Soil-moisture estimation using polarimetric SAR data

In this paper we outline the role of polarimetric decomposition in the application of soil roughness and soil moisture inversion algorithms. We investigate how the eigenvector decomposition of the covariance matrix may be used to improve the performance of the inversion algorithms. Finally we demonstrate and discuss the resulting advantages of the proposed method using experimental SAR data acquired by DLR's ESAR system.