강원도 강릉시 산불지역에서의 토양유형의 분포와 침식양상파악을 위한 Landsat ETM 영상의 활용 = Application of Landsat ETM Image to Estimate the Distribution of Soil Types and Erosional Pattern in theWildfire Area of Gangneung, Gangweon Province, Korea

다국어 초록 (Multilingual 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.