The paper deals with a key step of slow-moving landslide risk analysis such as the vulnerability estimation of the interacting facilities (e.g., buildings, roads) via the exploitation of multi-source multi-temporal data. These latter include information gathered from conventional multi-source (geological, geomorphological and geotechnical) data, which are integrated with non-invasive spaceborne remote sensing monitoring (e.g., Differential Interferometric techniques), in-situ and virtual surveying (e.g., Google Street view imagery). The approach proposed in this work relies on the methodological frameworks developed by the authors within a 20-year multidisciplinary research activity. Two case studies in Calabria region (southern Italy) affected by several slow-moving landslides, which caused damage to the built environment, were selected. The analysis of the available monitoring data allowed i) characterizing slow-moving landslides and ii) generating predictive tools for estimating the degree of loss (inherently related to the expected damage) of the exposed facilities. Once further validated, the proposed circular approach could be part of a procedure for prioritizing building/road (extraordinary) maintenance activities and scheduling/implementing risk mitigation measures.

Multi-source data analysis in slow-moving landslide-affected built-up environment: case studies in Calabria region (southern Italy)

Dario Peduto
;
Gianfranco Nicodemo;Davide Luongo;Settimio Ferlisi;
2024-01-01

Abstract

The paper deals with a key step of slow-moving landslide risk analysis such as the vulnerability estimation of the interacting facilities (e.g., buildings, roads) via the exploitation of multi-source multi-temporal data. These latter include information gathered from conventional multi-source (geological, geomorphological and geotechnical) data, which are integrated with non-invasive spaceborne remote sensing monitoring (e.g., Differential Interferometric techniques), in-situ and virtual surveying (e.g., Google Street view imagery). The approach proposed in this work relies on the methodological frameworks developed by the authors within a 20-year multidisciplinary research activity. Two case studies in Calabria region (southern Italy) affected by several slow-moving landslides, which caused damage to the built environment, were selected. The analysis of the available monitoring data allowed i) characterizing slow-moving landslides and ii) generating predictive tools for estimating the degree of loss (inherently related to the expected damage) of the exposed facilities. Once further validated, the proposed circular approach could be part of a procedure for prioritizing building/road (extraordinary) maintenance activities and scheduling/implementing risk mitigation measures.
2024
9788673524023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4868196
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