Landslide susceptibility mapping by correlation between topography and geological structure: the Janghung area, Korea

• Published in: Geomorphology (Amsterdam, Netherlands) Vol. 46; no. 3; pp. 149 - 162
• Main Authors: Lee, Saro, Chwae, Ueechan, Min, Kyungduck
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.08.2002; Elsevier
• Subjects: Applied geomorphology; Applied geophysics; Bgi / Prodig; Earth sciences; Earth, ocean, space; Engineering and environment geology. Geothermics; Exact sciences and technology; Geological structure; Geomorphology; GIS; Internal geophysics; Landslide; Natural hazards: prediction, damages, etc; Physical geography; Susceptibility; Far East; Korea; South Korea; GIS; Landslide; Susceptibility; Geological structure; maps; gneisses; Asia; Space remote sensing; landslides; strike; topography; geographic information systems; dip; metamorphic rocks; foliation; landform evolution; Thematic map; Topography; Research technique; Fault; Natural hazards; Geographical information system
• ISSN: 0169-555X; 1872-695X
• DOI: 10.1016/S0169-555X(02)00057-0

The purpose of this study is to develop and apply the technique for landslide susceptibility analysis using geological structure in a Geographic Information System (GIS). In the study area, the Janghung area of Korea, landslide locations were detected from Indian Remote Sensing (IRS) satellite images by change detection, where the geological structure of foliation was surveyed and analysed. The landslide occurrence factors (location of landslide, geological structure and topography) were constructed into a spatial database. Then, strike and dip of the foliation and the aspect and slope of the topography were compared and the results, which were verified using landslide location data, show that foliation of gneiss has a geometrical relation to the joint or fault that leads to a landslide. Using the geometrical relations, the landslide susceptibility was assessed and verified. The verification results showed satisfactory agreement between the susceptibility map and the landslide location data.