Landslide Susceptibility
Shallow landslide susceptibility : modelling and validation
... most landslide hazard (or susceptibility) assess- ments were based on geomorphic and geologic analysis from interpretation of aerial photographs and field observations; that is using qualitative ...
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On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach
... high landslide susceptibility, (ii) exhibiting a high population den- sity and (iii) lacking alternative routes on the rural network due to the mountain orography makes Vorarlberg a perfect case ...
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Landslide susceptibility mapping on a global scale using the method of logistic regression
... global landslide susceptibility and ...existing landslide suscepti- bility map of the ...global landslide susceptibility map using the weights combination obtained ...global ...
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Multi Resolution Landslide Susceptibility Analysis Using a DEM and Random Forest
... of landslide occurrences [1]. Landslide susceptibility (LS) deals with the likelihood of landslide occur- rence in an area on the basis of local terrain conditions ...in landslide ...
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Evaluating performance of simplified physically based models for shallow landslide susceptibility
... for landslide sus- ceptibility analysis (LSA) represents one model configura- tion within the more general NewAge-JGrass ...for landslide susceptibility mapping and procedures for landslide ...
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Landslide susceptibility mapping using logistic regression analysis in Latyan catchment
... in landslide susceptibility is the topographic wetness index (TWI) which measures the degree of accumulation of water at a site (Pourghasemi et ...produce landslide susceptibility map using ...
11
Effective surveyed area and its role in statistical landslide susceptibility assessments
... the landslide susceptibility value assigned to each mapping unit, it is pos- sible to run multiple instances of the LR model varying, randomly, the input ...of landslide spatial occurrence for each ...
15
The propagation of inventory-based positional errors into statistical landslide susceptibility models
... in landslide susceptibility (see OR in ...(1 landslide per km 2 ) since the respec- tive models accounted for the fact that the Flysch Zone is considerably steeper (mean slope ...though ...
17
Technical Note: Assessing predictive capacity and conditional independence of landslide predisposing factors for shallow landslide susceptibility models
... best landslide susceptibility model was selected on the basis of a threshold of 60 % for the Agterberg and Cheng Conditional Independence Test (Agterberg and Cheng, ...three landslide predisposing ...
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Effect of Landslide Factor Combinations on the Prediction Accuracy of Landslide Susceptibility Maps in the Blue Nile Gorge of Central Ethiopia
... seven landslide factors (except distance from river) and the combination from four landslide factors (slope, lithology, land use and distance from lineament) showed the same prediction accuracy of ...four ...
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Coseismic landslide susceptibility assessment using geographic information system
... The enhancement of remote sensing (RS) and geographic information system (GIS) technology have successfully an- swered this problem. With rapid computation capacities and relatively low cost, RS and GIS provide good ...
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Landslide susceptibility assessment considering landslide typology. A case study in the area north of Lisbon (Portugal)
... nature, landslide susceptibility evaluation is a complex, multivariate problem involving extrapolation of local data to larger ...in landslide identification and map- ping, in the ...
10
Landslide susceptibility map refinement using PSInSAR data
... in landslide-prone areas (Gorsevski et al., 2006). Landslide susceptibility maps can be produced using several methods and techniques available in the literature, often using geographic information ...
14
Integrated Physically based System for Modeling Landslide Susceptibility
... for landslide susceptibility evaluation is based on three main components: a hydrological model for soil suction and soil water content estimate, a component for the computation of the factor of safety ...
9
Landslide susceptibility on selected slopes in Dzanani, Limpopo Province, South Africa
... Inherent soil properties and anthropogenic activities on slope faces are considered potential recipes for landslide occurrence. The objectives of this study were to physically characterise unconsolidated soils and ...
7
Landslide Susceptibility Estimation Using GIS Evritania Prefecture: A Case Study in Greece
... the landslide-susceptibility analysis results were verified using the existing landslide locations in the study area and “ROC” (Receiver Operating Characteristics) ...a landslide area from ...
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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, ...
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Application of a hybrid model of neural networks and genetic algorithms to evaluate landslide susceptibility
... on landslide susceptibility using ANNs, it was noted that the weights were randomly se- lected and that the optimization cannot be carried out for global ...evaluate landslide suscep- tibility for ...
12
LAND-SE: a software for statistically based landslide susceptibility zonation, version 1.0
... evaluate landslide susceptibility from basin (medium) to re- gional scale (small to very small ...of landslide and environmental input data. In the field of landslide susceptibility ...
11
Earthquake-induced landslide-susceptibility mapping using an artificial neural network
... To verify and compare the landslide-susceptibility maps, the existing ground acceleration map (Fig. 3) was used. Al- though ground-motion hazard studies for the Philippines were made (Tenhaus et al., 1994) ...
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