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This research aims to develop a multispectral, object-oriented and statistically-based change detection method using SPOT-VEGETATION time series. The dataset consists in daily images spanning years 2000 to 2006 and covering Bornean forest ecosystems. Seasonal composites are processed and homogeneous objects are delineated through a multi-temporal segmentation procedure. Each object is defined by a...
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