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Application of Landsat ETM Image Indices to Classify the Wildfire Area of Gangneung, Gangweon Province, Korea  

Yang, Dong-Yoon (Korea Institute of Geoscience & Mineral Resources)
Kim, Ju-Yong (Korea Institute of Geoscience & Mineral Resources)
Chung, Gong-Soo (Department of Geology and Earth Environment Sciences, Chungnam National University)
Lee, Jin-Young (Korea Institute of Geoscience & Mineral Resources)
Publication Information
Journal of the Korean earth science society / v.25, no.8, 2004 , pp. 754-763 More about this Journal
Abstract
This study was aimed to examine the Landsat Enhanced Thematic Mapper Plus (ETM+) index, which matches well with the field survey data in the wildfire area of Gangneung, Gangweon Province, Korea. In the wildfire area NDVI (Normalized Difference Vegetation Index), SAVI (Soil Adjusted Vegetation Index), and Tasseled Cap Transformation Index (Brightness, Wetness, Greenness) were compared with field survey data. NDVI and SAVI were very useful in detecting the difference between the wildfire and non-wildfire area, but not so in classify the soil types in the wildfire area. The soil plane based on the Tasseled Cap Transformation showed a better result in classifying the soil types in the wildfire areas than NDVI and SAVI, and corresponded well with field survey data. Using a linear function based on greenness and wetness in the Tasseled Cap Transformation is expected to provide a more efficient and quicker method to classify wildfire areas.
Keywords
wildfire area; Landsat ETM+ indices; image classification; Vegetation Index (VI); Soil Adjusted Vegetation Index (SAVI); Tasseled Cap Transformation;
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