Noviello, Carlo; Verde, Simona; Zamparelli, Virginia; Fornaro, Gianfranco; Pauciullo, Antonio; Reale, Diego; Nicodemo, Gianfranco; Ferlisi, Settimio; Gulla, Giovanni; Peduto, Dario, 2020, Monitoring Buildings at Landslide Risk With SAR_ A Methodology Based on the Use of Multipass Interferometric Data, Geoscience and Remote Sensing Magazine, IEEE 8 (2020): 91–119. doi_10.1109/MGRS.2019.2963140,
URL: http://www.cnr.it/prodotto/i/428045

Interferometric methods are drivers of the recent exponential growth in the use of synthetic aperture radar (SAR) for monitoring both natural and anthropogenic hazards. Since the first use of interferometric SAR (InSAR) in the late 1990s to detect deformations associated with earthquakes and volcanoes, important developments have improved sensor performance and data-processing capabilities for the extraction of information of interest in geophysical applications. Here, we describe the improvements that have enabled the 3D reconstruction and monitoring of buildings, with reference to their protection against and prevention of risks. We focus on buildings affected by systematic displacements related to natural hazards-specifically, landslides. We address the straightforward use of InSAR methods in the detection and characterization of the hazard as well as in higher-level exploitation for geotechnical and structural studies and, more generally, vulnerability analysis.

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