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Remote Sens. 2017, 9(3), 267; doi:10.3390/rs9030267

Basin Scale Assessment of Landslides Geomorphological Setting by Advanced InSAR Analysis

Earth Sciences Department of Sapienza University of Rome, P.le Aldo Moro 5, 00185 Rome, Italy
NHAZCA S.r.l. Spin-Off of Sapienza University of Rome, via Cori snc, 00177 Rome, Italy
Lyle School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907, USA
Geoservizi S.r.l., Via Luigi e Nicola Marinelli n.2, 86025 Ripalimosani (CB), Italy
Author to whom correspondence should be addressed.
Academic Editors: Chaoying Zhao, Zhong Lu, Richard Gloaguen and Prasad S. Thenkabail
Received: 23 December 2016 / Revised: 8 March 2017 / Accepted: 9 March 2017 / Published: 15 March 2017
(This article belongs to the Special Issue Remote Sensing of Landslides)
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An extensive investigation of more than 90 landslides affecting a small river basin in Central Italy was performed by combining field surveys and remote sensing techniques. We thus defined the geomorphological setting of slope instability processes. Basic information, such as landslides mapping and landslides type definition, have been acquired thanks to geomorphological field investigations and multi-temporal aerial photos interpretation, while satellite SAR archive data (acquired by ERS and Envisat from 1992 to 2010) have been analyzed by means of A-DInSAR (Advanced Differential Interferometric Synthetic Aperture Radar) techniques to evaluate landslides past displacements patterns. Multi-temporal assessment of landslides state of activity has been performed basing on geomorphological evidence criteria and past ground displacement measurements obtained by A-DInSAR. This step has been performed by means of an activity matrix derived from information achieved thanks to double orbital geometry. Thanks to this approach we also achieved more detailed knowledge about the landslides kinematics in time and space. View Full-Text
Keywords: landslide; state of activity; synthetic aperture radar interferometry; Persistent Scatterers; ERS; Envisat landslide; state of activity; synthetic aperture radar interferometry; Persistent Scatterers; ERS; Envisat

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bozzano, F.; Mazzanti, P.; Perissin, D.; Rocca, A.; De Pari, P.; Discenza, M.E. Basin Scale Assessment of Landslides Geomorphological Setting by Advanced InSAR Analysis. Remote Sens. 2017, 9, 267.

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