Development and application of landslide susceptibility analysis techniques using Geographic information system (GIS)

The purpose of this study is to develop landslide susceptibility analysis techniques using Geographic information system (GIS) and apply the newly developed techniques for assessment of landslide susceptibility to two study areas of Yongin and Janghung, Korea. Landslide locations detected from interpretation of aerial photo, and field survey, and topographic, soil, forest, and geological maps of the study area, Yongin, were collected. The data on the locations of landslide, topography, soil, forest and geology were constructed into spatial database using GIS and landslide related 14 factors were extracted from the databases. Finally landslide susceptibility was analyzed using the landslide related factors by probability, logistic regression and neural network methods. In the other study area, Janghung, landslide locations were detected from IRS satellite images by change detection technique, and geological structure of foliation were surveyed and analyzed. As the landslide occurrence factors, location of landslide, geological structure and topography were constructed into spatial database using GIS. With the landslide occurrence factors, landslide susceptibility was assessed by the relation analysis between strike and dip of the foliation, and aspect and slope of the topography. The results of the analysis were verified using the landslide location data. The validation results showed satisfactory agreement between the susceptibility map and landslide location data. GIS was used to analyze vast data efficiently and statistical and neural network programs were used to maintain specialty and accuracy. The result can be used to prevention of hazard, land use planning and construction planning as basic data.