GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)

摘要: The aim of this study is to produce landslide susceptibility mapping by probabilistic likelihood ratio (PLR) and spatial multi-criteria evaluation (SMCE) models based on geographic information system (GIS) in the north Tehran metropolitan, Iran. locations area were identified interpretation aerial photographs, satellite images, field surveys. In order generate necessary factors for SMCE approach, remote sensing GIS integrated techniques applied area. Conditioning such as slope degree, aspect, altitude, plan curvature, profile surface ratio, topographic position index, wetness stream power length, lithology, land use, normalized difference vegetation distance from faults, rivers, roads, drainage density are used mapping. Of 528 locations, 70 % mapping, remaining 30 validation maps. Using above conditioning factors, was calculated using PLR models, results plotted ILWIS-GIS. Finally, two maps validated receiver operating characteristic curves seed cell index methods. showed that under curve 76.16 80.98 %, respectively. obtained also model performed slightly better than evaluation. These can be preliminary use planning hazard mitigation purpose.