The development of landslide susceptibility maps is of great importance due to rapid urbanization. The purpose of this study is to present a method to integrate the subjective weight with objective weight for regional landslide susceptibility mapping on the geographical information system (GIS) platform. The analytical hierarchy process (AHP), which is subjective, was employed to weight predict...

The objective of this study is to investigate a potential application of the Adaptive Neuro-Fuzzy Inference System (ANFIS) and the Geographic Information System (GIS) as a relatively new approach for landslide susceptibility mapping in the Hoa Binh province of Vietnam. Firstly, a landslide inventory map with a total of 118 landslide locations was constructed from various sources. Then the lands...

Urban areas adjacent to surface water are exposed to soil movements such as erosion and slope failures (landslides). A landslide is a potential mechanism for mobilisation and spreading of pollutants. This mechanism is in general not included in environmental risk assessments for contaminated sites, and the consequences associated with contamination in the soil are typically not considered in la...

In the framework of the on-going SLAM project (Service for Landslide Monitoring), funded by the European Space Agency (ESA) the Permanent Scatterers processing and the analysis of high resolution images (e.g. SPOT5) have been performed at a basin scale, on the whole territory of the Arno River basin (Central Italy). The project aims at the development of a service based on the integration of EO...

Shallow landslides, triggered by extreme rainfall, are a significant hazard in mountainous landscapes. The hazard posed by shallow landslides depends on the availability and strength of colluvial material in landslide source areas and the frequency and intensity of extreme rainfall events. Here we investigate how the time taken to accumulate colluvium affects landslide triggering rate in the So...

Near-real-time monitoring of active landslides or landslide-prone hillslopes can provide immediate notification of landslide activity, as well as high-quality data sets for understanding the initiation and movement of landslides. Typical components of ground-based, near-real-time landslide monitoring systems include field sensors, data acquisition systems, remote telemetry, and software for bas...

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...

Landslide is a major natural disaster in India or countries elsewhere where significant portion of landmass is in mountainous areas. For such areas, identification of landslide forms a fundamental input to develop landslide hazard management and mitigation measures. Previously, landslides used to be identified either by manual image interpretation process or by field investigations that demande...

Detecting landslides and monitoring their activity is of great relevance for natural hazard assessment and disaster prevention in hilly areas. Very high resolution optical satellite data is now becoming available, and to evaluate the potential application of these new images to detect ground surface changes as a result of landsliding, in previous work we developed and applied change detection a...

This research presents the results of the GIS-based statistical models for generation of landslide susceptibility mapping using geographic information system (GIS) and remote-sensing data for Cameron Highlands area in Malaysia. Ten factors including slope, aspect, soil, lithology, NDVI, land cover, distance to drainage, precipitation, distance to fault, and distance to road were extracted from ...