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| Content Provider | Springer Nature Link |
|---|---|
| Author | Kannan, M. Saranathan, E. Anabalagan, R. |
| Copyright Year | 2012 |
| Abstract | This research paper assesses the vulnerability of landslide for the Bodi-Bodimettu Ghat section, Theni district, Tamil Nadu, India, using remotely sensed data and geographic information system (GIS). Landslide database was generated using IRS-1C satellite LISS III data and aerial photographs accompanied by field investigations using differential global positioning system to generate a landslide inventory map. Topographical, spatial, and field data were processed to construct the spatial thematic layers using image processing and GIS environment. Twelve landslide-inducing factors were used for landslide vulnerability analysis: elevation, slope, aspect, plan curvature, profile curvature, proximity to road, drainage and lineament, land use/land cover, geology, geomorphology, and run-off. The first five factors were derived from digital elevation model, and other thematic layers were prepared from spatial database. Frequency ratio of each factor was computed using the above thematic factors with past landslide locations. Landslide vulnerability map was produced using raster analysis. The landslide vulnerability map was classified into five zones: very low, low, moderate, high, and very high. The model is validated using the relative landslide density index (R-index method). The consistency of R-index indicates good performance of the vulnerability map. |
| Starting Page | 2901 |
| Ending Page | 2913 |
| Page Count | 13 |
| File Format | |
| ISSN | 18667511 |
| Journal | Arabian Journal of Geosciences |
| Volume Number | 6 |
| Issue Number | 8 |
| e-ISSN | 18667538 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2012-05-13 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Frequency ratio Landslide inventory points R-index method GIS Remote sensing Earth Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Environmental Science |
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