Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth from SMAP Measurements

Mario J. Chaubell; Simon H. Yueh; Scott Dunbar; Andreas Colliander; Dara Entekhabi; Steven K. Chan; Fan Chen; Xiaolan Xu; Rajat Bindlish; Peggy E. Oneill; Jun Asanuma; Aaron Berg; David D. Bosch; Todd Caldwell; Michael Cosh; Chandra D. Holifield Collins; Karsten H. Jensen; Jose Martinez-Fernandez; Mark Seyfried; Patrick Starks; Bob Su; Marc Thibeault; Jeffrey Walker

doi:10.1109/JSTARS.2021.3123932

Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth from SMAP Measurements

Mario J. Chaubell, Simon H. Yueh, Scott Dunbar, Andreas Colliander, Dara Entekhabi, Steven K. Chan, Fan Chen, Xiaolan Xu, Rajat Bindlish, Peggy E. Oneill, Jun Asanuma, Aaron Berg, David D. Bosch, Todd Caldwell, Michael Cosh, Chandra D. Holifield Collins, Karsten H. Jensen, Jose Martinez-Fernandez, Mark Seyfried, Patrick StarksBob Su, Marc Thibeault, Jeffrey Walker

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Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Abstract

In August 2020, SMAP released a new version of its soil moisture (SM) and vegetation optical depth (VOD) retrieval products. In this work, we review the methodology followed by the SMAP regularized dual-channel (DCA) retrieval algorithm. We show that the new implementation generated SM retrievals that not only satisfy the SMAP accuracy requirements but also show a performance comparable to the single-channel algorithm that uses the V polarized brightness temperature (SCA-V). Due to a lack of in situ measurements we cannot evaluate the accuracy of the VOD. In this work, 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.

Originalsprog	Engelsk
Tidsskrift	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vol/bind	15
Sider (fra-til)	102-114
Antal sider	13
ISSN	1939-1404
DOI	https://doi.org/10.1109/JSTARS.2021.3123932
Status	Udgivet - 2022

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10.1109/JSTARS.2021.3123932Licens: CC BY

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Chaubell, M. J., Yueh, S. H., Dunbar, S., Colliander, A., Entekhabi, D., Chan, S. K., Chen, F., Xu, X., Bindlish, R., Oneill, P. E., Asanuma, J., Berg, A., Bosch, D. D., Caldwell, T., Cosh, M., Holifield Collins, C. D., Jensen, K. H., Martinez-Fernandez, J., Seyfried, M., ... Walker, J. (2022). 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, 15, 102-114. https://doi.org/10.1109/JSTARS.2021.3123932

Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth from SMAP Measurements. / Chaubell, Mario J.; Yueh, Simon H.; Dunbar, Scott; Colliander, Andreas; Entekhabi, Dara; Chan, Steven K.; Chen, Fan; Xu, Xiaolan; Bindlish, Rajat; Oneill, Peggy E.; Asanuma, Jun; Berg, Aaron; Bosch, David D.; Caldwell, Todd; Cosh, Michael; Holifield Collins, Chandra D.; Jensen, Karsten H.; Martinez-Fernandez, Jose; Seyfried, Mark; Starks, Patrick; Su, Bob; Thibeault, Marc; Walker, Jeffrey.

I: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Bind 15, 2022, s. 102-114.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Chaubell, MJ, Yueh, SH, Dunbar, S, Colliander, A, Entekhabi, D, Chan, SK, Chen, F, Xu, X, Bindlish, R, Oneill, PE, Asanuma, J, Berg, A, Bosch, DD, Caldwell, T, Cosh, M, Holifield Collins, CD, Jensen, KH, Martinez-Fernandez, J, Seyfried, M, Starks, P, Su, B, Thibeault, M & Walker, J 2022, '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, bind 15, s. 102-114. https://doi.org/10.1109/JSTARS.2021.3123932

Chaubell, Mario J. ; Yueh, Simon H. ; Dunbar, Scott ; Colliander, Andreas ; Entekhabi, Dara ; Chan, Steven K. ; Chen, Fan ; Xu, Xiaolan ; Bindlish, Rajat ; Oneill, Peggy E. ; Asanuma, Jun ; Berg, Aaron ; Bosch, David D. ; Caldwell, Todd ; Cosh, Michael ; Holifield Collins, Chandra D. ; Jensen, Karsten H. ; Martinez-Fernandez, Jose ; Seyfried, Mark ; Starks, Patrick ; Su, Bob ; Thibeault, Marc ; Walker, Jeffrey. / Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth from SMAP Measurements. I: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022 ; Bind 15. s. 102-114.

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abstract = "In August 2020, SMAP released a new version of its soil moisture (SM) and vegetation optical depth (VOD) retrieval products. In this work, we review the methodology followed by the SMAP regularized dual-channel (DCA) retrieval algorithm. We show that the new implementation generated SM retrievals that not only satisfy the SMAP accuracy requirements but also show a performance comparable to the single-channel algorithm that uses the V polarized brightness temperature (SCA-V). Due to a lack of in situ measurements we cannot evaluate the accuracy of the VOD. In this work, 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.",

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T1 - Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth from SMAP Measurements

AU - Chaubell, Mario J.

AU - Yueh, Simon H.

AU - Dunbar, Scott

AU - Colliander, Andreas

AU - Entekhabi, Dara

AU - Chan, Steven K.

AU - Chen, Fan

AU - Xu, Xiaolan

AU - Bindlish, Rajat

AU - Oneill, Peggy E.

AU - Asanuma, Jun

AU - Berg, Aaron

AU - Bosch, David D.

AU - Caldwell, Todd

AU - Cosh, Michael

AU - Holifield Collins, Chandra D.

AU - Jensen, Karsten H.

AU - Martinez-Fernandez, Jose

AU - Seyfried, Mark

AU - Starks, Patrick

AU - Su, Bob

AU - Thibeault, Marc

AU - Walker, Jeffrey

N1 - Publisher Copyright: Author

PY - 2022

Y1 - 2022

N2 - In August 2020, SMAP released a new version of its soil moisture (SM) and vegetation optical depth (VOD) retrieval products. In this work, we review the methodology followed by the SMAP regularized dual-channel (DCA) retrieval algorithm. We show that the new implementation generated SM retrievals that not only satisfy the SMAP accuracy requirements but also show a performance comparable to the single-channel algorithm that uses the V polarized brightness temperature (SCA-V). Due to a lack of in situ measurements we cannot evaluate the accuracy of the VOD. In this work, 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.

AB - In August 2020, SMAP released a new version of its soil moisture (SM) and vegetation optical depth (VOD) retrieval products. In this work, we review the methodology followed by the SMAP regularized dual-channel (DCA) retrieval algorithm. We show that the new implementation generated SM retrievals that not only satisfy the SMAP accuracy requirements but also show a performance comparable to the single-channel algorithm that uses the V polarized brightness temperature (SCA-V). Due to a lack of in situ measurements we cannot evaluate the accuracy of the VOD. In this work, 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.

KW - Brightness temperature

KW - dual-channel algorithm

KW - Histograms

KW - L-band

KW - Ocean temperature

KW - Optical polarization

KW - Optical sensors

KW - SMAP

KW - soil moisture retrieval

KW - Vegetation mapping

KW - vegetation optical depth retrieval

U2 - 10.1109/JSTARS.2021.3123932

DO - 10.1109/JSTARS.2021.3123932

M3 - Journal article

AN - SCOPUS:85118550195

VL - 15

SP - 102

EP - 114

JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

SN - 1939-1404

ER -