Retrieval of Soil Moisture Data at Global Scales with Amsr-e
نویسندگان
چکیده
An algorithm for the estimate of the soil moisture content on a global scale from dual-frequency (Cand Xbands) microwave data of the Advanced Microwave Scanning Radiometer (AMSR-E) is presented in this paper. The algorithm is based on the brightness temperature at C-band and uses the Polarization Index at X-band to correct for vegetation effects. The retrieval is obtained by inverting a simplified Radiative Transfer model by using the NelderMead iterative minimization method. The algorithm was validated with microwave data collected on two sites, located in Italy and in Iowa (US), during the MASMEx02 (Microwave Alpine Soil Moisture Experiment) and the SMEX02 (Soil Moisture Experiment) experiments, respectively.
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