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

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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Dual-channel algorithm
soil moisture active passive (SMAP)
soil moisture (SM) retrieval
vegetation optical depth (VOD) retrieval
Online Access:https://ieeexplore.ieee.org/document/9594667/

Internet

https://ieeexplore.ieee.org/document/9594667/

Similar Items