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      Perspectives on the prediction of catastrophic slope failures from satellite InSAR

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          Abstract

          We demonstrate the potential of satellite Interferometric Synthetic Aperture Radar (InSAR) to identify precursors to catastrophic slope failures. To date, early-warning has mostly relied on the availability of detailed, high-frequency data from sensors installed in situ. The same purpose could not be chased through spaceborne monitoring applications, as these could not yield information acquired in sufficiently systematic fashion. Here we present three sets of Sentinel-1 constellation images processed by means of multi-interferometric analysis. We detect clear trends of accelerating displacement prior to the catastrophic failure of three large slopes of very different nature: an open-pit mine slope, a natural rock slope in alpine terrain, and a tailings dam embankment. We determine that these events could have been located several days or weeks in advance. The results highlight that satellite InSAR may now be used to support decision making and enhance predictive ability for this type of hazard.

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          Most cited references30

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          Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry

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            A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR

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              A method for prediction of volcanic eruptions

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                Author and article information

                Contributors
                tommaso.carla@unifi.it
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                1 October 2019
                1 October 2019
                2019
                : 9
                : 14137
                Affiliations
                [1 ]ISNI 0000 0004 1757 2304, GRID grid.8404.8, Department of Earth Sciences, , University of Florence, ; Via Giorgio La Pira 4, 50121 Florence, Italy
                [2 ]Geoapp s.r.l., Via Francesco Veracini 30/G, 50144 Florence, Italy
                [3 ]TRE ALTAMIRA, Ripa di Porta Ticinese 79, 20143 Milan, Italy
                Author information
                http://orcid.org/0000-0002-0772-2642
                http://orcid.org/0000-0002-9227-4409
                Article
                50792
                10.1038/s41598-019-50792-y
                6773949
                31575983
                61edec88-48fd-4f9c-8130-b8ae7c588cce
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 January 2019
                : 19 September 2019
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                © The Author(s) 2019

                Uncategorized
                natural hazards,hydrogeology
                Uncategorized
                natural hazards, hydrogeology

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