COMPARATIVE STUDY TO ESTIMATE SOIL MOISTURE WITH PALSAR DATA(Poster Session I -Radar and SAR Technologies-,ICSANE 2010 (International Conference on Space, Aeronautical and Navigational Electronics))

概要

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The sensitivity of microwave scattering to both dielectric and geometric characteristics of natural surfaces makes microwave radar remote sensing one of most promising techniques for estimating moisture content. Many approaches based on experimental observations and theoretical reasoning has been developed for soil moisture retrieval from SAR systems but still uncertainties exist. To retrieve crop /vegetation covered soil moisture with SAR data is quite challenging. One of the main problems of these models is knowledge of apriori information of concerned fields. Therefore, it is important point of research to minimize the use of apriori information while retrieving the parameters with SAR data. So, in this paper, two approaches have been selected for the retrieval of soil moisture with SAR data with account for the vegetation effects. In the first approach, the water cloud model is used to introduce vegetation correction into the backscattering coefficients, which are then used in the inversion model to yield soil moisture retrieval results. In the second approach, role of fusion of optical data into microwave synergistic model is applied where use of apriori information is minimized. The two approaches are applied on PALSAR (Phase Array L Band SAR) data and MODIS (Moderate Resolution Imaging Spectroradiometer) data. A quite good agreement between observed and retrieved soil moisture is observed from both the methods.
2010-10-20