Title | ||
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Evaluation of the SBAS InSAR Service of the European Space Agency's Geohazard Exploitation Platform (GEP). |
Abstract | ||
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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. |
Year | DOI | Venue |
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2017 | 10.3390/rs9121291 | REMOTE SENSING |
Keywords | Field | DocType |
DInSAR,GEP,SBAS,landslides,human-induced subsidence,hazard identification | Geohazard,Satellite,Interferometric synthetic aperture radar,Remote sensing,Hazard analysis,GNSS augmentation,Landslide,Geology | Journal |
Volume | Issue | ISSN |
9 | 12 | 2072-4292 |
Citations | PageRank | References |
2 | 0.40 | 11 |
Authors | ||
14 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jorge Pedro Galve | 1 | 9 | 2.77 |
J. V. Pérez-Peña | 2 | 9 | 1.32 |
J. M. Azañón | 3 | 9 | 2.00 |
Damien Closson | 4 | 2 | 1.08 |
Fabiana Calò | 5 | 61 | 7.38 |
Cristina Reyes-Carmona | 6 | 2 | 0.74 |
Antonio Jabaloy | 7 | 2 | 0.40 |
Patricia Ruano | 8 | 2 | 1.08 |
rosa maria mateos | 9 | 40 | 5.16 |
davide notti | 10 | 20 | 2.87 |
G. Herrera | 11 | 108 | 13.15 |
marta bejarpizarro | 12 | 23 | 3.23 |
Monserrat, O. | 13 | 83 | 12.36 |
Philippe Bally | 14 | 8 | 1.69 |