The clear need for accurate landslide susceptibility mapping has led to multiple approaches. Physical models are easily interpreted and have high predictive capabilities but rely on spatially explicit and accurate parameterization, which is commonly not possible. Statistical methods can include other factors influencing slope stability such as distance to roads, but rely on good landslide inven...

The study attempted to compare and evaluate the two landslide hazard assessment models, semi-quantitative (index-based) and statistical regression (bivariate statistical analysis and logit regression) in predicting landslide prone areas in Wahig-Inabanga Watershed, Bohol, Philippines. This was performed by comparing the predictive power of each model based on the frequency distribution of past ...

Landslides often cause economic losses, property damage, and loss of lives. Monitoring landslides using high spatial and temporal resolution imagery and the ability to quickly identify landslide regions are the basis for emergency disaster management. This study presents a comprehensive system that uses unmanned aerial vehicles (UAVs) and Semi-Global dense Matching (SGM) techniques to identify ...

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...

Landslides are the most recurrent and prominent disaster in Sri Lanka. Sri Lanka has been subjected to a number of extreme landslide disasters that resulted in a significant loss of life, material damage, and distress. It is required to explore a solution towards preparedness and mitigation to reduce recurrent losses associated with landslides. Artificial Neural Networks (ANNs) are now widely u...

Title of Document: IDENTIFYING LANDSLIDE HAZARDS IN A TROPICAL MOUNTAIN ENVIRONMENT, USING GEOMORPHOLOGIC AND PROBABILISTIC APPROACHES José Gregorio Roa-Lobo PhD, 2007 Directed By: Prof. Michael Kearney, Department of Geography The objective of this study is the performance, assessing, comparison and validation of a set of three landslide hazard maps: The geomorphological, the multicriteria eva...