Abstract
Soil moisture is a key variable for land-atmosphere water and heat energy exchange, crop growth, and the global water cycle. In this study, a method for soil moisture retrieval by utilizing both of the multi-angular and multitemporal features of brightness temperature from SMOS (Soil Moisture and Ocean Salinity) was proposed: first, vegetation optical depth (VOD) and single scattering albedo $(\omega)$ were retrieved using SMOS Horizontal-polarized multiangular and multi-temporal observations, then we applied the single-channel retrieval algorithm (SCA) to derive soil moisture. Results from this study showed that the consistency between the retrieved soil moisture by the new algorithm and the in-situ data was better than those from SMOSL3 and SMOS-IC through the comparison with insitu soil moisture from several observation networks with smaller value of unbiased root mean square error (ubRMSE).
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