The current study presents the results of a landslide susceptibility model applied in the Region of Epirus, Greece. Initially, a detailed archive of 286 active landslides was created for the research area. Furthermore, four basic landslide predisposing factors were selected, geology, slope angle, elevation and land use, as they contribute to the landslide susceptibility assessment. The susceptibility assessment was based on the analysis of the relationships between the above factors and the occurrences of landslides applying the Frequency Ratio (FR) prediction model. FR is a statistical model of bivariate analysis that performs reliability tests on the results and is internationally accepted to quantitatively describe susceptibility. When FR>1 the class of the factor contributes strongly to the landslide event.
After completing the previous calculations, the final degree of landslide susceptibility was assigned through the Landslide Susceptibility Index (LSI). As the value of LSI increases so does susceptibility. In this way, five different susceptibility scenarios and relevant maps were performed for the study area, and all of them were evaluated for their ability to classify the landslides in the various susceptibility zones, in a satisfactory way.
By comparing the results, the most suitable model proved to be the one in which the slope angle is absent as it had the highest percentage of landslides coinciding with the three highest susceptibility classes. This led to the creation of a landslide susceptibility map for the entire Region of Epirus, that can be used for the assessment of landslide hazard and risk on a regional scale.