An integrated remote sensing approach for landslide susceptibly mapping at the volcanic islands of Vulcano and Lipari (Eolian Island, Italy)

Silvia Scifoni; José A. Palenzuela Baena; Maria Marsella; Susi Pepe; Eugenio Sansosti; Giuseppe Solaro; Piero Tizzani

doi:10.1117/12.2195060

23 October 2015 An integrated remote sensing approach for landslide susceptibly mapping at the volcanic islands of Vulcano and Lipari (Eolian Island, Italy)

Silvia Scifoni, José A. Palenzuela Baena, Maria Marsella, Susi Pepe, Eugenio Sansosti, Giuseppe Solaro, Piero Tizzani

Author Affiliations +

Proceedings Volume 9642, SAR Image Analysis, Modeling, and Techniques XV; 96420H (2015) https://doi.org/10.1117/12.2195060
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Volcanic Island can be affected by instability phenomena such as landslide and partial collapse events, even in quiescent period. Starting from data collected by an aerial laser scanning survey at cm-level accuracy), a GIS based approach was implemented in order to perform a landslide-susceptibility analysis. The results of this analysis were compared and integrated with data derived from Differential Synthetic Aperture Radar Interferometry (DinSAR) analysis able to identify the most active areas and quantify the on-going deformation processes. The analysis is focused on the on the active volcanic edifice of Vulcano Island and in some areas of Lipari island, both include in the Eaolian Islands in Sicily (Italy). The developed approach represent a step-forward for the compilation of hazard maps furnishing in an overall contest, updated and georeferenced quantitative data, describing the morphology and the present behaviour of the slopes in the area of investigation.

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Silvia Scifoni, José A. Palenzuela Baena, Maria Marsella, Susi Pepe, Eugenio Sansosti, Giuseppe Solaro, and Piero Tizzani "An integrated remote sensing approach for landslide susceptibly mapping at the volcanic islands of Vulcano and Lipari (Eolian Island, Italy)", Proc. SPIE 9642, SAR Image Analysis, Modeling, and Techniques XV, 96420H (23 October 2015); https://doi.org/10.1117/12.2195060

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