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Perspectives on the prediction of catastrophic slope failures from satellite InSAR

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 b...

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Autores principales: Carlà, Tommaso, Intrieri, Emanuele, Raspini, Federico, Bardi, Federica, Farina, Paolo, Ferretti, Alessandro, Colombo, Davide, Novali, Fabrizio, Casagli, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773949/
https://www.ncbi.nlm.nih.gov/pubmed/31575983
http://dx.doi.org/10.1038/s41598-019-50792-y
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author Carlà, Tommaso
Intrieri, Emanuele
Raspini, Federico
Bardi, Federica
Farina, Paolo
Ferretti, Alessandro
Colombo, Davide
Novali, Fabrizio
Casagli, Nicola
author_facet Carlà, Tommaso
Intrieri, Emanuele
Raspini, Federico
Bardi, Federica
Farina, Paolo
Ferretti, Alessandro
Colombo, Davide
Novali, Fabrizio
Casagli, Nicola
author_sort Carlà, Tommaso
collection PubMed
description 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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spelling pubmed-67739492019-10-04 Perspectives on the prediction of catastrophic slope failures from satellite InSAR Carlà, Tommaso Intrieri, Emanuele Raspini, Federico Bardi, Federica Farina, Paolo Ferretti, Alessandro Colombo, Davide Novali, Fabrizio Casagli, Nicola Sci Rep Article 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. Nature Publishing Group UK 2019-10-01 /pmc/articles/PMC6773949/ /pubmed/31575983 http://dx.doi.org/10.1038/s41598-019-50792-y Text en © 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/.
spellingShingle Article
Carlà, Tommaso
Intrieri, Emanuele
Raspini, Federico
Bardi, Federica
Farina, Paolo
Ferretti, Alessandro
Colombo, Davide
Novali, Fabrizio
Casagli, Nicola
Perspectives on the prediction of catastrophic slope failures from satellite InSAR
title Perspectives on the prediction of catastrophic slope failures from satellite InSAR
title_full Perspectives on the prediction of catastrophic slope failures from satellite InSAR
title_fullStr Perspectives on the prediction of catastrophic slope failures from satellite InSAR
title_full_unstemmed Perspectives on the prediction of catastrophic slope failures from satellite InSAR
title_short Perspectives on the prediction of catastrophic slope failures from satellite InSAR
title_sort perspectives on the prediction of catastrophic slope failures from satellite insar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773949/
https://www.ncbi.nlm.nih.gov/pubmed/31575983
http://dx.doi.org/10.1038/s41598-019-50792-y
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