Improved SMAP Dual-Channel Algorithm for the Retrieval of Soil Moisture
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tgars20-1.pdf
Description
Accepted version
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7.52 MB
Format
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Author(s)
Chaubell, Mario Julian
Yueh, Simon H
Dunbar, R Scott
Colliander, Andreas
Chen, Fan
Chan, Steven K
Entekhabi, Dara
Bindlish, Rajat
O'Neill, Peggy E
Asanuma, Jun
Date Issued
January 2020
Journal
IEEE Transactions on Geoscience and Remote Sensing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
M. J. Chaubell et al., "Improved SMAP Dual-Channel Algorithm for the Retrieval of Soil Moisture," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 6, pp. 3894-3905, June 2020 © 1980-2012 IEEE.
Version
Author's final manuscript
Abstract
The soil moisture active passive (SMAP) mission was designed to acquire L-band radiometer measurements for the estimation of soil moisture (SM) with an average ubRMSD of not more than 0.04 m3 m-3 volumetric accuracy in the top 5 cm for vegetation with a water content of less than 5 kg m 2. Single-channel algorithm (SCA) and dual-channel algorithm (DCA) are implemented for the processing of SMAP radiometer data. The SCA using the vertically polarized brightness temperature (SCA-V) has been providing satisfactory SM retrievals. However, the DCA using prelaunch design and algorithm parameters for vertical and horizontal polarization data has a marginal performance. In this article, we show that with the updates of the roughness parameter $h$ and the polarization mixing parameters Q, a modified DCA (MDCA) can achieve improved accuracy over DCA; it also allows for the retrieval of vegetation optical depth (VOD or τ). The retrieval performance of MDCA is assessed and compared with SCA-V and DCA using four years (April 1, 2015 to March 31, 2019) of in situ data from core validation sites (CVSs) and sparse networks. The assessment shows that SCA-V still outperforms all the implemented algorithms.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/TGRS.2019.2959239
