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http://dx.doi.org/10.7319/kogsis.2013.21.3.063

Analysis of Satellite Images to Estimate Forest Biomass  

Lee, Hyun Jik (Civil Eng, Sangji University)
Ru, Ji Ho (Civil Eng, Sangji University)
Yu, Young Geol (Civil Eng, Sangji University)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.21, no.3, 2013 , pp. 63-71 More about this Journal
Abstract
This study calculated vegetation indexes such as SR, NDVI, SAVI, and LAI to figure out correlations regarding vegetation by using high resolution KOMPSAT-2 images and LANDSAT images based on the forest biomass distribution map that utilized field survey data, satellite images and LiDAR data and then analyzed correlations between their values and forest biomass. The analysis results reveal that the vegetation indexes of high resolution KOMPSAT-2 images had higher correlations than those of LANDSAT images and that NDVI recorded high correlations among the vegetation indexes. In addition, the study analyzed the characteristics of hyperspectral images by using the COMIS of STSAT-3 and Hyperion images of a similar sensor, EO-1, and further the usability of biomass estimation in hyperspectral images by comparing vegetation index, which had relatively high correlations with biomass, with the vegetation indexes of LANDSAT with the same GSD conditions.
Keywords
Biomass; Hyperspectral Image; Vegetation Index;
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Times Cited By KSCI : 1  (Citation Analysis)
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