landslide susceptibility mapping (LSM)
Comparative evaluation of GIS-based landslide susceptibility mapping using statistical and heuristic approach for Dharamshala region of Kangra Valley, India
... the landslide sites of Dharamshala region using the field based mapping methods and identified 25 major landslides for correlating with factors such as slope angle, relief, drainage network ...lines ...
16
Landslide susceptibility mapping using logistic regression analysis in Latyan catchment
... the landslide and contributing parameters are needed to construct landslide prediction model (Zhu and Huang, ...map landslide susceptibility in the past (Ayalew and Yamagishi, 2005; Duman et ...
11
GIS and statistical analysis for landslide susceptibility mapping in the Daunia area, Italy
... on landslide susceptibility mapping in the Daunia area (Apulian Apennines, Italy) and achieves this by using a multivariate statistical method and data processing in a Geographical Information System ...
14
Landslide susceptibility mapping using knowledge driven statistical models in Darjeeling District, West Bengal, India
... cause landslide when soil resistance power is lower than the shear force (Refahi 2000; Bouma and Imeson ...For landslide hazard evaluation several qualitative and quantitative methods have been used ...
18
Landslide Susceptibility Mapping for Poulrood Earth Fill Dam Reservoir (The Comparison of Two Methods) Iran, Guilan Province
... A landslide susceptibility map describes areas where landslides are likely to occur in the future by correlating some of the principal factors that contribute to landslides with the past distribution of ...
8
GIS-based earthquake-triggered-landslide susceptibility mapping with an integrated weighted index model in Jiuzhaigou region of Sichuan Province, China
... for landslide sus- ceptibility mapping were proposed, among which the ap- plication of remote sensing associated with GIS modelling techniques became the most popular and effective method (Alexander, 2008; ...
16
Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs
... for landslide susceptibility mapping and modelling (Binaghi et ...to landslide hazard mapping (Lee and Pradhan 2006; Choi et ...Recently, landslide hazard evalu- ation carried ...
17
Knowledge based landslide susceptibility mapping in the Himalayas
... The landslide susceptibility mapping of the study area, carried out by integrating different thematic layers like lithology, geomorphology, slope, lineament, drainage density, proximity to ...
11
Landslide Susceptibility Mapping at Two Adjacent Catchments Using Advanced Machine Learning Algorithms
... in landslide susceptibility mapping ...better landslide susceptibility prediction performance so that 10 × 10 m resolution digital elevation model (DEM) was created from 5 m interval ...
22
Landslide susceptibility mapping by using a geographic information system (GIS) along the China–Pakistan Economic Corridor (Karakoram Highway), Pakistan
... Landslide susceptibility mapping is the spatial predic- tion of landslide occurrence by considering causes of pre- vious events (Guzzetti et ...potential landslide hazard zones through ...
24
Novel GIS based machine learning algorithms for shallow landslide susceptibility mapping
... In recent years, machine learning algorithms have been popularly used for developing quantitative models for spatially predicting landslides. Ada and San [14] applied and compared different machine learning methods, ...
28
Landslide susceptibility mapping using remote sensing data and geographic information system-based algorithms
... Despite providing transparent calculation and also reasonable accuracy, the previous methods of LSMs have been overused and out of date. Therefore, it is highly necessary to explore new methods. In recent years, various ...
74
Landslide Susceptibility Mapping using Weights of Evidence Method in Coonoor Watershed, Niligiris District, Tamilnadu, India
... The landslide inventory map prepared the basis of the method and 102 landslides location taken place in 1978- 79 (Source Geotechnical Cell, Department of Geology and Mining, Government of Tamil Nad u) has been ...
6
GIS Based Landslide Susceptibility Mapping with Application of Analytical Hierarchy Process in District Ghizer, Gilgit Baltistan Pakistan
... Land cover has been considered an important factor in the study because bar- ren slopes are widespread as the vegetation is mainly around the villages and few rangelands are present in the high mountains [7]. The ...
16
GIS-multicriteria evaluation using AHP for landslide susceptibility mapping in Oum Er Rbia high basin (Morocco)
... Eight landslide affecting factors namely slope, drainage, lithology, land use, slope aspect, roads, faults, and elevation were used for landslide analysis in the present ...a landslide hazard ...the ...
12
Which data for quantitative landslide susceptibility mapping at operational scale? Case study of the Pays d’Auge plateau hillslopes (Normandy, France)
... the susceptibility, as it is the most commonly used spatial representation for mod- elling ...case, mapping at the 1 / 10 000 scale leads to work with a 5 m cell ...
20
Landslide susceptibility mapping on a global scale using the method of logistic regression
... Ground motion and extreme precipitation are always an- alyzed as triggering factors of landslides, using data from field surveys and monitoring observations. Landslides are generally triggered by earthquakes or by heavy ...
14
Earthquake-induced landslide-susceptibility mapping using an artificial neural network
... multivariate space of information to another, given a set of data representing that mapping” (Garrett, 1994). The back- propagation training algorithm is the most frequently used neural network method and is the ...
9
Gis based landslide susceptibility mapping by analytical hierarchy process: a case study, burdur province
... a landslide will ...identifying landslide hazard ...Ultimately, landslide susceptibility zones were determined and classified from low to very ...high susceptibility and ...
8
A novel rule based approach in mapping landslide susceptibility
... developing landslide susceptibility mapping (LSM) techniques, resultant maps are often not transparent, and susceptibility rules are barely made ...shaping landslide events at the local ...
20