Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data

The detection of active movements that could threat the infrastructures and the population is one of the main priorities of the risk management chain. Interferometric Synthetic Aperture Radar (InSAR) techniques represent one of the most useful answers to this task; however, it is difficult to manage...

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Authors: Solari, Lorenzo, Barra, Anna, Herrera García, Gerardo, Bianchini, Silvia, Monserrat, Oriol, Béjar Pizarro, Marta, Crosetto, Michele, Sarro Trigueros, Roberto, Moretti, Sandro
Format: article
Publication Date:2017
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/277056
Online Access:http://hdl.handle.net/10261/277056
https://doi.org/10.1080/19475705.2017.1413013
Access Level:Open access
Keyword:InSAR
Sentinel-1 satellite
impact assessment analysis
Geohazards
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spelling Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR dataSolari, LorenzoBarra, AnnaHerrera García, GerardoBianchini, SilviaMonserrat, OriolBéjar Pizarro, MartaCrosetto, MicheleSarro Trigueros, RobertoMoretti, SandroInSARSentinel-1 satelliteimpact assessment analysisGeohazardsThe detection of active movements that could threat the infrastructures and the population is one of the main priorities of the risk management chain. Interferometric Synthetic Aperture Radar (InSAR) techniques represent one of the most useful answers to this task; however, it is difficult to manage the huge amount of information derived from the interferometric analysis. In this work, we present a procedure for deriving impact assessment maps, over a regional test site, using as starting point Sentinel-1 SAR (Synthetic Aperture Radar) images and a catalogue of elements at risk that acts as a second input of the methodology. We applied the proposed approach, named as Vulnerable Elements Activity Maps (VEAM), to the islands of Gran Canaria, La Gomera and Tenerife (Spain), where we analysed SAR images covering the time interval November 2014–September 2016. The methodology, meant to be a powerful tool for reducing the time needed for a complete analysis of a full stack of InSAR data, is ideally suited for Civil Protection Authorities. The application of the methodology allowed to detect 108 areas affected by active deformation that are threatening one or more elements at risk in 25 municipalities of the three islands.Earth Sciences Department, University of Firenze, ItaliaGeomatics Division, Centre Tecnòlogic de Telecomunicacions de Catalunya, EspañaGeohazards InSAR laboratory and Modelling Group, Departamento de Investigación y Prospectiva Geocientífica, Instituto Geológico y Minero de España, EspañaTaylor & Francis202220222017info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/277056https://doi.org/10.1080/19475705.2017.1413013reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://www.tandfonline.com/doi/full/10.1080/19475705.2017.1413013info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2770562026-05-22T06:33:51Z
dc.title.none.fl_str_mv Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data
title Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data
spellingShingle Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data
Solari, Lorenzo
InSAR
Sentinel-1 satellite
impact assessment analysis
Geohazards
title_short Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data
title_full Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data
title_fullStr Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data
title_full_unstemmed Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data
title_sort Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data
dc.creator.none.fl_str_mv Solari, Lorenzo
Barra, Anna
Herrera García, Gerardo
Bianchini, Silvia
Monserrat, Oriol
Béjar Pizarro, Marta
Crosetto, Michele
Sarro Trigueros, Roberto
Moretti, Sandro
author Solari, Lorenzo
author_facet Solari, Lorenzo
Barra, Anna
Herrera García, Gerardo
Bianchini, Silvia
Monserrat, Oriol
Béjar Pizarro, Marta
Crosetto, Michele
Sarro Trigueros, Roberto
Moretti, Sandro
author_role author
author2 Barra, Anna
Herrera García, Gerardo
Bianchini, Silvia
Monserrat, Oriol
Béjar Pizarro, Marta
Crosetto, Michele
Sarro Trigueros, Roberto
Moretti, Sandro
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv InSAR
Sentinel-1 satellite
impact assessment analysis
Geohazards
topic InSAR
Sentinel-1 satellite
impact assessment analysis
Geohazards
description The detection of active movements that could threat the infrastructures and the population is one of the main priorities of the risk management chain. Interferometric Synthetic Aperture Radar (InSAR) techniques represent one of the most useful answers to this task; however, it is difficult to manage the huge amount of information derived from the interferometric analysis. In this work, we present a procedure for deriving impact assessment maps, over a regional test site, using as starting point Sentinel-1 SAR (Synthetic Aperture Radar) images and a catalogue of elements at risk that acts as a second input of the methodology. We applied the proposed approach, named as Vulnerable Elements Activity Maps (VEAM), to the islands of Gran Canaria, La Gomera and Tenerife (Spain), where we analysed SAR images covering the time interval November 2014–September 2016. The methodology, meant to be a powerful tool for reducing the time needed for a complete analysis of a full stack of InSAR data, is ideally suited for Civil Protection Authorities. The application of the methodology allowed to detect 108 areas affected by active deformation that are threatening one or more elements at risk in 25 municipalities of the three islands.
publishDate 2017
dc.date.none.fl_str_mv 2017
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/277056
https://doi.org/10.1080/19475705.2017.1413013
url http://hdl.handle.net/10261/277056
https://doi.org/10.1080/19475705.2017.1413013
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.tandfonline.com/doi/full/10.1080/19475705.2017.1413013
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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