land and sea, yet studies of flooding events tend to focus on only one side of the land/sea continuum. Here we present the first two-sided analysis, focusing on the May 2015 severe flood in Texas. Our investigation benefits from simultaneous measurements of land-surface soil moisture and sea surface salinity from NASA's recent Soil Moisture Active Passive (SMAP) mission as well as ancillary data. We report the comprehensive chronology of the flood event: above average rainfall preceding the flood caused soils to saturate; record rainfall then generated record river discharge; subsequently, an unusual freshwater plume associated with anomalous ocean currents formed in the north-central Gulf of Mexico. Together with the Mississippi River plume further east, the Texas plume created a rare "horseshoe" pattern that have potential biogeochemical implications. Such integrated land/sea analysis of flood evolution can improve impact assessments of future extreme flooding events.

  8. SMAP observes flooding from land to sea: The Texas event of 2015

    NASA Astrophysics Data System (ADS)

    Fournier, S.; Reager, J. T.; Lee, T.; Vazquez-Cuervo, J.; David, C. H.; Gierach, M. M.

    2016-10-01

    Floods can have damaging impacts on both land and sea, yet studies of flooding events tend to focus on only one side of the land/sea continuum. Here we present the first two-sided analysis, focusing on the May 2015 severe flooding in Texas. Our investigation benefits from simultaneous measurements of land surface soil moisture and sea surface salinity from NASA's recent Soil Moisture Active Passive (SMAP) mission as well as ancillary data. We report the comprehensive chronology of the flooding: above average rainfall preceding the flood caused soils to saturate; record rainfall then generated record river discharge; and subsequently, an unusual freshwater plume associated with anomalous ocean currents formed in the north central Gulf of Mexico. Together with the Mississippi River plume, a rare "horseshoe" pattern was created that may have significant biogeochemical implications. Such integrated land/sea analysis of flood evolution can improve impact assessments of future extreme flooding events.

  9. Fraction of the global water cycle observed by SMAP

    NASA Astrophysics Data System (ADS)

    Mccoll, K. A.; Entekhabi, D.; Alemohammad, S. H.; Akbar, R.; Konings, A. G.; Yueh, S. H.

    2016-12-01

    Sparse and uneven observations have made it difficult to quantify the global distribution and dynamics of surface soil moisture (SSM). Using a full year of global observations from NASA's Soil Moisture Active Passive (SMAP) mission, we show here that SSM - a storage believed to make up less than 0.001% of the global freshwater budget by volume, and equivalent to an, on average, 8-mm thin layer of water covering all land surfaces - plays a very significant role in the water cycle, retaining a median 16% of precipitation falling on land after 3 days. Furthermore, the retained fraction of the SSM storage after 3 days is highest (lowest) over arid (wet) regions, and in regions where drainage to groundwater storage is lowest (highest). The retained fraction decreases monotonically with increasing mean SSM. Regions of low retained fraction broadly correspond spatially with regions where groundwater recharge and groundwater storage are both largest. These analyses are the first global estimates - derived from measurements rather than models - of both the mean magnitude and memory time scales of the SSM storage. Beyond the fundamental importance of characterizing the magnitude and response time scales of Earth's water storages, a key application of these results is in identifying regions with strong land-atmosphere coupling. Significant soil moisture memory is a necessary condition for land-atmosphere feedbacks. These results may therefore have particularly important implications for short-term weather forecasting of extreme precipitation events and floods.

  10. Early results of the Soil Moisture Active Passive Validation Experiment (SMAPVEX15)

    NASA Astrophysics Data System (ADS)

    Cosh, M. H.; Jackson, T. J.; Colliander, A.; Goodrich, D. C.; Holifield Collins, C.; McKee, L.; Kim, S.; Yueh, S. H.

    2015-12-01

    In August of 2015, the Soil Moisture Active Passive Validation Experiment (SMAPVEX15) was conducted to provide a high resolution soil moisture dataset for the calibration/validation of the Soil Moisture Active Passive Mission (SMAP). The Upper San Pedro River Basin and the USDA-ARS Walnut Gulch LTAR Watershed provides the infrastructure for the experiment with its extensive soil moisture and soil temperature network. A total of seven aircraft flights are planned for the Passive Active L-Band Scanning instrument (PALS) to provide a high resolution soil moisture map for a variety of soil moisture conditions across the domain. Extensive surface roughness, vegetation and soil rock fraction mapping was conducted to provide a ground truth estimate of the many ancillary datasets used in the SMAP soil moisture algorithms. A review of the methodologies employed in the experiment, as well as initial findings will be discussed.

  11. Callibration and validation of SMAP soil moisture and coordination with other satelitte products

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) satellite will launch in November 2014 and will provide a suite of soil moisture products at three spatial resolutions (3, 9 and 36 km). The coarsest resolution product is based only on the passive microwave observations and the algorithm being utilized has he...

  12. Devastating Carolina Floods Viewed by NASA SMAP

    NASA Image and Video Library

    2015-10-08

    Surface soil moisture in the Southeastern United States as retrieved from NASA's Soil Moisture Active Passive (SMAP) satellite observatory at around 6 a.m. on Oct. 5, 2015. Large parts of South Carolina appear blue, representing the impact of heavy localized rains and flooding. Regions in blue indicate areas with saturated soil conditions and possible standing water. Large-scale flooding was experienced all over South Carolina on Oct. 5-6, 2015. As of Oct. 7, 17 deaths had been attributed to these floods, with heavy economic losses. In some regions, the intensity of these floods was described as a 1,000-year storm (1-in-1,000 chance of happening in any given year). At least 14 dams have already failed as a result of these floods. http://photojournal.jpl.nasa.gov/catalog/PIA20001

  13. SMAP's Radar OBP Algorithm Development

    NASA Technical Reports Server (NTRS)

    Le, Charles; Spencer, Michael W.; Veilleux, Louise; Chan, Samuel; He, Yutao; Zheng, Jason; Nguyen, Kayla

    2009-01-01

    An approach for algorithm specifications and development is described for SMAP's radar onboard processor with multi-stage demodulation and decimation bandpass digital filter. Point target simulation is used to verify and validate the filter design with the usual radar performance parameters. Preliminary FPGA implementation is also discussed.

  14. Hurricane Harvey's Rapid Wind Intensification seen by NASA's SMAP

    NASA Image and Video Library

    2017-08-28

    The rapid intensification of Hurricane Harvey is seen in this pair of images of ocean surface wind speeds as observed by the radiometer instrument aboard NASA's Soil Moisture Active Passive (SMAP) satellite at 7:29 a.m. CDT Aug. 24th, 2017 (left) and at 7 p.m. CDT Aug. 26th (right). Color indicates wind speed, with red being highest and blue lowest. The images show Harvey's maximum wind speeds increased from approximately 56 miles per hour (25 meters per second) to about 107 miles per hour (47.8 meters per second) in the 36 hours just before landfall. The higher wind speeds estimated near the mouth of the Mississippi River are erroneous and are due to errors in the ancillary sea-surface-salinity data product used by SMAP to estimate extreme wind speeds. https://photojournal.jpl.nasa.gov/catalog/PIA21884

  15. The SoilSCAPE Network Multiscale In-situ Soil Moisture Measurements: Innovations in Network Design and Approaches to Upscaling in Support of SMAP

    NASA Astrophysics Data System (ADS)

    Moghaddam, M.; Clewley, D.; Silva, A.; Akbar, R.

    2014-12-01

    The Soil Moisture Active Passive (SMAP) mission will provide soil moisture at 3, 9, and 36 km scales through the use of radar and radiometer data. To validate SMAP products, in-situ sensors are required. Typically, validation plans consist of several sensors installed nearly uniformly in the scene. To upscale the soil moisture estimates to the scales of SMAP products requires a large number of sensors, distributed throughout the instrument footprint. Even for the higher resolution SMAP products (3 km) there are often insufficient sensors available within a resolution cell. The Soil moisture Sensing Controller and oPtimal Estimator (SoilSCAPE) project provides a new adaptive validation strategy, including upscaled estimates of soil moisture. By utilizing smarter network technology and optimized sensor placement, more representative measurements of soil moisture are obtained, at a range of spatial scales with lower costs than traditional networks. A large network was established around the Tonzi Ranch site in central California. The network design comprises multiple sites, each with a 10-30 node cluster taking measurements from up to 4 sensors installed at different depths. The nodes wirelessly communicate to a Local Coordinator, which collects data and transmits to a server (http://soilscape.usc.edu). Each node can communicate with the Coordinator up to a distance of 400m. Each station supports up to 60 nodes. Currently 111 nodes have been installed over 6 sites. The SoilSCAPE nonuniform placement of sensors requires novel upscaling methods. Previous studies have used regression, which works well when the measurement is well correlated with other variables. However, soil moisture dependence on various variables could be complex and nonlinear. To account for such complexities, we use the Random Forests algorithm, which is capable of modeling complex non-linear system and can handle continuous and categorical data. The algorithm has not previously been applied to

  16. Development of sensitive long-wave infrared detector arrays for passively cooled space missions

    NASA Astrophysics Data System (ADS)

    McMurtry, Craig; Lee, Donald; Beletic, James; Chen, Chi-Yi A.; Demers, Richard T.; Dorn, Meghan; Edwall, Dennis; Fazar, Candice Bacon; Forrest, William J.; Liu, Fengchuan; Mainzer, Amanda K.; Pipher, Judith L.; Yulius, Aristo

    2013-09-01

    The near-earth object camera (NEOCam) is a proposed infrared space mission designed to discover and characterize most of the potentially hazardous asteroids larger than 140 m in diameter that orbit near the Earth. NASA has funded technology development for NEOCam, including the development of long wavelength infrared detector arrays that will have excellent zodiacal background emission-limited performance at passively cooled focal plane temperatures. Teledyne Imaging Sensors has developed and delivered for test at the University of Rochester the first set of approximately 10 μm cutoff, 1024×1024 pixel HgCdTe detector arrays. Measurements of these arrays show the development to be extremely promising: noise, dark current, quantum efficiency, and well depth goals have been met by this technology at focal plane temperatures of 35 to 40 K, readily attainable with passive cooling. The next set of arrays to be developed will address changes suggested by the first set of deliverables.

  17. Radio Frequency Interference Mitigation for the Planned SMAP Radar and Radiometer

    NASA Technical Reports Server (NTRS)

    Spencer, Michael; Chan, Samuel; Belz, Eric; Piepmeier, Jeffrey; Mohammed, Priscilla; Kim, Edward; Johnson, Joel T.

    2011-01-01

    NASA's planned SMAP mission will utilize a radar operating in a band centered on 1.26 GHz and a co-observing radiometer operating at 1.41 GHz to measure surface soil moisture. Both the radar and radiometer sub-systems are susceptible to radio frequency interference (RFI). Any significant impact of such interference requires mitigation in order to avoid degradation in the SMAP science products. Studies of RFT detection and mitigation methods for both the radar and radiometer are continuing in order to assess the risk to mission products and to refine the performance achieved.

  18. Evaluation of the validated soil moisture product from the SMAP radiometer

    USDA-ARS?s Scientific Manuscript database

    In this study, we used a multilinear regression approach to retrieve surface soil moisture from NASA’s Soil Moisture Active Passive (SMAP) satellite data to create a global dataset of surface soil moisture which is consistent with ESA’s Soil Moisture and Ocean Salinity (SMOS) satellite retrieved sur...

  19. Evaluating soil moisture retrievals from ESA's SMOS and NASA's SMAP brightness temperature datasets

    USDA-ARS?s Scientific Manuscript database

    Two satellites are currently monitoring surface soil moisture (SM) from L-band observations: SMOS (Soil Moisture and Ocean Salinity), a European Space Agency (ESA) satellite that was launched on November 2, 2009 and SMAP (Soil Moisture Active Passive), a National Aeronautics and Space Administration...

  20. Soil moisture sensor intercomparisons at the SMAP marena in situ testbed

    USDA-ARS?s Scientific Manuscript database

    In May 2010, a soil moisture sensor intercomparison study was begun in Marena, Oklahoma. This effort is designed to serve as a foundation for incorporating diverse soil moisture networks into the Soil Moisture Active Passive (SMAP) Calibration and Validation program. Various soil moisture sensors, w...

  1. Passive Aerogravity Assisted Trajectories for a Mars Atmospheric Sample Return Mission

    NASA Technical Reports Server (NTRS)

    Sklyanskiy, Evgeniy; You, Tung-Han; Cheatwood, Neil; Dwyer Cianciolo, Alicia; Bowes, Angela

    2011-01-01

    A number of studies have demonstrated that aerodynamic lift during a planetary low-altitude atmospheric flyby can increase the V(sub infinity) bending angle and the total delta V achievable from gravity assist. Aero-Gravity Assist (AGA) trajectories of this type require a significantly high spacecraft L/D (lift-to-drag) ratio and a fairly robust closed-loop guidance algorithm capable of providing a desired control authority for level, nearly constant-altitude atmospheric flight. The AGA concept has been described in some previous publications as one of the techniques for Mars and Venus atmospheric sample return mission design strategies. Recent analysis has demonstrated that passive, ballistic (zero-lift) aeropass trajectories could equally satisfy potential future sample return mission objectives and provide quite robust and simple alternatives to a complex guided AGA lifting trajectory design.

  2. Compact, passively Q-switched Nd:YAG laser for the MESSENGER mission to Mercury.

    PubMed

    Krebs, Danny J; Novo-Gradac, Anne-Marie; Li, Steven X; Lindauer, Steven J; Afzal, Robert S; Yu, Anthony W

    2005-03-20

    A compact, passively Q-switched Nd:YAG laser has been developed for the Mercury Laser Altimeter, an instrument on the Mercury Surface, Space Environment, Geochemistry, and Ranging mission to the planet Mercury. The laser achieves 5.4% efficiency with a near-diffraction-limited beam. It passed all space-flight environmental tests at subsystem, instrument, and satellite integration testing and successfully completes a postlaunch aliveness check en route to Mercury. The laser design draws on a heritage of previous laser altimetry missions, specifically the Ice Cloud and Elevation Satellite and the Mars Global Surveyor, but incorporates thermal management features unique to the requirements of an orbit of the planet Mercury.

  3. Surface Flooding from Hurricane Harvey Shown in New SMAP Imagery

    NASA Image and Video Library

    2017-08-30

    A new series of images generated with data from NASA's Soil Moisture Active Passive (SMAP) satellite illustrate the surface flooding caused by Hurricane Harvey from before its initial landfall through August 27, 2017. The SMAP observations detect the proportion of the ground covered by surface water within the satellite's field of view. The sequence of images depicts successive satellite orbital swath observations showing the surface water conditions on August 22, before Harvey's landfall (left), and then on Aug. 27, two days after landfall (middle). The resulting increase in surface flooding from record rainfall over the three-day period, shown at right, depicts regionally heavy flooding around the Houston metropolitan area. The hardest hit areas (blue and purple shades) cover more than 23,000 square miles (about 59,600 square kilometers) and indicate a more than 1,000-fold increase in surface water cover from rainfall-driven flooding. SMAP's low-frequency (L-band) microwave radiometer features enhanced capabilities for detecting surface water changes in nearly all weather conditions and under low-to-moderate vegetation cover. The satellite provides global coverage with one to three-day repeat sampling, which is well suited for monitoring dynamic inland waters around the world. https://photojournal.jpl.nasa.gov/catalog/PIA21930

  4. Monitoring Surface Soil Moisture and Freeze-Thaw State with the High-Resolution Radar of the Soil Moisture Active/Passive (SMAP) Mission

    DTIC Science & Technology

    2010-05-01

    km resolution and 6-hourly. Vegetation water content (VWC) was derived from MODIS NDVI data using a simple empirical relationship. Static fields...air temperature and precipitation ) derived from the NCEP/NCAR reanalysis project. The PWBM simulations are daily and are provided on a Northern

  5. Upscaling sparse, irregularly spaced in situ soil moisture measurements for calibration and validation of SMAP soil moisture products

    NASA Astrophysics Data System (ADS)

    Whitcomb, J.; Clewley, D.; Moghaddam, M.; Akbar, R.; Silva, A. R. D.

    2015-12-01

    There is a large difference in the footprints over which remote sensing instruments, such as the Soil Moisture Active Passive (SMAP) mission, retrieve soil moisture and that of in situ networks. Therefore a method for upscaling in situ measurements is required before they can be used to validate remote sensing instruments. The upscaling problem is made more difficult when measurements are sparse and irregularly spaced within the footprint. To address these needs, we have developed a method for producing upscaled estimates of soil moisture based on a network of in situ soil moisture measurements and airborne P-band SAR data, and utilizing a Random Forests-based regression algorithm. Sites within the SoilSCAPE network, for which the technique was developed, typically contains sensors at ~30 locations, with each location sampled at multiple depths. Measurements are taken at 20 minute intervals and averaged over a selectable time interval, thereby supporting near-real time generation of soil moisture maps. The collected measurements are automatically uploaded to a central database from which they can be accessed for use in the regression algorithm. Our regression-based approach works well with irregularly-spaced sensors by incorporating a set of data layers that correlate well with soil moisture. The layers include thematic land cover, elevation, slope, aspect, flow accumulation, clay fraction, air temperature, precipitation, and P-Band HH, VV, and HV backscatter. Values from these data layers are extracted for each sensor location and applied to train the Random Forests algorithm. The decision trees generated are then applied to estimate soil moisture at a 100 m spacing throughout the network region, after which the evenly-spaced values are averaged to accord with the 3-, 9-, and 36-km SMAP measurement grids. The resulting set of near-real time soil moisture estimates suitable for SMAP calibration and validation is placed online for use by the SMAP Cal/Val team

  6. Data Assimilation of SMAP Observations and the Impact on Weather Forecasts and Heat Stress

    NASA Technical Reports Server (NTRS)

    Zavodsky, Bradley; Case, Jonathan; Blankenship, Clay; Crosson, William; White, Khristopher

    2014-01-01

    SPoRT produces real-time LIS soil moisture products for situational awareness and local numerical weather prediction over CONUS, Mesoamerica, and East Africa ?Currently interact/collaborate with operational partners on evaluation of soil moisture products ?Drought/fire ?Extreme heat ?Convective initiation ?Flood and water borne diseases ?Initial efforts to assimilate L2 soil moisture observations from SMOS (as a precursor for SMAP) have been successful ?Active/passive blended product from SMAP will be assimilated similarly and higher spatial resolution should improve on local-scale processes

  7. Airborne active and passive L-band measurements using PALS instrument in SMAPVEX12 soil moisture field campaign

    NASA Astrophysics Data System (ADS)

    Colliander, Andreas; Yueh, Simon; Chazanoff, Seth; Dinardo, Steven; O'Dwyer, Ian; Jackson, Thomas; McNairn, Heather; Bullock, Paul; Wiseman, Grant; Berg, Aaron; Magagi, Ramata; Njoku, Eni

    2012-10-01

    NASA's (National Aeronautics and Space Administration) Soil Moisture Active Passive (SMAP) Mission is scheduled for launch in late 2014. The objective of the mission is global mapping of soil moisture and freeze/thaw state. Merging of active and passive L-band observations of the mission will enable unprecedented combination of accuracy, resolution, coverage and revisit-time for soil moisture and freeze/thaw state retrieval. For pre-launch algorithm development and validation the SMAP project and NASA coordinated a field campaign named as SMAPVEX12 (Soil Moisture Active Passive Validation Experiment 2012) together with Agriculture and Agri-Food Canada, and other Canadian and US institutions in the vicinity of Winnipeg, Canada in June-July, 2012. The main objective of SMAPVEX12 was acquisition of a data record that features long time-series with varying soil moisture and vegetation conditions over an aerial domain of multiple parallel flight lines. The coincident active and passive L-band data was acquired with the PALS (Passive Active L-band System) instrument. The measurements were conducted over the experiment domain every 2-3 days on average, over a period of 43 days. The preliminary calibration of the brightness temperatures obtained in the campaign has been performed. Daily lake calibrations were used to adjust the radiometer calibration parameters, and the obtained measurements were compared against the raw in situ soil moisture measurements. The evaluation shows that this preliminary calibration of the data produces already a consistent brightness temperature record over the campaign duration, and only secondary adjustments and cleaning of the data is need before the data can be applied to the development and validation of SMAP algorithms.

  8. Enhancing the USDA Global Crop Assessment Decision Support System Using SMAP Soil Moisture Data

    NASA Astrophysics Data System (ADS)

    Bolten, J. D.; Mladenova, I. E.; Crow, W. T.; Reynolds, C. A.

    2016-12-01

    The Foreign Agricultural Services (FAS) is a subdivision of U.S. Department of Agriculture (USDA) that is in charge with providing information on current and expected crop supply and demand estimates. Knowledge of the amount of water in the root zone is an essential source of information for the crop analysts as it governs the crop development and crop growth, which in turn determine the end-of-season yields. USDA FAS currently relies on root zone soil moisture (RZSM) estimates generated using the modified two-layer Palmer Model (PM). PM is a simple water-balance hydrologic model that is driven by daily precipitation observations and minimum and maximum temperature data. These forcing data are based on ground meteorological station measurements from the World Meteorological Organization (WMO), and gridded weather data from the former U.S. Air Force Weather Agency (AFWA), currently called U.S. Air Force 557th Weather Wing. The PM was extended by adding a data assimilation (DA) unit that provides the opportunity to routinely ingest satellite-based soil moisture observations. This allows us to adjust for precipitation-related inaccuracies and enhance the quality of the PM soil moisture estimates. The current operational DA system is based on a 1-D Ensample Kalman Filter approach and relies on observations obtained from the Soil Moisture Ocean Salinity Mission (SMOS). Our talk will demonstrate the value of assimilating two satellite products (i.e. a passive and active) and discuss work that is done in preparation for ingesting soil moisture observations from the Soil Moisture Active Passive (SMAP) mission.

  9. Assessment of SMAP soil moisture for global simulation of gross primary production

    NASA Astrophysics Data System (ADS)

    He, Liming; Chen, Jing M.; Liu, Jane; Bélair, Stéphane; Luo, Xiangzhong

    2017-07-01

    In this study, high-quality soil moisture data derived from the Soil Moisture Active Passive (SMAP) satellite measurements are evaluated from a perspective of improving the estimation of the global gross primary production (GPP) using a process-based ecosystem model, namely, the Boreal Ecosystem Productivity Simulator (BEPS). The SMAP soil moisture data are assimilated into BEPS using an ensemble Kalman filter. The correlation coefficient (r) between simulated GPP from the sunlit leaves and Sun-induced chlorophyll fluorescence (SIF) measured by Global Ozone Monitoring Experiment-2 is used as an indicator to evaluate the performance of the GPP simulation. Areas with SMAP data in low quality (i.e., forests), or with SIF in low magnitude (e.g., deserts), or both are excluded from the analysis. With the assimilated SMAP data, the r value is enhanced for Africa, Asia, and North America by 0.016, 0.013, and 0.013, respectively (p < 0.05). Significant improvement in r appears in single-cropping agricultural land where the irrigation is not considered in the model but well captured by SMAP (e.g., 0.09 in North America, p < 0.05). With the assimilation of SMAP, areas with weak model performances are identified in double or triple cropping cropland (e.g., part of North China Plain) and/or mountainous area (e.g., Spain and Turkey). The correlation coefficient is enhanced by 0.01 in global average for shrub, grass, and cropland. This enhancement is small and insignificant because nonwater-stressed areas are included.

  10. Model-based verification and validation of the SMAP uplink processes

    NASA Astrophysics Data System (ADS)

    Khan, M. O.; Dubos, G. F.; Tirona, J.; Standley, S.

    Model-Based Systems Engineering (MBSE) is being used increasingly within the spacecraft design community because of its benefits when compared to document-based approaches. As the complexity of projects expands dramatically with continually increasing computational power and technology infusion, the time and effort needed for verification and validation (V& V) increases geometrically. Using simulation to perform design validation with system-level models earlier in the life cycle stands to bridge the gap between design of the system (based on system-level requirements) and verifying those requirements/validating the system as a whole. This case study stands as an example of how a project can validate a system-level design earlier in the project life cycle than traditional V& V processes by using simulation on a system model. Specifically, this paper describes how simulation was added to a system model of the Soil Moisture Active-Passive (SMAP) mission's uplink process. Also discussed are the advantages and disadvantages of the methods employed and the lessons learned; which are intended to benefit future model-based and simulation-based development efforts.

  11. Roughness characterizations in active and passive microwave soil moisture retrieval

    NASA Astrophysics Data System (ADS)

    Gao, Ying; Walker, Jeffrey; Panciera, Rocco; Monerris, Alessandra; Ryu, Dongryeol

    2014-05-01

    Passive microwave remote sensing at L-band is widely recognized as the preferred technique to measure surface soil moisture globally, with resolution ranging from 40-100km. However, passive microwave soil moisture retrieval is highly dependent on ancillary data such as surface roughness, which is difficult to characterize at such a large footprint by ground measurement. NASA's Soil Moisture Active Passive (SMAP) mission, scheduled for launch in Nov 2014, will deploy both active and passive microwave instruments to enhance soil moisture retrieval capabilities. This provides an opportunity to characterize the roughness parameter in passive observations with active measurements. However, the roughness parameters derived from active measurements cannot be directly used in the passive soil moisture retrieval models. While roughness is usually characterized by surface Root Mean Square (RMS) height in active microwave, roughness in passive microwave is described using a parameter HR. This paper compares the two roughness parameters, retrieved from active and passive scattering and emission models respectively, using data sets from the third Soil Moisture Active Passive Experiment (SMAPEx-3) conducted in south-eastern Australia in 2011. Analysis was done over a series of grassland surfaces located within the experiment focus areas. The retrieved surface RMS heights from active measurements were validated against ground samples, after which the relationship between HR and RMS was examined.

  12. Analysis of soil moisture retrieval from airborne passive/active L-band sensor measurements in SMAPVEX 2012

    NASA Astrophysics Data System (ADS)

    Chen, Liang; Song, Hongting; Tan, Lei; Li, Yinan; Li, Hao

    2014-11-01

    Soil moisture is a key component in the hydrologic cycle and climate system. It is an important input parameter for many hydrologic and meteorological models. NASA'S upcoming Soil Moisture Active Passive (SMAP) mission, to be launched in October 2014, will address this need by utilizing passive and active microwave measurements at L-band, which will penetrate moderately dense canopies. In preparation for the SMAP mission, the Soil Moisture Validation Experiment 2012 (SMAPVEX12) was conducted from 6 June to 17 July 2012 in the Carment-Elm Creek area in Manitoba, Canada. Over a period of six weeks diverse land cover types ranging from agriculture over pasture and grassland to forested sites were re-visited several times a week. The Passive/Active L-band Sensor (PALS) provides radiometer products, vertically and horizontally polarized brightness temperatures, and radar products. Over the past two decades, successful estimation of soil moisture has been accomplished using passive and active L-band data. However, remaining uncertainties related to surface roughness and the absorption, scattering, and emission by vegetation must be resolved before soil moisture retrieval algorithms can be applied with known and acceptable accuracy using satellite observations. This work focuses on analyzing the Passive/Active L-band Sensor observations of sites covered during SMAPVEX12, investigating the observed data, parameterizing vegetation covered surface model, modeling inversion algorithm and analyzing observed soil moisture changes over the time period of six weeks. The data and analysis results from this study are aimed at increasing the accuracy and range of validity of SMAP soil moisture retrievals via enhancing the accuracy for soil moisture retrieval.

  13. Compact, Passively Q-Switched Nd:YAG Laser for the MESSENGER Mission to the Planet Mercury

    NASA Technical Reports Server (NTRS)

    Krebs, Danny J.; Novo-Gradac, Anne-Marie; Li, Steven X.; Lindauer, Steven J.; Afzal, Robert S.; Yu, Antony

    2004-01-01

    A compact, passively Q-switched Nd:YAG laser has been developed for the Mercury Laser Altimeter (MLA) instrument which is an instrument on the MESSENGER mission to the planet Mercury. The laser achieves 5.4 percent efficiency with a near diffraction limited beam. It has passed all space flight environmental tests at system, instrument, and satellite integration. The laser design draws on a heritage of previous laser altimetry missions, specifically ISESAT and Mars Global Surveyor; but incorporates thermal management features unique to the requirements of an orbit of the planet Mercury.

  14. Faraday Rotation Measurement with the SMAP Radiometer

    NASA Technical Reports Server (NTRS)

    Le Vine, D. M.; Abraham, S.

    2016-01-01

    Faraday rotation is an issue that needs to be taken into account in remote sensing of parameters such as soil moisture and ocean salinity at L-band. This is especially important for SMAP because Faraday rotation varies with azimuth around the conical scan. SMAP retrieves Faraday rotation in situ using the ratio of the third and second Stokes parameters, a procedure that was demonstrated successfully by Aquarius. This manuscript reports the performance of this algorithm on SMAP. Over ocean the process works reasonably well and results compare favorably with expected values. But over land, the inhomogeneous nature of the scene results in much noisier, and in some cases unreliable estimates of Faraday rotation.

  15. SMAP/SMOS Soil moisture brightness temperature virtual observations to study data assimilation scheme

    NASA Astrophysics Data System (ADS)

    Saavedra, P.; Simmer, C.

    2015-12-01

    A multidisciplinary research unit has been established in order to develop a data assimilation framework for coupled subsurface-land surface-atmosphere systems (SLASs), i.e. the coupled suit of models TerrSysMP comprised by ParFlow (subsurface), Community Land Model (CLM, surface), and COSMO (atmosphere). It aims to test how different kinds of observations may improve system state estimations with a focus on inter-compartmental fluxes of matter and heat energy. To that goal a simulated virtual reality (VR) catchment is being generated as a tool to test data assimilation schemes for SLAS. The virtual reality overcomes the problem of data scarcity for the different components as subsurface, soil and atmosphere in the real world and provides the full system state as a basis for the evaluation of the effectiveness of data assimilation strategies. The first version of the VR uses TerrSysMP - reduced to COSMO and CLM - to generate virtual observations such as satellite measurements, radar observations and meteorological station data. Currently VR simulations are available for a region encompassing the Neckar catchment located in south-west Germany with 1.1km horizontal resolution for the time period from 2007 to 2013. This contribution focuses on the evaluation of satellite observations of the microwave emission at L-band as observed by the current satellite missions SMAP and SMOS. By adjusting the Community Microwave Emission Model (CMEM) as a forward operator for the VR framework, a first set of virtual passive microwave observations is generated. SMAP and SMOS observations are simulated taking into account orbit characteristics, revisit times, and angular viewing geometries. The virtual observations will be statistically compared with available real observations to evaluate the degree of reality in terms of mean values and dynamic ranges. These comparisons will hint to systematic differences between TerrSysMP and reality, which need to be addressed by appropriate bias

  16. Optimizing Soil Moisture Sampling Locations for Validation Networks for SMAP

    NASA Astrophysics Data System (ADS)

    Roshani, E.; Berg, A. A.; Lindsay, J.

    2013-12-01

    Soil Moisture Active Passive satellite (SMAP) is scheduled for launch on Oct 2014. Global efforts are underway for establishment of soil moisture monitoring networks for both the pre- and post-launch validation and calibration of the SMAP products. In 2012 the SMAP Validation Experiment, SMAPVEX12, took place near Carman Manitoba, Canada where nearly 60 fields were sampled continuously over a 6 week period for soil moisture and several other parameters simultaneous to remotely sensed images of the sampling region. The locations of these sampling sites were mainly selected on the basis of accessibility, soil texture, and vegetation cover. Although these criteria are necessary to consider during sampling site selection, they do not guarantee optimal site placement to provide the most efficient representation of the studied area. In this analysis a method for optimization of sampling locations is presented which combines the state-of-art multi-objective optimization engine (non-dominated sorting genetic algorithm, NSGA-II), with the kriging interpolation technique to minimize the number of sampling sites while simultaneously minimizing the differences between the soil moisture map resulted from the kriging interpolation and soil moisture map from radar imaging. The algorithm is implemented in Whitebox Geospatial Analysis Tools, which is a multi-platform open-source GIS. The optimization framework is subject to the following three constraints:. A) sampling sites should be accessible to the crew on the ground, B) the number of sites located in a specific soil texture should be greater than or equal to a minimum value, and finally C) the number of sampling sites with a specific vegetation cover should be greater than or equal to a minimum constraint. The first constraint is implemented into the proposed model to keep the practicality of the approach. The second and third constraints are considered to guarantee that the collected samples from each soil texture categories

  17. Validation of SMAP data using Cosmic-ray Neutron Probes during the SMAPVEX16-IA Campaign

    NASA Astrophysics Data System (ADS)

    Russell, M. V.

    2016-12-01

    Global trends in consumptive water-use indicate a growing and unsustainable reliance on water resources. Each year it is estimated that 60 percent of water used for agriculture is wasted through inadequate water conservation, losses in distribution, and inappropriate times and rates of irrigation. Satellite remote sensing offers a variety of water balance datasets (precipitation, evapotranspiration, soil moisture, groundwater storage) to increase the water use efficiency in agricultural systems. In this work, we aim to validate the Soil Moisture Active Passive (SMAP) soil moisture product using the ground based cosmic-ray neutron probe (CRNP) for estimating field scale soil moisture at intermediate spatial scales as part of SMAPVEX16-IA experiment. Typical SMAP calibration and validation has been done using a combination of direct gravimetric sampling and in-situ soil moisture point observations. Although these measurements provide accurate data, it is time consuming and labor intensive to collect data over a 36 by 36 km SMAP pixel. Through a joint effort with rovers provided by the US Army Corps of Engineers and University of Nebraska-Lincoln, we are able to cover the domain in 7 hours. Data from both rovers was combined in order to produce a 1, 3, 9 and 36 km resolution product on the day of 12 SMAP overpasses in May and August 2016. Here we will describe basic QAQC procedures for estimating soil moisture from the dual rover experiment. This will include discussion about calibration, validation, and accounting for conditions such as variable road type and growing vegetation. Lastly, we will compare the calibrated rover and SMAP products. If the products are highly correlated the ground based rovers offer a strategy for collecting finer resolution products that may be used in future downscaling efforts in support of high resolution Land Surface Modeling.

  18. Advances in Assimilation of Satellite-Based Passive Microwave Observations for Soil-Moisture Estimation

    NASA Technical Reports Server (NTRS)

    De Lannoy, Gabrielle J. M.; Pauwels, Valentijn; Reichle, Rolf H.; Draper, Clara; Koster, Randy; Liu, Qing

    2012-01-01

    Satellite-based microwave measurements have long shown potential to provide global information about soil moisture. The European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS, [1]) mission as well as the future National Aeronautics and Space Administration (NASA) Soil Moisture Active and Passive (SMAP, [2]) mission measure passive microwave emission at L-band frequencies, at a relatively coarse (40 km) spatial resolution. In addition, SMAP will measure active microwave signals at a higher spatial resolution (3 km). These new L-band missions have a greater sensing depth (of -5cm) compared with past and present C- and X-band microwave sensors. ESA currently also disseminates retrievals of SMOS surface soil moisture that are derived from SMOS brightness temperature observations and ancillary data. In this research, we address two major challenges with the assimilation of recent/future satellite-based microwave measurements: (i) assimilation of soil moisture retrievals versus brightness temperatures for surface and root-zone soil moisture estimation and (ii) scale-mismatches between satellite observations, models and in situ validation data.

  19. Monitoring the Phenology of Global Agroecosystems Using SMAP Multi-temporal Vegetation Optical Depth Retrievals

    NASA Astrophysics Data System (ADS)

    Piles, M.; Entekhabi, D.; Konings, A. G.; Akbar, R.; Jagdhuber, T.; Chaparro, D.; Das, N. N.

    2016-12-01

    The first year of SMAP observations has been used to derive simultaneously soil moisture and microwave vegetation optical depth (VOD) using solely passive L-band microwave measurements, without reliance of a priori information on vegetation classification. VOD is known to be sensitive to above-ground biomass and plant water content. Unlike well-established visible-infrared indices, VOD is independent of greenness, is not affected by atmospheric conditions and remains sensitive to biomass water-uptake dynamics. A selection of global agricultural core regions (Southern Canada, US Midwest, Argentina, Spain, Sahel, South India, North India) have been selected to focus on the vegetation signal measured at L-band. First results comparing changes in SMAP VOD to changes in MODIS Enhanced Vegetation Index outline the independent and complementary information provided by microwave and optical sensors in agroecosystems. The two months of SMAP active measurements acquired over these regions have also been analyzed to further investigate the different sensitivity of active and passive measurements to vegetation properties. Measures and statistics of crop phenology in the target regions are proposed. Results provide a first evaluation of the full potential of L-band microwave sensors for global land surface phenology and eco-hydrological studies.

  20. NASA SMAP Images Show Texas Soil Moisture Conditions Before/After Hurricane Harvey's Landfall

    NASA Image and Video Library

    2017-08-29

    Images of soil moisture conditions in Texas near Houston, generated by NASA's Soil Moisture Active Passive (SMAP) satellite before and after the landfall of Hurricane Harvey can be used to monitor changing ground conditions due to Harvey's rainfall. As seen in the left panel, SMAP observations show that soil surface conditions were already very wet a few days before the hurricane made landfall (August 21/22), with moisture levels in the 20 to 40 percent range. Such saturated soil surfaces contributed to the inability of water to infiltrate more deeply into soils, thereby increasing the likelihood of flooding. After Harvey made landfall, the southwest portion of Houston became exceptionally wet, as seen in the right panel image from August 25/26, signaling the arrival of heavy rains and widespread flooding. https://photojournal.jpl.nasa.gov/catalog/PIA21926

  1. Characterizing L-band Radio-Frequency Interference (RFI) Using SMAP Microwave Radiometer Data

    NASA Astrophysics Data System (ADS)

    Mohammed, P.; Piepmeier, J. R.; Bringer, A.; Johnson, J. T.; Soldo, Y.; de Matthaeis, P.

    2016-12-01

    The L-band microwave radiometer on NASA's Soil Moisture Active Passive (SMAP) satellite measures electromagnetic radiation upwelling from Earth within the 1400-1427 MHz band. This relatively low microwave frequency is used to achieve penetration through vegetation and first few centimeters of soil. This frequency band is specifically selected, however, because it is exclusively allocated, on a primary basis, to passive sensing in the Earth Exploration Satellite and Radio Astronomy Services by international treaty. Thus, local administrations prohibit intentional transmissions within the band, and any non-natural signal in this band is considered to be radio-frequency interference (RFI). The SMAP radiometer has an advanced radiometer receiver providing time, frequency, polarization, and statistical diversity information on observed signals for RFI detection and filtering. Here we use this signal information to characterize the RFI environmental on local, regional, and global bases. RFI environment assessment is of interest for several reasons: 1) Reporting instances of interference harmful to SMAP performance to the appropriate regulators; 2) Informing spectrum managers and regulators of the state of the spectrum; and 3) Alerting SMAP users and future developers of trouble spots. We find the RF environment is highly variable around the globe. Global maps of RFI rate-of-occurrence exhibit a contrast in detected RFI between Eastern and Western Hemispheres and between Northern and Southern Hemispheres. Peak-hold maps show both isolated and distributed regions of severe RFI, some of which correspond to populated areas and others to geographically isolated long-range radars. Maps of kurtosis-excess reveal much RFI likely due to terrestrial radar systems, although other analysis indicates proliferation of low-level non-radar sources. In one case of intense RFI there is no kurtosis-excess indicating noise-like behavior due to either the use advanced digital modulation

  2. A Dual-Polarized, Dual-Frequency, Corrugated Feed Horn for SMAP

    NASA Technical Reports Server (NTRS)

    Focardi, Paolo; Brown, Paula R.

    2012-01-01

    SMAP will be the first Earth science mission to use a deployable 6m mesh reflector for both radar and radiometric measurements from low Earth orbit. The instrument antenna will spin at about 14 rpm, making the design of both reflector and feed more challenging. While the performance requirements imposed by the radar instrument are relatively benign, those pertinent to the radiometer are more difficult to meet. Extreme care was necessary in designing the feed, especially from a performance stability perspective. Thermal variations due to the spacecraft going in and out of eclipse during orbit and direct solar radiation into the horn are just two of the challenges faced during the design phase. In this paper, the basic concepts behind the design of SMAP's feed will be discussed. Each component of the feed will be analyzed in detail with particular emphasis on its impact on major RF requirements. Overall performance of the feed will also be discussed.

  3. Comparison of SMOS and SMAP Soil Moisture Retrieval Approaches Using Tower-based Radiometer Data over a Vineyard Field

    NASA Technical Reports Server (NTRS)

    Miernecki, Maciej; Wigneron, Jean-Pierre; Lopez-Baeza, Ernesto; Kerr, Yann; DeJeu, Richard; DeLannoy, Gabielle J. M.; Jackson, Tom J.; O'Neill, Peggy E.; Shwank, Mike; Moran, Roberto Fernandez; Bircher, Simone; Laurence, Heather; Mialon, Arnaud; Bitar, Ahmad Al; Richaume, Philippe

    2014-01-01

    The objective of this study was to compare several approaches to soil moisture (SM) retrieval using L-band microwave radiometry. The comparison was based on a brightness temperature (TB) data set acquired since 2010 by the L-band radiometer ELBARA-II over a vineyard field at the Valencia Anchor Station (VAS) site. ELBARA-II, provided by the European Space Agency (ESA) within the scientific program of the SMOS (Soil Moisture and Ocean Salinity) mission, measures multiangular TB data at horizontal and vertical polarization for a range of incidence angles (30-60). Based on a three year data set (2010-2012), several SM retrieval approaches developed for spaceborne missions including AMSR-E (Advanced Microwave Scanning Radiometer for EOS), SMAP (Soil Moisture Active Passive) and SMOS were compared. The approaches include: the Single Channel Algorithm (SCA) for horizontal (SCA-H) and vertical (SCA-V) polarizations, the Dual Channel Algorithm (DCA), the Land Parameter Retrieval Model (LPRM) and two simplified approaches based on statistical regressions (referred to as 'Mattar' and 'Saleh'). Time series of vegetation indices required for three of the algorithms (SCA-H, SCA-V and Mattar) were obtained from MODIS observations. The SM retrievals were evaluated against reference SM values estimated from a multiangular 2-Parameter inversion approach. The results obtained with the current base line algorithms developed for SMAP (SCA-H and -V) are in very good agreement with the reference SM data set derived from the multi-angular observations (R2 around 0.90, RMSE varying between 0.035 and 0.056 m3m3 for several retrieval configurations). This result showed that, provided the relationship between vegetation optical depth and a remotely-sensed vegetation index can be calibrated, the SCA algorithms can provide results very close to those obtained from multi-angular observations in this study area. The approaches based on statistical regressions provided similar results and the

  4. Cloud and Radiation Mission with Active and Passive Sensing from the Space Station

    NASA Technical Reports Server (NTRS)

    Spinhirne, James D.

    1998-01-01

    A cloud and aerosol radiative forcing and physical process study involving active laser and radar profiling with a combination of passive radiometric sounders and imagers would use the space station as an observation platform. The objectives are to observe the full three dimensional cloud and aerosol structure and the associated physical parameters leading to a complete measurement of radiation forcing processes. The instruments would include specialized radar and lidar for cloud and aerosol profiling, visible, infrared and microwave imaging radiometers with comprehensive channels for cloud and aerosol observation and specialized sounders. The low altitude,. available power and servicing capability of the space station are significant advantages for the active sensors and multiple passive instruments.

  5. Cloud and radiation mission with active and passive sensing from the space station

    SciTech Connect

    Spinhirne, James D.

    1999-01-22

    A cloud and aerosol radiative forcing and physical process study involving active laser and radar profiling with a combination of passive radiometric sounders and imagers would use the space station as an observation platform. The objectives are to observe the full three dimensional cloud and aerosol structure and the associated physical parameters leading to a complete measurement of radiation forcing processes. The instruments would include specialized radar and lidar for cloud and aerosol profiling, visible, infrared and microwave imaging radiometers with comprehensive channels for cloud and aerosol observation and specialized sounders. The low altitude, available power and servicing capability of the space station are significant advantages for the active sensors and multiple passive instruments.

  6. SoilSCAPE in-Situ Observations of Soil Moisture for SMAP Validation: Pushing the Envelopes of Spatial Coverage and Energy Efficiency in Sparse Wireless Sensor Networks (Invited)

    NASA Astrophysics Data System (ADS)

    Moghaddam, M.; Silva, A.; Clewley, D.; Akbar, R.; Entekhabi, D.

    2013-12-01

    Soil Moisture Sensing Controller and oPtimal Estimator (SoilSCAPE) is a wireless in-situ sensor network technology, developed under the support of NASA ESTO/AIST program, for multi-scale validation of soil moisture retrievals from the Soil Moisture Active and Passive (SMAP) mission. The SMAP sensor suite is expected to produce soil moisture retrievals at 3 km scale from the radar instrument, at 36 km from the radiometer, and at 10 km from the combination of the two sensors. To validate the retrieved soil moisture maps at any of these scales, it is necessary to perform in-situ observations at multiple scales (ten, hundreds, and thousands of meters), representative of the true spatial variability of soil moisture fields. The most recent SoilSCAPE network, deployed in the California central valley, has been designed, built, and deployed to accomplish this goal, and is expected to become a core validation site for SMAP. The network consists of up to 150 sensor nodes, each comprised of 3-4 soil moisture sensors at various depths, deployed over a spatial extent of 36 km by 36 km. The network contains multiple sub-networks, each having up to 30 nodes, whose location is selected in part based on maximizing the land cover diversity within the 36 km cell. The network has achieved unprecedented energy efficiency, longevity, and spatial coverage using custom-designed hardware and software protocols. The network architecture utilizes a nested strategy, where a number of end devices (EDs) communicate to a local coordinator (LC) using our recently developed hardware with ultra-efficient circuitry and best-effort-timeslot allocation communication protocol. The LCs in turn communicates with the base station (BS) via text messages and a new compression scheme. The hardware and software technologies required to implement this latest deployment of the SoilSCAPE network will be presented in this paper, and several data sets resulting from the measurements will be shown. The data are

  7. Downscaled Soil Moisture from SMAP Evaluated Using High Density Observations

    NASA Astrophysics Data System (ADS)

    Wakefield, R. A.; Basara, J. B.; Fang, B.; Lakshmi, V.; Starks, P. J.; Cosh, M. H.; Steiner, J. L.; Xiao, X.; Illston, B.

    2016-12-01

    Recently, a soil moisture downscaling algorithm based on a regression relationship between daily temperature changes and daily average soil moisture was developed to produce an enhanced spatial resolution on soil moisture product for the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) satellite platform. This study applies the downscaling algorithm to coarse resolution observations collected by the Soil Moisture Active Passive (SMAP) satellite platform during the bulk of the growing season period spanning May through September for 2015 and 2016 over the Southern Great Plains (SGP) of the United States. The resultant downscaled soil moisture values at a spatial resolution of 1 km were compared with high density in situ observations at (1) the Marena Oklahoma In Situ Soil Moisture Testbed (MOISST) near Marena, OK and (2) three Integrated Grassland/Cropland Observing System (IGOS/ICOS) sites deployed at the United States Department of Agriculture (USDA) Grazinglands Research Laboratory (GRL) near El Reno, Oklahoma. Each in situ location (i.e., MOISST, two IGOS sites, and one ICOS site) includes a Cosmic Ray Soil Moisture Observing System (COSMOS) and point scale observations from various in situ sensors (e.g., Stevens Water Hydra Probe, Campbell Scientific 616 and 229, Decagon EC-TM, Delta-T Theta Probe, etc.) deployed in arrays within the COSMOS footprint. Each primary evaluation location (MOISST and GRL) also includes an Oklahoma Mesonet site.

  8. Integration of radar and radiometric data from SMAP and Sentinel-1 sensors for soil moisture and vegetation monitoring (Conference Presentation)

    NASA Astrophysics Data System (ADS)

    Paloscia, Simonetta; Santi, Emanuele; Pettinato, Simone; Entekhabi, Dara

    2016-10-01

    This work has been focused on the integration of microwave data coming from different sensors (SMAP, Sentinel-1, AMSR2), in order to obtain an improved estimation of hydrological parameters and in particular of the Soil Moisture (SMC). The failure of radar sensor in SMAP satellite induced to look for other available microwave frequencies, both from active (e.g. Sentinel-1, C band) and passive sensors (e.g. AMSR2, from C to Ka bands). The contribution of higher frequencies, which are more suitable for monitoring vegetation and other surface features, has been evaluated for compensating the vegetation and roughness effects on the SM retrieval accuracy. In particular, the contribution of C band SAR from Sentinel-1 and of the multi-frequency AMSR2 radiometer (C to Ka bands) have been considered. Moreover, a disaggregation technique, based on the Smoothing filter based intensity modulation (SFIM), enabled achieving a more suitable ground resolution for comparing SAR and radiometric data. Disaggregated microwave data were used as inputs of a retrieval algorithm based on Artificial Neural Network (ANN), able to exploit the synergy between active and passive acquisitions. The algorithm was defined basing on the data available from the SMEX02 and SMAPVEX12 campaigns, and on data simulated by electromagnetic forward models. The algorithm validation on these datasets returned encouraging results, while the disaggregation technique enabled adapting the algorithm to work with Sentinel, SMAP and AMSR2 synergic acquisitions

  9. Developments in passive shielding for human explorations missions: the ROSSINI study

    NASA Astrophysics Data System (ADS)

    Giraudo, Martina; Lobascio, Cesare

    The aim of the “ROSSINI” (RadiatiOn Shielding by ISRU and INnovative materIals for EVA, vehicles and habitats) project, funded by the European Space Agency, is to investigate shielding materials to be used in deep space and planetary exploration. Simulants of materials that can be found on Moon and Mars planetary surfaces (e.g., regolith) and innovative materials rich in Hydrogen have been selected and tested with high energy (2.5 GeV) protons and 1 GeV/n Fe-56 ions (taken as representative of the whole GCR spectrum). Dose reduction, Bragg peak and neutron yield have been calculated on a subset of the irradiated targets. Geant4 Monte Carlo simulations through Geant4 Radiation Analysis for Space (GRAS) tools have been performed and compared to the obtained experimental data, to benchmark the computer codes. A simplified inflatable habitat for exploration missions has been defined choosing the innovative materials evaluated in the ROSSINI study. Monte Carlo simulations are ongoing (the project is to be concluded in early spring 2014) with the codes investigated, to compare the dose reduction resulting inside the simplified habitat with different shielding solutions.

  10. Dynamic Modeling of the SMAP Rotating Flexible Antenna

    NASA Technical Reports Server (NTRS)

    Nayeri, Reza D.

    2012-01-01

    Dynamic model development in ADAMS for the SMAP project is explained: The main objective of the dynamic models are for pointing error assessment, and the control/stability margin requirement verifications

  11. Dynamic Modeling of the SMAP Rotating Flexible Antenna

    NASA Technical Reports Server (NTRS)

    Nayeri, Reza D.

    2012-01-01

    Dynamic model development in ADAMS for the SMAP project is explained: The main objective of the dynamic models are for pointing error assessment, and the control/stability margin requirement verifications

  12. New Combined L-band Active/Passive Soil Moisture Retrieval Algorithm Optimized for Argentine Plains

    NASA Astrophysics Data System (ADS)

    Bruscantini, C. A.; Grings, F. M.; Salvia, M.; Ferrazzoli, P.; Karszenbaum, H.

    2015-12-01

    The ability of L-band passive microwave satellite observations to provide soil moisture (mv) measurements is well known. Despite its high sensitivity to near-surface mv, radiometric technology suffers from having a relatively low spatial resolution. Conversely active microwave observations, although their finer resolution, are difficult to be interpreted for mv content due to the confounding effects of vegetation and roughness. There have been and there are strong motivations for the realization of satellite missions that carry passive and active microwave instruments on board. This has also led to important contributions in algorithm development. In this line of work, NASA-CONAE SAC-D/Aquarius mission had on board an L band radiometer and scatterometer. This was followed by the launch of NASA SMAP mission (Soil Moisture Active Passive), as well as several airborne campaigns that provide active and passive measurements. Within this frame, a new combined active/passive mv retrieval algorithm is proposed by deriving an analytical expression of brightness temperature and radar backscattering relation using explicit semi-empirical models. Simple models (i.e. that can be easily inverted and have relatively low amount of ancillary parameters) were selected: ω-τ model (Jackson et al., 1982, Water Resources Research) and radar-only model (Narvekar et al., 2015, IEEE Transactions on Geoscience and Remote Sensing). A major challenge involves coupling the active and passive models to be consistent with observations. Coupling equations can be derived using theoretical active/passive high-order radiative transfer models, such as 3D Numerical Method of Maxwell equations (Zhou et al., 2004, IEEE Transactions on Geoscience and Remote Sensing) and Tor Vergata (Ferrazzoli et al., 1995,Remote Sensing of Environment) models. In this context, different coupling equations can be optimized for different land covers using theoretical forward models with specific parametrization for each

  13. Vegetation stress from soil moisture and chlorophyll fluorescence: synergy between SMAP and FLEX approaches

    NASA Astrophysics Data System (ADS)

    Moreno, Jose; Moran, Susan

    2014-05-01

    Vegetation stress detection continues being a focal objective for remote sensing techniques. It has implications not only for practical applications such as irrigation optimization or precision agriculture, but also for global climate models, providing data to better link water and carbon exchanges between the surface and the atmospheric and improved parameterization of the role of terrestrial vegetation in the coupling of water and carbon cycles. Traditional approaches to map vegetation stress using remote sensing techniques have been based on measurements of soil moisture status, canopy (radiometric) temperature and, to a lesser extent, canopy water content, but new techniques such as the dynamics of vegetation fluorescence emission, are also now available. Within the context of the preparatory activities for the SMAP and FLEX missions, a number of initiatives have been put in place to combine modelling activities and field experiments in order to look for alternative and more efficient ways of detecting vegetation stress, with emphasis on synergistic remote sensing approaches. The potential of solar-induced vegetation fluorescence as an early indicator of stress has been widely demonstrated, for different type of stress conditions: light amount (excess illumination) and conditions (direct/diffuse), temperature extremes (low and high), soil water availability (soil moisture), soil nutrients (nitrogen), atmospheric water vapour and atmospheric CO2 concentration. The effects caused by different stress conditions are sometimes difficult to be decoupled, also because different causes are often combined, but in general they then to change the overall fluorescence emission (modulating amplitude) or changing the relative contributions of photosystems PSI and PSII or the relative fluorescence re-absorption effects caused by modifications in the structure of pigment bed responsible for light absorption, in particular for acclimation for persistent stress conditions. While

  14. Hydrologic opportunities in the GPM mission

    NASA Astrophysics Data System (ADS)

    Lettenmaier, D. P.

    2012-12-01

    Launch of the Global Precipitation Measurement mission mother satellite in early 2014 will offer unprecedented opportunities to the hydrologic community, yet these opportunities are not widely known beyond the relatively small cross-section of the community that has been involved in NASA (and other space agency) funded research. Hydrologists are most familiar with precipitation measurements from traditional gauge-based methods - and to a lesser extent, surface radars. I discuss new opportunities for the community in terms of the potential for a truly global view of land surface hydrologic processes, as well as applications to flood and drought prediction that GPM will provide. I also review briefly the legacy of TRMM precipitation products, including the evolution of the TMPA series of products, particularly those that do not require gauge correction, and ongoing applications, and comment on opportunities for the community in the next generation of satellite based water cycle measurements. These include GPM, as well as NASA's Soil Moisture Active Passive (SMAP) mission, also projected for launch in 2014, and the joint U.S.-French Surface Water and Ocean Topography (SWOT) mission, planned for launch late in the decade.

  15. Evaluation of SMAP, SMOS, and AMSR2 soil moisture retrievals against observations from two networks on the Tibetan Plateau

    NASA Astrophysics Data System (ADS)

    Chen, Yingying; Yang, Kun; Qin, Jun; Cui, Qian; Lu, Hui; La, Zhu; Han, Menglei; Tang, Wenjun

    2017-06-01

    Two soil moisture and temperature monitoring networks were established in the Tibetan Plateau (TP) during recent years. One is located in a semihumid area (Naqu) of central TP and consists of 56 soil moisture and temperature measurement (SMTM) stations, the other is located in a semiarid area (Pali) of southern TP and consists of 21 SMTM stations. In this study, the station data are used to evaluate soil moisture retrievals from three microwave satellites, i.e., the Soil Moisture Active Passive (SMAP) of NASA, the Soil Moisture and Ocean Salinity (SMOS) of European Space Agency, and the Advanced Microwave Scanning Radiometer 2 (AMSR2) of Japan Aerospace Exploration Agency. It is found that the SMAP retrievals tend to underestimate soil moisture in the two TP networks, mainly due to the negative biases in the effective soil temperature that is derived from a climate model. However, the SMAP product well captures the amplitude and temporal variation of the soil moisture. The SMOS product performs well in Naqu network with acceptable error metrics but fails to capture the temporal variation of soil moisture in Pali network. The AMSR2 products evidently exaggerate the temporal variation of soil moisture in Naqu network but dampen it in Pali network, suggesting its retrieval algorithm needs further improvements for the TP.

  16. Sensitivity of Active and Passive Microwave Observations to Soil Moisture during Growing Corn

    NASA Astrophysics Data System (ADS)

    Judge, J.; Monsivais-Huertero, A.; Liu, P.; De Roo, R. D.; England, A. W.; Nagarajan, K.

    2011-12-01

    Soil moisture (SM) in the root zone is a key factor governing water and energy fluxes at the land surface and its accurate knowledge is critical to predictions of weather and near-term climate, nutrient cycles, crop-yield, and ecosystem productivity. Microwave observations, such as those at L-band, are highly sensitive to soil moisture in the upper few centimeters (near-surface). The two satellite-based missions dedicated to soil moisture estimation include, the European Space Agency's Soil Moisture and Ocean Salinity (SMOS) mission and the planned NASA Soil Moisture Active/Passive (SMAP) [4] mission. The SMAP mission will include active and passive sensors at L-band to provide global observations of SM, with a repeat coverage of every 2-3 days. These observations can significantly improve root zone soil moisture estimates through data assimilation into land surface models (LSMs). Both the active (radar) and passive (radiometer) microwave sensors measure radiation quantities that are functions of soil dielectric constant and exhibit similar sensitivities to SM. In addition to the SM sensitivity, radar backscatter is highly sensitive to roughness of soil surface and scattering within the vegetation. These effects may produce a much larger dynamic range in backscatter than that produced due to SM changes alone. In this study, we discuss the field observations of active and passive signatures of growing corn at L-band from several seasons during the tenth Microwave, Water and Energy Balance Experiment (MicroWEX-10) conducted in North Central Florida, and to understand the sensitivity of these signatures to soil moisture under dynamic vegetation conditions. The MicroWEXs are a series of season-long field experiments conducted during the growing seasons of sweet corn, cotton, and energy cane over the past six years (for example, [22]). The corn was planted on July 5 and harvested on September 23, 2011 during MicroWEX-10. The size of the field was 0.04 km2 and the soils

  17. Estimating Sea Surface Salinity and Wind Using Combined Passive and Active L-Band Microwave Observations

    NASA Technical Reports Server (NTRS)

    Yueh, Simon H.; Chaubell, Mario J.

    2012-01-01

    Several L-band microwave radiometer and radar missions have been, or will be, operating in space for land and ocean observations. These include the NASA Aquarius mission and the Soil Moisture Active Passive (SMAP) mission, both of which use combined passive/ active L-band instruments. Aquarius s passive/active L-band microwave sensor has been designed to map the salinity field at the surface of the ocean from space. SMAP s primary objectives are for soil moisture and freeze/thaw detection, but it will operate continuously over the ocean, and hence will have significant potential for ocean surface research. In this innovation, an algorithm has been developed to retrieve simultaneously ocean surface salinity and wind from combined passive/active L-band microwave observations of sea surfaces. The algorithm takes advantage of the differing response of brightness temperatures and radar backscatter to salinity, wind speed, and direction, thus minimizing the least squares error (LSE) measure, which signifies the difference between measurements and model functions of brightness temperatures and radar backscatter. The algorithm uses the conjugate gradient method to search for the local minima of the LSE. Three LSE measures with different measurement combinations have been tested. The first LSE measure uses passive microwave data only with retrieval errors reaching 1 to 2 psu (practical salinity units) for salinity, and 1 to 2 m/s for wind speed. The second LSE measure uses both passive and active microwave data for vertical and horizontal polarizations. The addition of active microwave data significantly improves the retrieval accuracy by about a factor of five. To mitigate the impact of Faraday rotation on satellite observations, the third LSE measure uses measurement combinations invariant under the Faraday rotation. For Aquarius, the expected RMS SSS (sea surface salinity) error will be less than about 0.2 psu for low winds, and increases to 0.3 psu at 25 m/s wind speed

  18. SMAP Soil Moisture Data To Improve Remotely Sensed Global Estimates of Evapotranspiration

    NASA Astrophysics Data System (ADS)

    Purdy, A. J.; Fisher, J.; Goulden, M.; Famiglietti, J. S.

    2016-12-01

    Surface water availability limits plant productivity and the ability to transport water from the soil to the atmosphere in over 1/3rd of earth's vegetated land. Quantifying evapotranspiration (ET) across large areas requires the integration of satellite-observed land surface variables into physical or empirical equations that govern the transfer of mass and energy from land to the atmosphere. Many satellite ET algorithms have been developed to compute ET globally, but the current methods of two widely-used ET algorithms rely on implicit representation of soil moisture, limiting their capacity to impose proper physical constraints on ET under water limiting conditions. The successful launch of the Soil Moisture Active Passive (SMAP) satellite provides the first space-based soil moisture observations with the fidelity and the necessary spatio-temporal resolution to integrate directly into remote sensing ET algorithms and compare to in situ observations. Here we incorporate SMAP soil moisture observations into two widely used ET algorithms, the Priestley Taylor Jet Propulsion Laboratory (PT-JPL) ET model and the Penman Monteith MOD16. We present new soil moisture stress formulation and parameterization for each algorithm and evaluate model performance before and after soil moisture integration across a suite of in situ observations spanning a range of plant functional types and climates.

  19. Characterization of Schistosome Tegumental Alkaline Phosphatase (SmAP)

    PubMed Central

    Bhardwaj, Rita; Skelly, Patrick J.

    2011-01-01

    Schistosomes are parasitic platyhelminths that currently infect over 200 million people globally. The parasites can live for years in a putatively hostile environment - the blood of vertebrates. We have hypothesized that the unusual schistosome tegument (outer-covering) plays a role in protecting parasites in the blood; by impeding host immunological signaling pathways we suggest that tegumental molecules help create an immunologically privileged environment for schistosomes. In this work, we clone and characterize a schistosome alkaline phosphatase (SmAP), a predicted ∼60 kDa glycoprotein that has high sequence conservation with members of the alkaline phosphatase protein family. The SmAP gene is most highly expressed in intravascular parasite life stages. Using immunofluorescence and immuno-electron microscopy, we confirm that SmAP is expressed at the host/parasite interface and in internal tissues. The ability of living parasites to cleave exogenous adenosine monophosphate (AMP) and generate adenosine is very largely abolished when SmAP gene expression is suppressed following RNAi treatment targeting the gene. These results lend support to the hypothesis that schistosome surface enzymes such as SmAP could dampen host immune responses against the parasites by generating immunosuppressants such as adenosine to promote their survival. This notion does not rule out other potential functions for the adenosine generated e.g. in parasite nutrition. PMID:21483710

  20. Rapid Intensification of Hurricane Irma Seen in New SMAP Wind Images

    NASA Image and Video Library

    2017-09-05

    This pair of images shows ocean surface wind speeds for Hurricane Irma as observed at 5:26 a.m. EDT on Sept. 4, 2017 (top) and 24.5 hours later at 6:02 a.m. EDT on September 5th (bottom) by the radiometer instrument on NASA's Soil Moisture Active Passive (SMAP) satellite. Color indicates wind speed, with red being highest and blue lowest. Irma intensified from a Category 2 hurricane on Sept. 4 with observed wind speed of 106 miles per hour (47.5 meters per second) to a Category 5 hurricane on Sept. 5 with a maximum observed wind speed of 160 miles per hour (71.4 meters per second). https://photojournal.jpl.nasa.gov/catalog/PIA21939

  1. Potential of bias correction for downscaling passive microwave and soil moisture data

    USDA-ARS?s Scientific Manuscript database

    Passive microwave satellites such as SMOS (Soil Moisture and Ocean Salinity) or SMAP (Soil Moisture Active Passive) observe brightness temperature (TB) and retrieve soil moisture at a spatial resolution greater than most hydrological processes. Bias correction is proposed as a simple method to disag...

  2. The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations

    USDA-ARS?s Scientific Manuscript database

    For several years passive microwave observations have been used to retrieve soil moisture from the Earth’s surface. Low frequency observations have the most sensitivity to soil moisture, therefore the modern Soil Moisture and Ocean Salinity (SMOS) and future Soil Moisture Active and Passive (SMAP) ...

  3. NASA SMAP is Readied for Launch

    NASA Image and Video Library

    2015-01-20

    NASA Soil Moisture Active Passive spacecraft is lowered onto the Delta II payload attach structure in the Astrotech payload processing facility at Vandenberg Air Force Base, California, in preparation for launch, to take place no sooner than Jan. 29.

  4. Information System Life-Cycle And Documentation Standards (SMAP DIDS)

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Although not computer program, SMAP DIDS written to provide systematic, NASA-wide structure for documenting information system development projects. Each DID (data item description) outlines document required for top-quality software development. When combined with management, assurance, and life cycle standards, Standards protect all parties who participate in design and operation of new information system.

  5. Information System Life-Cycle And Documentation Standards (SMAP DIDS)

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Although not computer program, SMAP DIDS written to provide systematic, NASA-wide structure for documenting information system development projects. Each DID (data item description) outlines document required for top-quality software development. When combined with management, assurance, and life cycle standards, Standards protect all parties who participate in design and operation of new information system.

  6. Downscaling SMAP and SMOS soil moisture with moderate-resolution imaging spectroradiometer visible and infrared products over southern Arizona

    NASA Astrophysics Data System (ADS)

    Knipper, Kyle R.; Hogue, Terri S.; Franz, Kristie J.; Scott, Russell L.

    2017-04-01

    This current study explores satellite-based soil moisture downscaling approaches and applies them to common passive microwave retrievals. Three variations of a second-order polynomial regression were tested based on the surface temperature/greenness index concept and merged information from higher spatial resolution moderate-resolution imaging spectroradiometer with soil moisture active passive (SMAP) and soil moisture and ocean salinity (SMOS) products to obtain soil moisture estimates at higher resolutions (1 km). Downscaled products were evaluated at the Walnut Gulch Experimental Watershed (WGEW) in southeastern Arizona. Results show slight differences in performance among the three downscaling methods and little improvement between original low-resolution products and downscaled (1 km) products. Spatial analysis over WGEW demonstrates downscaled products were able to decipher small-scale heterogeneities in surface soil moisture, though spatial variability remains low compared to observations with a difference of only 0.06 m3/m3 in spatial standard deviation between observations and the mean between downscaling techniques. Results demonstrate the ability of both SMOS and SMAP to represent soil moisture accurately on the point scale without applying downscaling techniques in the region under study.

  7. Does NASA SMAP Improve the Accuracy of Power Outage Models?

    NASA Astrophysics Data System (ADS)

    Quiring, S. M.; McRoberts, D. B.; Toy, B.; Alvarado, B.

    2016-12-01

    Electric power utilities make critical decisions in the days prior to hurricane landfall that are primarily based on the estimated impact to their service area. For example, utilities must determine how many repair crews to request from other utilities, the amount of material and equipment they will need to make repairs, and where in their geographically expansive service area to station crews and materials. Accurate forecasts of the impact of an approaching hurricane within their service area are critical for utilities in balancing the costs and benefits of different levels of resources. The Hurricane Outage Prediction Model (HOPM) are a family of statistical models that utilize predictions of tropical cyclone windspeed and duration of strong winds, along with power system and environmental variables (e.g., soil moisture, long-term precipitation), to forecast the number and location of power outages. This project assesses whether using NASA SMAP soil moisture improves the accuracy of power outage forecasts as compared to using model-derived soil moisture from NLDAS-2. A sensitivity analysis is employed since there have been very few tropical cyclones making landfall in the United States since SMAP was launched. The HOPM is used to predict power outages for 13 historical tropical cyclones and the model is run using twice, once with NLDAS soil moisture and once with SMAP soil moisture. Our results demonstrate that using SMAP soil moisture can have a significant impact on power outage predictions. SMAP has the potential to enhance the accuracy of power outage forecasts. Improved outage forecasts reduce the duration of power outages which reduces economic losses and accelerates recovery.

  8. Evaluation of Radar Vegetation Indices for Vegetation Water Content Estimation Using Data from a Ground-Based SMAP Simulator

    NASA Technical Reports Server (NTRS)

    Srivastava, Prashant K.; O'Neill, Peggy; Cosh, Michael; Lang, Roger; Joseph, Alicia

    2015-01-01

    Vegetation water content (VWC) is an important component of microwave soil moisture retrieval algorithms. This paper aims to estimate VWC using L band active and passive radar/radiometer datasets obtained from a NASA ground-based Soil Moisture Active Passive (SMAP) simulator known as ComRAD (Combined Radar/Radiometer). Several approaches to derive vegetation information from radar and radiometer data such as HH, HV, VV, Microwave Polarization Difference Index (MPDI), HH/VV ratio, HV/(HH+VV), HV/(HH+HV+VV) and Radar Vegetation Index (RVI) are tested for VWC estimation through a generalized linear model (GLM). The overall analysis indicates that HV radar backscattering could be used for VWC content estimation with highest performance followed by HH, VV, MPDI, RVI, and other ratios.

  9. Using SMAP data to improve drought early warning over the US Great Plains

    NASA Astrophysics Data System (ADS)

    Fu, R.; Fernando, N.; Tang, W.

    2015-12-01

    A drought prone region such as the Great Plains of the United States (US GP) requires credible and actionable drought early warning. Such information cannot simply be extracted from available climate forecasts because of their large uncertainties at regional scales, and unclear connections to the needs of the decision makers. In particular, current dynamic seasonal predictions and climate projections, such as those produced by the NOAA North American Multi-Model Ensemble experiment (NMME) are much more reliable for winter and spring than for the summer season for the US GP. To mitigate the weaknesses of dynamic prediction/projections, we have identified three key processes behind the spring-to-summer dry memory through observational studies, as the scientific basis for a statistical drought early warning system. This system uses percentile soil moisture anomalies in spring as a key input to provide a probabilistic summer drought early warning. The latter outperforms the dynamic prediction over the US Southern Plains and has been used by the Texas state water agency to support state drought preparedness. A main source of uncertainty for this drought early warning system is the soil moisture input obtained from the NOAA Climate Forecasting System (CFS). We are testing use of the beta version of NASA Soil Moisture Active Passive (SMAP) soil moisture data, along with the Soil Moisture and Ocean Salinity (SMOS), and the long-term Essential Climate Variable Soil Moisture (ECV-SM) soil moisture data, to reduce this uncertainty. Preliminary results based on ECV-SM suggests satellite based soil moisture data could improve early warning of rainfall anomalies over the western US GP with less dense vegetation. The skill degrades over the eastern US GP where denser vegetation is found. We evaluate our SMAP-based drought early warning for 2015 summer against observations.

  10. NASA Soil Moisture Mission Produces First Global Radiometer Map

    NASA Image and Video Library

    2015-04-21

    With its antenna now spinning at full speed, NASA new Soil Moisture Active Passive SMAP observatory has successfully re-tested its science instruments and generated its first global maps, a key step to beginning routine science operations in May, 2015

  11. NASA Soil Moisture Mission Produces First Global Radar Map

    NASA Image and Video Library

    2015-04-21

    With its antenna now spinning at full speed, NASA new Soil Moisture Active Passive SMAP observatory has successfully re-tested its science instruments and generated its first global maps, a key step to beginning routine science operations in May, 2015

  12. TMS reveals a direct influence of spinal projections from human SMAp on precise force production.

    PubMed

    Entakli, Jonathan; Bonnard, Mireille; Chen, Sophie; Berton, Eric; De Graaf, Jozina B

    2014-01-01

    The corticospinal (CS) system plays an important role in fine motor control, especially in precision grip tasks. Although the primary motor cortex (M1) is the main source of the CS projections, other projections have been found, especially from the supplementary motor area proper (SMAp). To study the characteristics of these CS projections from SMAp, we compared muscle responses of an intrinsic hand muscle (FDI) evoked by stimulation of human M1 and SMAp during an isometric static low-force control task. Subjects were instructed to maintain a small cursor on a target force curve by applying a pressure with their right precision grip on a force sensor. Neuronavigated transcranial magnetic stimulation was used to stimulate either left M1 or left SMAp with equal induced electric field values at the defined cortical targets. The results show that the SMAp stimulation evokes reproducible muscle responses with similar latencies and amplitudes as M1 stimulation, and with a clear and significant shorter silent period. These results suggest that (i) CS projections from human SMAp are as rapid and efficient as those from M1, (ii) CS projections from SMAp are directly involved in control of the excitability of spinal motoneurons and (iii) SMAp has a different intracortical inhibitory circuitry. We conclude that human SMAp and M1 both have direct influence on force production during fine manual motor tasks. © 2013 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

  13. Cloning, characterization and chromosome mapping of the human SMAP1 gene.

    PubMed

    Marcos, Irene; Borrego, Salud; Rodríguez de Córdoba, Santiago; Galán, José Jorge; Antiñolo, Guillermo

    2002-06-12

    Stromal membrane associated protein (smap-1) is a new murine cell surface molecule on the stromal cells. The murine smap-1 protein is induced in stromal cells by the contact with erythroid cells, which suggests that this protein may be involved in the haematopoietic progenitor cells to stromal cells interactions. Here we report the structure, map location and expression analysis of the human SMAP1 gene, which cover approximately 100 kb on chromosome 6 between D6S455 and D6S1673 markers. This gene is composed of 11 exons and encodes a 468-amino-acid protein, which shows an 86% of homology with the murine smap-1 protein. The expression of smap-1 in erythropoietic organs as well as the correlation with the erythropoietic activity of the haematopoietic organs suggest that smap-1 is induced in stromal cells by the contact with erythroid cells, defining smap-1 as a key molecule that induced an erythropoietic microenvironment in haematopoietic organs. The high sequence conservation between murine and human SMAP1, as well as its expression in bone marrow, strongly suggest conserved functions of this protein in both organisms. Recently, a constitutional translocation t(6;10)(q13;q22) has been described in a patient with severe aplastic anaemia. SMAP1 gene localizes to 6q13 and is probably implicated in erythropoiesis, therefore it remains as an interesting candidate gene.

  14. SMAP Level 4 Surface and Root Zone Soil Moisture

    NASA Technical Reports Server (NTRS)

    Reichle, R.; De Lannoy, G.; Liu, Q.; Ardizzone, J.; Kimball, J.; Koster, R.

    2017-01-01

    The SMAP Level 4 soil moisture (L4_SM) product provides global estimates of surface and root zone soil moisture, along with other land surface variables and their error estimates. These estimates are obtained through assimilation of SMAP brightness temperature observations into the Goddard Earth Observing System (GEOS-5) land surface model. The L4_SM product is provided at 9 km spatial and 3-hourly temporal resolution and with about 2.5 day latency. The soil moisture and temperature estimates in the L4_SM product are validated against in situ observations. The L4_SM product meets the required target uncertainty of 0.04 m(exp. 3)m(exp. -3), measured in terms of unbiased root-mean-square-error, for both surface and root zone soil moisture.

  15. SMAP: a streamlined methylation analysis pipeline for bisulfite sequencing.

    PubMed

    Gao, Shengjie; Zou, Dan; Mao, Likai; Zhou, Quan; Jia, Wenlong; Huang, Yi; Zhao, Shancen; Chen, Gang; Wu, Song; Li, Dongdong; Xia, Fei; Chen, Huafeng; Chen, Maoshan; Ørntoft, Torben F; Bolund, Lars; Sørensen, Karina D

    2015-01-01

    DNA methylation has important roles in the regulation of gene expression and cellular specification. Reduced representation bisulfite sequencing (RRBS) has prevailed in methylation studies due to its cost-effectiveness and single-base resolution. The rapid accumulation of RRBS data demands well designed analytical tools. To streamline the data processing of DNA methylation from multiple RRBS samples, we present a flexible pipeline named SMAP, whose features include: (i) handling of single-and/or paired-end diverse bisulfite sequencing data with reduced false-positive rates in differentially methylated regions; (ii) detection of allele-specific methylation events with improved algorithms; (iii) a built-in pipeline for detection of novel single nucleotide polymorphisms (SNPs); (iv) support of multiple user-defined restriction enzymes; (v) conduction of all methylation analyses in a single-step operation when well configured. Simulation and experimental data validated the high accuracy of SMAP for SNP detection and methylation identification. Most analyses required in methylation studies (such as estimation of methylation levels, differentially methylated cytosine groups, and allele-specific methylation regions) can be executed readily with SMAP. All raw data from diverse samples could be processed in parallel and 'packetized' streams. A simple user guide to the methylation applications is also provided.

  16. Development of radio frequency interference detection algorithms for passive microwave remote sensing

    NASA Astrophysics Data System (ADS)

    Misra, Sidharth

    Radio Frequency Interference (RFI) signals are man-made sources that are increasingly plaguing passive microwave remote sensing measurements. RFI is of insidious nature, with some signals low power enough to go undetected but large enough to impact science measurements and their results. With the launch of the European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) satellite in November 2009 and the upcoming launches of the new NASA sea-surface salinity measuring Aquarius mission in June 2011 and soil-moisture measuring Soil Moisture Active Passive (SMAP) mission around 2015, active steps are being taken to detect and mitigate RFI at L-band. An RFI detection algorithm was designed for the Aquarius mission. The algorithm performance was analyzed using kurtosis based RFI ground-truth. The algorithm has been developed with several adjustable location dependant parameters to control the detection statistics (false-alarm rate and probability of detection). The kurtosis statistical detection algorithm has been compared with the Aquarius pulse detection method. The comparative study determines the feasibility of the kurtosis detector for the SMAP radiometer, as a primary RFI detection algorithm in terms of detectability and data bandwidth. The kurtosis algorithm has superior detection capabilities for low duty-cycle radar like pulses, which are more prevalent according to analysis of field campaign data. Most RFI algorithms developed have generally been optimized for performance with individual pulsed-sinusoidal RFI sources. A new RFI detection model is developed that takes into account multiple RFI sources within an antenna footprint. The performance of the kurtosis detection algorithm under such central-limit conditions is evaluated. The SMOS mission has a unique hardware system, and conventional RFI detection techniques cannot be applied. Instead, an RFI detection algorithm for SMOS is developed and applied in the angular domain. This algorithm compares

  17. Airborne Active and Passive L-Band Observations in Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12)

    NASA Astrophysics Data System (ADS)

    Colliander, A.; Yueh, S. H.; Chazanoff, S.; Jackson, T. J.; McNairn, H.; Bullock, P.; Wiseman, G.; Berg, A. A.; Magagi, R.; Njoku, E. G.

    2012-12-01

    NASA's (National Aeronautics and Space Administration) Soil Moisture Active Passive (SMAP) Mission is scheduled for launch in October 2014. The objective of the mission is global mapping of soil moisture and freeze/thaw state. Merging of active and passive L-band observations of the mission will enable unprecedented combination of accuracy, resolution, coverage and revisit-time for soil moisture and freeze/thaw state retrieval. For pre-launch algorithm development and validation the SMAP project and NASA coordinated a field campaign named as SMAPVEX12 (Soil Moisture Active Passive Validation Experiment 2012) together with Agriculture and Agri-Food Canada in the vicinity of Winnipeg, Canada in June-July, 2012. The main objective of SMAPVEX12 was acquisition of data record that features long-time series with varying soil moisture and vegetation conditions (for testing the application of time-series approach) over aerial domain of multiple parallel lines (for spatial disaggregation studies). The coincident active and passive L-band data were acquired using the Passive Active L-band System (PALS), which is an airborne radiometer and radar developed for testing L-band retrieval algorithms. For SMAPVEX12 PALS was installed on a Twin Otter aircraft. The flight plan included flights at two altitudes. The higher altitude was used to map the whole experiment domain and the lower altitude was used to obtain measurements over a specific set of field sites. The spatial resolution (and swath) of the radar and radiometer from low altitude was about 600 m and from high altitude about 1500 m. The PALS acquisitions were complemented with high resolution (~10 m) L-band SAR measurements carried out by UAVSAR instrument on-board G-III aircraft. The campaign ran from June 7 until July 19. The PALS instrument conducted 17 brightness temperature and backscatter measurement flights and the UAVSAR conducted 14 backscatter measurement flights. The airborne data acquisition was supported by

  18. A Self-Consistent Radiative Transfer Model for Simulating Active and Passive Observations of Precipitation

    NASA Astrophysics Data System (ADS)

    Adams, I. S.

    2015-12-01

    Current generation sensors suites such as those included on the Global Precipitation Measurement (GPM) mission, Aquarius, and Soil Moisture Active / Passive (SMAP) exploit a combination to provide a greater understanding of geophysical phenomena. While "operationalized" retrieval algorithms require fast forward models, the ability to perform higher fidelity simulations is necessary for understanding the physics of remote sensing problems to test assumptions and to develop parameterizations for the fast models. To ensure proper synergy between active and passive modeling, forward models must be consistent between the two sensor types. This work presents a self-consistent active and passive radiative transfer model for simulating radar and radiometer responses to precipitation. To accomplish this, we extend the Atmospheric Radiative Transfer Simulator (ARTS) version 2.3 to solve the radiative transfer equation for radar under multiple scattering conditions using Monte Carlo integration. Early versions of ARTS (1.1 and later) included a passive Monte Carlo solver, and ARTS is capable of handling atmospheres of up to three dimensions with ellipsoidal planetary geometries. The modular nature of ARTS facilitates extensibility, and the well-developed ray-tracing tools are suited for implementation of Monte Carlo algorithms. Finally, since ARTS handles the full Stokes vector, co- and cross-polarized reflectivity products are possible for scenarios that include nonspherical particles, with or without preferential alignment. The accuracy of the forward model will be demonstrated, and the effects of multiple scattering will be detailed. The three-dimensional nature of the radiative transfer model will be useful for understanding the effects of nonuniform beamfill and multiple scattering for spatially heterogeneous precipitation events. This targets of this forward model are GPM (the Dual-wavelength Precipitation Radar (DPR) and GPM Microwave Imager (GMI)) and airborne sensors

  19. Use of Radar Vegetation Index (RVI) in Passive Microwave Algorithms for Soil Moisture Estimates

    NASA Astrophysics Data System (ADS)

    Rowlandson, T. L.; Berg, A. A.

    2013-12-01

    The Soil Moisture Active Passive (SMAP) satellite will provide a unique opportunity for the estimation of soil moisture by having simultaneous radar and radiometer measurements available. As with the Soil Moisture and Ocean Salinity (SMOS) satellite, the soil moisture algorithms will need to account for the contribution of vegetation to the brightness temperature. Global maps of vegetation volumetric water content (VWC) are difficult to obtain, and the SMOS mission has opted to estimate the optical depth of standing vegetation by using a relationship between the VWC and the leaf area index (LAI). LAI is estimated from optical remote sensing or through soil-vegetation-atmosphere transfer modeling. During the growing season, the VWC of agricultural crops can increase rapidly, and if cloud cover exists during an optical acquisition, the estimation of LAI may be delayed, resulting in an underestimation of the VWC and overestimation of the soil moisture. Alternatively, the radar vegetation index (RVI) has shown strong correlation and linear relationship with VWC for rice and soybeans. Using the SMAP radar to produce RVI values that are coincident to brightness temperature measurements may eliminate the need for LAI estimates. The SMAP Validation Experiment 2012 (SMAPVEX12) was a cal/val campaign for the SMAP mission held in Manitoba, Canada, during a 6-week period in June and July, 2012. During this campaign, soil moisture measurements were obtained for 55 fields with varying soil texture and vegetation cover. Vegetation was sampled from each field weekly to determine the VWC. Soil moisture measurements were taken coincident to overpasses by an aircraft carrying the Passive and Active L-band System (PALS) instrumentation. The aircraft flew flight lines at both high and low altitudes. The low altitude flight lines provided a footprint size approximately equivalent to the size of the SMAPVEX12 field sites. Of the 55 field sites, the low altitude flight lines provided

  20. MAMAP/CarbonMapper -A versatile passive airborne remote sensing spectrometer system for validation of GHG satellite missions

    NASA Astrophysics Data System (ADS)

    Gerilowski, Konstantin; Krings, Thomas; Buchwitz, Michael; Burrows, John P.; Bovensmann, Heinrich; Tretner, Andreas; Sachs, Torsten; Erzinger, Joerg

    Carbon dioxide (CO2) and methane (CH4) are the two most important anthro-pogenic greenhouse gases. Methane is furthermore one of the most potent future contributors to the anthropogenic greenhouse effect due to its by a factor of 20 higher radiative forcing potential compared to carbon dioxide and due to poten-tially larger future emissions related to global warming. Up to now our knowledge on methane sources and sinks is based primarily on sparse in-situ local point mea-surements from micro sites and surface networks on the one hand and low spatial resolution satellite observations on the other hand. This leads to an existing gap concerning spatial resolution and spatial coverage. In order to fill this gap a new passive airborne 2-channel grating spectrometer remote sensing instrument for small scale and mesoscale column-averaged methane and carbon dioxide observa-tions has been developed. This Methane Airborne MAPper (MAMAP) instrument measures reflected and scattered solar radiation in the short wave infrared (SWIR) and near-infrared (NIR) parts of the electro-magnetic spectrum at moderate spec-tral resolution. Thus a high sensitivity to concentration changes down to ground can be achieved. The SWIR channel covers absorption bands of CH4 and CO2 between 1.59-1.69 µm with a resolution of 0.82 nm. The NIR channel around 0.76 µm covers the O2-A-band with a resolution of 0.46 nm. MAMAP has been de-signed for flexible operation on board of several small and large airborne platforms. The airborne CH4 and CO2 retrieval precisions are typically equal or better 1 % (1 σ) total column relative to the background. The sensor opens new possibili-ties to estimate strong localized CH4 and CO2 emissions such as anthropogenic fugitive emissions from gas industry and waste deposits, emissions from coal-fired power plants or geological emissions from seepage and volcanoes in comparison with results obtained from space borne sensors.

  1. Synergistic Use of SMOS Measurements with SMAP Derived and In-situ Data over Valencia Anchor Station by Using Downscaling Technique

    NASA Astrophysics Data System (ADS)

    Ansari Amoli, Abdolreza; Lopez-Baeza, Ernesto; Mahmoudi, Ali; Mahmoodi, Ali

    2016-07-01

    Synergistic Use of SMOS Measurements with SMAP Derived and In-situ Data over the Valencia Anchor Station by Using a Downscaling Technique Ansari Amoli, A.(1),Mahmoodi, A.(2) and Lopez-Baeza, E.(3) (1) Department of Earth Physics and Thermodynamics, University of Valencia, Spain (2) Centre d'Etudes Spatiales de la BIOsphère (CESBIO), France (3) Department of Earth Physics and Thermodynamics, University of Valencia, Spain Soil moisture products from active sensors are not operationally available. Passive remote sensors return more accurate estimates, but their resolution is much coarser. One solution to overcome this problem is the synergy between radar and radiometric data by using disaggregation (downscaling) techniques. Few studies have been conducted to merge high resolution radar and coarse resolution radiometer measurements in order to obtain an intermediate resolution product. In this paper we present an algorithm using combined available SMAP (Soil Moisture Active and Passive) radar and SMOS (Soil Moisture and Ocean Salinity) radiometer measurements to estimate surface soil moisture over the Valencia Anchor Station (VAS), Valencia, Spain. The goal is to combine the respective attributes of the radar and radiometer observations to estimate soil moisture at a resolution of 3 km. The algorithm disaggregates the coarse resolution SMOS (15 km) radiometer brightness temperature product based on the spatial variation of the high resolution SMAP (3 km) radar backscatter. The disaggregation of the radiometer brightness temperature uses the radar backscatter spatial patterns within the radiometer footprint that are inferred from the radar measurements. For this reason the radar measurements within the radiometer footprint are scaled by parameters that are derived from the temporal fluctuations in the radar and radiometer measurements.

  2. Data Management System Reuse for Visualization of JPL's SMAP Project

    NASA Astrophysics Data System (ADS)

    Alarcon, C.; Huang, T.; Roberts, J. T.; Rodriguez, J. D.; Quach, N. T.; De Cesare, C.; Hall, J. R.

    2015-12-01

    The Imagery Exchange (TIE) is a scalable and efficient imagery data management system that powers the WMS web server OnEarth. Designed and developed at the Jet Propulsion Laboratory (JPL), TIE's primary purpose was to power the NASA's Global Imagery Browse Services (GIBS), a system that provides full resolution imagery from a broad set of Earth science disciplines to the public. The SMAP project at JPL had just about all of its requirements met with GIBS but required very project-specific behavior and automation for the Cal-Val phase of the project. Thanks to the extendable design of TIE (already an extension of JPL's Horizon framework) and Amazon's GovCloud services, we were able to meet the needs of the project without any rewrite of the system while significantly expanding the capabilities of an already robust system through well modularized feature additions. In this presentation, we will talk about the efforts made to re-use the already developed data system TIE for SMAP with minimal turn around. Leveraging cloud resources and standard interfaces, we were able to satisfy new project requirements in a very short amount of time.

  3. Detecting soil moisture pulses and associated vegetation response in a southern Arizona watershed using SMAP and MODIS

    NASA Astrophysics Data System (ADS)

    Barnes, M.; Moran, M. S.; Scott, R. L.

    2015-12-01

    In arid and semiarid ecosystems, rainfall pulses and associated vegetation responses play a crucial role in ecosystem and hydrologic functioning. While rainfall pulses are generally correlated with increased photosynthetic activity, the effect of these rainfall pulses in the context of persistent drought is unclear. Rainfall events during drought can lead to an overall reduction in primary productivity due to reduced soil infiltration and increased erosion. To assess the effective rainfall available for initiating biological processes, measurements of soil moisture are necessary. Rainfall pulses in drylands are generally localized in time and space making them difficult to detect remotely. Our objective was to determine whether space-based observations of soil moisture have the necessary spatial and temporal resolution to detect soil moisture pulses resulting from rain events in the Walnut Gulch Experimental Watershed (WGEW) in southern Arizona. Using pre-beta-release soil moisture observations from the newly launched NASA Soil Moisture Active Passive (SMAP) observatory, we examined the effects of rainfall pulses on soil moisture over the Walnut Gulch Experimental Watershed from April to July 2015. To assess whether soil moisture pulses were associated with increased vegetation production, we monitored increases in vegetation greenness using the NASA MODIS Enhanced Vegetation Index (EVI) following increases in soil moisture. Regional-scale results were supported with local-scale in situ measurements of soil moisture, vegetation greenness from phenocams, precipitation and Net Ecosystem Exchange (NEE) associated with two eddy covariance flux towers at WGEW. In conclusion, SMAP observations have the potential to detect large rainfall pulses at the 9 km resolution, and the associated soil moisture pulses can result in increased EVI at the watershed scale. These results contribute to our understanding of the ecosystem and hydrologic functioning of dryland ecosystems.

  4. Mapping soil moisture and surface heat fluxes by assimilating GOES land surface temperature and SMAP soil moisture data

    NASA Astrophysics Data System (ADS)

    Lu, Yang; Steele-Dunne, Susan C.; van de Giesen, Nick

    2017-04-01

    This study is focused on estimating soil moisture and sensible/latent heat fluxes by assimilating remotely-sensed land surface temperature (LST) and soil moisture data. Surface heat fluxes interact with the overlying atmosphere, and play a crucial role in the water and energy cycles. However, they cannot be directly measured using remote sensing. It has been demonstrated that LST time series contain information about the surface energy balance, and that assimilating soil moisture further improves the estimation by putting more constraints on the energy partitioning. In previous studies, two controlling factors were estimated: (1) a monthly constant bulk heat transfer coefficient (CHN) that scales the sum of surface heat fluxes, and (2) an evaporative fraction (EF) which governs the energy partitioning and stays quasi-constant during the near-peak hours. Considering the fact that CHN is not constant especially in the growing season, here CHN is assumed a function of leaf area index (LAI). LST data from GOES (Geostationary Operational Environmental Satellites) and soil moisture data from SMAP (Soil Moisture Active Passive) are both assimilated into a simply heat and water transfer model to update LST, soil moisture, CHN and EF , and to map surface heat fluxes over a study area in central US. A hybrid data assimilation strategy is necessary because SMAP data are available every 2-3 days, while GOES LST data are provided every hour. In this study, LST data are assimilated using an adaptive particle batch smoother (APBS) and soil moisture is periodically updated using a particle filter (PF). Results show that soil moisture is greatly improved, and that EF estimates are restored very well after assimilation. As forcing data are provided by remote sensing or reanalysis products to minimize the dependence on ground measurements, this methodology can be easily applied in other regions with limited data.

  5. Design and Development of the SMAP Microwave Radiometer Electronics

    NASA Technical Reports Server (NTRS)

    Piepmeier, Jeffrey R.; Medeiros, James J.; Horgan, Kevin A.; Brambora, Clifford K.; Estep, Robert H.

    2014-01-01

    The SMAP microwave radiometer will measure land surface brightness temperature at L-band (1413 MHz) in the presence of radio frequency interference (RFI) for soil moisture remote sensing. The radiometer design was driven by the requirements to incorporate internal calibration, to operate synchronously with the SMAP radar, and to mitigate the deleterious effects of RFI. The system design includes a highly linear super-heterodyne microwave receiver with internal reference loads and noise sources for calibration and an innovative digital signal processor and detection system. The front-end comprises a coaxial cable-based feed network, with a pair of diplexers and a coupled noise source, and radiometer front-end (RFE) box. Internal calibration is provided by reference switches and a common noise source inside the RFE. The RF back-end (RBE) downconverts the 1413 MHz channel to an intermediate frequency (IF) of 120 MHz. The IF signals are then sampled and quantized by high-speed analog-to-digital converters in the radiometer digital electronics (RDE) box. The RBE local oscillator and RDE sampling clocks are phase-locked to a common reference to ensure coherency between the signals. The RDE performs additional filtering, sub-band channelization, cross-correlation for measuring third and fourth Stokes parameters, and detection and integration of the first four raw moments of the signals. These data are packetized and sent to the ground for calibration and further processing. Here we discuss the novel features of the radiometer hardware particularly those influenced by the need to mitigate RFI.

  6. Spatiotemporal analysis of soil moisture in using active and passive remotely sensed data and ground observations

    NASA Astrophysics Data System (ADS)

    Li, H.; Fang, B.; Lakshmi, V.

    2015-12-01

    Abstract: Soil moisture plays a vital role in ecosystem, biological processes, climate, weather and agriculture. The Soil Moisture Active Passive (SMAP) improves data by combining the advantages and avoiding the limitation of passive microwave remote sensing (low resolution), and active microwave (challenge of soil moisture retrieval). This study will advance the knowledge of the application of soil moisture by using the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12) data as well as data collected at Walnut Gulch Arizona in August 2015 during SMAPVEX15. Specifically, we will analyze the 5m radar data from Unmanned Airborne Vehicle Synthetic Aperture Radar (UAVSAR) to study spatial variability within the PALS radiometer pixel. SMAPVEX12/15 and SMAP data will also be analyzed to evaluate disaggregation algorithms. The analytical findings will provide valuable information for policy-makers to initiate and adjust protocols and regulations for protecting land resources and improving environmental conditions. Keywords: soil moisture, Remote Sensing (RS), spatial statistic

  7. Scanning L Band Active Passive Validation Experiment 2013

    NASA Astrophysics Data System (ADS)

    Joseph, A. T.; Kim, E. J.; Faulkner, T.; Patel, H.; Cosh, M. H.

    2014-12-01

    SLAP (Scanning L-band Active Passive) comprises of a fully polarimetric L-band radiometer and fully polarimetric L-band radar with a shared antenna. SLAP is designed to be compatible with several aircrafts; specifically, C-23, Twin Otter, P-3, and C-130. SLAP is designed for simplicity, accuracy, & reliability. It leverages, as much as possible, existing instruments, hardware, and software in order to minimize cost, time, and risk.The SLAP airborne/ground campaign is designed to conduct flight testing and ground truth for the airborne instrument. The campaign took place the third week of December 2013 in Eastern Shore, MD. SLAP contributes to the NASA's core mission because of its ability to serve as an airborne simulator for the SMAP (Soil Moisture Active Passive) satellite mission, one of NASA's flagship missions scheduled to launch in January 2015. A 3-day aircraft validation campaign was conducted where the new SLAP instrument flew three separate days over the proposed sampling region. The study area is a mixed agriculture and forest site located about 1 hour east of Washington, DC on the Eastern Shore (of the Chesapeake Bay). This region is located on the Delmarva Peninsula. The advantages of the selected site are: (1) Site was used before in previous field campaign (SMAPVEX08) (2) ARS HRSL has some established sampling sites within region (3) Dynamic variation in land cover (4) Variety of plant structures and densities. The goal of this campaign was to fly the instrument over the proposed site before a rain event, then have 2 other flights after the rain event to capture a dry down. In conjunction with the aircraft, there was in-situ ground sampling. Ground observations were collected concurrent with aircraft flights. These included soil moisture, soil temperature, surface temperature, surface roughness and vegetation parameters. Forest sites were monitored with small temporary networks of in situ sensors installed prior to the first flight. Soil moisture was

  8. PolarCube: A High Resolution Passive Microwave Satellite for Sounding and Imaging at 118 GHz

    NASA Astrophysics Data System (ADS)

    Weaver, R. L.; Gallaher, D. W.; Gasiewski, A. J.; Sanders, B.; Periasamy, L.; Hwang, K.; Alvarenga, G.; Hickey, A. M.

    2013-12-01

    PolarCube is a 3U CubeSat hosting an eight-channel passive microwave spectrometer operating at the 118.7503 GHz oxygen resonance that is currently in development. The project has an anticipated launch date in early 2015. It is currently being designed to operate for approximately12 months on orbit to provide the first global 118-GHz spectral imagery of the Earth over full seasonal cycle and to sound Arctic vertical temperature structure. The principles used by PolarCube for temperature sounding are well established in number of peer-reviewed papers going back more than two decades, although the potential for sounding from a CubeSat has never before been demonstrated in space. The PolarCube channels are selected to probe atmospheric emission over a range of vertical levels from the surface to lower stratosphere. This capability has been available operationally for over three decades, but at lower frequencies and higher altitudes that do not provide the spatial resolution that will be achieved by PolarCube. While the NASA JPSS ATMS satellite sensor provides global coverage at ~32 km resolution, the PolarCube will improve on this resolution by a factor of two, thus facilitating the primary science goal of determining sea ice concentration and extent while at the same time collecting profile data on atmospheric temperature. Additionally, we seek to correlate freeze-thaw line data from SMAP with our near simultaneously collected atmospheric temperature data. In addition to polar science, PolarCube will provide a first demonstration of a very low cost passive microwave sounder that if operated in a fleet configuration would have the potential to fulfill the goals of the Precipitation Atmospheric Temperature and Humidity (PATH) mission, as defined in the NRC Decadal Survey. PolarCube 118-GHz passive microwave spectrometer in deployed configuration

  9. Development of a High Resolution Passive Microwave 3U Cubesat for High Resolution Temperature Sounding and Imaging at 118 GHz

    NASA Astrophysics Data System (ADS)

    Gasiewski, A. J.; Sanders, B. T.; Gallaher, D. W.; Periasamy, L.; Alvarenga, G.; Weaver, R.; Scambos, T. A.

    2014-12-01

    PolarCube is a 3U CubeSat based on the CU ALL-STAR bus hosting an eight-channel passive microwave scanning spectrometer operating at the 118.7503 GHz (1-) O2 resonance. The anticipated launch date is in late 2015. It is being designed to operate for 12 months on orbit to provide global 118-GHz spectral imagery of the Earth over a full seasonal cycle. The mission will focus on the study of Arctic vertical temperature structure and its relation to sea ice coverage, but include the secondary goals of assessing the potential for convective cloud mass detection and cloud top altitude measurement and hurricane warm core sounding. The principles used by PolarCube for sounding and cloud measurement have been well established in number of peer-reviewed papers, although measurements using the 118 GHz oxygen line over the dry polar regions (unaffected by water vapor) have never been demonstrated from space. The PolarCube channels are selected to probe clear-air emission over vertical levels from the surface to the lower stratosphere. Operational spaceborne microwave soundings have available for decades but using lower frequencies (50-57 GHz) and from higher altitudes. While the JPSS ATMS sensor provides global coverage at ~32 km resolution PolarCube will improve on this resolution by a factor of two (~16 km), thus facilitating a key science goal of mapping sea ice concentration and extent while obtaining temperature profile data. Additionally, we seek to correlate freeze-thaw line data from the NASA SMAP mission with atmospheric temperature structure to help understand the relationship between clouds, temperature, and surface energy fluxes during seasonal transitions. PolarCube will also provide the first demonstration of a very low cost passive microwave sounder that if operated in a fleet configuration would have the potential to fulfill the goals of the Precipitation Atmospheric Temperature and Humidity (PATH) mission, as defined in the NRC Decadal Survey.

  10. Recent Advances in the Salinity Retrieval Algorithms for Aquarius and SMAP

    NASA Astrophysics Data System (ADS)

    Meissner, T.; Wentz, F. J.

    2016-12-01

    Our presentation discusses the latest improvements in the salinity retrievals for both Aquarius and SMAP since the last releases. The Aquarius V4.0 was released in June 2015 and the SMAP V 1.0 was released in November 2015. Upcoming releases are planned for SMAP (V 2.0) in August 2016 and for Aquarius (V 5.0) late 2017. The full 360o look capability of SMAP makes it possible to take observations from the forward and backward looking direction at the same instance of time. This two-look capability strongly aids the salinity retrievals. One of the largest spurious contaminations in the salinity retrievals is caused by the galaxy that is reflected from the ocean surface. Because in most instances the reflected galaxy appears only in either the forward or the backward look, it is possible to determine its contribution by taking the difference of the measured SMAP brightness temperatures between the two looks. Our result suggests that the surface roughness that is used in the galactic correction needs to be increased and also the strength of some of the galactic sources need to be slightly adjusted. The improved galaxy correction is getting implemented in upcoming Aquarius and SMAP salinity releases and strongly aids the mitigation of residual zonal and temporal biases that are observed in both products. Another major cause of the observed zonal biases in SMAP is the emissive SMAP mesh antenna. In order to correct for it the physical temperature of the antenna is needed. No direct measurements but only a thermal model are available. We discuss recent improvements in the correction for the emissive SMAP antenna and show how most of the zonal biases in V1.0 can be mitigated. Finally, we show that observed salty biases at higher Northern latitudes can be explained by inaccuracies in the model that is used in correcting for the absorption by atmospheric oxygen. These biases can be decreased by fine-tuning the parameters in the absorption model.

  11. Development of an Infrared Lamp Array for the Smap Spacecraft Thermal Balance Test

    NASA Technical Reports Server (NTRS)

    Miller, Jennifer R.; Emis, Nickolas; Forgette, Daniel

    2015-01-01

    NASA launched the SMAP observatory in January 2015 aboard a Delta II into a sun-synchronous orbit around Earth. The science payload of a radar and a radiometer utilizes a shared rotating six-meter antenna to provide a global map of the Earth's soil moisture content and its freeze/thaw state on a global, high-resolution scale in this three-year mission. An observatory-level thermal balance test conducted in May/June 2014 validated the thermal design and demonstrated launch readiness as part of the planned environmental test campaign. An infrared lamp array was designed and used in the thermal balance test to replicate solar heating on the solar array and sunlit side of the spacecraft that would normally be seen in orbit. The design, implementation, and operation of an infrared lamp array used for this nineteen-day system thermal test are described in this paper. Instrumental to the smooth operation of this lamp array was a characterization test performed in the same chamber two months prior to the observatory test to provide insight into its array operation and flux uniformity. This knowledge was used to identify the lamp array power settings that would provide the worst case predicted on-orbit fluxes during eclipse, cold, and hot cases. It also showed the lamp array variation when adjustments in flux were needed. Calorimeters calibrated prior to testing determined a relationship between calorimeter temperature and lamp array flux. This allowed the team to adjust the lamp output for the desired absorbed flux on the solar array. Flux levels were within 10% of the desired value at the center of the solar array with an ability to maintain these levels within 5% during steady state cases. All tests demonstrated the infrared lamp array functionality and furthered lamp array understanding for modeling purposes. This method contributed to a high-fidelity environmental simulation, which was required to replicate the extreme on-orbit thermal environments.

  12. Combined active and passive microwave remote sensing of soil moisture for vegetated surfaces at L-band

    USDA-ARS?s Scientific Manuscript database

    The distorted Born approximation (DBA) combined with the numerical solutions of Maxwell equations (NMM3D) has been used for the radar backscattering model for the SMAP mission. The models for vegetated surfaces such as wheat, grass, soybean and corn have been validated with the Soil Moisture Active ...

  13. Surface soil moisture retrieval using the L-band synthetic aperture radar onboard the Soil Moisture Active Passive satellite and evaluation at core validation sites

    USDA-ARS?s Scientific Manuscript database

    This paper evaluates the retrieval of soil moisture in the top 5-cm layer at 3-km spatial resolution using L-band dual-copolarized Soil Moisture Active Passive (SMAP) synthetic aperture radar (SAR) data that mapped the globe every three days from mid-April to early July, 2015. Surface soil moisture ...

  14. KSC-2015-1260

    NASA Image and Video Library

    2015-01-31

    VANDENBERG AIR FORCE BASE, Calif. – Kent Kellogg, SMAP project manager at the Jet Propulsion Laboratory in Pasadena, California, participates in a news conference at Vandenberg Air Force Base in California following NASA's successful launch of the Soil Moisture Active Passive satellite, or SMAP, on its mission to study the Earth's soil moisture. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  15. Enhancements and Evolution of the Real Time Mission Monitor

    NASA Technical Reports Server (NTRS)

    Goodman, Michael; Blakeslee, Richard; Hardin, Danny; Hall, John; He, Yubin; Regner, Kathryn

    2008-01-01

    The Real Time Mission Monitor (RTMM) is a visualization and information system that fuses multiple Earth science data sources, to enable real time decision-making for airborne and ground validation experiments. Developed at the National Aeronautics and Space Administration (NASA) Marshall Space Flight Center, RTMM is a situational awareness, decision-support system that integrates satellite imagery, radar, surface and airborne instrument data sets, model output parameters, lightning location observations, aircraft navigation data, soundings, and other applicable Earth science data sets. The integration and delivery of this information is made possible using data acquisition systems, network communication links, network server resources, and visualizations through the Google Earth virtual globe application. RTMM has proven extremely valuable for optimizing individual Earth science airborne field experiments. Flight planners, mission scientists, instrument scientists and program managers alike appreciate the contributions that RTMM makes to their flight projects. We have received numerous plaudits from a wide variety of scientists who used RTMM during recent field campaigns including the 2006 NASA African Monsoon Multidisciplinary Analyses (NAMMA), 2007 Tropical Composition, Cloud, and Climate Coupling (TC4), 2008 Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) missions, the 2007-2008 NOAA-NASA Aerosonde Hurricane flights and the 2008 Soil Moisture Active-Passive Validation Experiment (SMAP-VEX). Improving and evolving RTMM is a continuous process. RTMM recently integrated the Waypoint Planning Tool, a Java-based application that enables aircraft mission scientists to easily develop a pre-mission flight plan through an interactive point-and-click interface. Individual flight legs are automatically calculated for altitude, latitude, longitude, flight leg distance, cumulative distance, flight leg time, cumulative time, and

  16. Enhancements and Evolution of the Real Time Mission Monitor

    NASA Technical Reports Server (NTRS)

    Goodman, Michael; Blakeslee, Richard; Hardin, Danny; Hall, John; He, Yubin; Regner, Kathryn

    2008-01-01

    The Real Time Mission Monitor (RTMM) is a visualization and information system that fuses multiple Earth science data sources, to enable real time decision-making for airborne and ground validation experiments. Developed at the National Aeronautics and Space Administration (NASA) Marshall Space Flight Center, RTMM is a situational awareness, decision-support system that integrates satellite imagery, radar, surface and airborne instrument data sets, model output parameters, lightning location observations, aircraft navigation data, soundings, and other applicable Earth science data sets. The integration and delivery of this information is made possible using data acquisition systems, network communication links, network server resources, and visualizations through the Google Earth virtual globe application. RTMM has proven extremely valuable for optimizing individual Earth science airborne field experiments. Flight planners, mission scientists, instrument scientists and program managers alike appreciate the contributions that RTMM makes to their flight projects. We have received numerous plaudits from a wide variety of scientists who used RTMM during recent field campaigns including the 2006 NASA African Monsoon Multidisciplinary Analyses (NAMMA), 2007 Tropical Composition, Cloud, and Climate Coupling (TC4), 2008 Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) missions, the 2007-2008 NOAA-NASA Aerosonde Hurricane flights and the 2008 Soil Moisture Active-Passive Validation Experiment (SMAP-VEX). Improving and evolving RTMM is a continuous process. RTMM recently integrated the Waypoint Planning Tool, a Java-based application that enables aircraft mission scientists to easily develop a pre-mission flight plan through an interactive point-and-click interface. Individual flight legs are automatically calculated for altitude, latitude, longitude, flight leg distance, cumulative distance, flight leg time, cumulative time, and

  17. Analysis of the performance of a passive hybrid powerplant to power a lightweight unmanned aerial vehicle for a high altitude mission

    NASA Astrophysics Data System (ADS)

    Renau, Jordi; Sánchez, Fernando; Lozano, Antonio; Barroso, Jorge; Barreras, Félix

    2017-07-01

    The objective of this research is to analyze the performance of a passive hybrid powerplant control system to be implemented in a lightweight unmanned aerial vehicle capable to ascend up to the high troposphere (10,000 m). The powerplant is based on a high-temperature PEM fuel cell connected in parallel to a set of lithium-polymer batteries and regulated by two power diodes. Test performed in steady state demonstrates that the use of the hybrid system increases the efficiency of the stack by more than 7% because the voltage at the main DC bus is limited by the batteries. The robustness of the passive control system is proved in a long-term test in which random perturbations of ±15% are applied to the average power that would be demanded during the ascent flight. The hybridization of the stack with the batteries eliminates sudden peaks in the current generated by the stack, which are responsible for prompt degradation phenomena that drastically reduce its useful lifetime. The study demonstrates that with the passive hybrid powerplant it is possible to reach the target height with the gas storage system considered in the application, contrary to what happens with the simple power plant.

  18. Clathrin dependent endocytosis of E-cadherin is regulated by the Arf6GAP isoform SMAP1.

    PubMed

    Kon, Shunsuke; Tanabe, Kenji; Watanabe, Toshio; Sabe, Hisataka; Satake, Masanobu

    2008-04-15

    E-cadherin is a central component of the adherens junction in epithelial cells and continuously undergoes endocytosis via clathrin-coated vesicles and/or caveolae depending on the cell type. In this study, we examined the role of SMAP1, a clathrin-interacting GTPase-activating protein (GAP) for the ADP-ribosylation factor 6 (Arf6) GTPase, in E-cadherin endocytosis. Mardin-Darby canine kidney (MDCK) epithelial cells were used as a model, and SMAP1 localized in the cytoplasm and along the adherens junction where E-cadherin was present. Next, activity of SMAP1 was compared with that of other Arf6GAPs (and/or an effector of Arf6-GTP), namely GIT1 and AMAP2/DDEF2. Overexpression of SMAP1 but not GIT1 nor AMAP2/DDEF2 strongly inhibited basal, as well as phorbolester-induced, internalization of E-cadherin. Notably, AMAP2/DDEF2 rather enhanced the caveolae-mediated incorporation of a membrane protein other than E-cadherin. Thus, in MDCK cells, E-cadherin appeared to be endocytosed solely through SMAP1-regulated clathrin-coated vesicles. Furthermore, MDCK cells overexpressing SMAP1 showed a reduced degree of cell migration compared to untransfected cells, as assessed by wound healing and Transwell assays, and this reduction in migration appeared to be due to the accumulation of E-cadherin at the adherens junction in cells overexpressing SMAP1. Collectively, SMAP1 likely represents a key Arf6GAP in clathrin dependent endocytosis of E-cadherin in MDCK cells. This activity of SMAP1 in E-cadherin turnover may be involved in epithelial organization and/or epithelial-mesenchymal transition.

  19. Ground-based L-band active and passive observations of growing corn and soybean during SMAPVEX16-MicroWEX

    NASA Astrophysics Data System (ADS)

    Judge, Jasmeet; Liu, Pang-Wei; Chakrabarti, Subit; Steele-Dunne, Susan; Monsivais-Huertero, Alejandro; Bongiovanni, Tara; DeRoo, Roger; England, Anthony

    2017-04-01

    The NASA Soil Moisture Active/Passive (SMAP) and the ESA Soil Moisture and Ocean Salinity (SMOS) missions include microwave radiometers at L-band that provides global observations of SM at 36 and 25km, respectively, with a repeat coverage of every 2-3 days. Agricultural regions, with their highly dynamic vegetation and spatial heterogeneity are particularly challenging for soil moisture retrieval algorithms. The Microwave Water and Energy Balance Experiment was conducted as part of the SMAP Validation Experiment (SMAPVEX16-MicroWEX) during the summer of 2016 in a predominantly agricultural region in Iowa, USA. During SMAPVEX16-MicroWEX, ground-based observations of active and passive signatures were obtained every 15-30 minutes during a growing season of corn and soybean from May 23 through September 2, 2016. The field site was within the South Fork Watershed at the Sweeney Farms, near the city of Buckeye. The University of Florida L-band Automated Radar System (UF-LARS) observed the backscatter from corn. The brightness temperatures (TB) at the corn site were observed by the University of Michigan L-Band Radiometer (UMLMR), while those at the soybean site were observed by the University of Florida L-band Microwave Radiometer (UFLMR). Concurrent and co-located observations of soil, vegetation, and micro-meteorological conditions were also conducted at both the sites. The passive signatures from both the corn and the soybean sites were found to be similar during the early season, as both the fields were nearly bare terrains. As expected, the TB diverge during the mid-season, when the vegetation water content (VWC) of the corn is about 2 kg/m2. Interestingly, the TB of the two crops are similar again toward the end of the season, when VWC of the soybean crop reaches about 2 kg/m2. Preliminary modeling results show that physically-based emission models significantly underestimate vegetation opacity for a mature soybean canopy. These findings provide insights into

  20. Analysis of in situ resources for the Soil Moisture Active Passive Validation Experiments in 2015 and 2016

    NASA Astrophysics Data System (ADS)

    Cosh, M. H.; Jackson, T. J.; Colliander, A.; Bindlish, R.; McKee, L.; Goodrich, D. C.; Prueger, J. H.; Hornbuckle, B. K.; Coopersmith, E. J.; Holifield Collins, C.; Smith, J.

    2016-12-01

    With the launch of the Soil Moisture Active Passive Mission (SMAP) in 2015, a new era of soil moisture monitoring was begun. Soil moisture is available on a near daily basis at a 36 km resolution for the globe. But this dataset is only as valuable if its products are accurate and reliable. Therefore, in order to demonstrate the accuracy of the soil moisture product, NASA enacted an extensive calibration and validation program with many in situ soil moisture networks contributing data across a variety of landscape regimes. However, not all questions can be answered by these networks. As a result, two intensive field experiments were executed to provide more detailed reference points for calibration and validation. Multi-week field campaigns were conducted in Arizona and Iowa at the USDA Agricultural Research Service Walnut Gulch and South Fork Experimental Watersheds, respectively. Aircraft observations were made to provide a high resolution data product. Soil moisture, soil roughness and vegetation data were collected at high resolution to provide a downscaled dataset to compare against aircraft and satellite estimates.

  1. Development of Small Molecule Activators of Protein Phosphotase 2A (SMAPs) for the Treatment of Castration Resistant Prostate Cancer

    DTIC Science & Technology

    2016-10-01

    1 AWARD NUMBER: W81XWH-15-1-0598 TITLE: Development of Small Molecule Activators of Protein Phosphotase 2A (SMAPs) for the Treatment of...Small Molecule Activators of Protein Phosphotase 2A (SMAPs) for the Treatment of Castration-Resistant Prostate Cancer 5a. CONTRACT NUMBER 5b. GRANT...SUPPLEMENTARY NOTES 14. ABSTRACT Subject: Protein phosphatase 2A (PP2A) is among the most abundant serine threonine phosphatases in mammalian cells, a bona

  2. Early results of the SMAP In Situ Sensor Testbed

    USDA-ARS?s Scientific Manuscript database

    In 2010, an ambitious soil moisture sensor intercomparison study was begun in Marena, Oklahoma. This effort is designed to serve as a foundation for incorporating diverse soil moisture networks into the Soil Moisture Active Passive Calibration and Validation program Using technology which is curr...

  3. Using SMOS observations in the development of the SMAP level 4 surface and root-zone soil moisture project

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture and Ocean Salinity (SMOS; [1]) mission was launched by ESA in November 2009 and has since been observing L-band (1.4 GHz) upwelling passive microwaves. Along with these brightness temperature observations, ESA also disseminates retrievals of surface soil moisture that are derived ...

  4. SMAP Global Map of Surface Soil Moisture Aug. 25-27, 2015

    NASA Image and Video Library

    2015-09-02

    A three-day composite global map of surface soil moisture as retrieved from NASA SMAP radiometer instrument between Aug. 25-27, 2015. Dry areas appear yellow/orange, such as the Sahara Desert, western Australia and the western U.S. Wet areas appear blue, representing the impacts of localized storms. White areas indicate snow, ice or frozen ground. http://photojournal.jpl.nasa.gov/catalog/PIA19877

  5. Uncertainty in SMAP Soil Moisture Measurements Caused by Dew

    USDA-ARS?s Scientific Manuscript database

    Soil moisture is an important reservoir of the hydrologic cycle that regulates the exchange of moisture and energy between the land surface the atmosphere. Two satellite missions will soon make the first global measurements of soil moisture at the optimal microwave wavelength within L-band: ESA's So...

  6. Reliability of Sn/Pb and Lead-Free (SnAgCu) Solders of Surface Mounted Miniaturized Passive Components for Extreme Temperature (-185 C to +125 C) Space Missions

    NASA Technical Reports Server (NTRS)

    Ramesham, Rajeshuni

    2011-01-01

    Surface mount electronic package test boards have been assembled using tin/lead (Sn/Pb) and lead-free (Pb-free or SnAgCu or SAC305) solders. The soldered surface mount packages include ball grid arrays (BGA), flat packs, various sizes of passive chip components, etc. They have been optically inspected after assembly and subsequently subjected to extreme temperature thermal cycling to assess their reliability or future deep space, long-term, extreme temperature environmental missions. In this study, the employed temperature range (-185oC to +125oC) covers military specifications (-55oC to +100oC), extreme old Martian (-120oC to +115oC), asteroid Nereus (-180oC to +25oC) and JUNO (-150oC to +120oC) environments. The boards were inspected at room temperature and at various intervals as a function of extreme temperature thermal cycling and bake duration. Electrical resistance measurements made at room temperature are reported and the tests to date have shown some change in resistance as a function of extreme temperature thermal cycling and some showed increase in resistance. However, the change in interconnect resistance becomes more noticeable with increasing number of thermal cycles. Further research work will be carried out to understand the reliability of packages under extreme temperature applications (-185oC to +125oC) via continuously monitoring the daisy chain resistance for BGA, Flat-packs, lead less chip packages, etc. This paper will describe the experimental reliability results of miniaturized passive components (01005, 0201, 0402, 0603, 0805, and 1206) assembled using surface mounting processes with tin-lead and lead-free solder alloys under extreme temperature environments.

  7. Reliability of Sn/Pb and lead-free (SnAgCu) solders of surface mounted miniaturized passive components for extreme temperature (-185°C to +125°C) space missions

    NASA Astrophysics Data System (ADS)

    Ramesham, Rajeshuni

    2011-02-01

    Surface mount electronic package test boards have been assembled using tin/lead (Sn/Pb) and lead-free (Pb-free or SnAgCu or SAC305) solders. The soldered surface mount packages include ball grid arrays (BGA), flat packs, various sizes of passive chip components, etc. They have been optically inspected after assembly and subsequently subjected to extreme temperature thermal cycling to assess their reliability for future deep space, long-term, extreme temperature environmental missions. In this study, the employed temperature range (-185°C to +125°C) covers military specifications (-55°C to +100°C), extreme cold Martian (-120°C to +115°C), asteroid Nereus (-180°C to +25°C) and JUNO (-150°C to +120°C) environments. The boards were inspected at room temperature and at various intervals as a function of extreme temperature thermal cycling and bake duration. Electrical resistance measurements made at room temperature are reported and the tests to date have shown some change in resistance as a function of extreme temperature thermal cycling and some showed increase in resistance. However, the change in interconnect resistance becomes more noticeable with increasing number of thermal cycles. Further research work will be carried out to understand the reliability of packages under extreme temperature applications (-185°C to +125°C) via continuously monitoring the daisy chain resistance for BGA, Flat-packs, lead less chip packages, etc. This paper will describe the experimental reliability results of miniaturized passive components (01005, 0201, 0402, 0603, 0805, and 1206) assembled using surface mounting processes with tin-lead and lead-free solder alloys under extreme temperature environments.

  8. Reliability of Sn/Pb and Lead-Free (SnAgCu) Solders of Surface Mounted Miniaturized Passive Components for Extreme Temperature (-185 C to +125 C) Space Missions

    NASA Technical Reports Server (NTRS)

    Ramesham, Rajeshuni

    2011-01-01

    Surface mount electronic package test boards have been assembled using tin/lead (Sn/Pb) and lead-free (Pb-free or SnAgCu or SAC305) solders. The soldered surface mount packages include ball grid arrays (BGA), flat packs, various sizes of passive chip components, etc. They have been optically inspected after assembly and subsequently subjected to extreme temperature thermal cycling to assess their reliability or future deep space, long-term, extreme temperature environmental missions. In this study, the employed temperature range (-185oC to +125oC) covers military specifications (-55oC to +100oC), extreme old Martian (-120oC to +115oC), asteroid Nereus (-180oC to +25oC) and JUNO (-150oC to +120oC) environments. The boards were inspected at room temperature and at various intervals as a function of extreme temperature thermal cycling and bake duration. Electrical resistance measurements made at room temperature are reported and the tests to date have shown some change in resistance as a function of extreme temperature thermal cycling and some showed increase in resistance. However, the change in interconnect resistance becomes more noticeable with increasing number of thermal cycles. Further research work will be carried out to understand the reliability of packages under extreme temperature applications (-185oC to +125oC) via continuously monitoring the daisy chain resistance for BGA, Flat-packs, lead less chip packages, etc. This paper will describe the experimental reliability results of miniaturized passive components (01005, 0201, 0402, 0603, 0805, and 1206) assembled using surface mounting processes with tin-lead and lead-free solder alloys under extreme temperature environments.

  9. Airborne Soil Moisture determination at regional level: A data fusion mission approach for Catalan territory

    NASA Astrophysics Data System (ADS)

    Martin, Francisco; Corbera, Jordi; Marchan, Juan Fernando; Camps, Adriano

    2010-05-01

    During the last years the importance of water management has grown considerably. Average temperatures exhibit an increasing pattern (0.77 °C during the last 20 years) that is expected to continue in the next years. These results in a decrease in the hydrical resources (15% during the last 20 years for the Catalan territori) being the expectative not very optimist. A tangible consequence was the drought episode that suffers Catalonia. It is within this scenario that the ‘Programa Català d'Observació de la Terra' (PCOT) as a unit of the official mapping agency of Catalonia, the ‘Institut Cartogràfic de Catalunya' (ICC) has detected the need to develop new tools to improve the management of water resources. The knowledge of soil moisture across a given region can help to efficiently manage the limited water resources. Present Earth Observations missions such as ESA's SMOS, or the future NASA's SMAP focus considerably their efforts in the estimation of soil moisture. The main drawbacks are the resolutions obtained (40 km for SMOS, 10 km for SMAP), which are not adequate for regional scale and territorial availability such as the case of Catalonia where a spatial resolution in a range between 20-30m. and 100-150m. is desired both for local actuations and to deteminate hidric soil patterns In this scenario, PCOT is carrying out an airborne soil moisture mission for the Catalan territory, taking advantage of the availability of ICC aircrafts and of more than 20 years of experience in making aircraft campaigns and operating hyperspectral airborne sensors such as CASI (0.75-1.4 µm) and TASI (8-11.5 µm) to respond to environmental and cartographic end users needs of geoinformation data, products and services. This mission will generate soil moisture maps over the Catalan region that will improve the water management, and will also be used for the study of the hydrological patterns of Catalonia. Soil moisture determination will be achieved by means of L

  10. Robust Platinum Resistor Thermometer (PRT) Sensors and Reliable Bonding for Space Missions

    NASA Technical Reports Server (NTRS)

    Cucullu, Gordy C. III; Mikhaylov, Rebecca; Ramesham, Rajeshuni; Petkov, Mihail; Hills, David; Uribe, Jose; Okuno, James; De Los Santos, Greg

    2013-01-01

    Platinum resistance thermometers (PRTs) provide accurate temperature measurements over a wide temperature range and are used extensively on space missions due to their simplicity and linearity. A standard on spacecraft, PRTs are used to provide precision temperature control and vehicle health assessment. This paper reviews the extensive reliability testing of platinum resistor thermometer sensors (PRTs) and bonding methods used on the Mars Science Laboratory (MSL) mission and for the upcoming Soil Moisture Active Passive (SMAP) mission. During the Mars Exploration Rover (MER) mission, several key, JPL-packaged PRTs failed on those rovers prior to and within 1-Sol of landing due to thermally induced stresses. Similar failures can be traced back to other JPL missions dating back thirty years. As a result, MSL sought out a PRT more forgiving to the packaging configurations used at JPL, and extensively tested the Honeywell HRTS-5760-B-U-0-12 sensor to successfully demonstrate suitable robustness to thermal cycling. Specifically, this PRT was cycled 2,000 times, simulating three Martian winters and summers. The PRTs were bonded to six substrate materials (Aluminum 7050, treated Magnesium AZ231-B, Stainless Steel 304, Albemet, Titanium 6AL4V, and G-10), using four different aerospace adhesives--two epoxies and two silicones--that conformed to MSL's low out-gassing requirements. An additional epoxy was tested in a shorter environmental cycling test, when the need for a different temperature range adhesive was necessary for mobility and actuator hardware late in the fabrication process. All of this testing, along with electrostatic discharge (ESD) and destructive part analyses, demonstrate that this PRT is highly robust, and not subject to the failure of PRTs on previous missions. While there were two PRTs that failed during fabrication, to date there have been no in-flight PRT failures on MSL, including those on the Curiosity rover. Since MSL, the sensor has gone through

  11. Robust Platinum Resistor Thermometer (PRT) Sensors and Reliable Bonding for Space Missions

    NASA Technical Reports Server (NTRS)

    Cucullu, Gordy C., III; Mikhaylov, Rebecca; Rajeshuni, Ramesham; Petkov, Mihail; Hills, David; Uribe, Jose; Okuno, James; De Los Santos, Greg

    2013-01-01

    Platinum resistance thermometers (PRTs) provide accurate temperature measurements over a wide temperature range and are used extensively on space missions due to their simplicity and linearity. A standard on spacecraft, PRTs are used to provide precision temperature control and vehicle health assessment. This paper reviews the extensive reliability testing of platinum resistor thermometer sensors (PRTs) and bonding methods used on the Mars Science Laboratory (MSL) mission and for the upcoming Soil Moisture Active Passive (SMAP) mission. During the Mars Exploration Rover (MER) mission, several key, JPL-packaged PRTs failed on those rovers prior to and within 1-Sol of landing due to thermally induced stresses. Similar failures can be traced back to other JPL missions dating back thirty years. As a result, MSL sought out a PRT more forgiving to the packaging configurations used at JPL, and extensively tested the Honeywell HRTS-5760-B-U-0-12 sensor to successfully demonstrate suitable robustness to thermal cycling. Specifically, this PRT was cycled 2,000 times, simulating three Martian winters and summers. The PRTs were bonded to six substrate materials (Aluminum 7050, treated Magnesium AZ231-B, Stainless Steel 304, Albemet, Titanium 6AL4V, and G-10), using four different aerospace adhesives--two epoxies and two silicones--that conformed to MSL's low out-gassing requirements. An additional epoxy was tested in a shorter environmental cycling test, when the need for a different temperature range adhesive was necessary for mobility and actuator hardware late in the fabrication process. All of this testing, along with electrostatic discharge (ESD) and destructive part analyses, demonstrate that this PRT is highly robust, and not subject to the failure of PRTs on previous missions. While there were two PRTs that failed during fabrication, to date there have been no in-flight PRT failures on MSL, including those on the Curiosity rover. Since MSL, the sensor has gone through

  12. Robust Platinum Resistor Thermometer (PRT) Sensors and Reliable Bonding for Space Missions

    NASA Technical Reports Server (NTRS)

    Cucullu, Gordy C., III; Mikhaylov, Rebecca; Rajeshuni, Ramesham; Petkov, Mihail; Hills, David; Uribe, Jose; Okuno, James; De Los Santos, Greg

    2013-01-01

    Platinum resistance thermometers (PRTs) provide accurate temperature measurements over a wide temperature range and are used extensively on space missions due to their simplicity and linearity. A standard on spacecraft, PRTs are used to provide precision temperature control and vehicle health assessment. This paper reviews the extensive reliability testing of platinum resistor thermometer sensors (PRTs) and bonding methods used on the Mars Science Laboratory (MSL) mission and for the upcoming Soil Moisture Active Passive (SMAP) mission. During the Mars Exploration Rover (MER) mission, several key, JPL-packaged PRTs failed on those rovers prior to and within 1-Sol of landing due to thermally induced stresses. Similar failures can be traced back to other JPL missions dating back thirty years. As a result, MSL sought out a PRT more forgiving to the packaging configurations used at JPL, and extensively tested the Honeywell HRTS-5760-B-U-0-12 sensor to successfully demonstrate suitable robustness to thermal cycling. Specifically, this PRT was cycled 2,000 times, simulating three Martian winters and summers. The PRTs were bonded to six substrate materials (Aluminum 7050, treated Magnesium AZ231-B, Stainless Steel 304, Albemet, Titanium 6AL4V, and G-10), using four different aerospace adhesives--two epoxies and two silicones--that conformed to MSL's low out-gassing requirements. An additional epoxy was tested in a shorter environmental cycling test, when the need for a different temperature range adhesive was necessary for mobility and actuator hardware late in the fabrication process. All of this testing, along with electrostatic discharge (ESD) and destructive part analyses, demonstrate that this PRT is highly robust, and not subject to the failure of PRTs on previous missions. While there were two PRTs that failed during fabrication, to date there have been no in-flight PRT failures on MSL, including those on the Curiosity rover. Since MSL, the sensor has gone through

  13. Robust Platinum Resistor Thermometer (PRT) Sensors and Reliable Bonding for Space Missions

    NASA Technical Reports Server (NTRS)

    Cucullu, Gordy C. III; Mikhaylov, Rebecca; Ramesham, Rajeshuni; Petkov, Mihail; Hills, David; Uribe, Jose; Okuno, James; De Los Santos, Greg

    2013-01-01

    Platinum resistance thermometers (PRTs) provide accurate temperature measurements over a wide temperature range and are used extensively on space missions due to their simplicity and linearity. A standard on spacecraft, PRTs are used to provide precision temperature control and vehicle health assessment. This paper reviews the extensive reliability testing of platinum resistor thermometer sensors (PRTs) and bonding methods used on the Mars Science Laboratory (MSL) mission and for the upcoming Soil Moisture Active Passive (SMAP) mission. During the Mars Exploration Rover (MER) mission, several key, JPL-packaged PRTs failed on those rovers prior to and within 1-Sol of landing due to thermally induced stresses. Similar failures can be traced back to other JPL missions dating back thirty years. As a result, MSL sought out a PRT more forgiving to the packaging configurations used at JPL, and extensively tested the Honeywell HRTS-5760-B-U-0-12 sensor to successfully demonstrate suitable robustness to thermal cycling. Specifically, this PRT was cycled 2,000 times, simulating three Martian winters and summers. The PRTs were bonded to six substrate materials (Aluminum 7050, treated Magnesium AZ231-B, Stainless Steel 304, Albemet, Titanium 6AL4V, and G-10), using four different aerospace adhesives--two epoxies and two silicones--that conformed to MSL's low out-gassing requirements. An additional epoxy was tested in a shorter environmental cycling test, when the need for a different temperature range adhesive was necessary for mobility and actuator hardware late in the fabrication process. All of this testing, along with electrostatic discharge (ESD) and destructive part analyses, demonstrate that this PRT is highly robust, and not subject to the failure of PRTs on previous missions. While there were two PRTs that failed during fabrication, to date there have been no in-flight PRT failures on MSL, including those on the Curiosity rover. Since MSL, the sensor has gone through

  14. KSC-2015-1263

    NASA Image and Video Library

    2015-01-31

    VANDENBERG AIR FORCE BASE, Calif. – Geoff Yoder, deputy associate administrator of the Science Mission Directorate at NASA Headquarters in Washington D.C., participates in a news conference at Vandenberg Air Force Base in California, following NASA's successful launch of the Soil Moisture Active Passive satellite, or SMAP, on its mission to study the Earth's soil moisture. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  15. Performance of SMAP, AMSR-E and LAI for weekly agricultural drought forecasting over continental United States

    NASA Astrophysics Data System (ADS)

    Liu, Di; Mishra, Ashok K.; Yu, Zhongbo; Yang, Chuanguo; Konapala, Goutam; Vu, Tue

    2017-10-01

    This study applied support vector machines (SVMs) and data assimilation (DA) methods to investigate the performance of in-situ and remotely sensed products (i.e., leaf area index (LAI), AMSR-E and SMAP soil moisture retrievals) for near-real time agricultural drought forecasting for in-situ stations located in continental United States (CONUS). The agricultural drought was quantified using soil water deficit index (SWDI) derived based on available soil moisture and basic soil water parameters. It is observed that SVMs or SVM-DA with limited meteorological variables as inputs able to forecast SWDI at most of the in-situ stations up to 1-2-week lead time. Addition of remotely sensed products (i.e., LAI, AMSR-E, SMAP) either individually or simultaneously as inputs to SVMs can able to improve SWDI forecast at most of the stations where the strong relationship exists between LAI (and/or AMSR-E, SMAP) with SWDI. Such improvement can persist up to 2-4-week lead time at some of the stations. But the efficiency tends to decrease with the increase in lead time. The addition of both LAI and SMAP (AMSR-E) performs better than the independent addition of LAI or SMAP (AMSR-E). Typically, the performance of drought prediction varies at local scales; therefore it is difficult to generalize our findings at regional scale.

  16. Feasibility of inter-comparing airborne and spaceborne obsevations of radar backscattering coefficients

    USDA-ARS?s Scientific Manuscript database

    The Soil Moisture Active Passive (SMAP) mission will provide global soil moisture products that will facilitate new science and application areas. The SMAP mission, scheduled for launch in November 2014, will offer synthetic aperture radar (SAR) measurements of backscattering coefficients for the re...

  17. Lack of SMALL ACIDIC PROTEIN 1 (SMAP1) causes increased sensitivity to an inhibitor of RUB/NEDD8-activating enzyme in Arabidopsis seedlings.

    PubMed

    Oono, Yutaka; Nakasone, Akari

    2013-10-01

    SMALL ACIDIC PROTEIN 1 (SMAP1) functions upstream of the degradation of AUX/IAA-proteins in the response to 2,4-dichlorophenoxyacetic acid and physically interacts with the COP9 SIGNALOSOME (CSN). Also, its function is linked to RELATED TO UBIQUITIN (RUB) modification. To further investigate the relationship between SMAP1 and the RUB modification system, we examined the effect of MLN4924, an inhibitor of RUB/NEDD8-activating E1 enzyme, on the growth of Arabidopsis thaliana. We found that the anti-auxin resistant 1 mutants, which lack SMAP1, are more sensitive to MLN4924 than wild type and that SMAP1 is responsible for this hypersensitivity. This new evidence supports our previous speculation that SMAP1 acts in Cullin-RING ubiquitin E3 ligase regulated signaling processes via its interaction with components associated with the RUB modification system.

  18. The SmAP2 RNA binding motif in the 3'UTR affects mRNA stability in the crenarchaeum Sulfolobus solfataricus.

    PubMed

    Märtens, Birgit; Sharma, Kundan; Urlaub, Henning; Bläsi, Udo

    2017-09-06

    Sm and Sm-like proteins represent an evolutionarily conserved family with key roles in RNA metabolism in Pro- and Eukaryotes. In this study, a collection of 53 mRNAs that co-purified with Sulfolobus solfataricus (Sso) SmAP2 were surveyed for a specific RNA binding motif (RBM). SmAP2 was shown to bind with high affinity to the deduced consensus RNA binding motif (SmAP2-cRBM) in vitro. Residues in SmAP2 interacting with the SmAP2-cRBM were mapped by UV-induced crosslinking in combination with mass-spectrometry, and verified by mutational analyses. The RNA-binding site on SmAP2 includes a modified uracil binding pocket containing a unique threonine (T40) located on the L3 face and a second residue, K25, located in the pore. To study the function of the SmAP2-RBM in vivo, three authentic RBMs were inserted in the 3'UTR of a lacS reporter gene. The presence of the SmAP2-RBM in the reporter-constructs resulted in decreased LacS activity and reduced steady state levels of lacS mRNA. Moreover, the presence of the SmAP2-cRBM in and the replacement of the lacS 3'UTR with that of Sso2194 encompassing a SmAP2-RBM apparently impacted on the stability of the chimeric transcripts. These results are discussed in light of the function(s) of eukaryotic Lsm proteins in RNA turnover. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  19. KSC-2015-1216

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – Sam Thurman, deputy project manager for NASA's Soil Moisture Active Passive mission, or SMAP, addresses the audience of a NASA Social held at Vandenberg Air Force Base in California. This NASA Social brought together mission scientists and engineers with an audience of 70 students, educators, social media managers, bloggers, photographers and videographers who were selected from a pool of 325 applicants from 45 countries to participate in launch activities and communicate their experience with social media followers. The SMAP mission is scheduled to launch from Vandenberg on Jan. 29. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  20. KSC-2015-1261

    NASA Image and Video Library

    2015-01-31

    VANDENBERG AIR FORCE BASE, Calif. – During a news conference at Vandenberg Air Force Base in California, NASA officials discuss the launch of the Soil Moisture Active Passive satellite, or SMAP, and its mission to study the Earth's soil moisture. Participating in the briefing, from left, are Kent Kellogg, SMAP project manager at the Jet Propulsion Laboratory in Pasadena, California, Scott Higginbotham, NASA mission manager for Educational Launch of Nanosatellites, or ELaNa-X, at the Kennedy Space Center, and Geoff Yoder, deputy associate administrator of the Science Mission Directorate at NASA Headquarters. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  1. KSC-2015-1265

    NASA Image and Video Library

    2015-01-31

    VANDENBERG AIR FORCE BASE, Calif. – During a news conference at Vandenberg Air Force Base in California, NASA officials discuss the launch of the Soil Moisture Active Passive satellite, or SMAP, and its mission to study the Earth's soil moisture. Participating in the briefing, from left, are Kent Kellogg, SMAP project manager at the Jet Propulsion Laboratory in Pasadena, California, Scott Higginbotham, NASA mission manager for Educational Launch of Nanosatellites, or ELaNa-X, at the Kennedy Space Center, and Geoff Yoder, deputy associate administrator of the Science Mission Directorate at NASA Headquarters. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  2. Passive euthanasia

    PubMed Central

    Garrard, E; Wilkinson, S

    2005-01-01

    The idea of passive euthanasia has recently been attacked in a particularly clear and explicit way by an "Ethics Task Force" established by the European Association of Palliative Care (EAPC) in February 2001. It claims that the expression "passive euthanasia" is a contradiction in terms and hence that there can be no such thing. This paper critically assesses the main arguments for the Task Force's view. Three arguments are considered. Firstly, an argument based on the (supposed) wrongness of euthanasia and the (supposed) permissibility of what is often called passive euthanasia. Secondly, the claim that passive euthanasia (so-called) cannot really be euthanasia because it does not cause death. And finally, a consequence based argument which appeals to the (alleged) bad consequences of accepting the category of passive euthanasia. We conclude that although healthcare professionals' nervousness about the concept of passive euthanasia is understandable, there is really no reason to abandon the category provided that it is properly and narrowly understand and provided that "euthanasia reasons" for withdrawing or withholding life-prolonging treatment are carefully distinguished from other reasons. PMID:15681666

  3. Global soil moisture dry-down analysis based on SMAP retrievals

    NASA Astrophysics Data System (ADS)

    Wang, W.; Lu, H.; Peng, B.; Entekhabi, D.; Pan, M.; Mccoll, K. A.; Akbar, R.; Zhao, T.

    2016-12-01

    The rate at which soil moisture depletes following a precipitation event (the soil moisture dry-down) encodes information on several hydrological parameters, most prominently vertical drainage and evapotranspiration. The initial phase of the dry-down process is usually controlled by vertical drainage and soil hydraulic properties. The second phase is usually controlled by the evapotranspiration rate. Better insight into dry-down processes at global scales will enhance our understanding of soil moisture's role in the terrestrial water cycle. The launch of SMAP gives us unprecedented opportunities for studying dry-down processes globally. In this study, an algorithm for dry-down event detection was developed. Dry-down events are identified globally using one year of SMAP data from April 2015 to March 2016. Three sites spanning different climate zones, including Texas in the USA, southern China, and central Australia, were selected for testing and validation of the algorithm. Results in these sites show that the algorithm can efficiently identify dry-down events. The algorithm was then applied globally. The number of dry-down events, average dry-down duration, and average dry-down slope were estimated based on one year of SMAP data at each grid point. We relate the rate of the dry-down at each location to the time-history of precipitation, seasonal climate and the relative dominance of drainage and evaporation loss processes. The rate of dry-down under difference hydrologic and hydroclimatic regimes is proposed to be a rigorous test of how well land surface models capture and incorporate physical processes and land memory.

  4. L-band Radiometer Calibration Consistency Assessment for the SMOS, SMAP, and Aquarius Instruments

    NASA Technical Reports Server (NTRS)

    Dinnat, Emmanuel; Le Vine, David

    2016-01-01

    Three L-band radiometers have been observing the Earth in order to retrieve soil moisture and ocean salinity. They use different instrument configurations and calibration and retrieval algorithms. In any case, the brightness temperature retrieved at the Earth surface should be consistent between all instruments. One reason for inconsistency would be the use of different approaches for the instrument calibration or the use of different models to retrieve surface brightness temperature. We report on the different approaches used for the SMOS, SMAP and Aquarius instruments and their impact on the observations consistency.

  5. Orion Passive Thermal Control Overview

    NASA Technical Reports Server (NTRS)

    Miller, Stephen W.

    2007-01-01

    An viewgraph presentation of Orion's passive thermal control system is shown. The topics include: 1) Orion in CxP Hierarchy; 2) General Orion Description/Orientation; 3) Module Descriptions and Images; 4) Orion PTCS Overview; 5) Requirements/Interfaces; 6) Design Reference Missions; 7) Natural Environments; 8) Thermal Models; 9) Challenges/Issues; and 10) Testing

  6. On the identification of representative in situ soil moisture monitoring stations for the validation of SMAP soil moisture products in Australia

    NASA Astrophysics Data System (ADS)

    Yee, Mei Sun; Walker, Jeffrey P.; Monerris, Alessandra; Rüdiger, Christoph; Jackson, Thomas J.

    2016-06-01

    The high spatio-temporal variability of soil moisture complicates the validation of remotely sensed soil moisture products using in situ monitoring stations. Therefore, a standard methodology for selecting the most representative stations for the purpose of validating satellites and land surface models is essential. Based on temporal stability and geostatistical studies using long-term soil moisture records, intensive ground measurements and airborne soil moisture products, this study investigates the representativeness of soil moisture monitoring stations within the Yanco study area for the validation of NASA's Soil Moisture Active Passive (SMAP) products at 3 km for radar, 9 km for radar-radiometer and 36 km for radiometer pixels. This resulted in the identification of a number of representative stations according to the different scales. Although the temporal stability method was found to be suitable for identifying representative stations, stations based on the mean relative difference (MRD) were not necessarily the most representative of the areal average. Moreover, those identified from standard deviation of the relative difference (SDRD) may be dry-biased. It was also found that in the presence of heterogeneous land use, stations should be weighted based on proportions of agricultural land. Airborne soil moisture products were also shown to provide useful a priori information for identifying representative locations. Finally, recommendations are made regarding the design of future networks for satellite validation, and specifically the most representative stations for the Yanco area.

  7. SMOS, ASCAT, SMAP and ERA soil moisture comparison through the triple and quadruple collocation technique

    NASA Astrophysics Data System (ADS)

    Fascetti, F.; Pierdicca, N.; Pulvirenti, L.; Crapolicchio, R.

    2016-10-01

    In this work, a comparison between soil moisture products derived from satellite and land model data was performed; in particular, the soil moisture retrievals of SMOS and ASCAT were compared with those of the ERA-Interim/Land model, produced by the ECMWF in a timeframe of 3 years. Subsequently, for a limited period of time, the product from the SMAP radiometer was joined to SMOS, ASCAT and ERA-Interim model data as a fourth dataset. In both cases, the whole H-SAF region of interest, which includes Northern Africa and Europe, was analysed. In order to validate the products, the Triple Collocation technique was applied to estimate the independent error standard deviation of three systems that observe the same target parameter. When more than three datasets were available, the Quadruple Collocation technique was used to jointly estimate the error standard deviation of four sources. Moreover, when the SMOS and SMAP radiometer products were considered, the Extended Collocation was adopted in order to evaluate the error variances of the systems, taking into account the possible presence of an error cross-correlation between the radiometer retrievals.

  8. Comparing SMAP to Macro-scale and Hyper-resolution Land Surface Models over Continental U. S.

    NASA Astrophysics Data System (ADS)

    Pan, M.; Cai, X.; Chaney, N.; Wood, E. F.

    2015-12-01

    SMAP sensors collect moisture information in top soil at the spatial resolution of ~40 km (radiometer) and ~1 to 3 km (SAR). Such information is extremely valuable for understanding various terrestrial hydrologic processes and their implications on human life. At the same time, soil moisture is a joint consequence of numerous physical processes (precipitation, temperature, radiation, topography, crop/vegetation dynamics, soil properties, etc.) that happen at a wide range of scales from tens of kilometers down to tens of meters. Therefore, a full and thorough analysis/exploration of SMAP data products calls for investigations at multiple spatial scales - from regional, to catchment, and to field scales. Here we first compare the SMAP retrievals to the Variable Infiltration Capacity (VIC) macro-scale land surface model simulations over the continental U. S. region at 3-km resolution. The forcing inputs to the model are merged/downscaled from a suite of best available data products including the NLDAS-2 forcing, Stage IV and Stage II precipitation, GOES Solar Insolation Product, and fine elevation data. The near real time VIC simulation is intended to provide a source of large scale comparisons at the active sensor resolution. Beyond the VIC model scale, we perform comparisons at 30-m resolution against the recently developed HydroBloks hyper-resolution land surface model over several densely gauged USDA experimental watersheds. Comparisons are also made against in-situ point-scale observations from various SMAP Cal/Val sites.

  9. Application of triple collocation for the ground-based validation of soil moisture active/passive (SMAP) soil moisture products

    USDA-ARS?s Scientific Manuscript database

    The contrast in horizontal spatial support between ground-based soil moisture observations and satellite-derived soil moisture estimates represents a long-standing challenge for the validation of satellite soil moisture data products [Crow et al., 2014]. This challenge can be alleviated by limiting ...

  10. Early conclusions of the soil moisture active passive Marena Oklahoma in situ sensor testbed (SMAP-Moisst)

    USDA-ARS?s Scientific Manuscript database

    Monitoring soil moisture state has been increasing in importance as climate patterns become more unpredictable. Remote sensing technologies have been developed and are approaching operational use, however, there is still a need to monitor soil moisture via in situ networks to maintain satellite vali...

  11. Going Up

    NASA Image and Video Library

    2015-01-21

    At Space Launch Complex 2 on Vandenberg Air Force Base in California, NASA Soil Moisture Active Passive SMAP mission satellite is lifted up the side of a mobile service tower for mating to its Delta II rocket.

  12. Sunset at Vandenberg

    NASA Image and Video Library

    2015-01-21

    The sun sets behind Space Launch Complex 2, Vandenberg Air Force Base, California, where NASA Soil Moisture Active Passive SMAP mission satellite is being prepared for liftoff. Launch is scheduled for Jan. 29.

  13. Modeling SMAP Spacecraft Attitude Control Estimation Error Using Signal Generation Model

    NASA Technical Reports Server (NTRS)

    Rizvi, Farheen

    2016-01-01

    Two ground simulation software are used to model the SMAP spacecraft dynamics. The CAST software uses a higher fidelity model than the ADAMS software. The ADAMS software models the spacecraft plant, controller and actuator models, and assumes a perfect sensor and estimator model. In this simulation study, the spacecraft dynamics results from the ADAMS software are used as CAST software is unavailable. The main source of spacecraft dynamics error in the higher fidelity CAST software is due to the estimation error. A signal generation model is developed to capture the effect of this estimation error in the overall spacecraft dynamics. Then, this signal generation model is included in the ADAMS software spacecraft dynamics estimate such that the results are similar to CAST. This signal generation model has similar characteristics mean, variance and power spectral density as the true CAST estimation error. In this way, ADAMS software can still be used while capturing the higher fidelity spacecraft dynamics modeling from CAST software.

  14. How Does Dew Affect L-band Backscatter? Analysis of PALS Data at the Iowa Validation Site and Implications for SMAP

    USDA-ARS?s Scientific Manuscript database

    NASA's Soil Moisture Active Passive satellite mission will use both an L-band radiometer and radar to produce global-scale measurements of soil moisture. L-band backscatter is also sensitive to the water content of vegetation. We found that a moderate dew increased the L-band backscatter of a soybea...

  15. Mission peculiar equipment /MPE/ for Spacelab Mission 1 payload

    NASA Technical Reports Server (NTRS)

    Sims, J. H.; Dodeck, H.

    1982-01-01

    A variety of payload integrator-furnished, Mission Peculiar Equipment (MPE) has been incorporated by the Spacelab Mission 1 payload complement in order to satisfy each payload developer's interface and service requirements. Attention is given to the design features of secondary structures, the NASA Experiment Power Branching Distributor and ESA Junction Box, module cabling and vent lines, and passive thermal protection. A major task to be fulfilled during payload integration is the satisfaction of all instrument and facility servicing requirements without mutual interference.

  16. Mission engineering

    NASA Technical Reports Server (NTRS)

    Ondrus, Paul; Fatig, Michael

    1993-01-01

    Goddard Space Flight Center's projects are facing new challenges with respect to the cost effective development and operation of spaceflight missions. Challenges, such as cost limits, compression of schedules, rapidly changing technology, and increasing mission complexity are making the mission development process more dynamic. A concept of 'Mission Engineering' as a means of addressing these challenges is proposed. It is an end-to-end, multimission development methodology that seeks to integrate the development processes between the space, ground, science, and operations segments of a mission. It thereby promotes more mission-oriented system solutions, within and across missions.

  17. Alternative to Nitric Acid Passivation

    NASA Technical Reports Server (NTRS)

    Kessel, Kurt R.

    2016-01-01

    Corrosion is an extensive problem that affects the National Aeronautics and Space Administration (NASA) and European Space Agency (ESA). The deleterious effects of corrosion result in steep costs, asset downtime affecting mission readiness, and safety risks to personnel. It is vital to reduce corrosion costs and risks in a sustainable manner. The primary objective of this effort is to qualify citric acid as an environmentally-preferable alternative to nitric acid for passivation of stainless steel alloys.

  18. The decadal survey tier 2 missions

    NASA Astrophysics Data System (ADS)

    Neeck, Steven P.; Jucks, Kenneth W.; Lindstrom, Eric J.; Maring, Hal; Turner, Woody

    2008-10-01

    In January 2007, the National Research Council (NRC) released the first decadal survey addressing Earth science entitled "Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond". The study, initiated in 2004, conducted a decadal survey to generate consensus recommendations from the Earth and environmental science and applications communities regarding a systems approach to the space-based and ancillary observations encompassing the research programs of NASA, the related operational programs of the National Oceanic and Atmospheric Administration (NOAA), and associated programs, such as Landsat, a joint initiative of the U.S. Geological Survey (USGS) and NASA. Among its many recommendations, were that NOAA and NASA should undertake a set of 17 missions, phased over the next decade in three year groupings. Of these 17 missions, 15 were designated to NASA. The four NASA Phase 1 missions are currently in Pre-Phase A study at different levels of development with SMAP, a soil moisture monitoring mission, targeting a launch date of 2013 and ICESat-II, intended to continue the record initiated by ICESat-I to monitor ice sheet height changes for climate change diagnosis, targeting a launch date of 2015. The CLARREO solar and earth radiation monitoring mission and the DESDynI Earth surface and ice deformation monitoring mission are preparing to enter Pre-Phase A in 2009. The five NASA Phase 2 missions are: SWOT, a wide swath altimeter mission measuring ocean, lake, and river water levels; HyspIRI, a hyperspectral mission for measuring land surface composition for agriculture and mineral characterization and vegetation types for ecosystem health; ASCENDS, a day/night, all-latitude, all-season CO2 column measuring mission; ACE, an aerosol and cloud profiling mission for climate and water cycle research with an ocean color measuring capability for open ocean biogeochemistry; and GEO-CAPE, a geostationary mission for measuring atmospheric

  19. Aquarius Active-Passive RFI Environment at L-Band

    NASA Technical Reports Server (NTRS)

    Le Vine, David M.; De Matthaeis, Paolo

    2014-01-01

    Active/Passive instrument combinations (i.e., radiometer and radar) are being developed at L-band for remote sensing of sea surface salinity and soil moisture. Aquarius is already in orbit and SMAP is planned for launch in the Fall of 2014. Aquarius has provided for the first time a simultaneous look at the Radio Frequency Interference (RFI) environment from space for both active and passive instruments. The RFI environment for the radiometer observations is now reasonably well known and examples from Aquarius are presented in this manuscript that show that RFI is an important consideration for the scatterometer as well. In particular, extensive areas of the USA, Europe and Asia exhibit strong RFI in both the radiometer band at 1.41 GHz and in the band at 1.26 GHz employed by the Aquarius scatterometer. Furthermore, in areas such as the USA, where RFI at 1.4 GHz is relatively well controlled, RFI in the scatterometer band maybe the limiting consideration for the operation of combination active/passive instruments.

  20. KSC-2015-1259

    NASA Image and Video Library

    2015-01-31

    VANDENBERG AIR FORCE BASE, Calif. – An exhaust cloud builds around the United Launch Alliance Delta II rocket as it lifts off Space Launch Complex 2 at Vandenberg Air Force Base, carrying NASA's Soil Moisture Active Passive satellite, or SMAP, on a mission to study global coverage of soil moisture and freeze/thaw measurements. Launch was at 9:22 a.m. EST. SMAP is designed to produce the highest-resolution maps of soil moisture ever obtained from space. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  1. KSC-2015-1258

    NASA Image and Video Library

    2015-01-31

    VANDENBERG AIR FORCE BASE, Calif. – The two-stage Delta II launch vehicle lifts off Space Launch Complex 2 at Vandenberg Air Force Base, carrying NASA's Soil Moisture Active Passive satellite, or SMAP, on a mission to study global coverage of soil moisture and freeze/thaw measurements. Launch was at 9:22 a.m. EST. SMAP is designed to produce the highest-resolution maps of soil moisture ever obtained from space. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  2. Mariner Missions

    NASA Astrophysics Data System (ADS)

    Snyder, C.; Murdin, P.

    2000-11-01

    Mariner was the name given to the earliest set of American space missions to explore the planets and to the spacecraft developed to carry them out. The missions were planned and executed by the JET PROPULSION LABORATORY (JPL) of the California Institute of Technology, which had been designated by the National Aeronautics and Space Administration (NASA) as its lead center for planetary missions....

  3. [The mission].

    PubMed

    Ruiz Moreno, J; Blanch Mon, A

    2000-01-01

    After having made a historical review of the concept of mission statement, of evaluating its importance (See Part I), of describing the bases to create a mission statement from a strategic perspective and of analyzing the advantages of this concept, probably more important as a business policy (See Parts I and II), the authors proceed to analyze the mission statement in health organizations. Due to the fact that a mission statement is lacking in the majority of health organizations, the strategy of health organizations are not exactly favored; as a consequence, neither are its competitive advantage nor the development of its essential competencies. After presenting a series of mission statements corresponding to Anglo-Saxon health organizations, the authors highlight two mission statements corresponding to our social context. The article finishes by suggesting an adequate sequence for developing a mission statement in those health organizations having a strategic sense.

  4. [Passive euthanasia].

    PubMed

    Trube-Becker, E

    1977-01-01

    After having been acquainted with the historical development of euthanasia, the following steps for assitance in dying, called passive euthanasia are being discussed. a) Assistance during dying without speeding up death is the self-evident duty of a doctor. b) Assistance during death and speeding up the same as an unavoidable result of therapeutical treatment, more or less desired or more or less unavoidable. c) Assistance through letting the patient die by abandoning all therapeutical means, when these would only lead to a short extension of life time. No doctor is compelled to take measures to extend life if it is against the will of the patient. He is not even entitled to do so. A special problem is the abandoning of extended operative treatment, this borders on the so called active enthanasia. The dying patient always has the same right of treatment by a docter as well as nursing like all other suffering human beings. The decision to let a patient die should not result in leaving him by himself and to abandon all nursing as well. Such steps would include letting him lie in dirty linen, not sucking off the mucous secretion from the trachea, refusal to assist during mealtimes, non-assistance during cathetering, and the removal of the dying person to the bathroom, or any other remote orner of the hospital. No dying person should stay without help Loneliness especially is the greatest pain of a dying patient.

  5. Mission description

    NASA Technical Reports Server (NTRS)

    Baldwin, R. R.

    1972-01-01

    The Apollo 15 manned lunar-landing mission is discussed. As compared with previous Apollo manned lunar-landing missions, the mission 15 is characterized by increased hardware capability, a larger scientific payload, and a battery-powered lunar roving vehicle (Rover). Benefits resulting from these additions to Apollo 15 were a mission duration of 12-1/3 days, a lunar stay time of nearly 67 hr, a lunar-surface traverse distance of 27.9 km traveled at an average speed of 9.6 km/hr, and a scientific instrument module (SIM) containing equipment for orbital experiments and photographic tasks not performed on previous missions. The primary scientific objectives of the mission were to perform selenological inspection, survey, and sampling of materials and surface features in a preselected area of the Hadley-Apennine region; to emplace and activate surface experiments; and to conduct inflight experiments and photographic tasks from lunar orbit.

  6. NICER Mission

    NASA Image and Video Library

    2017-09-28

    This video previews the Neutron star Interior Composition Explorer (NICER). NICER is an Astrophysics Mission of Opportunity within NASA’s Explorer program, which provides frequent flight opportunities for world-class scientific investigations from space utilizing innovative, streamlined and efficient management approaches within the heliophysics and astrophysics science areas. NASA’s Space Technology Mission Directorate supports the SEXTANT component of the mission, demonstrating pulsar-based spacecraft navigation. NICER is an upcoming International Space Station payload scheduled to launch in June 2017. Learn more about the mission at nasa.gov/nicer NASA image use policy. NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram

  7. Cassini Mission

    SciTech Connect

    Mitchell, Robert

    2005-08-10

    The Cassini/Huygens mission is a joint NASA/European Space Agency/Italian Space Agency project which has a spacecraft currently in orbit about Saturn, and has successfully sent an atmospheric probe through the atmosphere of Saturn's largest moon Titan and down to its previously hidden surface. This presentation will describe the overall mission, how it got a rather massive spacecraft to Saturn, and will cover some of the scientific results of the mission to date.

  8. KSC-2014-3167

    NASA Image and Video Library

    2014-07-17

    VANDENBERG AIR FORCE BASE, Calif. – Preparations are underway at Space Launch Complex 2 on Vandenberg Air Force Base in California for the arrival of the rocket components slated to launch NASA's Soil Moisture Active Passive mission, or SMAP, in November 2014. A United Launch Alliance Delta II rocket will be used to deliver SMAP into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  9. KSC-2014-3166

    NASA Image and Video Library

    2014-07-17

    VANDENBERG AIR FORCE BASE, Calif. – NASA's Soil Moisture Active Passive mission, or SMAP, is scheduled to launch in November 2014 from Space Launch Complex 2 on Vandenberg Air Force Base in California, seen here on a temperate, fog-free summer's day. A United Launch Alliance Delta II rocket will be used to deliver SMAP into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  10. KSC-2014-2832

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – The transportation trailer containing the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, arrives in the Building 836 high bay on south Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  11. KSC-2014-2834

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – The lid is lifted from the transportation trailer containing the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, in the Building 836 high bay on Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  12. KSC-2014-2839

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – Workers move a section of the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, across the floor of the Building 836 high bay on Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  13. KSC-2015-1236

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Randy Beaudoin

  14. KSC-2014-2835

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – A worker steadies the lid of the transportation trailer containing the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, in the Building 836 high bay on Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  15. KSC-2015-1226

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at the Space Launch Complex 2 at Vandenberg Air Force Base, California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Kim Shiflett

  16. KSC-2015-1225

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at the Space Launch Complex 2 at Vandenberg Air Force Base, California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Kim Shiflett

  17. KSC-2015-1234

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Randy Beaudoin

  18. KSC-2014-2841

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – Workers rotate a section of the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, in a lifting device in the Building 836 high bay on Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  19. KSC-2014-2838

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – Workers lift a section of the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, from a transportation trailer in the Building 836 high bay on Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  20. KSC-2015-1223

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at the Space Launch Complex 2 at Vandenberg Air Force Base, California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Kim Shiflett

  1. KSC-2015-1235

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Randy Beaudoin

  2. KSC-2014-2845

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – A section of the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, hovers above its hardware dolly in the Building 836 high bay on south Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  3. KSC-2015-1228

    NASA Image and Video Library

    2015-01-29

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at the Space Launch Complex 2 at Vandenberg Air Force Base, California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Kim Shiflett

  4. KSC-2014-2833

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – Workers hoist the lid off the transportation trailer containing the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, in the Building 836 high bay on Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  5. KSC-2015-1227

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at the Space Launch Complex 2 at Vandenberg Air Force Base, California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Kim Shiflett

  6. KSC-2015-1224

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at the Space Launch Complex 2 at Vandenberg Air Force Base, California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Kim Shiflett

  7. KSC-2014-2837

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – Workers prepare to lift the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, from a transportation trailer in the Building 836 high bay on Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  8. KSC-2014-2836

    NASA Image and Video Library

    2014-06-03

    VANDENBERG AIR FORCE BASE, Calif. – The lid is removed from the transportation trailer containing the fairing for NASA's Soil Moisture Active Passive mission, or SMAP, in the Building 836 high bay on Vandenberg Air Force Base in California. The fairing will protect the SMAP spacecraft from the heat and aerodynamic pressure generated during its ascent to orbit aboard a United Launch Alliance Delta II rocket from Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data will also be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  9. KSC-2015-1238

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Randy Beaudoin

  10. KSC-2015-1233

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Randy Beaudoin

  11. KSC-2015-1237

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Randy Beaudoin

  12. KSC-2015-1229

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – The launch gantry is rolled back to reveal the United Launch Alliance Delta II rocket with the Soil Moisture Active Passive, or SMAP, satellite aboard, at the Space Launch Complex 2 at Vandenberg Air Force Base, California. SMAP is a remote sensing mission designed to measure and map the Earth's soil moisture distribution and freeze/thaw stat with unprecedented accuracy, resolution and coverage. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Kim Shiflett

  13. KSC-2014-4454

    NASA Image and Video Library

    2014-11-07

    VANDENBERG AIR FORCE BASE, Calif. – Operations are underway to weigh NASA's Soil Moisture Active Passive, or SMAP, spacecraft in the clean room of the Astrotech payload processing facility on Vandenberg Air Force Base in California. The weighing of a spacecraft is standard procedure during prelaunch processing. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. NASA's Jet Propulsion Laboratory that built the observatory and its radar instrument also is responsible for SMAP project management and mission operations. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  14. KSC-2014-4452

    NASA Image and Video Library

    2014-11-07

    VANDENBERG AIR FORCE BASE, Calif. – Preparations are underway to weigh NASA's Soil Moisture Active Passive, or SMAP, spacecraft in the clean room of the Astrotech payload processing facility on Vandenberg Air Force Base in California. The weighing of a spacecraft is standard procedure during prelaunch processing. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. NASA's Jet Propulsion Laboratory that built the observatory and its radar instrument also is responsible for SMAP project management and mission operations. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  15. KSC-2014-4456

    NASA Image and Video Library

    2014-11-07

    VANDENBERG AIR FORCE BASE, Calif. – Operations are underway to weigh NASA's Soil Moisture Active Passive, or SMAP, spacecraft in the clean room of the Astrotech payload processing facility on Vandenberg Air Force Base in California. The weighing of a spacecraft is standard procedure during prelaunch processing. SMAP will launch on a Delta II 7320 configuration vehicle featuring a United Launch Alliance first stage booster powered by an Aerojet Rocketdyne RS-27A main engine and three Alliant Techsystems, or ATK, strap-on solid rocket motors. Once on station in Earth orbit, SMAP will provide global measurements of soil moisture and its freeze/thaw state. NASA's Jet Propulsion Laboratory that built the observatory and its radar instrument also is responsible for SMAP project management and mission operations. Launch from Space Launch Complex 2 is targeted for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  16. Passive Microwave Remote Sensing for Land Applications

    USDA-ARS?s Scientific Manuscript database

    Land applications, in particular soil moisture retrieval, have been hampered by the lack of low frequency passive microwave observations and the coarse spatial resolution of existing sensors. The next decade could see several improved operational and exploratory missions using new technologies as w...

  17. Passive solar technology

    SciTech Connect

    Watson, D

    1981-04-01

    The present status of passive solar technology is summarized, including passive solar heating, cooling and daylighting. The key roles of the passive solar system designer and of innovation in the building industry are described. After definitions of passive design and a summary of passive design principles are given, performance and costs of passive solar technology are discussed. Passive energy design concepts or methods are then considered in the context of the overall process by which building decisions are made to achieve the integration of new techniques into conventional design. (LEW).

  18. Passive cryocooler for microsatellite payload

    NASA Astrophysics Data System (ADS)

    Mullins, Mayes; Thomas, Paul J.; Harron, John W.; Duggan, Philip; Sinclair, Peter M.; Khanna, Shyam M.

    1998-11-01

    A passive cryocooler has been developed for the cooling of small payloads to temperatures as low as 145 K. Although designed for a specific electronics experiment on the STRV-1d microsatellite, the device is suitable for a wide range of applications. The cryocooler uses coated surfaces for tailored radiative cooling. Mechanical support between components is provided by fiberglass struts. The measured end temperature reached is 151 K in a liquid nitrogen dewar which extrapolates to an end temperature of lower than 145 K in space. Thermal vacuum testing and random vibration testing at levels consistent with an Ariane 5 launch have been performed as part of formal qualification for the STRV mission. In this paper, details of the design, analysis, fabrication and testing of the passive cryocooler are presented.

  19. IMP mission

    NASA Technical Reports Server (NTRS)

    1972-01-01

    The program requirements and operations requirements for the IMP mission are presented. The satellite configuration is described and the missions are analyzed. The support equipment, logistics, range facilities, and responsibilities of the launching organizations are defined. The systems for telemetry, communications, satellite tracking, and satellite control are identified.

  20. What do we learn about the impact of extreme hydrological events on tropical wetlands from the synergistic use of altimetry from Sentinel-3/SARAL-Altika and L-Band radiometry from SMOS/SMAP ?

    NASA Astrophysics Data System (ADS)

    Al Bitar, Ahmad; Parrens, Marie; Frappart, Frederic; Cauduro Dias de Paiva, Rodrigo; Papa, Fabrice; Kerr, Yann

    2017-04-01

    What do we learn about the impact of extreme hydrological events on tropical wetlands from the synergistic use of altimetry from Sentinel-3/SARAL-Altika and L-Band radiometry from SMOS/SMAP ? The question of the contribution of the tropical basins to the carbon and water cycle remains an open question in the science community. The tropical basins are highly impact by the wetlands dynamics but the also the link with extreme events like El-Nino are yet to be clarified. The main reason to this uncertainty is that the monitoring of inland water surfaces via remote sensing over tropical areas is a difficult task because of impact of vegetation and cloud cover. The most common solution is to use microwave remote sensing. In this study we combine the use of L-band microwave brightness temperatures and altimetric data from SARAL/ALTIKA and Sentinel-3 to derive water storage maps at relatively high (7days) temporal frequency. This study concerns the Amazon and Congo basin. The water fraction in inland are estimated by inversing a first order radiative model is used to derive surface water over land from the brightness temperature measured by ESA SMOS and SMAP mission at coarse resolution (25 km x 25 km) and 7-days frequency. The product is compared to the static land cover map such as ESA CCI and the International Geosphere-Biosphere Program (IGBP) and also dynamic maps from GIEMS and SWAPS products. Water storage is then obtained by combining the altimetric data from SARAL/ALTIKA and Sentinel-3 to the water surface fraction using an hypsometric approach. The water surfaces and water storage products are then compared to precipitation data from GPM TRMM datasets and river discharge data from field data. The amplitudes and time shifts of the signals is compared based on the sub-basin definition from Hydroshed database. The dataset is then divided into years of strong and weak El-Nino signal and the anomaly is between the two dataset is compared. The results show a strong

  1. Rare genetic variants in SMAP1, B3GAT2, and RIMS1 contribute to pediatric venous thromboembolism.

    PubMed

    Rühle, Frank; Witten, Anika; Barysenka, Andrei; Huge, Andreas; Arning, Astrid; Heller, Christine; Krümpel, Anne; Mesters, Rolf; Franke, Andre; Lieb, Wolfgang; Riemenschneider, Mona; Hiersche, Milan; Limperger, Verena; Nowak-Göttl, Ulrike; Stoll, Monika

    2017-02-09

    Recent genome-wide association studies (GWAS) have confirmed known risk mutations for venous thromboembolism (VTE) and identified a number of novel susceptibility loci in adults. Here we present a GWAS in 212 nuclear families with pediatric VTE followed by targeted next-generation sequencing (NGS) to identify causative mutations contributing to the association. Three single nucleotide polymorphisms (SNPs) exceeded the threshold for genome-wide significance as determined by permutation testing using 100 000 bootstrap permutations (P < 10(-5)). These SNPs reside in a region on chromosome 6q13 comprising the genes small ARF GAP1 (SMAP1), an ARF6 guanosine triphosphatase-activating protein that functions in clathrin-dependent endocytosis, and β-1,3-glucoronyltransferase 2 (B3GAT2), a member of the human natural killer 1 carbohydrate pathway. Rs1304029 and rs2748331 are associated with pediatric VTE with unpermuted/permuted values of P = 1.42 × 10(-6)/2.0 × 10(-6) and P = 6.11 × 10(-6)/1.8 × 10(-5), respectively. Rs2748331 was replicated (P = .00719) in an independent study sample coming from our GWAS on pediatric thromboembolic stroke (combined P = 7.88 × 10(-7)). Subsequent targeted NGS in 24 discordant sibling pairs identified 17 nonsynonymous coding variants, of which 1 located in SMAP1 and 3 in RIMS1, a member of the RIM family of active zone proteins, are predicted as damaging by Protein Variation Effect Analyzer and/or sorting intolerant from tolerant scores. Three SNPs curtly missed statistical significance in the transmission-disequilibrium test in the full cohort (rs112439957: P = .08326, SMAP1; rs767118962: P = .08326, RIMS1; and rs41265501: P = .05778, RIMS1). In conjunction, our data provide compelling evidence for SMAP1, B3GAT2, and RIMS1 as novel susceptibility loci for pediatric VTE and warrant future functional studies to unravel the underlying molecular mechanisms leading to VTE. © 2017 by The American Society of Hematology.

  2. Fundamental studies on passivity and passivity breakdown

    SciTech Connect

    Macdonald, D.D.; Urquidi-Macdonald, M.

    1993-06-01

    Using photoelectrochemical impedance and admittance spectroscopies, a fundamental and quantitative understanding of the mechanisms for the growth and breakdown of passive films on metal and alloy surfaces in contact with aqueous environments is being developed. A point defect model has been extended to explain the breakdown of passive films, leading to pitting and crack growth and thus development of damage due to localized corrosion.

  3. Mission scheduling

    NASA Technical Reports Server (NTRS)

    Gaspin, Christine

    1989-01-01

    How a neural network can work, compared to a hybrid system based on an operations research and artificial intelligence approach, is investigated through a mission scheduling problem. The characteristic features of each system are discussed.

  4. Geospace Missions

    NASA Technical Reports Server (NTRS)

    Spann, James

    2005-01-01

    Geospace Missions - Understanding and being able to predict the behavior of the Earth's near space environment, called Geospace, is important for several reasons. These include the fact that most of the space-based commercial, military, and space research assets are exposed to this environment and that investigating fundamental plasma processes at work through out the solar system can most readily be accomplished in Geospace, the only place we can access the processes. NASA missions that are directed toward understanding, characterizing, and predicting the Geospace environment are described in this presentation. Emphasis is placed on those missions that investigate those phenomena that most affect life and society. The significance of investigating ionospheric irregularities, the radiation belt dynamics with the LWS Geospace Mission will be discussed.

  5. Passive storage technologies

    NASA Technical Reports Server (NTRS)

    Kittel, P.

    1984-01-01

    Advances in storage technology and how passive techniques could be applied to the storage of propellants at the space station are described. The devices considered are passive orbital disconnect struts, cooled shield optimization, liftweight shields and catalytic converters.

  6. Tropospheric Passive Remote Sensing

    NASA Technical Reports Server (NTRS)

    Keafer, L. S., Jr. (Editor)

    1982-01-01

    The long term role of airborne/spaceborne passive remote sensing systems for tropospheric air quality research and the identification of technology advances required to improve the performance of passive remote sensing systems were discussed.

  7. Evaluation of the SMAP model calculated snow albedo at the SIGMA-A site, northwest Greenland, during the 2012 record surface melt event

    NASA Astrophysics Data System (ADS)

    Niwano, M.; Aoki, T.; Matoba, S.; Yamaguchi, S.; Tanikawa, T.; Kuchiki, K.; Motoyama, H.

    2015-12-01

    The snow and ice on the Greenland ice sheet (GrIS) experienced the extreme surface melt around 12 July, 2012. In order to understand the snow-atmosphere interaction during the period, we applied a physical snowpack model SMAP to the GrIS snowpack. In the SMAP model, the snow albedo is calculated by the PBSAM component explicitly considering effects of snow grain size and light-absorbing snow impurities such as black carbon and dust. Temporal evolution of snow grain size is calculated internally in the SMAP model, whereas mass concentrations of snow impurities are externally given from observations. In the PBSAM, the (shortwave) snow albedo is calculated from a weighted summation of visible albedo (primarily affected by snow impurities) and near-infrared albedo (mainly controlled by snow grain size). The weights for these albedos are the visible and near-infrared fractions of the downward shortwave radiant flux. The SMAP model forced by meteorological data obtained from an automated weather station at SIGMA-A site, northwest GrIS during 30 June to 14 July, 2012 (IOP) was evaluated in terms of surface (optically equivalent) snow grain size and snow albedo. Snow grain size simulated by the model was compared against that retrieved from in-situ spectral albedo measurements. Although the RMSE and ME were reasonable (0.21 mm and 0.17 mm, respectively), the small snow grain size associated with the surface hoar could not be simulated by the SMAP model. As for snow albedo, simulation results agreed well with observations throughout the IOP (RMSE was 0.022 and ME was 0.008). Under cloudy-sky conditions, the SMAP model reproduced observed rapid increase in the snow albedo. When cloud cover is present the near-infrared fraction of the downward shortwave radiant flux is decreased, while it is increased under clear-sky conditions. Therefore, the above mentioned performance of the SMAP model can be attributed to the PBSAM component driven by the observed near-infrared and

  8. Passive/Active Microwave Soil Moisture Disaggregation Using SMAPVEX12 Data

    NASA Astrophysics Data System (ADS)

    Fang, B.; Lakshmi, V.; Bindlish, R.; Jackson, T. J.; Colliander, A.

    2015-12-01

    The SMAPVEX12 experiment was conducted during June-July 2012 in Manitoba, Canada with the goal of collecting remote sensing data and ground measurements for the development and testing of soil moisture retrieval algorithms under different vegetation and soil conditions for the SMAP (Soil Moisture Active Passive) satellite launched in January 2015. The aircraft based soil moisture data provided by the passive/active microwave sensor PALS (Passive and Active L and S band System) has a nominal spatial resolution of 1500 m. In this study, a change detection algorithm is used for disaggregation of coarse passive microwave soil moisture retrievals with radar backscatter coefficients obtained with the higher spatial resolution UAVSAR (Unmanned Air Vehicle Synthetic Aperture Radar). The accuracy of the disaggregated change in soil moisture was evaluated using ground based soil moisture measurements. Results show that the disaggregation products are well correlated to in situ measurements. Based on the R2, the highest resolution disaggregated product at 5 m exhibits soil moisture heterogeneity that reflects the distribution of the crops. The difference of spatial standard deviation between the disaggregated and in situ soil moisture ranges from <0.001-0.131 m3/m3 also proves the spatial capability of the change detection algorithm at 5 m scale.

  9. Detecting near-surface soil Freeze/thaw cycle using Passive Microwave Satellite Remote Sensing Data over China

    NASA Astrophysics Data System (ADS)

    Jin, R.; Zhang, T.; Li, X.; Yang, X.

    2008-12-01

    The near-surface soil freeze/thaw status has significant impact on the energy, water, and carbon exchange between the land and the atmosphere, surface runoff, plant growth, and ecosystem as a whole. The daily monitoring of the region-scale and long-time series of the near-surface soil surface freeze/thaw state are becoming possible with the launch of SMMR (1978~1987), SSM/I (1987~present) and AMSR-E (2002~present). Furthermore, the proposed SMAP (Soil Moisture Active and Passive) mission specifically designed for monitoring surface soil moisture and freeze/thaw state. This paper investigates changes in the near-surface soil freeze/thaw status over the past 31 years (from Jul. 1987 to Mar. 2008) over China. First we validate the existing frozen soil algorithm using 37GHz vertical-polarization brightness temperature and spectral gradient (SG) between 37GHz and 18/19GHz brightness temperature. We further consider the effect of dominant land use types (cropland, forest land, grassland and barren land) on the near-surface soil freeze/thaw classification. The sample clusters representing the frozen and thawed status for each land use type were taken according to the ground surface temperature at the time of radiometer over-passing. Then, the mean value and the standard deviation from their means of 37GHz brightness temperature and SG for SMMR and for SSM/I for each cluster were calculated. The thresholds are determined by the median of the overlap region of the mean 1.64 std (represents the 90% percent of the samples in the cluster) of the frozen and thawed clusters for each land use type. The result of the surface freeze/thaw status classification combined with the in-situ soil temperature and air temperature observations can be used to analyze the seasonally and inter-annual changes in timing and duration, frequency, and areal extent of the near-surface soil frozen/thawed cycle, and to understand how soil responds to the climate warming. The classification result in

  10. Mission Possible

    ERIC Educational Resources Information Center

    Kittle, Penny, Ed.

    2009-01-01

    As teachers, our most important mission is to turn our students into readers. It sounds so simple, but it's hard work, and we're all on a deadline. Kittle describes a class in which her own expectations that students would become readers combined with a few impassioned strategies succeeded ... at least with a young man named Alan.

  11. High spatial resolution passive microwave sounding systems

    NASA Technical Reports Server (NTRS)

    Staelin, D. H.; Rosenkranz, P. W.; Bonanni, P. G.; Gasiewski, A. W.

    1986-01-01

    Two extensive series of flights aboard the ER-2 aircraft were conducted with the MIT 118 GHz imaging spectrometer together with a 53.6 GHz nadir channel and a TV camera record of the mission. Other microwave sensors, including a 183 GHz imaging spectrometer were flown simultaneously by other research groups. Work also continued on evaluating the impact of high-resolution passive microwave soundings upon numerical weather prediction models.

  12. ICESCAPE Mission

    NASA Image and Video Library

    2010-07-08

    Dartmouth College's Chris Polashenski cuts a block of ice from below a melt pond on sea ice in the Chukchi Sea on July 9, 2010, for analysis upon return from the mission. The research is part of NASA's ICESCAPE mission onboard the U.S. Coast Guard icebreaker Healy to sample the physical, chemical and biological characteristics of the ocean and sea ice. Impacts of Climate change on the Eco-Systems and Chemistry of the Arctic Pacific Environment (ICESCAPE) is a multi-year NASA shipborne project. The bulk of the research will take place in the Beaufort and Chukchi Sea’s in summer of 2010 and fall of 2011. Photo Credit: (NASA/Kathryn Hansen)

  13. SEQUOIA mission

    NASA Astrophysics Data System (ADS)

    Welsh, Barry Y.; Carone, Timothy; Siegmund, Oswald H.; Jelinsky, Patrick N.; Polidan, Ronald S.

    1995-06-01

    We describe a mission concept for the SEQUOIA instrument, which would carry out the first wide-field, far ultraviolet, photometric all-sky survey. SEQUOIA will image the astronomical sky in the 912-1050 angstrom spectral region to a limiting magnitude of 19.5(superscript m) over a one degree field of view with a spatial resolution of less than 30 arc seconds. This mission was proposed to the USRA STEDI program in late 1994, and has been designed as a low cost, fast-track program for launch within 3 years. The spacecraft bus is being provided by Orbital Sciences Corporation (Dulles) and since the entire payload weighs less than 100kg, it can be launched using either a Minuteman or Pegasus rocket.

  14. KSC-2015-1205

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – Jared Entin, program scientist for NASA's Soil Moisture Active Passive mission, or SMAP, discusses the science and engineering of the mission with the audience of a NASA Social held at Vandenberg Air Force Base in California. This NASA Social brought together mission scientists and engineers with an audience of 70 students, educators, social media managers, bloggers, photographers and videographers who were selected from a pool of 325 applicants from 45 countries to participate in launch activities and communicate their experience with social media followers. The SMAP mission is scheduled to launch from Vandenberg on Jan. 29. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  15. KSC-2015-1217

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – Wendy Edelstein, instrument manager for NASA's Soil Moisture Active Passive mission, or SMAP, discusses the science and engineering of the mission with the audience of a NASA Social held at Vandenberg Air Force Base in California. This NASA Social brought together mission scientists and engineers with an audience of 70 students, educators, social media managers, bloggers, photographers and videographers who were selected from a pool of 325 applicants from 45 countries to participate in launch activities and communicate their experience with social media followers. The SMAP mission is scheduled to launch from Vandenberg on Jan. 29. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  16. KSC-2015-1204

    NASA Image and Video Library

    2015-01-28

    VANDENBERG AIR FORCE BASE, Calif. – Jared Entin, program scientist for NASA's Soil Moisture Active Passive mission, or SMAP, discusses the science and engineering of the mission with the audience of a NASA Social held at Vandenberg Air Force Base in California. This NASA Social brought together mission scientists and engineers with an audience of 70 students, educators, social media managers, bloggers, photographers and videographers who were selected from a pool of 325 applicants from 45 countries to participate in launch activities and communicate their experience with social media followers. The SMAP mission is scheduled to launch from Vandenberg on Jan. 29. To learn more about SMAP, visit http://www.nasa.gov/smap. Photo credit: NASA/Kim Shiflett

  17. The Global Precipitation Mission

    NASA Technical Reports Server (NTRS)

    Braun, Scott; Kummerow, Christian

    2000-01-01

    The Global Precipitation Mission (GPM), expected to begin around 2006, is a follow-up to the Tropical Rainfall Measuring Mission (TRMM). Unlike TRMM, which primarily samples the tropics, GPM will sample both the tropics and mid-latitudes. The primary, or core, satellite will be a single, enhanced TRMM satellite that can quantify the 3-D spatial distributions of precipitation and its associated latent heat release. The core satellite will be complemented by a constellation of very small and inexpensive drones with passive microwave instruments that will sample the rainfall with sufficient frequency to be not only of climate interest, but also have local, short-term impacts by providing global rainfall coverage at approx. 3 h intervals. The data is expected to have substantial impact upon quantitative precipitation estimation/forecasting and data assimilation into global and mesoscale numerical models. Based upon previous studies of rainfall data assimilation, GPM is expected to lead to significant improvements in forecasts of extratropical and tropical cyclones. For example, GPM rainfall data can provide improved initialization of frontal systems over the Pacific and Atlantic Oceans. The purpose of this talk is to provide information about GPM to the USWRP (U.S. Weather Research Program) community and to discuss impacts on quantitative precipitation estimation/forecasting and data assimilation.

  18. The Global Precipitation Mission

    NASA Technical Reports Server (NTRS)

    Braun, Scott; Kummerow, Christian

    2000-01-01

    The Global Precipitation Mission (GPM), expected to begin around 2006, is a follow-up to the Tropical Rainfall Measuring Mission (TRMM). Unlike TRMM, which primarily samples the tropics, GPM will sample both the tropics and mid-latitudes. The primary, or core, satellite will be a single, enhanced TRMM satellite that can quantify the 3-D spatial distributions of precipitation and its associated latent heat release. The core satellite will be complemented by a constellation of very small and inexpensive drones with passive microwave instruments that will sample the rainfall with sufficient frequency to be not only of climate interest, but also have local, short-term impacts by providing global rainfall coverage at approx. 3 h intervals. The data is expected to have substantial impact upon quantitative precipitation estimation/forecasting and data assimilation into global and mesoscale numerical models. Based upon previous studies of rainfall data assimilation, GPM is expected to lead to significant improvements in forecasts of extratropical and tropical cyclones. For example, GPM rainfall data can provide improved initialization of frontal systems over the Pacific and Atlantic Oceans. The purpose of this talk is to provide information about GPM to the USWRP (U.S. Weather Research Program) community and to discuss impacts on quantitative precipitation estimation/forecasting and data assimilation.

  19. Passive magnetic bearing configurations

    DOEpatents

    Post, Richard F [Walnut Creek, CA

    2011-01-25

    A journal bearing provides vertical and radial stability to a rotor of a passive magnetic bearing system when the rotor is not rotating and when it is rotating. In the passive magnetic bearing system, the rotor has a vertical axis of rotation. Without the journal bearing, the rotor is vertically and radially unstable when stationary, and is vertically stable and radially unstable when rotating.

  20. LASL passive program

    SciTech Connect

    Neeper, D.A.

    1980-01-01

    Recent accomplishments are outlined on the following tasks: (1) solar load ratio for sunspaces; (2) thermal performance of components and buildings; (3) convective loop test; (4) similarity study of interzone convection; (5) evaluation of phase-change thermal storage; (6) off-peak electrical auxiliary heating; (7) passive solar design handbook; (8) program support to DOE; and (9) passive cooling for residences. (WHK)

  1. Advanced Soil Moisture Network Technologies; Developments in Collecting in situ Measurements for Remote Sensing Missions

    NASA Astrophysics Data System (ADS)

    Moghaddam, M.; Silva, A. R. D.; Akbar, R.; Clewley, D.

    2015-12-01

    The Soil moisture Sensing Controller And oPtimal Estimator (SoilSCAPE) wireless sensor network has been developed to support Calibration and Validation activities (Cal/Val) for large scale soil moisture remote sensing missions (SMAP and AirMOSS). The technology developed here also readily supports small scale hydrological studies by providing sub-kilometer widespread soil moisture observations. An extensive collection of semi-sparse sensor clusters deployed throughout north-central California and southern Arizona provide near real time soil moisture measurements. Such a wireless network architecture, compared to conventional single points measurement profiles, allows for significant and expanded soil moisture sampling. The work presented here aims at discussing and highlighting novel and new technology developments which increase in situ soil moisture measurements' accuracy, reliability, and robustness with reduced data delivery latency. High efficiency and low maintenance custom hardware have been developed and in-field performance has been demonstrated for a period of three years. The SoilSCAPE technology incorporates (a) intelligent sensing to prevent erroneous measurement reporting, (b) on-board short term memory for data redundancy, (c) adaptive scheduling and sampling capabilities to enhance energy efficiency. A rapid streamlined data delivery architecture openly provides distribution of in situ measurements to SMAP and AirMOSS cal/val activities and other interested parties.

  2. KSC-2014-3276

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of a United Launch Alliance Delta II rocket arrives at NASA hangar 836 on Vandenberg Air Force Base in California. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  3. KSC-2014-3277

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – Technicians prepare to offload the first stage of a United Launch Alliance Delta II rocket following its arrival at NASA hangar 836 on Vandenberg Air Force Base in California. The launch vehicle will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  4. KSC-2014-3161

    NASA Image and Video Library

    2014-07-14

    VANDENBERG AIR FORCE BASE, Calif. – The transportation trailer carrying the second stage, or upper stage, of a United Launch Alliance Delta II rocket backs into the Building 836 hangar on south Vandenberg Air Force Base in California. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit from Vandenberg's Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  5. KSC-2014-3282

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – Technicians assist in offloading the first stage of a United Launch Alliance Delta II rocket following its arrival at NASA hangar 836 on Vandenberg Air Force Base in California. The launch vehicle will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  6. KSC-2014-3163

    NASA Image and Video Library

    2014-07-14

    VANDENBERG AIR FORCE BASE, Calif. – Preparations are underway to lift the second stage, or upper stage, of a United Launch Alliance Delta II rocket from its transportation trailer in the Building 836 hangar on south Vandenberg Air Force Base in California. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit from Vandenberg's Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  7. KSC-2014-3179

    NASA Image and Video Library

    2014-07-14

    VANDENBERG AIR FORCE BASE, Calif. – The second stage, or upper stage, of a United Launch Alliance Delta II rocket is on its way from Building 836 on south Vandenberg Air Force Base in California to the Horizontal Processing Facility at Space Launch Complex 2. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  8. KSC-2014-3186

    NASA Image and Video Library

    2014-07-14

    VANDENBERG AIR FORCE BASE, Calif. – The second stage, or upper stage, of a United Launch Alliance Delta II rocket arrives at the Horizontal Processing Facility near the mobile service tower at Space Launch Complex 2 on Vandenberg Air Force Base in California. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  9. KSC-2014-3184

    NASA Image and Video Library

    2014-07-14

    VANDENBERG AIR FORCE BASE, Calif. – The second stage, or upper stage, of a United Launch Alliance Delta II rocket arrives at Space Launch Complex 2 on Vandenberg Air Force Base in California where it will undergo preparations for launch in the Horizontal Processing Facility. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  10. KSC-2015-1130

    NASA Image and Video Library

    2015-01-13

    VANDENBERG AIR FORCE BASE, Calif. – At Vandenberg Air Force Base in California, NASA's Soil Moisture Active Passive mission, or SMAP, satellite is mated to its Delta II rocket at Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  11. KSC-2014-3280

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – A crane is used to offload the first stage of a United Launch Alliance Delta II rocket following its arrival at NASA hangar 836 on Vandenberg Air Force Base in California. The launch vehicle will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  12. KSC-2014-3289

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, crosses a railroad bridge on its move from the Building 836 hangar to the Horizontal Processing Facility at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  13. KSC-2014-3283

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, begins its journey from the Building 836 hangar to the Horizontal Processing Facility at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  14. KSC-2014-3325

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, makes its way along the roadways on Vandenberg Air Force Base in California from the Building 836 hangar to the Horizontal Processing Facility at Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/U.S. Air Force 30th Space Wing

  15. KSC-2014-3279

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – A crane is used to offload the first stage of a United Launch Alliance Delta II rocket following its arrival at NASA hangar 836 on Vandenberg Air Force Base in California. The launch vehicle will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  16. KSC-2015-1120

    NASA Image and Video Library

    2015-01-13

    VANDENBERG AIR FORCE BASE, Calif. – At Vandenberg Air Force Base in California, NASA's Soil Moisture Active Passive mission, or SMAP, satellite is prepared for lifting at Space Launch Complex 2 for mating to its Delta II rocket. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  17. KSC-2014-3275

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of a United Launch Alliance Delta II rocket arrives at NASA hangar 836 on Vandenberg Air Force Base in California. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  18. KSC-2014-3579

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – Workers steady the first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, after it is lifted into a vertical position alongside the mobile service tower at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Tony Vauccin, USAF

  19. KSC-2014-3358

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – A crane hoists the first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, into a vertical position beside the mobile service tower at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  20. KSC-2014-3577

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – A crane hoists the first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, into a vertical position alongside the mobile service tower at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Tony Vauccin, USAF

  1. KSC-2015-1127

    NASA Image and Video Library

    2015-01-13

    VANDENBERG AIR FORCE BASE, Calif. – At Vandenberg Air Force Base in California, NASA's Soil Moisture Active Passive mission, or SMAP, satellite is lifted at Space Launch Complex 2 for mating to its Delta II rocket. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  2. KSC-2015-1124

    NASA Image and Video Library

    2015-01-13

    VANDENBERG AIR FORCE BASE, Calif. – At Vandenberg Air Force Base in California, NASA's Soil Moisture Active Passive mission, or SMAP, satellite is lifted at Space Launch Complex 2 for mating to its Delta II rocket. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  3. KSC-2014-3185

    NASA Image and Video Library

    2014-07-14

    VANDENBERG AIR FORCE BASE, Calif. – The second stage, or upper stage, of a United Launch Alliance Delta II rocket arrives at the Horizontal Processing Facility at Space Launch Complex 2 on Vandenberg Air Force Base in California. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  4. KSC-2014-3353

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – The mobile service tower at Space Launch Complex 2 on Vandenberg Air Force Base in California is rolled back in preparation for the arrival of the first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  5. KSC-2014-3288

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – The U.S. Air Force 30th Security Forces Squadron is responsible for the safety of the first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, on its move from the Building 836 hangar to the Horizontal Processing Facility at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  6. KSC-2014-3357

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, is hoisted into a vertical position for its move into the mobile service tower at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  7. KSC-2014-3178

    NASA Image and Video Library

    2014-07-14

    VANDENBERG AIR FORCE BASE, Calif. – The second stage, or upper stage, of a United Launch Alliance Delta II rocket begins its journey from Building 836 on south Vandenberg Air Force Base in California to the Horizontal Processing Facility at Space Launch Complex 2. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  8. KSC-2015-1119

    NASA Image and Video Library

    2015-01-13

    VANDENBERG AIR FORCE BASE, Calif. – At Vandenberg Air Force Base in California, NASA's Soil Moisture Active Passive mission, or SMAP, satellite is prepared for lifting at Space Launch Complex 2 for mating to its Delta II rocket. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  9. KSC-2014-3350

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – Preparations are underway at Space Launch Complex 2 on Vandenberg Air Force Base in California for the arrival of the first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  10. KSC-2015-1112

    NASA Image and Video Library

    2015-01-08

    VANDENBERG AIR FORCE BASE, Calif. – Inside the Astrotech payload processing facility at Vandenberg Air Force Base in California, engineers and technicians place a protective cover over NASA's Soil Moisture Active Passive mission, or SMAP, satellite prior the spacecraft being transported to the launch pad. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: Jeremy Moore, USAF Photo Squadron

  11. KSC-2014-3285

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, makes its way along the roadways on Vandenberg Air Force Base in California from the Building 836 hangar to the Horizontal Processing Facility at Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  12. KSC-2014-3360

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – A crane transfers the first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, into the mobile service tower at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  13. KSC-2014-3284

    NASA Image and Video Library

    2014-07-23

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, is transported from the Building 836 hangar to the Horizontal Processing Facility at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  14. KSC-2015-1129

    NASA Image and Video Library

    2015-01-13

    VANDENBERG AIR FORCE BASE, Calif. – At Vandenberg Air Force Base in California, NASA's Soil Moisture Active Passive mission, or SMAP, satellite is mated to its Delta II rocket at Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  15. KSC-2014-3578

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, is hoisted into a vertical position for its transfer into the mobile service tower at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Tony Vauccin, USAF

  16. KSC-2014-3362

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – This view from the exhaust duct beneath Space Launch Complex 2 on Vandenberg Air Force Base in California reveals the first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, undergoing processing in the mobile service tower. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  17. KSC-2014-3160

    NASA Image and Video Library

    2014-07-14

    VANDENBERG AIR FORCE BASE, Calif. – The second stage, or upper stage, of a United Launch Alliance Delta II rocket arrives at the Building 836 hangar on south Vandenberg Air Force Base in California. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit from Vandenberg's Space Launch Complex 2. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  18. KSC-2014-3181

    NASA Image and Video Library

    2014-07-14

    VANDENBERG AIR FORCE BASE, Calif. – A security detail accompanies the second stage, or upper stage, of a United Launch Alliance Delta II rocket on its move from Building 836 to the Horizontal Processing Facility at Space Launch Complex 2 on Vandenberg Air Force Base in California. The Delta II rocket will be used to deliver NASA's Soil Moisture Active Passive mission, or SMAP, into orbit. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin

  19. KSC-2015-1126

    NASA Image and Video Library

    2015-01-13

    VANDENBERG AIR FORCE BASE, Calif. – At Vandenberg Air Force Base in California, NASA's Soil Moisture Active Passive mission, or SMAP, satellite is lifted at Space Launch Complex 2 for mating to its Delta II rocket. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for Jan. 29, 2015. To learn more about SMAP, visit http://smap.jpl.nasa.gov Photo credit: NASA/Randy Beaudoin

  20. KSC-2014-3354

    NASA Image and Video Library

    2014-08-04

    VANDENBERG AIR FORCE BASE, Calif. – The first stage of the United Launch Alliance Delta II rocket for NASA's Soil Moisture Active Passive mission, or SMAP, is delivered to the base of the mobile service tower at Space Launch Complex 2 on Vandenberg Air Force Base in California. SMAP will provide global measurements of soil moisture and its freeze/thaw state. These measurements will be used to enhance understanding of processes that link the water, energy and carbon cycles, and to extend the capabilities of weather and climate prediction models. SMAP data also will be used to quantify net carbon flux in boreal landscapes and to develop improved flood prediction and drought monitoring capabilities. Launch is scheduled for November 2014. To learn more about SMAP, visit http://smap.jpl.nasa.gov. Photo credit: NASA/Randy Beaudoin