Evaluation of the SBAS InSAR Service of the European Space Agency’s Geohazard Exploitation Platform (GEP)

The analysis of remote sensing data to assess geohazards is being improved by web-based platforms and collaborative projects, such as the Geohazard Exploitation Platform (GEP) of the European Space Agency (ESA). This paper presents the evaluation of a surface velocity map that is generated by this p...

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Detalles Bibliográficos
Autores: Galve, Jorge Pedro, Pérez-Peña, José Vicente, Azañón, José Miguel, Closson, Damien, Caló, Fabiana, Reyes-Carmona, Cristina, Jabaloy, Antonio, Ruano, Patricia, Mateos Ruiz, Rosa María, Notti, Davide, Herrera García, Gerardo, Béjar Pizarro, Marta, Monserrat, Oriol, Bally, Philippe
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:10261/276705
Acceso en línea:http://hdl.handle.net/10261/276705
https://doi.org/10.3390/rs9121291
Access Level:acceso abierto
Palabra clave:DInSAR
Geohazard Exploitation Platform
Satellite Based Augmentation System
Landslides
human-induced subsidence
hazard identification
Descripción
Sumario:The analysis of remote sensing data to assess geohazards is being improved by web-based platforms and collaborative projects, such as the Geohazard Exploitation Platform (GEP) of the European Space Agency (ESA). This paper presents the evaluation of a surface velocity map that is generated by this platform. The map was produced through an unsupervised Multi-temporal InSAR (MTI) analysis applying the Parallel-SBAS (P-SBAS) algorithm to 25 ENVISAT satellite images from the South of Spain that were acquired between 2003 and 2008. This analysis was carried out using a service implemented in the GEP called “SBAS InSAR”. Thanks to the map that was generated by the SBAS InSAR service, we identified processes not documented so far; provided new monitoring data in places affected by known ground instabilities; defined the area affected by these instabilities; and, studied a case where GEP could have been able to help in the forecast of a slope movement reactivation. This amply demonstrates the reliability and usefulness of the GEP, and shows how web-based platforms may enhance the capacity to identify, monitor, and assess hazards that are associated to geological processes.