Abstract
As an important component of soil, soil moisture plays an important role in material and energy transmission between hydrosphere, biosphere and atmosphere. It is of great significance to accurately understand the spatial and temporal distribution of soil moisture in large areas. At present, the spaceborne passive microwave remote sensing could achieve the accurate surface soil moisture of large areas, but at the low spatial resolution (10-50km). Therefore, its application was restricted. In this paper, a downscaling algorithm of passive microwave soil moisture products based on C-band backscattering coefficient is developed, and the algorithm is verified by L-band PALS Radiometer data and C-band AIRSAR data, the correlation coefficient R between the soil moisture content and the measured value is 0.71, and the root mean square error is 0.053cm3 · cm−3. According to the verification results of measured data, the downscaling algorithm of soil moisture retrieval products based on C-band backscattering coefficient is reliable.
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