Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Landslide Susceptibility Analysis in Jeju Using Artificial Neural Network(ANN) and GIS

인공신경망기법과 GIS를 이용한 제주도 산사태 취약성분석

  • Quan, He-Chun (Department of Civil & Ocean Engineering, Graduate School, Cheju National University) ;
  • Lee, Byung-Gul (Major of Civil & Environmental Engineering, Cheju National University) ;
  • Cho, Eun-Il (Major of Civil & Environmental Engineering, Cheju National University)
  • 권혁춘 (제주대학교 대학원 토목해양공학과) ;
  • 이병걸 (제주대학교 토목환경공학) ;
  • 조은일 (제주대학교 토목환경공학)
  • Published : 2008.06.30
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Abstract

In this study, we implemented landslide distribution of Jeju Island using ANN and GIS, respectively. To do this, we first get the counter line from 1:2,5000 digital map and use this counter line to make the DEM. for the evaluate the land slide susceptibility. Next, we abstracted slop map and aspect map from the DEM and get the land use map using ISODATA classification method from Landsat 7 images. In the computation processes of landslide analysis, we make the class to the soil map, tree diameter map, Isohyet map, geological map and so on. Finally, we applied the ANN method to the landslide one and calculated its weighted values. GIS results can be calculated by using Acrview program and produced Jeju landslide susceptibility map by usign Weighted Overlay method. Based on our results, we found the relatively weak points of landslide ware concentrated to the top of Halla mountains.

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References

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