In this study, we used an Unmanned Aerial Vehicle (UAV) to collect a time series of high-resolution images over four years at seven epochs to assess landslide dynamics. Structure from Motion (SfM) was applied to create Digital Surface Models (DSMs) of the landslide surface with an accuracy of 4–5 cm in the horizontal and 3–4 cm in the vertical direction. The accuracy of the co-registration of s...

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...

Landslides are a common type of natural disaster in mountainous areas. As a result of the comprehensive influences of geology, geomorphology and climatic conditions, the susceptibility to landslide hazards in mountainous areas shows obvious regionalism. The evaluation of regional landslide susceptibility can help reduce the risk to the lives of mountain residents. In this paper, the Shannon ent...

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 objective of this paper is to exploit the potential application of an evidential belief function model to landslide susceptibility mapping at Kuala Lumpur city and surrounding areas using geographic information system (GIS). At first, a landslide inventory map was prepared using aerial photographs, high resolution satellite images and field survey. A total 220 landslides were mapped and an ...

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...