This study develops two statistical models for assessing shallow landslide susceptibility at the slope-unit scale in the Aosta Valley (Italy), explicitly accounting for spatial autocorrelation. A shallow landslide inventory was compiled by integrating the Italian Landslide Inventory (IFFI) with the Regional Inventory of Instabilities of the Aosta Valley and used as a binary response variable. Geo-environmental predictors were...

The overarching goal of the study was the development of a potentially dynamic rockfall susceptibility model by including climate predictors. The work is based on previously defined critical thresholds relating three climate indices — effective water inputs (EWI), wet-dry cycles (WD) and freeze–thaw cycles (FT) — and rockfall occurrence. The pilot area is located in the Aosta Valley region (Italian Western Alps). The susceptib...

This study exploited the historical rockfall inventory and the meteorological stations database of Mont Cervin and Mont Emilius Mountain Communities (Aosta Valley, northern Italy) to decipher relationships between climate processes, typical of mountain environments and rockfall phenomena. The period from 1990 to 2018 was selected as reference to perform the analysis. Climate processes were translated into four climate indices,...