During the last decade a pressing need for more adequate tools to manage the considerable increasing number of hydrogeological emergencies arose among land planning and civil protection authorities. As a consequence, both development and testing of different qualitative and quantitative methods for landslide displacements detection become fundamental in order to provide the best analysis performance in terms of cost-benefit and scientific reliability. Lately quantitative methods to measure deformations of unstable slopes had great advances. In this context, remotely sensed radar techniques, such as PSI (Persistent Scatterers Interferometry), can assist traditional landslide investigations in assessing ground and infrastructure deformations caused by large landslides. The main purpose of this study is exploiting the results of PSI analysis conducted over the Island of Malta to train a Bayesan model for evaluating active landslide susceptibility. This approach has been applied in the NW coast of Malta, where outstanding coastal landslides, such as rock spreads and block slides, have been recognized and mapped. The outcomes of the statistical analysis have been validated through specific field check and GNSS measurements. The results show that the developed susceptibility model predicts an acceptable percentage of landslides and can be considered reliable even if in areas without PSI data.
|Data di pubblicazione:||2014|
|Titolo:||Landslide susceptibility analysis exploiting Persistent Scatterers data in the northern coast of Malta|
|Autori:||Mantovani, Matteo; Piacentini, Daniela; Devoto, Stefano; Prampolini, Mariacristina; Pasuto, Alessandro; Soldati, Mauro|
|Data del convegno:||18-19 novembre 2014|
|Nome del convegno:||International Conference "Analysis and Management of Changing Risks for Natural Hazards"|
|Luogo del convegno:||Padova|
|Titolo del libro:||Proceedings of International Conference "Analysis and Management of Changing Risks for Natural Hazards"|
|Appare nelle tipologie:||Relazione in Atti di Convegno|
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