Soil Moisture Model with Multi Angle and Multi Polarisation Risat-1 Data

Abstract. Multi dimensional data (multi frequency, incident angle and polarisation) measurements of σ₀ provided better estimates of soil moisture over those derived from single. This particular paper explains a new methodology for soil moisture estimation with the use of multi angle and multi polarisation RISAT-1 data. The roughness component was derived by correlating root mean square height with the differences of cross polarisation and like polarisation backscatter values (σ _HV - σ _HH) and differences of low and high incidence backscatter values (σ _HH high (θ) - σ _HH Low). The derived roughness was inputted to the modified dubois model (MDM). The results show both the σ HV - σ _HH & σ _HH high (θ) - σ _HH Low are sensitive to roughness. The derived soil moisture using the MDM model is shows reasonable correlation with ground soil moisture.