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: Solari, Lorenzo, Barra, Anna, Herrera García, Gerardo, Bianchini, Silvia, Monserrat, Oriol, Béjar Pizarro, Marta, Crosetto, Michele, Sarro Trigueros, Roberto, Moretti, Sandro
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/277056
Acceso en línea:http://hdl.handle.net/10261/277056
https://doi.org/10.1080/19475705.2017.1413013
Access Level:acceso abierto
Palabra clave:InSAR
Sentinel-1 satellite
impact assessment analysis
Geohazards
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.