Fast physically-based model for rainfall-induced landslide susceptibility assessment at regional scale

CATENA ◽  
2021 ◽  
Vol 201 ◽  
pp. 105213
Author(s):  
Vicente Medina ◽  
Marcel Hürlimann ◽  
Zizheng Guo ◽  
Antonio Lloret ◽  
Jean Vaunat
Keyword(s):  
Landslide Susceptibility ◽  
Regional Scale ◽  
Susceptibility Assessment ◽  
Physically Based Model ◽  
Landslide Susceptibility Assessment ◽  
Physically Based

scholarly journals Exploring the Impact of Analysis Scale on Landslide Susceptibility Modeling: Empirical Assessment in Northern Peloponnese, Greece

Geosciences ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. 261 ◽  
Author(s):  
Christos Polykretis ◽  
Antigoni Faka ◽  
Christos Chalkias
Keyword(s):  
Landslide Susceptibility ◽  
Regional Scale ◽  
Quantitative Model ◽  
Scale Analysis ◽  
Susceptibility Assessment ◽  
Operating Characteristics ◽  
Prediction Ability ◽  
Landslide Susceptibility Assessment ◽  
Analysis Scale ◽  
The Impact

The main purpose of this study is to explore the impact of analysis scale on the performance of a quantitative model for landslide susceptibility assessment through empirical analyses in the northern Peloponnese, Greece. A multivariate statistical model like logistic regression (LR) was applied at two different scales (a regional and a more detailed scale). Due to this scale difference, the implementation of the model was based on two landslide inventories representing in a different way the landslide occurrence (as point and polygon features), and two datasets of similar geo-environmental factors characterized by a different size of grid cells (90 m and 20 m). Model performance was tested by a standard validation method like receiver operating characteristics (ROC) analysis. The validation results in terms of accuracy (about 76%) and prediction ability (Area under the Curve (AUC) = 0.84) of the model revealed that the more detailed scale analysis is more appropriate for landslide susceptibility assessment and mapping in the catchment under investigation than the regional scale analysis.

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