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

  • 제20권4호
  • /
  • Pages.29-42
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  • 2017
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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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위성영상 시공간 융합과 CASA 모형을 활용한 산지 개발사업의 식생 순일차생산량에 대한 영향 평가

Impact Assessment of Forest Development on Net Primary Production using Satellite Image Spatial-temporal Fusion and CASA-Model

  • 김예화 (서울대학교 협동과정조경학) ;
  • 주경영 (서울대학교 대학원) ;
  • 성선용 (서울대학교 협동과정조경학) ;
  • 이동근 (서울대학교 조경지역시스템공학부)
  • Jin, Yi-Hua (Interdisciplinary Program in Landscape Architecture, Seoul National University) ;
  • Zhu, Jing-Rong (Graduate School, Seoul National University) ;
  • Sung, Sun-Yong (Interdisciplinary Program in Landscape Architecture, Seoul National University) ;
  • Lee, Dong-Ku (Department of Landscape Architecture and Rural System Engineering, Seoul National University)
  • 투고 : 2017.05.30
  • 심사 : 2017.07.16
  • 발행 : 2017.08.31
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초록

As the "Guidelines for GHG Environmental Assessment" was revised, it pointed out that the developers should evaluate GHG sequestration and storage of the developing site. However, the current guidelines only taking into account the quantitative reduction lost within the development site, and did not consider the qualitative decrease in the carbon sequestration capacity of forest edge produced by developments. In order to assess the quantitative and qualitative effects of vegetation carbon uptake, the CASA-NPP model and satellite image spatial-temporal fusion were used to estimate the annual net primary production in 2005 and 2015. The development projects between 2006 and 2014 were examined for evaluate quantitative changes in development site and qualitative changes in surroundings by development types. The RMSE value of the satellite image fusion results is less than 0.1 and approaches 0, and the correlation coefficient is more than 0.6, which shows relatively high prediction accuracy. The NPP estimation results range from 0 to $1335.53g\;C/m^2$ year before development and from 0 to $1333.77g\;C/m^2$ year after development. As a result of analyzing NPP reduction amount within the development area by type of forest development, the difference is not significant by type of development but it shows the lowest change in the sports facilities development. It was also found that the vegetation was most affected by the edge vegetation of industrial development. This suggests that the industrial development causes additional development in the surrounding area and indirectly influences the carbon sequestration function of edge vegetaion due to the increase of the edge and influx of disturbed species. The NPP calculation method and results presented in this study can be applied to quantitative and qualitative impact assessment of before and after development, and it can be applied to policies related to greenhouse gas in environmental impact assessment.

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