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Remote Sens. 2018, 10(6), 899; https://doi.org/10.3390/rs10060899

InSAR-Based Mapping to Support Decision-Making after an Earthquake

1
Geohazards InSAR Laboratory and Modeling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Alenza 1, 28003 Madrid, Spain
2
Dpto. Geodinámica, Estratigrafía y Paleontología, Facultad de Geología, Universidad Complutense de Madrid, 28040 Madrid, Spain
3
Dpto. de Ingeniería Topográfica y Cartografía, Universidad Politécnica de Madrid, 28031 Madrid, Spain
4
Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador
5
Centre Tecnològic de les Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, 08860 Barcelona, Spain
6
Departamento de Construcciones Civiles, Facultad de Ciencias Matemáticas, Físicas y Químicas, Universidad Técnica de Manabí, Portoviejo, Ecuador
7
Facultad de Ciencias de la Ingeniería, Universidad Estatal Península de Santa Elena, Ecuador
8
Instituto Nacional de Investigacin Geológico Minero Metalúrgico (INIGEMM), Monteserrín. De las Malvas E15-142 y De los Perales, Quito 170156, Ecuador
9
Departamento de Geodinámica, Universidad de Granada, Avda. del Hospicio, s/n, 18010 Granada, Spain
*
Author to whom correspondence should be addressed.
Received: 2 March 2018 / Revised: 31 May 2018 / Accepted: 4 June 2018 / Published: 7 June 2018
(This article belongs to the Special Issue Remote Sensing of Tectonic Deformation)
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Abstract

It has long been recognized that earthquakes change the stress in the upper crust around the fault rupture and can influence the behaviour of neighbouring faults and volcanoes. Rapid estimates of these stress changes can provide the authorities managing the post-disaster situation with valuable data to identify and monitor potential threads and to update the estimates of seismic and volcanic hazard in a region. Here we propose a methodology to evaluate the potential influence of an earthquake on nearby faults and volcanoes and create easy-to-understand maps for decision-making support after large earthquakes. We apply this methodology to the Mw 7.8, 2016 Ecuador earthquake. Using Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) and continuous GPS data, we measure the coseismic ground deformation and estimate the distribution of slip over the fault rupture. We also build an alternative source model using the Global Centroid Moment Tensor (CMT) solution. Then we use these models to evaluate changes of static stress on the surrounding faults and volcanoes and produce maps of potentially activated faults and volcanoes. We found, in general, good agreement between our maps and the seismic and volcanic events that occurred after the Pedernales earthquake. We discuss the potential and limitations of the methodology. View Full-Text
Keywords: InSAR; Sentinel-1; GPS; Ecuador earthquake; stress changes; active faults; volcanoes; decision-making InSAR; Sentinel-1; GPS; Ecuador earthquake; stress changes; active faults; volcanoes; decision-making
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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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Béjar-Pizarro, M.; Álvarez Gómez, J.A.; Staller, A.; Luna, M.P.; Pérez-López, R.; Monserrat, O.; Chunga, K.; Lima, A.; Galve, J.P.; Martínez Díaz, J.J.; Mateos, R.M.; Herrera, G. InSAR-Based Mapping to Support Decision-Making after an Earthquake. Remote Sens. 2018, 10, 899.

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