A GIS-Based Procedure for Landslide Intensity Evaluation and Specific risk Analysis Supported by Persistent Scatterers Interferometry (PSI)

• Published in: Remote sensing (Basel, Switzerland) Vol. 9; no. 11; p. 1093
• Main Authors: Bianchini, Silvia, Solari, Lorenzo, Casagli, Nicola
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2017
• Subjects: C band; Cybersecurity; Data processing; Environmental risk; Geographic information systems; Geologists; GIS; Ground motion; intensity; Interferometry; Landslides; Landslides & mudslides; Parameterization; Persistent Scatterers Interferometry; Remote sensing; Risk analysis; Risk factors; Satellite navigation systems; specific risk; Territory; Vulnerability; Zonation
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs9111093

The evaluation of landslide specific risk, defined as the expected degree of loss due to landslides, requires the parameterization and the combination of a number of socio-economic and geological factors, which often needs the interaction of different skills and expertise (geologists, engineers, planners, administrators, etc.). The specific risk sub-components, i.e., hazard and vulnerability of elements at risk, can be determined with different levels of detail depending on the available auxiliary data and knowledge of the territory. These risk factors are subject to short-term variations and nowadays turn out to be easily mappable and evaluable through remotely sensed data and GIS (Geographic Information System) tools. In this work, we propose a qualitative approach at municipal scale for producing a “specific risk” map, supported by recent satellite PSI (Persistent Scatterer Interferometry) data derived from SENTINEL-1 C-band images in the spanning time 2014–2017, implemented in a GIS environment. In particular, PSI measurements are useful for the updating of a landslide inventory map of the area of interest and are exploited for the zonation map of the intensity of ground movements, needed for evaluating the vulnerability over the study area. Our procedure is presented throughout the application to the Volterra basin and the output map could be useful to support the local authorities with updated basic information required for environmental knowledge and planning at municipal level. Moreover, the proposed procedure is easily managed and repeatable in other case studies, as well as exploiting different SAR sensors in L- or X-band.