نتایج جستجو برای: landslide zonation
تعداد نتایج: 8421 فیلتر نتایج به سال:
A methodology for landslide susceptibility mapping using an integrated remote sensing and GIS approach is presented. A part of the Darjeeling Himalaya was selected for the model execution. IRS satellite data, topographic maps, field data, and other informative maps were used as inputs to the study. Important terrain factors, contributing to landslide occurrences in the region, were identified a...
Liechtenstein has faced an increasing number of natural hazards over recent decades: debris flows, slides, snow avalanches and floods repeatedly endanger the local infrastructure. Geomorphological field mapping and geoelectrical profiling was used to assess hazards near Malbun, a village potentially endangered by landslides, and especially debris flows. The area is located on the tectonic conta...
This paper presents an integrated approach to landslide research based on remote sensing and sensor networks. This approach is composed of three important parts: (i) landslide susceptibility mapping using remote-sensing techniques for susceptible determination of landslide spots; (ii) scaled-down landslide simulation experiments for validation of sensor network for landslide monitoring, and (ii...
چکیده ندارد.
Environmental hazards are considered as one of the factors threatening human societies. Identification areas susceptible landslides risk assessment of natural hazards and management of are the essential steps in the city's watershed. The purpose of this study is landslides hazard zonation in Izeh urban watersheds of East Khuzestan. In this research First, eight layers effective in landslid...
Abstract Landslide risk analysis is a common geotechnical evaluation and it aims to protect life infrastructure. In the case of sensitive clay zones, landslides can affect large areas are difficult predict. Here we propose methodology determine landslide hazard across territory, apply our approach Saint-Jean-Vianney area, Quebec, Canada. The initial step consists creating 3D model surficial dep...
In this research, machine learning algorithms were compared in a landslide-susceptibility assessment. Given the input set of GIS layers for the Starča Basin, which included geological, hydrogeological, morphometric, and environmental data, a classification task was performed to classify the grid cells to: (i) landslide and non-landslide cases, (ii) different landslide types (dormant and abandon...
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