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

  • 제25권5호
  • /
  • Pages.43-57
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  • 2022
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  • 1229-3032(pISSN)
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  • 2733-5011(eISSN)
한국환경복원기술학회 (The Korea Society of Environmental Restoration Technology)
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산불 지역 인공·자연복원에 따른 Landsat영상 기반 식생지수 비교

Normalized Difference Vegetation Index based on Landsat Images Variations between Artificial and Natural Restoration Areas after Forest Fire

  • 노지선 (한국산지보전협회 산지정보화센터) ;
  • 최재용 (충남대학교 농업생명과학대학 산림환경자원학과)
  • Noh, Jiseon (Forestland Information Center, Korea Forest Conservation Association) ;
  • Choi, Jaeyong (Department of Environment & Forest Resources, Chungnam National University)
  • 투고 : 2022.09.15
  • 심사 : 2022.10.19
  • 발행 : 2022.10.30
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초록

This study aims to classify forest fire-affected areas, identify forest types by the intensity of forest fire damage using multi-time Landsat-satellite images before and after forest fires and to analyze the effects of artificial restoration sites and natural restoration sites. The difference in the values of the Normalized Burned Ratio(NBR) before and after forest fire damage not only maximized the identification of forest fire affected and unaffected areas, but also quantified the intensity of forest fire damage. The index was also used to confirm that the higher the intensity of forest fire damage in all forest fire-affected areas, the higher the proportion of coniferous forests, relatively. Monitoring was conducted after forest fires through Normalized Difference Vegetation Index(NDVI), an index suitable for the analysis of effects by restoration type and the NDVI values for artificial restoration sites were found to no longer be higher after recovering the average NDVI prior to the forest fire. On the other hand, the natural restoration site witnessed that the average NDVI value gradually became higher than before the forest fires. The study result confirms the natural resilience of forests and these results can serve as a basis for decision-making for future restoration plans for the forest fire affected areas. Further analysis with various conditions is required to improve accuracy and utilization for the policies, in particular, spatial analysis through forest maps as well as review through site checks before and immediately after forest fires. More precise analysis on the effects of restoration will be available based on a long term monitoring.

키워드

과제정보

본 연구는 산림청(한국임업진흥원) 산림과학기술 연구개발사업'(2022462A00-2224-0201)'의 지원에 의하여 이루어진 것입니다

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