Abstract
This paper analyzes landcover in the Amazon using local fractal dimensions in Synthetic Aperture Radar (SAR) data compared to SAR and Thematic Mapper (TM) brightness information. To improve SAR data classification accuracy, we apply local fractal dimensions to classifying water areas in the Amazon.SAR, unlike TM, cannot distinguish water types. Local fractal dimensions in SAR data classify two landcover classes-varzea and others-that SAR brightness information cannot classify. Local fractal dimensions also extract detailed landcover at data acquisition more accurately than TM brightness information. The estimation ratio of the water-1 & water-2 in two study sites is about 34.2% using local fractal dimensions in SAR data.
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