Comparing farmer‐based and satellite‐derived deforestation estimates in the Amazon basin using a hybrid classifier
@article{Wynne2007ComparingFA, title={Comparing farmer‐based and satellite‐derived deforestation estimates in the Amazon basin using a hybrid classifier}, author={Randolph H. Wynne and Katherine. A. Joseph and John O. Browder and Percy M. Summers}, journal={International Journal of Remote Sensing}, year={2007}, volume={28}, pages={1299 - 1315} }
The Amazon basin remains a major hotspot of tropical deforestation, presenting a clear need for timely, accurate and consistent data on forest cover change. We assessed the utility of a hybrid classification technique, iterative guided spectral class rejection (IGSCR), for accurately mapping Amazonian deforestation using annual imagery from the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) from 1992 to 2002. The mean overall accuracy of the 11 annual classifications was…
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