Showing 1 - 10 of 25
landslides. In order to evaluate the soil slip susceptibility in this area, a physically based model was applied and a GIS … the cohesion of the debris material potentially involved in landsliding). GIS techniques allowed evaluating the effects of …
Persistent link: https://www.econbiz.de/10010995596
quantitative susceptibility maps by joining the one-dimension infinite slope stability model with a raster-based GIS (ILWIS) and … predicted results with actual results using field measurements. The model is very suitable for use in raster GIS because it can …
Persistent link: https://www.econbiz.de/10010995640
-statistics-based methods in a GIS environment. In the first method, widely used in the existing literature, weighting values (Wi) have been …
Persistent link: https://www.econbiz.de/10010996026
parameters derived from satellite imageries, topographic maps, and field work are integrated in the GIS to generate an …
Persistent link: https://www.econbiz.de/10010996481
geographical information system (GIS) environment. A GIS-based landslide inventory map of 748 landslide locations was prepared …
Persistent link: https://www.econbiz.de/10010996521
ArcView 3.2 GIS. The landslide susceptibility has been assessed by computing the weighting values (Wi) for each class of the … results indicate that landslide susceptibility assessment based on a bivariate statistics-based method in a GIS environment …
Persistent link: https://www.econbiz.de/10010996571
, artificial neural network, and geographic information system (GIS) techniques. The methodology applied in ranking slope …
Persistent link: https://www.econbiz.de/10010996577
In the international literature, although considerable amount of publications on the landslide susceptibility mapping exist, geomorphology as a conditioning factor is still used in limited number of studies. Considering this factor, the purpose of this article paper is to implement the...
Persistent link: https://www.econbiz.de/10010846245
The Lushan earthquake with magnitude M <Subscript>s</Subscript> 7.0 (M <Subscript>w</Subscript> 6.6, USGS) in Sichuan Province, China, triggered a large number of landslides, which seriously aggravated the earthquake’s destructive consequences. This paper mainly focuses on the methodology of the urgent landslide susceptibility assessment...</subscript></subscript>
Persistent link: https://www.econbiz.de/10011151611
This study presents a framework for mapping rainfall-induced landslide susceptibility in the Wencheng area of Zhejiang Province, China, using support vector machine (SVM). Seven conditioning factors of elevation, slope, aspect, distance to roads, lithology, land use, and normalized difference...
Persistent link: https://www.econbiz.de/10011241169