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http://dx.doi.org/10.7319/kogsis.2013.21.4.021

Vegetation Classification using KOMPSAT-2 Imagery and High-resolution airborne imagery in Urban Area  

Park, Jeong Gi (Dept. of Civil Engineering, Chonbuk National University)
Go, Shin Young (Dept. of Civil Engineering, Chonbuk National University)
Cho, Gi Sung (Dept. of Civil Engineering, Chonbuk National University)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.21, no.4, 2013 , pp. 21-27 More about this Journal
Abstract
Recently, It is increasing that importance of systematic management by carbon sinks in forest resources. Especially, in terms of social, Forest resources in urban areas are important role as well as carbon sinks, and improvement of the natural environment of the city. In this study, through ANOVA analysis that a total of nine different vegetation index from rearranged NIR band of images to Forest tree species classified in urban areas using high-resolution aerial images and satellite images of KOMPSAT-2. And various vegetation indices such as NDVI are divided a species by forest units through statistical analysis. Also, separated species are compared to forest type map by the Forest Service. As a result, it is built as basis for vegetation management in urban areas.
Keywords
Urban Areas; Airborne Imagery; KOMPSAT-2; Vegetation Classification; ANOVA Analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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