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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.