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A geospatial intelligence application to support post-disaster inspections based on local exposure information and on co-seismic DInSAR results: the case of the Durres (Albania) earthquake on November 26, 2019

Author

Listed:
  • O. Markogiannaki

    (University of Western Macedonia)

  • A. Karavias

    (Harokopio University)

  • D. Bafi

    (Harokopio University)

  • D. Angelou

    (Harokopio University)

  • I. Parcharidis

    (Harokopio University)

Abstract

The current study analyzes how a geospatial intelligence application can turn into a useful operational tool in the immediate post-earthquake phase of infrastructure inspection that may have been affected by the co-seismic ground deformation due to very strong earthquake event. As a case study, the Durres (Central Albania) earthquake on November 26, 2019, has been investigated. In order to achieve this goal, free SAR images of the Sentinel-1 Copernicus satellite in both geometry of acquisition were used to create the differential interferograms and in the next step to convert them into deformation maps through phase unwrapping and convert phase to meters. Interferometric processing steps were carried out by the open and free ESA's SNAP software. Then, from open sources, data were used to identify and localize the exposure in the affected area. By combining (overlapping) the above two datasets of knowledge, a geospatial intelligence tool has been created in which for every element of the exposure that was identified, the ground deformation that the area had suffered due to the strong earthquake was also known.

Suggested Citation

  • O. Markogiannaki & A. Karavias & D. Bafi & D. Angelou & I. Parcharidis, 2020. "A geospatial intelligence application to support post-disaster inspections based on local exposure information and on co-seismic DInSAR results: the case of the Durres (Albania) earthquake on November," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3085-3100, September.
  • Handle: RePEc:spr:nathaz:v:103:y:2020:i:3:d:10.1007_s11069-020-04120-7
    DOI: 10.1007/s11069-020-04120-7
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    References listed on IDEAS

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    1. J.R. Elliott & R.J. Walters & T.J. Wright, 2016. "The role of space-based observation in understanding and responding to active tectonics and earthquakes," Nature Communications, Nature, vol. 7(1), pages 1-16, December.
    2. Atanu Bhattacharya & Mukat Sharma & Manoj Arora, 2012. "Surface displacement estimation along Himalayan frontal fault using differential SAR interferometry," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1105-1123, November.
    3. Olga Sarychikhina & Ewa Glowacka & Braulio Robles, 2018. "Multi-sensor DInSAR applied to the spatiotemporal evolution analysis of ground surface deformation in Cerro Prieto basin, Baja California, Mexico, for the 1993–2014 period," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 225-255, May.
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