Global land cover classi ® cations at 8 km spatial resolution : the use of training data derived from Landsat imagery in decision tree classi ® ers

@inproceedings{FRIES2004GlobalLC,
  title={Global land cover classi ® cations at 8 km spatial resolution : the use of training data derived from Landsat imagery in decision tree classi ® ers},
  author={R. S. DE FRIES and Matthew C. Hansen and John R. Townshend and Rob Sohlberg},
  year={2004}
}
This paper reports a study which aims to (i) develop methodologies for global land cover classi® cations that are objective, reproducible and feasible to implement as new satellite data become available in the future and (ii) provide a global land cover classi® cation product based on the National Aeronautics and Space Administration/National Oceanic and Atmospheric Administration Path® nder Land (PAL) data that can be used in global change research. The spatial resolution for the land cover… CONTINUE READING
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