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Remote Sens. 2017, 9(12), 1291; https://doi.org/10.3390/rs9121291

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

1
Departamento de Geodinámica, Universidad de Granada, Avda. del Hospicio, s/n, 18010 Granada, Spain
2
Instituto Andaluz de Geofísica (IAG), Universidad de Granada, Calle Profesor Clavera, 12, 18071 Granada, Spain
3
Instituto Andaluz de Ciencias de la Tierra (IACT), CISC-UGR, Av. de las Palmeras, 4, 18100 Armilla, Spain
4
GIM n.v., Philipssite 5 Bus 27, 3001 Leuven, Belgium
5
Istituto per il rilevamento elettromagnetico dell’ambiente, Consiglio Nazionale delle Ricerche, Via Diocleziano, 328, 80124 Napoli, Italy
6
Geohazards InSAR laboratory and Modeling group (InSARlab), Geoscience research department, Geological Survey of Spain (IGME), Alenza 1, 28003 Madrid, Spain
7
National Research Council of Italy, Research Institute for Geo-Hydrological Protection (CNR-IRPI), Strada delle Cacce, 73, 10135 Torino, Italy
8
Centre Tecnològic y Telecomunicacions de Catalunya, Parc Mediterrani de la Tecnologia, Avinguda Carl Friedrich Gauss, 7, 08860 Castelldefels, Spain
9
European Space Agency, Science, Applications and Future Technologies Department, Directorate of Earth Observation Programmes, ESRIN, Via Galileo Galilei snc, I-00044 Frascati, Italy
*
Author to whom correspondence should be addressed.
Received: 27 September 2017 / Revised: 28 November 2017 / Accepted: 7 December 2017 / Published: 11 December 2017
(This article belongs to the Special Issue Radar Interferometry for Geohazards)
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Abstract

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. View Full-Text
Keywords: DInSAR; GEP; SBAS; landslides; human-induced subsidence; hazard identification DInSAR; GEP; SBAS; landslides; human-induced subsidence; hazard identification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Galve, J.P.; Pérez-Peña, J.V.; Azañón, J.M.; Closson, D.; Caló, F.; Reyes-Carmona, C.; Jabaloy, A.; Ruano, P.; Mateos, R.M.; Notti, D.; Herrera, G.; Béjar-Pizarro, M.; Monserrat, O.; Bally, P. Evaluation of the SBAS InSAR Service of the European Space Agency’s Geohazard Exploitation Platform (GEP). Remote Sens. 2017, 9, 1291.

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