Optical and Sar Imagery for Mapping Vegetation Gradients in Brazilian Savannas: Synergy between Pixel-based and Object-based Approaches
نویسندگان
چکیده
The objectives of this study were (a) to evaluate the suitability of SAR imagery for discriminating savanna physiognomies, (b) to combine SAR and optical imagery for achieving improved accuracy, and (c) to develop a hybrid approach based on pixels and objects to characterize gradients of vegetation density. We used imagery from the Phased Array L-band Synthetic Aperture Radar (PALSAR), as well as imagery from the Thematic Mapper (TM) sensor. The PALSAR image was acquired in September 5 2007, in dual polarization (HH and HV) with an off-nadir viewing angle of 34.3. The TM image was acquired in September 1
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