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http://dx.doi.org/10.13087/kosert.2021.24.1.97

Analysis of vegetation change in Taehwa River basin using drone hyperspectral image and multiple vegetation indices  

Kim, Yong-Suk (Department of Lnadscape Architecture, Dong-A University)
Publication Information
Journal of the Korean Society of Environmental Restoration Technology / v.24, no.1, 2021 , pp. 97-110 More about this Journal
Abstract
Vegetation index information is an important figure that is used in many fields such as landscape architecture, urban planning, and environment. Vegetation may vary slightly in vegetation vitality depending on photosynthesis and chlorophyll content. In this study, a range of vegetation worth preserving in the Taehwa River water system was determined, and hyperspectral images of drones were acquired (August, October), and the results were presented through DVI(Normalized Defference Vegetation Index), EVI(Enhanced Vegetation Index), PRI(Photochemical Reflectance Index), ARI (Anthocyanin Reflectance Index) index analysis. In addition, field spectral data and VRS-GPS(Virtual Reference System-GPS) surveys were performed to ensure the quality and location accuracy of the spectral band. As a result of the analysis, NDVI and EVI showed low vegetation vitality in October, -0.165 and -0.085, respectively, and PRI and ARI increased to 0.011 and 7.588 in October, respectively. For general vegetation vitality, it was suggested that NDVI and EVI analysis were effectively performed, and PRI and ARI were thought to be effective in analyzing detailed characteristics of plants by spectral band. It is expected that it can be widely used for park design and landscape information modeling by using drone image information construction and vegetation information.
Keywords
Drone hyperspectral; VRS-GPS; NDVI; EVI; PRI; ARI;
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