ALOS PALSAR Quad-Pol Data for Soil Moisture Mapping

ALOS PALSAR quadpol data acquired over two test sites of India were processed and analysed for soil moisture mapping and classification. Polsarpro software and some programs developed by us were used for the processing of the data. Data were classified using H/A/Alpha Wishart technique. PauliRGB and classified images give a lot of details about various land features. For soil moisture mapping, we used Dubois et al. and Oh et al models to invert backscattering coefficient values into dielectric constant. Dubois et al. model overestimates soil moisture as compared to Oh et al. model. It may be due to lower incidence angle at which the data were acquired. As we do not have groundtruth data synchronous with passes, the preliminary study is just a qualitative analysis of the data to get experience in handling the data.