Mapping insect-induced pine mortality in the Daniel Boone National Forest, Kentucky using Landsat TM and ETM+ data
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Date
2005Author
Maingi, John K
Luhn, William M
Type
ArticleLanguage
enMetadata
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A decision tree classifier was used to create a three-species conifer map of the Daniel Boone National Forest, Kentucky using Landsat TM images and ancillary data. The resulting map had an overall classification accuracy of approximately 82%. In the second part of the study, Landsat TM and ETM+ images acquired in 1995 and 2002, respectively, were used to evaluate five change-detection techniques for mapping conifer damage caused by southern pine beetle (SPB). PCA and SARVI2 change-detection techniques resulted in the highest classification accuracies. Over 60% of the conifer species were killed as a result of SPB infestation.
Citation
GIScience & Remote Sensing Volume 42, Number 3 / July-September 2005Publisher
University of Nairobi Department of Geography and Environment