Primary forest and land cover contextual classification using JERS-1 data in Amazonia, Brazil

@article{Dutra1998PrimaryFA,
  title={Primary forest and land cover contextual classification using JERS-1 data in Amazonia, Brazil},
  author={L. V. Dutra and Revital Huber and Pedro Hern{\'a}ndez},
  journal={IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174)},
  year={1998},
  volume={5},
  pages={2743-2745 vol.5}
}
The authors present a methodology for land cover and primary forest mapping in Amazonia using textural features derived from JERS-1 data and classified with a multilayer perceptron based contextual method. Land cover classification is an important step towards the use of radar data as a tool for land use change studies in Amazonia. Also, primary forest classification is an important issue in ecosystem studies and economical assessment of sustainable timber exploitation. The use of radar data… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-2 OF 2 REFERENCES

Redmond . “ Tau Coeffients for Accuracy Assessment of Classification of Remote Sensing Data ”

Zhenkui Ma, L. Roland
  • Photogrammetric Engineering & Remote Sensing
  • 1989