S
Settimio Ferlisi
Researcher at University of Salerno
Publications - 67
Citations - 1849
Settimio Ferlisi is an academic researcher from University of Salerno. The author has contributed to research in topics: Landslide & Masonry. The author has an hindex of 17, co-authored 66 publications receiving 1457 citations.
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Recommendations for the quantitative analysis of landslide risk
Jordi Corominas,C.J. van Westen,Paolo Frattini,Leonardo Cascini,Jean-Philippe Malet,Stavroula Fotopoulou,Filippo Catani,M. van den Eeckhaut,Olga Mavrouli,Federico Agliardi,Kyriazis Pitilakis,Mike G. Winter,Manuel Pastor,Settimio Ferlisi,Veronica Tofani,Javier Hervás,J.T. Smith +16 more
TL;DR: In this article, the authors present recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results.
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Seasonal effects of rainfall on the shallow pyroclastic deposits of the Campania region (southern Italy)
TL;DR: In this paper, the relationship among in situ soil suction and rainfall conditions and induced slope instability types is discussed, with the goal to reach a better understanding of past events and gain further insight into the analysis and forecasting of future events.
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Empirical fragility and vulnerability curves for buildings exposed to slow-moving landslides at medium and large scales
TL;DR: In this paper, a two-scale (medium and large) procedure for vulnerability assessment of buildings located in areas affected by slow-moving landslides is presented, which leads to the generation, as an absolute novelty, of both empirical fragility and vulnerability curves for buildings in slow moving landslide-affected areas.
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Multi-scale analysis of settlement-induced building damage using damage surveys and DInSAR data: A case study in The Netherlands
TL;DR: In this paper, a multi-scale procedure tailored to analyze the settlement-induced building damage is presented, where the role of soft soils in predisposing the occurrence of ground surface settlements is first investigated.
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The combination of DInSAR and facility damage data for the updating of slow-moving landslide inventory maps at medium scale
TL;DR: In this article, DInSAR data are first analyzed via an innovative approach aimed at enhancing both the exploitation and interpretation of remote sensing information; then, they are complemented with the results of an accurate analysis of survey-recorded damage to facilities due to slow-moving landslides.