Integrating SAR and optical products for crop management (Isocrop) iophysical parameter retrieval using X and L band SAR data

The Isocrop project has obtained near simultaneous L and X band SAR data, superspectral data and in situ ground truth data at two winter wheat test sites over several growing seasons using airborne DLR E-SAR and Specim AISA sensors. This paper describes the development of retrieval algorithms and information products based on the SAR data which are capable of providing useful information for the management of winter wheat crops. These algorithms are based on exploiting the correlation between biophysical parameters including mean backscatter, ratios of backscatter and components derived form a range of polarimetric scattering models. These algorithms and products are intended to support the application of X and L band data from the proposed satellite borne TerraSAR system.