Estimating Resource Distribution Using Satellite Images to Utilize Woody Biomass
2014-09-02 11:42:14 来源: 评论:0 点击:
Abstract—This study proposes estimating resource distribution using coarse and comprehensive satellite images in order to utilize woody biomass. Woody biomass has potential and there is a large amount of unused forest. Therefore, determining the location and quantity of forest resources is important. Lfand-cover classification is beneficial for finding forest. For such classification, using high-resolution remote-sensing images has the disadvantages of high cost and narrow range. This study used Landsat 8, which provides free coarse satellite images and employed experimental land-cover classification using the Normalized Difference Vegetation Index (NDVI). In addition, this study selected an optimum combination of satellite images. The proposed method was implemented in order to develop a resource-distribution map reflecting latitude and longitude in an unknown forest region. As a result, this study determined the quantity and location of biomass and demonstrated the capability of coarse satellite images.
Index Terms—Woody biomass, Resource-distribution map, Remote sensing, Satellite image, Image analysis, GIS
Cite: Yu Ohya, Katsutoshi Kanamori, and Hayato Ohwada, "Estimating Resource Distribution Using Satellite Images to Utilize Woody Biomass," Lecture Notes on Information Theory, Vol. 2, No. 2, pp. 158-162, June 2014. doi: 10.12720/lnit.2.2.158-162
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