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                                       Details for article 153 of 268 found articles
 
 
  Linear mixture model classification of burned forests in the Eastern Amazon
 
 
Title: Linear mixture model classification of burned forests in the Eastern Amazon
Author: Cochrane, M. A.
Appeared in: International journal of remote sensing
Paging: Volume 19 (1998) nr. 17 pages 3433-3440
Year: 1998-01
Contents: A methodology is described for detecting and classifying burned forests in Amazonia. Linear mixture models using three image endmembers (vegetation, soil, shade) were used to separate forest from non-forest. Forested areas were unmixed using vegetation, non-photosynthetic vegetation (NPV) and shade endmembers and reclassified as unburned, recently burned and older burned forests. The NPV fraction provided the greatest separability of the forest classes and has potential for subclassification of burned areas into damage classes. For 184 km2 of burned forest, a conservative estimate of 9% (22 metric tons ha-1) of living biomass was lost due to forest fires between 1991-1993.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 153 of 268 found articles
 
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