Feasibility on the use of JERS-1/SAR data for soil moisture prediction models

This study presents an evaluation on the use of SAR/JERS-1 data for soil moisture prediction models, comparing values obtained using these data with those obtained during field campaign. We used the models presented by [1] and [2], which relate the backscatter coefficient with soil parameters, such as roughness and moisture. It was impossible to directly invert the model from Oh et al when including the complex number function. The model from Dubois et al. was inverted, but it became necessary to insert estimated values of roughness (RMS height) to permit its use with mono-polarized images. The results can be considered as adequate.