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Development and assessment of the SMAP enhanced passive soil moisture product

S.K. Chan, R. Bindlish, P. O'Neill, T. Jackson, E. Njoku, S. Dunbar, J. Chaubell, J. Piepmeier, S. Yueh, D. Entekhabi, A. Colliander, F. Chen (+21 others)
2018 Remote Sensing of Environment  
This article covers the development and assessment of the SMAP Level 2 Enhanced Passive Soil Moisture Product (L2_SM_P_E).  ...  Among these new data products are the SMAP Enhanced Passive Soil Moisture Product that was released in December 2016, followed by the SMAP/Sentinel-1 Active-Passive Soil Moisture Product in April 2017.  ...  2017. 27 28 This article covers the development and assessment of the SMAP Level 2 Enhanced 29 Passive Soil Moisture Product (L2_SM_P_E).  ... 
doi:10.1016/j.rse.2017.08.025 pmid:32943797 pmcid:PMC7493025 fatcat:oteov5sqjrfydmxifee2flu6by

Assessment of version 4 of the SMAP passive soil moisture standard product

P. O'Neill, S. Chan, R. Bindlish, T. Jackson, A. Colliander, S. Dunbar, F. Chen, J. Piepmeier, S. Yueh, D. Entekhabi, M. Cosh, T. Caldwell (+25 others)
2017 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
NASA's Soil Moisture Active Passive (SMAP) mission launched on January 31, 2015 into a sunsynchronous 6 am/6 pm orbit with an objective to produce global mapping of high-resolution soil moisture and freeze-thaw  ...  Accuracy of the soil moisture retrievals averaged over the core sites showed that SMAP accuracy requirements are being met.  ...  NASA's SMAP (Soil Moisture Active Passive) mission launched on January 31, 2015 with a goal of providing global mapping of soil moisture and freeze/thaw state every 2-3 days [1] .  ... 
doi:10.1109/igarss.2017.8127862 dblp:conf/igarss/ONeillCBJCDCPYE17 fatcat:lssbiwcvlva5poa7w24hnpmxre

HIGH-RESOLUTION ENHANCED PRODUCT BASED ON SMAP ACTIVE-PASSIVE APPROACH USING SENTINEL 1A AND 1B SAR DATA

N. N. Das, D. Entekhabi, S. Kim, T. Jagdhuber, S. Dunbar, S. Yueh, P. E. O'Neill, A. Colliander, J. Walker, T. J. Jackson
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Assessment of the SMAP and Sentinel active-passive algorithm has been conducted and results show feasibility of estimating surface soil moisture at high-resolution in regions with low vegetation density  ...  </strong> SMAP project released a new enhanced high-resolution (3km) soil moisture active-passive product.  ...  INTRODUCTION The SMAP active-passive soil moisture product (L2SMAP) [1] was discontinued on July 7 th , 2015 due to malfunction in the SMAP radar.  ... 
doi:10.5194/isprs-archives-xlii-5-203-2018 fatcat:3zoptz5yovamtl6ledftni6ezu

Evaluation of the validated Soil Moisture product from the SMAP radiometer

P. O'Neill, S. Chan, A. Colliander, S. Dunbar, E. Njoku, R. Bindlish, F. Chen, T. Jackson, M. Burgin, J. Piepmeier, S. Yueh, D. Entekhabi (+22 others)
2016 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
NASA's Soil Moisture Active Passive (SMAP) mission launched on January 31, 2015 into a sunsynchronous 6 am/6 pm orbit with an objective to produce global mapping of high-resolution soil moisture and freeze-thaw  ...  , 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.  ...  SMAP L2_SM_P SOIL MOISTURE PRODUCT The SMAP L2_SM_P product represents surface soil moisture in the top 0-5 cm soil layer.  ... 
doi:10.1109/igarss.2016.7729023 dblp:conf/igarss/ONeillCCDNBCJBP16 fatcat:sweledpu25cpldkayyo6df5jhm

Development and validation of the SMAP enhanced passive soil moisture product

S. Chan, R. Bindlish, P. O'Neill, T. Jackson, J. Chaubell, J. Piepmeier, S. Dunbar, A. Colliander, F. Chen, D. Entekhabi, S. Yueh, M. Cosh (+26 others)
2017 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
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  ...  This paper describes the development and validation of an enhanced version of the current standard soil moisture product.  ...  The resulting data enable the production of the standard SMAP Passive Soil Moisture Product (L2_SM_P) [2] that provides frequent global mapping of soil moisture with a retrieval uncertainty below 0.040  ... 
doi:10.1109/igarss.2017.8127512 dblp:conf/igarss/ChanBOJCPDCCEYC17 fatcat:ix5ozgwhzbbnrmqndlgwv2wwju

NASA Soil Moisture Active Passive mission status and science performance

Simon Yueh, Dara Entekhabi, Peggy O'Neill, Eni Njoku, Jared Entin
2016 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
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.  ...  The preliminary Cal/Val assessment has indicated excellent quality of the soil moisture and freeze/thaw products.  ... 
doi:10.1109/igarss.2016.7729020 dblp:conf/igarss/YuehEONE16 fatcat:ffe5hirjv5h6hgqyiolyqtyly4

Soil Moisture Mapping from Satellites: An Intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over Two Dense Network Regions at Different Spatial Scales

Chenyang Cui, Jia Xu, Jiangyuan Zeng, Kun-Shan Chen, Xiaojing Bai, Hui Lu, Quan Chen, Tianjie Zhao
2017 Remote Sensing  
This paper examines the performance of eight satellite-based soil moisture products, including the Soil Moisture Active Passive (SMAP) passive Level 3 (L3), the Soil Moisture and Ocean Salinity (SMOS)  ...  The results show that the SMAP passive soil moisture product outperformed the other products in the LWW network region, with an unbiased root mean square (ubRMSE) of 0.027 m 3 m −3 , whereas the FY3B soil  ...  Acknowledgments: The work was supported by the Open Research Fund of Key Laboratory of Digital Earth  ... 
doi:10.3390/rs10010033 fatcat:3yjatu233vh75ba7v4ogxjdlye

The SMAP mission combined active-passive soil moisture product at 9 km and 3 km spatial resolutions

Narendra N. Das, Dara Entekhabi, R. Scott Dunbar, Andreas Colliander, Fan Chen, Wade Crow, Thomas J. Jackson, Aaron Berg, David D. Bosch, Todd Caldwell, Michael H. Cosh, Chandra H. Collins (+10 others)
2018 Remote Sensing of Environment  
A B S T R A C T The NASA Soil Moisture Active Passive (SMAP) mission was launched on January 31st, 2015.  ...  However, before this occurred the mission was able to collect and process 2.5 months of the SMAP high-resolution active-passive soil moisture data (L2SMAP) that coincided with the Northern Hemisphere's  ...  Seungbum Kim from JPL for their constructive comments and help in developing some of the modules for the SMAP active-passive Science Software.  ... 
doi:10.1016/j.rse.2018.04.011 fatcat:mlncjbo4xffynirvjmfqiwe7qa

The Soil Moisture Active Passive (SMAP) applications activity

Molly E Brown, Susan Moran, Vanessa Escobar, Dara Entekhabi, Peggy O'Neill, Eni Njoku
2011 2011 IEEE International Geoscience and Remote Sensing Symposium  
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 measurements will allow global and high-resolution mapping of soil moisture and its freeze/thaw state at resolutions from 3-40 km.  ...  Eni Njoku and others at NASA Jet Propulsion Laboratory working on the SMAP team.  ... 
doi:10.1109/igarss.2011.6049670 dblp:conf/igarss/BrownMEEON11 fatcat:euef5c6dwzbbpilms55vck3kxq

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

Ming Pan, Xitian Cai, Nathaniel W. Chaney, Dara Entekhabi, Eric F. Wood
2016 Geophysical Research Letters  
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  ...  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.  ...  Acknowledgments The research was supported by the NASA grant NNX14AH92G "Soil Moisture Cal/Val Activities as a SMAP Mission Science Team Member" and NASA grant NNX13AI44G "Developing a statistical-physical  ... 
doi:10.1002/2016gl069964 fatcat:m4anpt26unaojgq5s3ubyna47i

Nasa soil moisture active passive mission status and science highlights

Simon Yueh, Dara Entekhabi, Peggy O'Neill, Jared Entin
2017 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
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 Soil Moisture Active Passive (SMAP) observatory was launched January 31, 2015, and its L-band radiometer and radar instruments became operational during April 2015.  ...  After radiometer enhancement processing the SMAP enhanced passive soil moisture is able to reveal finer spatial details of the variability of surface soil moisture.  ... 
doi:10.1109/igarss.2017.8127509 dblp:conf/igarss/YuehEOE17 fatcat:7r6hho5n6fccdkpplys6yasigm

Enhancing the USDA FAS Crop Forecasting System Using SMAP L3 Soil Moisture Observations

Iliana E. Mladenova, John D. Bolten, Wade Crow, Curt Reynolds
2018 IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium  
This paper focusses on the possibility of enhancing the USDA-FAS's RZSM estimates through the integration of passivebased soil moisture observations derived from the Soil Moisture Active Passive (SMAP)  ...  Therefore, accurate knowledge of the root-zone soil moisture (RZSM) is an essential for USDA-FAS global crop assessments.  ...  from the Soil Moisture Active Passive (SMAP) mission.  ... 
doi:10.1109/igarss.2018.8517561 dblp:conf/igarss/MladenovaBCR18 fatcat:pj5bfjz26zfzrccddzozaatxkm

High-Resolution Soil Moisture Retrieval using SMAP L-band Radiometer and RISAT-1 C-band SAR Data in the Paddy Dominated Tropical Region of India

Gurjeet Singh, Narendra Narayan Das, Rabindra Kumar Panda, Binayak Mohanty, Dara Entekhabi, Bimal Kumar Bhattacharya
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this study, we evaluated the capability of ingesting ISRO's Radar Imaging Satellite-1 (RISAT-1) C-band SAR observations in the SMAP active-passive algorithm to obtain soil moisture at 1, 3, and 9 km  ...  NASA's Soil Moisture Active Passive (SMAP) mission potential to produce high-resolution soil moisture suffered adversely due to its L-band synthetic-aperture radar (SAR) failure.  ...  to VWC, as revealed in the [14] and assessment report for the SMAP-Sentinel high-resolution soil moisture product [62] .  ... 
doi:10.1109/jstars.2021.3117273 fatcat:l46tlbxiebgqtfnoumqdvmpht4

Estimating Regional Scale Hydroclimatic Risk Conditions from the Soil Moisture Active-Passive (SMAP) Satellite

Catherine Champagne, Yinsuo Zhang, Patrick Cherneski, Trevor Hadwen
2018 Geosciences  
Satellite soil moisture data from the Soil Moisture Active/Passive (SMAP) mission was used to evaluate the sensitivity to hydroclimatic risk events in Canada.  ...  The SMAP soil moisture data sets in general capture relative moisture trends with the best estimates from the passive-only derived soil moisture and little difference between the data at different spatial  ...  Author Contributions: Catherine Champagne completed data processing and analysis of satellite soil moisture data, preparation of all figures and drafting of the manuscript.  ... 
doi:10.3390/geosciences8040127 fatcat:ckphnrochzaatme55b7v7xho5i

Validation Analysis of SMAP and AMSR2 Soil Moisture Products over the United States Using Ground-Based Measurements

Xuefei Zhang, Tingting Zhang, Ping Zhou, Yun Shao, Shan Gao
2017 Remote Sensing  
A primary challenge for the use of soil moisture products from passive sensors is their reliability.  ...  The evaluation results of SMAP and AMSR2 soil moisture products were compared. Moreover, the triple collocation (TC) error model was used to assess the error among AMSR2, SMAP and in situ data.  ...  The authors wish to thank JAXA, NSDIC, NRCS, NCDC and MRLC for making soil moisture data available online.  ... 
doi:10.3390/rs9020104 fatcat:nb2bcu72rnb2tfv2ur5k4srsj4
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