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Estimates of bare soil surface parameters from multi-polarization and multi-angle SAR data

Abstract - Because soil moisture as well as surface roughness affect radar backscatter of bare soils, any practical application of radar must be able to account for these two target properties. The new generation of SAR satellites like ENVISAT, RADARSAT-2 and ALOS permit the acquisition of two or more images with different sensor configurations over the same target. Using this capacity, it is possible to retrieve both of these soil surface parameters simultaneously from a combination of images with different polarizations and/or different incidence angles. This study addresses the problem of the estimation of bare soil surface parameters (roughness and moisture). It applies the inversion algorithms of backscattering models to this estimation based on multi polarization and multi angle SAR data. As our preliminary results are suggesting, the accuracy of the estimated surface parameters strongly depends on the performance of backscattering models and data configuration. Therefore, the best fitted model with the best sensor configuration are being chosen and tested over several experimental sites in order to estimate soil moisture and surface roughness.