A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS
In a country with diverse geologic, topographic and climatic conditions such as Iran, landslides are frequent phenomena. The aim of this study is to perform a landslide susceptibility assessment at Haraz watershed, Iran using two different approaches such as Dempster–Shafer and Weights-of-evidence m...
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| Format: | Article |
| Language: | English |
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Taylor & Francis
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/28535/1/A%20comparative%20assessment%20of%20prediction%20capabilities%20of%20Dempster%E2%80%93Shafer%20and%20Weights-of-evidence%20models%20in%20landslide%20susceptibility%20mapping%20using%20GIS.pdf |
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| author | Pourghasemi, Hamid Reza Pradhan, Biswajeet Gokceoglu, Candan Moezzi, Kimia Deylami |
| author_facet | Pourghasemi, Hamid Reza Pradhan, Biswajeet Gokceoglu, Candan Moezzi, Kimia Deylami |
| author_sort | Pourghasemi, Hamid Reza |
| collection | UPM |
| description | In a country with diverse geologic, topographic and climatic conditions such as Iran, landslides are frequent phenomena. The aim of this study is to perform a landslide susceptibility assessment at Haraz watershed, Iran using two different approaches such as Dempster–Shafer and Weights-of-evidence models in GIS. First, a landslide inventory map was prepared using the landslide occurrence data by interpreting aerial photographs and field surveys. Second, thematic maps including lithology, altitude, and land-use are prepared in GIS. A total 11 landslide conditioning factors are considered such as slope angle, aspect, altitude, distance from drainage, distance from road, distance from river, lithology, land use, topographic wetness index, stream power index and slope-length (LS). The relationship between the conditional factors and the landslides were calculated using both Dempster–Shafer and Weights-of-evidence models. Using the predicted values, landslide susceptibility maps of the study area is produced. For verification, the results of the analyses were then compared with the field-verified landslide locations. Additionally, the receiver operating characteristics (ROC) curves for all landslide susceptibility models were drawn and the area under curve values was calculated. The AUC value of the produced landslide susceptibility maps has been obtained as 72.87% and 79.87% for Dempster–Shafer and Weights-of-evidence models, respectively. The resulting susceptibility maps would be useful for landuse planning and prioritization of efforts for the reduction and mitigation of future landslide hazards in Haraz watershed. |
| first_indexed | 2024-03-06T08:11:48Z |
| format | Article |
| id | upm.eprints-28535 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:11:48Z |
| publishDate | 2013 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | upm.eprints-285352016-04-18T06:46:18Z http://psasir.upm.edu.my/id/eprint/28535/ A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS Pourghasemi, Hamid Reza Pradhan, Biswajeet Gokceoglu, Candan Moezzi, Kimia Deylami In a country with diverse geologic, topographic and climatic conditions such as Iran, landslides are frequent phenomena. The aim of this study is to perform a landslide susceptibility assessment at Haraz watershed, Iran using two different approaches such as Dempster–Shafer and Weights-of-evidence models in GIS. First, a landslide inventory map was prepared using the landslide occurrence data by interpreting aerial photographs and field surveys. Second, thematic maps including lithology, altitude, and land-use are prepared in GIS. A total 11 landslide conditioning factors are considered such as slope angle, aspect, altitude, distance from drainage, distance from road, distance from river, lithology, land use, topographic wetness index, stream power index and slope-length (LS). The relationship between the conditional factors and the landslides were calculated using both Dempster–Shafer and Weights-of-evidence models. Using the predicted values, landslide susceptibility maps of the study area is produced. For verification, the results of the analyses were then compared with the field-verified landslide locations. Additionally, the receiver operating characteristics (ROC) curves for all landslide susceptibility models were drawn and the area under curve values was calculated. The AUC value of the produced landslide susceptibility maps has been obtained as 72.87% and 79.87% for Dempster–Shafer and Weights-of-evidence models, respectively. The resulting susceptibility maps would be useful for landuse planning and prioritization of efforts for the reduction and mitigation of future landslide hazards in Haraz watershed. Taylor & Francis 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28535/1/A%20comparative%20assessment%20of%20prediction%20capabilities%20of%20Dempster%E2%80%93Shafer%20and%20Weights-of-evidence%20models%20in%20landslide%20susceptibility%20mapping%20using%20GIS.pdf Pourghasemi, Hamid Reza and Pradhan, Biswajeet and Gokceoglu, Candan and Moezzi, Kimia Deylami (2013) A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS. Geomatics, Natural Hazards and Risk, 4 (2). pp. 93-118. ISSN 1947-5705; ESSN: 1947-5713 10.1080/19475705.2012.662915 |
| spellingShingle | Pourghasemi, Hamid Reza Pradhan, Biswajeet Gokceoglu, Candan Moezzi, Kimia Deylami A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS |
| title | A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS |
| title_full | A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS |
| title_fullStr | A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS |
| title_full_unstemmed | A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS |
| title_short | A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS |
| title_sort | comparative assessment of prediction capabilities of dempster shafer and weights of evidence models in landslide susceptibility mapping using gis |
| url | http://psasir.upm.edu.my/id/eprint/28535/1/A%20comparative%20assessment%20of%20prediction%20capabilities%20of%20Dempster%E2%80%93Shafer%20and%20Weights-of-evidence%20models%20in%20landslide%20susceptibility%20mapping%20using%20GIS.pdf |
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