In this paper 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 IEM model. The algorithm performances are assessed as a function of current and future SAR configurations by using both experimental and simulated data.
Potential of multi angle C-band SAR data for soil moisture retrieval
Satalino G;Pasquariello G;Mattia F;
1999
Abstract
In this paper 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 IEM model. The algorithm performances are assessed as a function of current and future SAR configurations by using both experimental and simulated data.File in questo prodotto:
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