The main goals of this work concern the characterization of slow-moving landslides (in terms of both geometrical and kinematical issues) and the estimation of the vulnerability of structures (e.g., buildings) and/or infrastructure (e.g., roads) interacting with them. These goals represent key steps for quantifying the risk to facilities provided that reliable input data are available. The latter profitably include information gathered from non-invasive spaceborne remote monitoring (e.g., Differential Interferometric techniques) and virtual surveying (e.g., Google Street view imagery) to be integrated with ancillary multi-source data acquired by adopting geological, geomorphological and geotechnical criteria.

AN INTEGRATED MULTI-SOURCE DATA ANALYSIS FOR THE ASSESSMENT OF CONSEQUENCES ON THE SLOW-MOVING LANDSLIDES-AFFECTED BUILT-UP ENVIRONMENT

Gianfranco Nicodemo
;
Davide Luongo;Luisa Oricchio;Settimio Ferlisi;Dario Peduto
2023-01-01

Abstract

The main goals of this work concern the characterization of slow-moving landslides (in terms of both geometrical and kinematical issues) and the estimation of the vulnerability of structures (e.g., buildings) and/or infrastructure (e.g., roads) interacting with them. These goals represent key steps for quantifying the risk to facilities provided that reliable input data are available. The latter profitably include information gathered from non-invasive spaceborne remote monitoring (e.g., Differential Interferometric techniques) and virtual surveying (e.g., Google Street view imagery) to be integrated with ancillary multi-source data acquired by adopting geological, geomorphological and geotechnical criteria.
2023
9791221048063
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4884032
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