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Testing Spatial Autocorrelation of Burn Severity  

Lee, Sang-Woo (Department of Environmental Science, Konkuk University)
Won, Myoung-Soo (Division of Forest Disaster Management, Korea Forest Research Institute)
Lee, Hyun-Joo (Department of Environmental Science, Graduate School, Konkuk University)
Publication Information
Journal of Korean Society of Forest Science / v.101, no.2, 2012 , pp. 203-212 More about this Journal
Abstract
This study aims to test presence of spatial autocorrelation of burn severity in Uljin and Youngduk areas burned in 2011. SPOT satellite images were used to compute the NDVI representing burn severity, and NDVI values were sampled for 5,000 randomly dispersed points for each site. Spatial autocorrelations of sampled NDVI values were analyzed with Moran's I and Variogram models. Moran's I values of burn severity in Uljin and Youngduk areas were 0.7745 and 0.7968, respectively, indicating presence of strong spatial autocorrelations. On the basis of Variogram and changes of Moran's I values by lag class, ideal sampling distance were proposed, which were 566-2,151 m for Uljin and 272-402 m for Youngduk. It was recommended to apply these ranges of sampling distance in flexible corresponding to Anisotropic characteristics of burned areas.
Keywords
spatial autocorrelation; moran's I; variogram; LISA; isotropic;
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