Journal of the Korean Society of Environmental Restoration Technology (한국환경복원기술학회지)

The Korea Society of Environmental Restoration Technology (한국환경복원기술학회)
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Analysis of vegetation change in Taehwa River basin using drone hyperspectral image and multiple vegetation indices

드론 초분광 영상과 다중 식생지수를 활용한 태화강 유역 식생변화 분석

  • Kim, Yong-Suk (Department of Lnadscape Architecture, Dong-A University)
  • 김용석 (동아대학교 디자인환경대학 조경학과)
  • Received : 2021.01.28
  • Accepted : 2021.02.22
  • Published : 2021.02.26
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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

Acknowledgement

본 연구는 환경부와 한국환경산업기술원에서 지원받은 특성화사업에 따른 연구 결과물입니다.

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