Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites

Abstract 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 geo...

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Autores principales:	Federico Raspini, Silvia Bianchini, Andrea Ciampalini, Matteo Del Soldato, Lorenzo Solari, Fabrizio Novali, Sara Del Conte, Alessio Rucci, Alessandro Ferretti, Nicola Casagli
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f982aef21e204940ba27c59f3e75e01a
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spelling	oai:doaj.org-article:f982aef21e204940ba27c59f3e75e01a2021-12-02T12:32:35ZContinuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites10.1038/s41598-018-25369-w2045-2322https://doaj.org/article/f982aef21e204940ba27c59f3e75e01a2018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25369-whttps://doaj.org/toc/2045-2322Abstract 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.Federico RaspiniSilvia BianchiniAndrea CiampaliniMatteo Del SoldatoLorenzo SolariFabrizio NovaliSara Del ConteAlessio RucciAlessandro FerrettiNicola CasagliNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Federico Raspini Silvia Bianchini Andrea Ciampalini Matteo Del Soldato Lorenzo Solari Fabrizio Novali Sara Del Conte Alessio Rucci Alessandro Ferretti Nicola Casagli Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites
description	Abstract 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	article
author	Federico Raspini Silvia Bianchini Andrea Ciampalini Matteo Del Soldato Lorenzo Solari Fabrizio Novali Sara Del Conte Alessio Rucci Alessandro Ferretti Nicola Casagli
author_facet	Federico Raspini Silvia Bianchini Andrea Ciampalini Matteo Del Soldato Lorenzo Solari Fabrizio Novali Sara Del Conte Alessio Rucci Alessandro Ferretti Nicola Casagli
author_sort	Federico Raspini
title	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_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_sort	continuous, semi-automatic monitoring of ground deformation using sentinel-1 satellites
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/f982aef21e204940ba27c59f3e75e01a
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Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites

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