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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Detalles Bibliográficos
Autores: Barra, A, Herrera, G, Bianchini, S, Monserrat, O, Bejar-Pizarro, M, Crosetto, M, Sarro, R, Moretti, S
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Repositorio:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
OAI Identifier:oai:cttc.fundanetsuite.com:p1584
Acceso en línea:https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=1584
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038392729&doi=10.1080%2f19475705.2017.1413013&partnerID=40&md5=4690d53e92beb2f944196e57a38f7c36
Access Level:acceso abierto
Palabra clave:Interferometry
Motion analysis
Radar
Radar imaging
Risk assessment
Risk management
Active deformation
Amount of information
Geo-hazards
Impact assessments
InSAR
Interferometric synthetic aperture radars
SAR(synthetic aperture radar)
Sentinel-1
Synthetic aperture radar
Descripción
Sumario: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. © 2017 The Author(s).