This paper describes the analysis to investigate the characteristics of high resolution satellite imagery about forest species to develop a forest species discrimination method. The study was carried out for the mountain area located in the Yamato and Minami district, Gifu Prefecture, in Japan.Eight kinds of forest species, the Japanese cedar, the hinoki cypress, the Japanese red pine, the pine death area, the Japanese larch, the oak, the chestnut and the bamboo which are distributed in the area, are investigated in this study.
The reflection characteristic and the texture characteristic of IKONOS pansharpen data for the eight test sites concerning the eight forest species are analyzed by using the forest type map based on the field survey.The area size of the test sites are 200m square and the size of the filter for the texture analysis is 7 pixel square.It was made clear by the analyses that the Japanese cedar and the bamboo have specific distributions on histogram of DN for ch.4 of IKONOS data and that the Japanese cedar, the hinoki cypress and the Japanese red pine have different distributions on histogram of the mean values of DN within the filter.It was also noticed by the application of the results for the discrimination for the forest species in the test sites that the results of a spectrum analysis and a texture analysis are effective for extraction of the target forest species in the test sites, especially for the Japanese cedar, the hinoki cypress, the Japanese larch and the bamboo.
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