Journal ArticleDOI
Assessment of the SMAP Passive Soil Moisture Product
Steven Chan,Rajat Bindlish,Peggy O'Neill,Eni G. Njoku,Thomas J. Jackson,Andreas Colliander,Fan Chen,Mariko Burgin,Scott Dunbar,Jeffrey R. Piepmeier,Simon Yueh,Dara Entekhabi,Michael H. Cosh,Todd G. Caldwell,Jeffrey P. Walker,Xiaoling Wu,Aaron A. Berg,Tracy Rowlandson,A. Pacheco,Heather McNairn,M. Thibeault,José Martínez-Fernández,A. Gonzalez-Zamora,Mark S. Seyfried,David D. Bosch,Patrick J. Starks,David C. Goodrich,John H. Prueger,Michael A. Palecki,Eric E. Small,Marek Zreda,Jean-Christophe Calvet,Wade T. Crow,Yann Kerr +33 more
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TLDR
The Level 2 Passive Soil Moisture Product (L2_SM_P) as discussed by the authors was developed by the National Aeronautics and Space Administration (NASA) soil moisture active passive (SMAP) satellite mission and is available from the Distributed Active Archive Center at the National Snow and Ice Data Center.Abstract:
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 soil moisture product for SMAP. The product provides soil moisture estimates posted on a 36 km 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 m3/m3 unbiased root-mean-square difference (ubRMSD), which approaches the SMAP mission requirement of 0.040 m3/m3.read more
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Journal ArticleDOI
Validation of SMAP surface soil moisture products with core validation sites
Andreas Colliander,Thomas J. Jackson,Rajat Bindlish,S. Chan,Narendra N. Das,Seung-Bum Kim,Michael H. Cosh,R. S. Dunbar,Lenny Dang,L. Pashaian,Jun Asanuma,Kentaro Aida,Aaron A. Berg,Tracy Rowlandson,David D. Bosch,Todd G. Caldwell,Kelly K. Caylor,David C. Goodrich,H. K. Al Jassar,Ernesto Lopez-Baeza,José Martínez-Fernández,A. Gonzalez-Zamora,Stan Livingston,H. McNairn,A. Pacheco,Mahta Moghaddam,Carsten Montzka,Claudia Notarnicola,Georg Niedrist,Thierry Pellarin,John H. Prueger,Jouni Pulliainen,Kimmo Rautiainen,J. Ramos,Mark S. Seyfried,Patrick J. Starks,Zhongbo Su,Yijian Zeng,R. van der Velde,M. Thibeault,Wouter Dorigo,Mariette Vreugdenhil,Jeffrey P. Walker,Xiaoling Wu,Alessandra Monerris,Peggy O'Neill,Dara Entekhabi,Eni G. Njoku,Simon Yueh +48 more
TL;DR: 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 as mentioned in this paper.
Journal ArticleDOI
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
Jean-Pierre Wigneron,Thomas J. Jackson,Peggy O'Neill,G. De Lannoy,P. de Rosnay,Jeffrey P. Walker,Paolo Ferrazzoli,Valery Mironov,Simone Bircher,Jennifer Grant,Mehmet Kurum,Mike Schwank,Joaquín Muñoz-Sabater,Narendra N. Das,Alain Royer,Amen Al-Yaari,Ahmad Al Bitar,Roberto Fernandez-Moran,Heather Lawrence,Arnaud Mialon,Marie Parrens,P. Richaume,Steven Delwart,Yann Kerr +23 more
TL;DR: In this paper, the authors 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.
Journal ArticleDOI
The global distribution and dynamics of surface soil moisture
Kaighin A. McColl,Kaighin A. McColl,Seyed Hamed Alemohammad,Ruzbeh Akbar,Alexandra G. Konings,Alexandra G. Konings,Simon Yueh,Dara Entekhabi +7 more
TL;DR: In this article, the authors introduce a metric of soil moisture memory and use a full year of global observations from NASA's Soil Moisture Active Passive mission to show that surface soil moisture, a storage believed to make up less than 0.001% of the global freshwater budget by volume, and equivalent to an, on average, 8mm thin layer of water covering all land surfaces.
Journal ArticleDOI
Ground, Proximal, and Satellite Remote Sensing of Soil Moisture
Ebrahim Babaeian,Morteza Sadeghi,Scott B. Jones,Carsten Montzka,Harry Vereecken,Markus Tuller +5 more
TL;DR: Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous Earth and environmental science applications that directly impact the global environment and human society.
Journal ArticleDOI
Development and assessment of the SMAP enhanced passive soil moisture product
S. Chan,Rajat Bindlish,Peggy O'Neill,Thomas J. Jackson,E. Njoku,Scott Dunbar,Julian Chaubell,Jeffrey R. Piepmeier,Simon Yueh,Dara Entekhabi,Andreas Colliander,Fan Chen,Michael H. Cosh,Todd G. Caldwell,Jeffrey P. Walker,Aaron A. Berg,H. McNairn,M. Thibeault,José Martínez-Fernández,F. Uldall,Mark S. Seyfried,David D. Bosch,Patrick J. Starks,C. Holifield Collins,John H. Prueger,R. van der Velde,Jun Asanuma,Michael A. Palecki,Eric E. Small,Marek Zreda,Jean-Christophe Calvet,Wade T. Crow,Y. H. Kerr +32 more
TL;DR: This article covers the development and assessment of the SMAP Level 2 Enhanced Passive Soil Moisture Product (L2_SM_P_E) and affirmed that the Single Channel Algorithm using the V-polarized TB channel (SCA-V) delivered the best retrieval performance among the various algorithms implemented for L2-SM-P, a result similar to a previous assessment.
References
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Journal ArticleDOI
The SMOS Soil Moisture Retrieval Algorithm
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Journal ArticleDOI
A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index
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