Probabilistic landslide susceptibility and factor effect analysis
 S Lee,
 Jasmi Abdul Talib
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The susceptibility of landslides and the effect of landsliderelated factors at Penang in Malaysia using the geographic information system (GIS) and remote sensing data have been evaluated. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. The factors chosen that influence landslide occurrence were: topographic slope, topographic aspect, topographic curvature and distance from drainage, all from the topographic database; lithology and distance from lineament, taken from the geologic database; land use from Landsat Thermatic Mapper (TM) satellite images; and the vegetation index value from SPOT HRV (HighResolution Visible) satellite images. Landslide hazardous areas were analyzed and mapped using the landslideoccurrence factors employing the probabilityâ€“frequency ratio method using the all factors. To assess the effect of these factors, each factor was excluded from the analysis, and its effect verified using the landslide location data. As a result, all factors had relatively positive effects, except lithology, on the landslide susceptibility maps in the study area.
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 Title
 Probabilistic landslide susceptibility and factor effect analysis
 Journal

Environmental Geology
Volume 47, Issue 7 , pp 982990
 Cover Date
 20050501
 DOI
 10.1007/s002540051228z
 Print ISSN
 09430105
 Online ISSN
 14320495
 Publisher
 SpringerVerlag
 Additional Links
 Keywords

 Landslide
 Frequency ratio
 Effect analysis
 GIS
 Penang
 Malaysia
 Industry Sectors
 Authors

 S Lee ^{(1)}
 Jasmi Abdul Talib ^{(2)}
 Author Affiliations

 1. Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources (KIGAM), 30, GaleongDong, YuseongGu, Daejeon, 305350, Korea
 2. Spatial Data Analysis& Modeling Division, Malaysian Centre For Remote Sensing (MACRES), No.13, Jalan Tun Ismail, 50480, Kuala Lumpur, Malaysia