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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6773949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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