A review of statistically-based landslide susceptibility models

• Published in: Earth-science reviews Vol. 180; pp. 60 - 91
• Main Authors: Reichenbach, Paola, Rossi, Mauro, Malamud, Bruce D., Mihir, Monika, Guzzetti, Fausto
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2018
• Subjects: Africa; artificial intelligence; China; geomorphology; India; inventories; Italy; landscapes; Landslide; landslides; Literature review; model uncertainty; model validation; neural networks; Pacific Ocean Islands; prediction; regression analysis; South America; Statistical model; statistical models; Susceptibility zonation; Turkey (country); weight-of-evidence; South America; Turkey (country); China; Africa; Italy; Pacific Ocean Islands; India; Literature review; Landslide; Susceptibility zonation; Statistical model

In this paper, we do a critical review of statistical methods for landslide susceptibility modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a landslide occurring in an area depending on local terrain conditions, estimating “where” landslides are likely to occ...