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
APA
Vancouver
Author
Bibtex
}
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