Landslide Susceptibility Mapping Using a Spatial Multi Criteria Evaluation Model at Haraz Watershed, Iran

The purpose of this study is to prepare landslide susceptibility map using a spatial multi criteria evaluation approach (SMCE) in a landslide-prone area (Haraz) in Iran. In the first stage, landslide locations were identified in the study area from interpretation of aerial photographs, and field surveys. In the second stage, twelve data layers were used as landslide conditioning factors for susceptibility mapping. These factors are slope, aspect, altitude, lithology, land use, distance from rivers, distance from roads, distance from faults, topographic wetness index, stream power index, stream transport index, and plan curvature. Next, landslide-susceptible areas were analyzed using the SMCE approach and mapped using landslide conditioning factors. For verification, the results of the analyses was 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. Landslide locations were used to validate results of the landslide susceptibility map generated using the SMCE approach and the verification results showed a 76.84% accuracy. According to the results of the AUC evaluation, the produced map has exhibited good performance.

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