Landslide susceptibility mapping (LSM) is making increasing use of GIS-based spatial analysis in combination with multi-criteria evaluation (MCE) methods. We have developed a new multi-criteria decision analysis (MCDA) method for LSM and applied it to the Izeh River basin in south-western Iran. Our method is based on fuzzy membership functions (FMFs) derived from GIS analysis. It makes use of n...

Reasonable prediction of landslide occurrences in a given area requires the choice of an appropriate probability distribution of recurrence time intervals. Although landslides are widespread and frequent in many parts of the world, complete databases of landslide occurrences over large periods are missing and often such natural disasters are treated as processes uncorrelated in time and, theref...

Landslides as major natural geological hazards often result in significant harm to people and property. Between 20 and 31 August, 2002, Typhoon Rusa hit the Gangneung area as a storm associated with heavy rainfall. The maximum daily rainfall amounted to 609 mm, with 80 mm per hour. The consequence was the death of 266 people. Damage to property amounted to an approximate value of US$ 8 billion....

The often-used success rate (SR) in measuring cell-based landslide model efficiency is based on the ratio of successfully predicted unstable cells over total actual landslide sites without considering the performance in predicting stable cells. We proposed a modified SR (MSR), in which we include the performance of stable cell prediction. The 5 goal and virtue of MSR is to avoid over-prediction...

The ski resort town of St Moritz, Switzerland, is partially constructed on a large creeping landslide, which has been causing damage to buildings and infrastructure. At the town centre, the landslide is constrained by a rock outcrop, creating a compression zone in the sliding mass. After decades of gradual slowing down,s in the beginning of 1990s the landslide started to accelerate, in spite of...

Landslide scar location is fundamental for the risk management process, e.g., it allows mitigation of these areas, decreasing the associated hazards for the population. Remote sensing data usage is an essential tool for landslide identification, mapping, and monitoring. Despite its potential use for landslide risk management, remote sensing usage does have a few drawbacks. The aforementioned ev...

Background: In the last few decades, the development of Geographical Information Systems (GIS) technology has provided a method for the evaluation of landslide susceptibility and hazard. Slope units were found to be appropriate for the fundamental morphological elements in landslide susceptibility evaluation. Results: Following the DEM construction in a loess area susceptible to landslides, the...

Landslides triggered by rainfall can possibly be foreseen in real time by jointly using rainfall intensity-duration thresholds and information related to land surface susceptibility. However, no system exists at either a national or a global scale to monitor or detect rainfall conditions that may trigger landslides due to the lack of sufficient ground-based observing network in many parts of th...

s: Thematic Session – Landslide, Avalanche and Other Mass Movements 1 THEMATIC SESSION A2: LANDSLIDE, AVALANCHE AND OTHER MASS MOVEMENTS Chairperson: Dr. R. K. Bhandari Chairman, Centre for Disaster Mitigation and Management Vellore Institute of Technology Vellore, Tamil Nadu