Summary
A comprehensive inventory of over 3,000 shallow landslides triggered by extreme rainfall in the Langhe-Monferrato region (Northwestern Italy) during autumn 2019 reveals that areas with lower rainfall intensity experienced a higher frequency of landslides compared to regions with peak rainfall. This counterintuitive finding is attributed to the differential response of lithological composition to rainfall, highlighting complex interactions between precipitation patterns and geological factors. The study introduces the Open Landslide Project (OLP), an open-source, multisatellite imagery-based inventory designed for geostatistical analysis and landslide risk management. Validated through rigorous criteria and statistical models—including multivariate correlation and Double Pareto probability density function—the OLP demonstrates its effectiveness in susceptibility modeling via binary logistic regression. This research advances the understanding of landslide dynamics in anthropized climates, offering a valuable tool for future risk assessment.
Citation
Licata, M., Buleo Tebar, V., Seitone, F., & Fubelli, G. (2023). The Open Landslide Project (OLP), a New Inventory of Shallow Landslides for Susceptibility Models: The Autumn 2019 Extreme Rainfall Event in the Langhe-Monferrato Region (Northwestern Italy). Geosciences, 13(10), 289. https://doi.org/10.3390/geosciences13100289