landslide susceptibility mapping
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
... Landslide susceptibility mapping is an important tool to predict the probability of occurrences of landslide areas in hilly ...high-quality landslide prediction models are of paramount ...
22
Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs
... and landslide predisposing factors such as topography are similar to those verified landslides in the ...improved landslide inventory ...for landslide susceptibility mapping utilizing ...
17
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
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
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
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
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
Gis based landslide susceptibility mapping by analytical hierarchy process: a case study, burdur province
... Finally, landslide susceptibility index (LSI) was calculated by a procedure based on the weighted linear ...generate landslide susceptibility maps in Arc GIS Spatial Analyst, classifying areas ...
8
Earthquake-induced landslide-susceptibility mapping using an artificial neural network
... the landslide occurrences were used first to construct a vector-type spatial database using the ARC/INFO GIS software ...Secondly, landslide oc- currence areas were detected during field survey of the study ...
9
GIS Based Landslide Susceptibility Mapping with Application of Analytical Hierarchy Process in District Ghizer, Gilgit Baltistan Pakistan
... The Landslide is a consequence of multifarious interaction within various factors, such as meteorological, geomorphological and ...sources. Landslide susceptibility maps illustrate the comparative ...
16
Landslide Susceptibility Mapping using Weights of Evidence Method in Coonoor Watershed, Niligiris District, Tamilnadu, India
... the landslide-hazard assessment, the important steps are collection of data, extraction of relevant parameters from spatial database followed by evaluation of the landslide susceptibility using the ...
6
Landslide susceptibility mapping using remote sensing data and geographic information system-based algorithms
... in landslide warning systems (Pradhan & Kim, 2016; Chen et ...2017d). Landslide susceptibility models, can support and boost the spatial planning and decisions focused on mitigating ...
74
Landslide susceptibility mapping on a global scale using the method of logistic regression
... global landslide hotspot areas are and what factors can influence the occurrence of ...of landslide hotspots at a macro level, which will help them concentrate on those susceptible areas and form relevant ...
14
Landslide hazard zonation assessment using GIS analysis at the coastal area of Safi (Morocco)
... and susceptibility mapping is an essential component of hazard ...occurring landslide provides fundamental knowledge about the evolution of landscapes and decreasing the risk due to ...for ...
7
GIS-Based Rockfall Susceptibility Zoning in Greece
... have presented a landslide susceptibility mapping at national scale in Italy using the.. 60.[r] ...
32
Spatial prediction of groundwater spring potential mapping based on an adaptive neuro fuzzy inference system and metaheuristic optimization
... potential mapping using bivariate statistical mod- els (Nampak et ...ceptibility mapping (Bui et al., 2016; Termeh et al., 2018) and landslide susceptibility mapping (Chen et ...flood ...
22
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
Statistical approach to storm event-induced landslides susceptibility
... event-induced landslide distribution for an area, deterministic methods are frequently used, while a region’s landslide susceptibility is commonly predicted via a statistical approach based upon ...
20