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Estimating Resource Distribution Using Satellite Images to Utilize Woody Biomass

Yu Ohya, Katsutoshi Kanamori, and Hayato Ohwada
Tokyo University of Science, Japan
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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