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| Content Provider | Springer Nature Link |
|---|---|
| Author | Teerarungsigul, Suree Torizin, Jewgenij Fuchs, Michael Kühn, Friedrich Chonglakmani, Chongpan |
| Copyright Year | 2015 |
| Abstract | A landslide susceptibility assessment was conducted for the Yom River catchment, North Thailand, using a weight of evidence approach. In total, 1630 landslide events were detected using remote sensing techniques. An integrated workflow based on robust statistical threshold criteria was applied to reveal the landslide-controlling factors that can be utilised on a regional scale. Initially, approximately 15 different factors were considered within this study. After a sensitivity and plausibility analysis, a final susceptibility map was generated based on the three most essential factors, which fulfilled the statistical requirements of independence, prediction power and plausibility. The final map was subdivided into five susceptibility zones using quantitative classification. The map provides a suitable and reliable starting point for further detailed mass movement analysis in the Yom River Basin and can be used to support strategic spatial planning measures on a regional scale. |
| Starting Page | 1151 |
| Ending Page | 1165 |
| Page Count | 15 |
| File Format | |
| ISSN | 1612510X |
| Journal | Landslides |
| Volume Number | 13 |
| Issue Number | 5 |
| e-ISSN | 16125118 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2015-11-20 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Landslide susceptibility Bayesian statistics Weight of evidence Statistical evaluation Natural Hazards Geography Agriculture Civil Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geotechnical Engineering and Engineering Geology |
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