PROJECT TITLE :

Passive Microwave Remote Sensing of Soil Moisture Based on Dynamic Vegetation Scattering Properties for AMSR-E

ABSTRACT:

Accurate mapping of long-term global soil moisture is of great importance to earth science studies and a selection of applications. An approach for deriving volumetric soil moisture using satellite passive microwave radiometry from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) was developed during this study. Unlike the major AMSR-E retrieval algorithms that assume fixed scattering albedo values over the globe, the proposed algorithm adopts a weighted averaging strategy for soil moisture estimation based mostly on a dynamic choice of albedo values that are empirically determined. The resulting soil moisture retrievals demonstrate additional realistic world patterns and seasonal dynamics relative to the baseline University of Montana soil moisture product. Quantitative analysis of the new approach against in situ soil moisture measurements over four study regions additionally indicates improvements over the baseline algorithm, with coefficients of determination between the retrievals and in situ measurements increasing by approximately sixteen.9% and 41.five% and bias-corrected root-mean-square errors decreasing by about 25.0% and thirty eight.a pair of% for ascending and descending orbital information records, respectively. The ensuing algorithm is quickly applied to similar microwave sensors, together with the Advanced Microwave Scanning Radiometer 2, and its retrieval strategy is additionally applicable to other passive microwave sensors, including lower frequency (L-band) observations from the National Aeronautics and Space Administration Soil Moisture Active Passive mission.


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