Landslides susceptibility assessment has to be conducted to identify prone areas and guide risk management. Landslides in Rwanda are very deadly disasters. The current research aimed to conduct landslide susceptibility assessment by applying Spatial Multi-Criteria Evaluation Model with eight layers of causal factors including: slope, distance to roads, lithology, precipitation, soil texture, so...

The main purpose of the present study is to investigate the possible application of decision tree in landslide susceptibility assessment. The study area having a surface area of 174.8 km locates at the northern coast of the Sea of Marmara and western part of Istanbul metropolitan area. When applying data mining and extracting decision tree, geological formations, altitude, slope, plan curvature...

This paper assesses the potentiality of certainty factor models (CF) for the best suitable causative factors extraction for landslide susceptibility mapping in the Sado Island, Niigata Prefecture, Japan. To test the applicability of CF, a landslide inventory map provided by National Research Institute for Earth Science and Disaster Prevention (NIED) was split into two subsets: (i) 70% of the la...

This paper expands the previous efforts by other researchers to present a quantitative and deterministic approach for terrain analysis. This study evaluates both spatial and temporal factors contributing landslides utilizing Light Detection and Ranging (LiDAR) point clouds in conjunction with the frequency ratio model (PFR) than has previously been used in the Alborz Mountains. The study area i...

The high hillsides of the Tehran metropolis are prone to landslides due to the climatic conditions and the geological, geomorphologicalcharacteristics of the region. Therefore, it is vitally important that a landslide susceptibility map of the region be prepared. For thispurpose, thematic layers including landslide inventory, lithology, slope, aspect, curvature, distance to stream, distance to ...

Landslides are significant natural hazards in Turkey, second only to earthquakes with respect to economic losses and casualties. The West Black Sea region of Turkey is known as one of the most landslide-prone regions in the country. The work presented in this paper is aimed at evaluating landslide susceptibility in a selected area in the West Black Sea region using Artificial Neural Network (AN...

Spatial analysis and GIS technology are still seldom used to evaluate and map landslide risk. Especially, few studies concern the automatic mapping of landslide risk at large scales (1:10,000) corresponding to the scale of the legal regulation plans in France. Maquaire et al., Analyse spatiale du risque « glissement de terrain » 2 This paper presents a three-step procedure to map landslide risk...

the high hillsides of the tehran metropolis are prone to landslides due to the climatic conditions and the geological, geomorphologicalcharacteristics of the region. therefore, it is vitally important that a landslide susceptibility map of the region be prepared. for thispurpose, thematic layers including landslide inventory, lithology, slope, aspect, curvature, distance to stream, distance to ...