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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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.

In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15, 2022, p. 102-114.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

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, vol. 15, pp. 102-114. https://doi.org/10.1109/JSTARS.2021.3123932

APA

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

Vancouver

Chaubell MJ, Yueh SH, Dunbar S, Colliander A, Entekhabi D, Chan SK et al. 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. 2022;15:102-114. https://doi.org/10.1109/JSTARS.2021.3123932

Author

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. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022 ; Vol. 15. pp. 102-114.

Bibtex

@article{aa4413e69b5c4d6d9cd05b9206cc4c88,
title = "Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth from SMAP Measurements",
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.",
keywords = "Brightness temperature, dual-channel algorithm, Histograms, L-band, Ocean temperature, Optical polarization, Optical sensors, SMAP, soil moisture retrieval, Vegetation mapping, vegetation optical depth retrieval",
author = "Chaubell, {Mario J.} and Yueh, {Simon H.} and Scott Dunbar and Andreas Colliander and Dara Entekhabi and Chan, {Steven K.} and Fan Chen and Xiaolan Xu and Rajat Bindlish and Oneill, {Peggy E.} and Jun Asanuma and Aaron Berg and Bosch, {David D.} and Todd Caldwell and Michael Cosh and {Holifield Collins}, {Chandra D.} and Jensen, {Karsten H.} and Jose Martinez-Fernandez and Mark Seyfried and Patrick Starks and Bob Su and Marc Thibeault and Jeffrey Walker",
note = "Publisher Copyright: Author",
year = "2022",
doi = "10.1109/JSTARS.2021.3123932",
language = "English",
volume = "15",
pages = "102--114",
journal = "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing",
issn = "1939-1404",
publisher = "Institute of Electrical and Electronics Engineers",

}

RIS

TY - JOUR

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 -

ID: 285314876