Abstract
Very little information is available on specific methodology to be used when analyzing synthetic aperture radar (SAR) data to generate land-cover maps. The methodology available for optical data cannot be extrapolated for SAR applications because the two sensors are based on different underlying physical theories and respond to different characteristics of the target environment. The differences in their underlying theories mean that experience with optical data analysis does not directly translate to analysis of SAR data. In this paper, a process model is presented that can be used by image analysts and end-users for understanding the procedures that must be followed to generate land-cover maps from satellite radar imagery. The model was developed in the context of generating a crop map based on RADARSAT-1 images. The products, tools, and techniques required for SAR analysis are presented. It is hoped that the process model described in this paper will encourage greater use of SAR imagery in future studies, principally by non-SAR experts.
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