Nicodemo G., Peduto D., Ferlisi S., Gullà G., Reale D., Fornaro G., 2018, DInSAR data integration in vulnerability analyses of buildings exposed to slow-moving landslides, IEEE IGARSS 2018, pp. 6111–6114, Valencia, 22/07/2019, 27/07/2018,
URL: http://www.cnr.it/prodotto/i/393326

High and very-high resolution remote sensing data provided by the processing of Synthetic Aperture Radar (SAR) images via Differential Interferometry techniques (DInSAR) allow detecting ground surface displacements that can be used in monitoring/control of urban areas and integrated within procedures aimed at analyzing the vulnerability of affected facilities (e.g. structures and infrastructure). In this regard, this paper presents the results of a study that combines DInSAR data and information gathered from damage surveys to buildings interacting with slow-moving landslides. In particular, relationships between cause (DInSAR-derived differential settlements of buildings) and effect (recorded building damages) are retrieved and empirical fragility and vulnerability curves (to be used for damage forecasting purposes) are generated. Considering the encouraging outcomes, the adopted methodological approach can be successfully integrated within a more general framework for the management of slow-moving landslide risk to which urban areas are exposed.

Data from https://intranet.cnr.it/people/