Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Characterization of Tree Composition using Images from SENTINEL-2: A Case Study with Semiyang Oreum

SENTINEL-2 위성영상을 이용한 조림 특성 조사: 세미양오름를 통한 사례 연구

  • Chung, Yong Suk (Department of Plant Resources and Environment, Jeju National University) ;
  • Yoon, Seong Uk (Department of Plant Resources and Environment, Jeju National University) ;
  • Heo, Seong (Department of Horticulture, Kongju National University) ;
  • Kim, Yoon Seok (Department of Plant Resources and Environment, Jeju National University) ;
  • Ahn, Jinhyun (Department of Management Information Systems & Faculty of Data Science for Sustainable Growth, Jeju National University) ;
  • Han, Gyung Deok (Department of Practical Course Education, Cheongju National University of Education)
  • 정용석 (제주대학교 식물자원환경전공) ;
  • 윤성욱 (제주대학교 식물자원환경전공) ;
  • 허성 (공주대학교 원예학과) ;
  • 김윤석 (제주대학교 식물자원환경전공) ;
  • 안진현 (제주대학교 경영정보학과) ;
  • 한경덕 (청주교육대학교 실과교육과)
  • Received : 2022.06.06
  • Accepted : 2022.08.16
  • Published : 2022.09.30
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Abstract

Global warming affects forests and their ecology. Diversity in the forest is a buffer that reduces the damage due to global warming. Mixed forests are ecologically more valuable as versatile habitats and are effective in preventing landslides. In Korea, most forests were created by simple afforestation with trees of evergreen species. Typically, evergreen trees are shallow-rooted, and deciduous trees are deep-rooted. Mixed forest tree roots grip the soil effectively, which reduces the occurrence of landslides. Therefore, improving the distribution of tree types is essential to reduce damage due to global warming. For this improvement, the investigation of tree types of the forest is needed. However, determining the tree type distribution of forests that are spread over wide areas is labor-intensive and time-consuming. This study suggests effective methods for determining the distribution of tree types in a forest that is spread across a relatively wide area. Using normalized difference vegetation index and RGB images from unmanned aerial vehicles, each evergreen and deciduous tree, and grassland area can be distinguished. The distinguished image determines the distribution of tree type. This method is effective compared to directly determining the tree type distribution in the forest by the use of manpower. The data from these methods could be applied to plan a mixed forest or to prepare for future damage due to global warming.

Keywords

Acknowledgement

이 논문은 2022학년도 제주대학교 교육·연구 및 학생지도비 지원에 의해서 연구되었음.

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