The potential of multi angle C-band SAR data for soil moisture retrieval

Abstract

A retrieval algorithm to estimate soil moisture content from C-band SAR data is presented. The algorithm consists of a neural network trained with simulated data obtained by exploiting the LEM model. The algorithm performances are assessed as a function of current and future SAR configurations by using both experimental and simulated data.