Authors
Yao Xiao, Xiaojun Li, Lei Fan, Gabrielle De Lannoy, Jian Peng, Frédéric Frappart, Ardeshir Ebtehaj, Patricia de Rosnay, Zanpin Xing, Ling Yu, Guanyu Dong, Simon H Yueh, Andress Colliander, Jean-Pierre Wigneron
Publication date
2024/9/1
Journal
Remote Sensing of Environment
Volume
311
Pages
114240
Publisher
Elsevier
Description
The accuracy of global L-band soil moisture (SM) and vegetation optical depth (L-VOD) products retrieved through the τ-ω model is highly dependent on temperature inputs obtained from model-based temperature products. However, the performance of these temperature products in the retrieval of global-scale SM and L-VOD has not yet been evaluated. Therefore, this study aimed to evaluate four commonly used model-based temperature products as input to the SMAP-INRAE-BORDEAUX (SMAP-IB) algorithm for retrieving SM and L-VOD. Specifically, we investigated differences in SMAP-IB retrievals of SM and L-VOD using four model-based temperature sources as input, along with four configurations concerning the parameterization of effective soil (TG) and vegetation (TC) temperatures. Triple collocation analysis (TCA) results showed that SM retrievals based on GLDAS temperatures (SMGLDAS), with TC set …
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Scholar articles
Y Xiao, X Li, L Fan, G De Lannoy, J Peng, F Frappart… - Remote Sensing of Environment, 2024