Estimation and analysis soil moisture of hunshandake sandy land from polarimetric SAR data

At present, various models are developed for soil moisture retrieval, but the application of polarimetric SAR data to retrieve soil moisture in sandy land is rare. Therefore, it is necessary to develop a method for retrieving soil moisture in sandy land. In this paper, we proposed a model to estimate the soil moisture in Hunshandake Sandy Land. The model does not need to take into account the surface roughness, only using the VV and HH polarization backscattering coefficients can be used to retrieve soil moisture. In addition, diversity of the vegetation over the sandy land is difficult to predict. We selected five samples to analyze the effect of vegetation on the inversion results of soil moisture in sandy land.