GIS-Based Landslide Susceptibility Mapping on the Peloponnese Peninsula, Greece

Geosciences

Christos Chalkias²  Maria Ferentinou¹ 

[1] Department of Geological Sciences, University of KwaZulu-Natal, Westville, Private Bag X54001, South Africa; E-Mail:;Department of Geography, Harokopio University, El. Venizelou 70, 17671 Athens, Greece; E-Mail:

关键词: landslide susceptibility modeling;    statistical index;    GIS;    Peloponnese;    Greece;   

DOI  :  10.3390/geosciences4030176

来源: mdpi

【 摘 要 】

In this paper, bivariate statistical analysis modeling was applied and validated to derive a landslide susceptibility map of Peloponnese (Greece) at a regional scale. For this purpose, landslide-conditioning factors such as elevation, slope, aspect, lithology, land cover, mean annual precipitation (MAP) and peak ground acceleration (PGA), and a landslide inventory were analyzed within a GIS environment. A landslide dataset was realized using two main landslide inventories. The landslide statistical index method (LSI) produced a susceptibility map of the study area and the probability level of landslide occurrence was classified in five categories according to the best classification method from three different methods tested. Model performance was checked by an independent validation set of landslide events. The accuracy of the final result was evaluated by receiver operating characteristics (ROC) analysis. The prediction ability was found to be 75.2% indicating an acceptable susceptibility map obtained from the GIS-based bivariate statistical model.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.