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Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites
We present the continuous monitoring of ground deformation at regional scale using ESA (European Space Agency) Sentinel-1constellation of satellites. We discuss this operational monitoring service through the case study of the Tuscany Region (Central Italy), selected due to its peculiar geological s...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940901/ https://www.ncbi.nlm.nih.gov/pubmed/29740009 http://dx.doi.org/10.1038/s41598-018-25369-w |
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author | Raspini, Federico Bianchini, Silvia Ciampalini, Andrea Del Soldato, Matteo Solari, Lorenzo Novali, Fabrizio Del Conte, Sara Rucci, Alessio Ferretti, Alessandro Casagli, Nicola |
author_facet | Raspini, Federico Bianchini, Silvia Ciampalini, Andrea Del Soldato, Matteo Solari, Lorenzo Novali, Fabrizio Del Conte, Sara Rucci, Alessio Ferretti, Alessandro Casagli, Nicola |
author_sort | Raspini, Federico |
collection | PubMed |
description | We present the continuous monitoring of ground deformation at regional scale using ESA (European Space Agency) Sentinel-1constellation of satellites. We discuss this operational monitoring service through the case study of the Tuscany Region (Central Italy), selected due to its peculiar geological setting prone to ground instability phenomena. We set up a systematic processing chain of Sentinel-1 acquisitions to create continuously updated ground deformation data to mark the transition from static satellite analysis, based on the analysis of archive images, to dynamic monitoring of ground displacement. Displacement time series, systematically updated with the most recent available Sentinel-1 acquisition, are analysed to identify anomalous points (i.e., points where a change in the dynamic of motion is occurring). The presence of a cluster of persistent anomalies affecting elements at risk determines a significant level of risk, with the necessity of further analysis. Here, we show that the Sentinel-1 constellation can be used for continuous and systematic tracking of ground deformation phenomena at the regional scale. Our results demonstrate how satellite data, acquired with short revisiting times and promptly processed, can contribute to the detection of changes in ground deformation patterns and can act as a key information layer for risk mitigation. |
format | Online Article Text |
id | pubmed-5940901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59409012018-05-14 Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites Raspini, Federico Bianchini, Silvia Ciampalini, Andrea Del Soldato, Matteo Solari, Lorenzo Novali, Fabrizio Del Conte, Sara Rucci, Alessio Ferretti, Alessandro Casagli, Nicola Sci Rep Article We present the continuous monitoring of ground deformation at regional scale using ESA (European Space Agency) Sentinel-1constellation of satellites. We discuss this operational monitoring service through the case study of the Tuscany Region (Central Italy), selected due to its peculiar geological setting prone to ground instability phenomena. We set up a systematic processing chain of Sentinel-1 acquisitions to create continuously updated ground deformation data to mark the transition from static satellite analysis, based on the analysis of archive images, to dynamic monitoring of ground displacement. Displacement time series, systematically updated with the most recent available Sentinel-1 acquisition, are analysed to identify anomalous points (i.e., points where a change in the dynamic of motion is occurring). The presence of a cluster of persistent anomalies affecting elements at risk determines a significant level of risk, with the necessity of further analysis. Here, we show that the Sentinel-1 constellation can be used for continuous and systematic tracking of ground deformation phenomena at the regional scale. Our results demonstrate how satellite data, acquired with short revisiting times and promptly processed, can contribute to the detection of changes in ground deformation patterns and can act as a key information layer for risk mitigation. Nature Publishing Group UK 2018-05-08 /pmc/articles/PMC5940901/ /pubmed/29740009 http://dx.doi.org/10.1038/s41598-018-25369-w Text en © The Author(s) 2018 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 Raspini, Federico Bianchini, Silvia Ciampalini, Andrea Del Soldato, Matteo Solari, Lorenzo Novali, Fabrizio Del Conte, Sara Rucci, Alessio Ferretti, Alessandro Casagli, Nicola Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites |
title | Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites |
title_full | Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites |
title_fullStr | Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites |
title_full_unstemmed | Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites |
title_short | Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites |
title_sort | continuous, semi-automatic monitoring of ground deformation using sentinel-1 satellites |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940901/ https://www.ncbi.nlm.nih.gov/pubmed/29740009 http://dx.doi.org/10.1038/s41598-018-25369-w |
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