Soil moisture mapping with polarimetric sar in huanghe delta of china

The objective of this paper is to use the partial least squares regression as a modeling method to establish the relationship between soil moisture and polarimetric decomposition parameters which are obtained by T3 matrix and H/A/alpha polarimetric decomposition with full-polarization RADARSAT-2 SAR image. The results show that the parameter set of T3 matrix have the minimum accuracy comparing with the other three decomposition ways of the H/A/alpha. The best results of the H/A/alpha is the Eigenvector parameter set. However, it is still lower than the inversion of parameter combinations with R-2 of 0.84 for calibration and R-2 of 0.77 for validation. It indicates that the polarimetric decomposition parameters can be used for mapping soil moisture in Huanghe Delta.