The empirical probability for the occurrence of submarine landslides at a given location can be estimated from age dates of past landslides. In this study, tools developed to estimate earthquake probability from paleoseismic horizons are adapted to estimate submarine landslide probability. In both types of estimates, one has to account for the uncertainty associated with age-dating individual e...

In recent years, the economic losses caused by landslides were as high as several billion dollars. Therefore, the study of landslide risk has become a hot topic today. Landslide displacement prediction is a highly nonlinear and extremely complex issue. In most cases, it is difficult to use mathematical models to describe the process clearly. Data mining technology, which uncovers the hidden dat...

Collecting information on landslide occurrence and activity over wide areas is a crucial task for landslide hazard assessment. Field techniques, despite being very precise, are usually not sufficient to achieve this goal, since they mostly provide pointbased measurements. Mainly because of its synoptic view and its capability for repetitive observations, optical (visible-infrared) remotely sens...

The paper aims to produce a landslide susceptibility map by means of multi-criteria decision analysis based on GIS for Qianyang County, Shaanxi Province, China. At first, a detailed landslide inventory map was prepared and fourteen landside conditioning factors were considered: slope aspect, slope angle, altitude, plan curvature, profile curvature, geomorphology, rainfall, STI, TWI, SPI, distan...

This manuscript presents a novel algorithm to automatically detect landslide movement in a forested area using displacements of tree trunks distributed across the landslide surveyed repeatedly using terrestrial laser scanning (TLS). Common landslide monitoring techniques include: inclinometers, global position system (GPS), and interferometric synthetic aperture radar (InSAR). While these techn...

GIS-based Multicriteria Decision Analysis (GIS-MCDA) provides a rich collection of techniques and procedures for landslide susceptibility mapping. In this study landslide susceptibility was evaluated by applying different analytical GIS techniques based on Ordered Weighted Averaging (OWA) criteria. The OWA-MCDA is complemented by a Monte Carlo Simulation (MCS) and a Dempster-Shafer Theory (DST)...

Landslides may pose perceptible tsunami hazards to areas commonly regarded as immune. A large number of historic and prehistoric slope failures have been reported covering a broad range of landslide volumes and resulting tsunamis. Landslide generated tsunamis were investigated in a two-dimensional physical laboratory model based on the generalized Froude similarity. The slide impact characteris...

Landslides are among the most damaging natural hazards in mountainous regions. In this study, landslide hazard zonation was conducted in the Baba Heydar Watershed using logistic statistical regression to determine landslide hazard areas. First, a landslide inventory map was prepared using aerial photograph interpretation and field surveys. Next, ten landslide conditioning factors including alti...

The Three Gorges are the areas in which the geological disasters are very serious. There often happen great landslide disasters, which brings tremendous threat to normal running of the Three Gorge Dam and the properties and lives of the residents in the reservoir. So landslide susceptibility analysis is an important task of prevention and cure of landslides in the Three Gorges. In this paper, l...