Corpus ID: 18309247

CCA Fuzzy Land Cover: a new method for classifying vegetation types and coverages and its implications for deforestation analysis

@article{ArellanoP2015CCAFL,
  title={CCA Fuzzy Land Cover: a new method for classifying vegetation types and coverages and its implications for deforestation analysis},
  author={H. Arellano-P. and J. O. Rangel-Ch},
  journal={arXiv: Quantitative Methods},
  year={2015}
}

H. Arellano-P., J. O. Rangel-Ch

Published 2015

Geography, Biology

arXiv: Quantitative Methods

Land cover has been evaluated and classified on the basis of general features using reflectance or digital levels of photographic or satellite data. One of the most common methodologies based on CORINE land cover (Coordination of Information on the Environment) data, which classifies natural cover according to a small number of categories. This method produces generalizations about the inventoried areas, resulting in the loss of important floristic and structural information about vegetation… CONTINUE READING

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