The major goal of this research was to explore low cost means by which large tracts of mountainous terrain (~75000 km2) can be screened for landslide-related hazards. For upper Indus watershed study, landslide susceptibility index maps were generated by coupling two main indicators groups: 1) environmental risk factors, which mainly contain slope angle, slope aspect, elevation, lithology maps; and 2) the causative factors, which include seismicity and rainfall. GIS based expert driven weighted overlay and fuzzy logic techniques were adopted to generate susceptibility maps for this preliminary landslide hazard study. The results obtained from this study were validated with landslide inventory mapping and other landslide historic data scattered throughout the upper Indus watershed. This kind of regional level landslide susceptibility mapping can play a vital role in identifying those areas where more detailed assessments of landslide hazards should be undertaken.
- GIS,
- Indus River,
- Remote Sensing,
- Geographic Information Systems,
- Hazards,
- Lithology,
- Maps,
- Watersheds,
- Environmental Risk Factor,
- Fuzzy Logic Techniques,
- Indus River,
- Landslide Inventories,
- Landslide Susceptibility Mapping,
- Fuzzy Mathematics,
- Mountain Region,
- River Basin,
- Slope Angle,
- Indus Basin
Available at: http://works.bepress.com/j-rogers/6/