Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements
In August 2020, soil moisture active passive (SMAP) released a new version of its soil moisture and vegetation optical depth (VOD) retrieval products. In this article, we review the methodology followed by the SMAP regularized dual-channel retrieval algorithm. We show that the new implementation gen...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9594667/ |
| _version_ | 1828056029829529600 |
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| author | Julian Chaubell Simon Yueh R. Scott Dunbar Andreas Colliander Dara Entekhabi Steven K. Chan Fan Chen Xiaolan Xu Rajat Bindlish Peggy O'Neill Jun Asanuma Aaron A. Berg David D. Bosch Todd Caldwell Michael H. Cosh Chandra Holifield Collins Karsten H. Jensen Jose Martinez-Fernandez Mark Seyfried Patrick J. Starks Zhongbo Su Marc Thibeault Jeffrey P. Walker |
| author_facet | Julian Chaubell Simon Yueh R. Scott Dunbar Andreas Colliander Dara Entekhabi Steven K. Chan Fan Chen Xiaolan Xu Rajat Bindlish Peggy O'Neill Jun Asanuma Aaron A. Berg David D. Bosch Todd Caldwell Michael H. Cosh Chandra Holifield Collins Karsten H. Jensen Jose Martinez-Fernandez Mark Seyfried Patrick J. Starks Zhongbo Su Marc Thibeault Jeffrey P. Walker |
| author_sort | Julian Chaubell |
| collection | DOAJ |
| description | In August 2020, soil moisture active passive (SMAP) released a new version of its soil moisture and vegetation optical depth (VOD) retrieval products. In this article, we review the methodology followed by the SMAP regularized dual-channel retrieval algorithm. We show that the new implementation generates SM retrievals that not only satisfy the SMAP accuracy requirements, but also show a performance comparable to the single-channel algorithm that uses the <italic>V</italic> polarized brightness temperature. Due to a lack of <italic>in situ</italic> measurements we cannot evaluate the accuracy of the VOD. In this article, we show analyses with the intention of providing an understanding of the VOD product. We compare the VOD results with those from SMOS. We also study the relation of the SMAP VOD with two vegetation parameters: tree height and biomass. |
| first_indexed | 2024-04-10T20:49:04Z |
| format | Article |
| id | doaj.art-5bd2c1ae9466438282067d08a025cb87 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-10T20:49:04Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-5bd2c1ae9466438282067d08a025cb872023-01-24T00:00:12ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352022-01-011510211410.1109/JSTARS.2021.31239329594667Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP MeasurementsJulian Chaubell0https://orcid.org/0000-0002-8067-6988Simon Yueh1https://orcid.org/0000-0001-7061-5295R. Scott Dunbar2Andreas Colliander3https://orcid.org/0000-0003-4093-8119Dara Entekhabi4https://orcid.org/0000-0002-8362-4761Steven K. Chan5Fan Chen6https://orcid.org/0000-0003-3257-9259Xiaolan Xu7https://orcid.org/0000-0003-4321-7931Rajat Bindlish8https://orcid.org/0000-0002-1913-0353Peggy O'Neill9Jun Asanuma10Aaron A. Berg11https://orcid.org/0000-0001-8438-5662David D. Bosch12https://orcid.org/0000-0001-9021-8705Todd Caldwell13https://orcid.org/0000-0003-4068-0648Michael H. Cosh14Chandra Holifield Collins15Karsten H. Jensen16Jose Martinez-Fernandez17Mark Seyfried18Patrick J. Starks19Zhongbo Su20Marc Thibeault21https://orcid.org/0000-0002-7191-4892Jeffrey P. Walker22https://orcid.org/0000-0002-4817-2712Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USAMassachusetts Institute of Technology, Cambridge, MA, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USASSAL Inc., Greenbelt, MD and USDA Agricultural Research Service, Beltsville, MD, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USAGoddard Space Flight Center, Greenbelt, MD, USAGoddard Space Flight Center, Greenbelt, MD, USACenter for Research in Isotopes and Environmental Dynamics, Tsukuba University, Tsukuba, JapanDepartment of Geography, Environment and Geomatics, University of Guelph, Guelph, ON, CanadaUSDA Agricultural Research Service Southeast Watershed Research Laboratory, Tifton, GA, USAUniversity of Texas at Austin, Bureau of Economic Geology, Austin, USAUSDA Agricultural Research Service Beltsville Agricultural Research Center, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USAUSDA Agricultural Research Service Southwest Watershed Research, Southwest Watershed Research Center, Tucson, AZ, USADepartment of Geosciences and Natural Resource Management, Copenhagen K, DenmarkInstituto de Investigacin en Agrobiotecnologa (CIALE), Universidad de Salamanca, Salamanca, SpainUSDA Agricultural Research Service Northwest Watershed Research Center, Boise, ID, USAUSDA Agricultural Research Service Great Plains Agroclimate and Natural Resources Research Unit, El Reno, OK, USAITC Faculty, University of Twente, Enschede, The NetherlandsComisión Nacional de Actividades Espaciales, Buenos Aires, ArgentinaMonash University, Melbourne, VIC, AustraliaIn August 2020, soil moisture active passive (SMAP) released a new version of its soil moisture and vegetation optical depth (VOD) retrieval products. In this article, we review the methodology followed by the SMAP regularized dual-channel retrieval algorithm. We show that the new implementation generates SM retrievals that not only satisfy the SMAP accuracy requirements, but also show a performance comparable to the single-channel algorithm that uses the <italic>V</italic> polarized brightness temperature. Due to a lack of <italic>in situ</italic> measurements we cannot evaluate the accuracy of the VOD. In this article, we show analyses with the intention of providing an understanding of the VOD product. We compare the VOD results with those from SMOS. We also study the relation of the SMAP VOD with two vegetation parameters: tree height and biomass.https://ieeexplore.ieee.org/document/9594667/Dual-channel algorithmsoil moisture active passive (SMAP)soil moisture (SM) retrievalvegetation optical depth (VOD) retrieval |
| spellingShingle | Julian Chaubell Simon Yueh R. Scott Dunbar Andreas Colliander Dara Entekhabi Steven K. Chan Fan Chen Xiaolan Xu Rajat Bindlish Peggy O'Neill Jun Asanuma Aaron A. Berg David D. Bosch Todd Caldwell Michael H. Cosh Chandra Holifield Collins Karsten H. Jensen Jose Martinez-Fernandez Mark Seyfried Patrick J. Starks Zhongbo Su Marc Thibeault Jeffrey P. Walker Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Dual-channel algorithm soil moisture active passive (SMAP) soil moisture (SM) retrieval vegetation optical depth (VOD) retrieval |
| title | Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements |
| title_full | Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements |
| title_fullStr | Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements |
| title_full_unstemmed | Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements |
| title_short | Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements |
| title_sort | regularized dual channel algorithm for the retrieval of soil moisture and vegetation optical depth from smap measurements |
| topic | Dual-channel algorithm soil moisture active passive (SMAP) soil moisture (SM) retrieval vegetation optical depth (VOD) retrieval |
| url | https://ieeexplore.ieee.org/document/9594667/ |
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