Integration of InSAR data with Multi-Temporal Inventories for Potential Landslide Hazard Mapping in Belluno Province (Veneto Region, NE, Italy).

Landslides represent a significant geological hazard, particularly in mountainous regions where ground deformations can lead to devastating impacts on infrastructure, ecosystems, and communities. The Belluno Province, situated in the Veneto region of northeastern Italy, is characterized by its complex topography and geological features, rendering it particularly susceptible to landslide occurrences. To mitigate the risks associated with these natural phenomena, effective hazards mapping is essential. This study explores the integration of interferometric synthetic aperture radar (InSAR) data with multi-temporal inventories to enhance the accuracy and reliability of landslide hazard assessments in this region. By leveraging advanced remote sensing techniques alongside landslide data, this research aims to provide a comprehensive spatial analysis that identifies areas at risk and contributes to informed decision-making in land management and disaster mitigation. To this end, considering slope units, the landslide data delineated using orthophotos retrieved from WMS and WMTS services provided by the Italian national portal, covering the period from 1989 to 2021, were analyzed. The analysis focused on the Cordevole and Alpago regions, located in the Belluno province of the northeastern Italian Alps. These areas were affected by two extreme meteorological events with a return period of over 100 years: the first, a windstorm named VAIA, occurred from October 27th to 30th, 2018, and caused significant damage to the forest cover. The second event took place from December 4th to 6th, 2020, also impacting the region. The findings of this integration not only hold implications for local stakeholders but also enhance the broader understanding of landslide dynamics in similar geological contexts.

Acknowledgement:

This study was carried out within the PNRR research activities of the consortium iNEST (Interconnected North-Est Innovation Ecosystem) funded by the European Union Next-Generation EU (Piano Nazionale diRipresa e Resilienza (PNRR) – Missione 4 Componente 2, Investimento 1.5 – D.D. 1058 23/06/2022, ECS_00000043). This manuscript reflects only the Authors’ views and opinions, neither the European Union nor the European Commission can be considered responsible for them.