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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