Combined passive and active microwave remote sensing of land surface parameters using AMSR-E and sea winds

The backscattering and emission measured respectively by scatterometer and radiometer show promise for the estimation of surface soil moisture and vegetation characteristics. In this paper, the 13.4GHz scatterometer of QuikSCAT and the 6.9GHz radiometer of AMSR-E are simultaneously used for the estimation of the near-surface soil moisture and vegetation water content. An algorithm using synthetic passive and active microwave data is proposed to estimation land surface parameters. At last, the retrieval algorithm was applied on AMSR and QUIKSCAT observations which have been carried out for the SMEX02 (Soil Moisture Experiment 2002) region in Ames, Iowa for the time period June 25 to July 13, 2002. The result shows a consistent performance.