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Extracting building stock information from optical satellite imagery for mapping earthquake exposure and its vulnerability

Author

Listed:
  • D. Ehrlich
  • T. Kemper
  • X. Blaes
  • P. Soille

Abstract

The paper focuses on automatic extraction of building stock information for quantifying physical exposure and its vulnerability from High and Very High Resolution (VHR) optical satellite imagery. We use two case studies. In Sana’a (Yemen), we use automatic techniques to extract the building stock as well as building height that is used to characterize its vulnerability. In Port-au-Prince (Haiti)—the area affected by the 2010 earthquake—we map the building stock based on a pre-disaster imagery, and we show the added value of area-based information when added to point-based damage assessment from visual change interpretation of post-disaster aerial images. This paper shows that VHR imagery can be used to locate and quantify the building stock and its height. This paper also shows that damages measured from changes detected from pre- and post-disaster imagery can in principle map and provide vulnerability information related to the structural fragility of the building stock. Copyright European Union 2013

Suggested Citation

  • D. Ehrlich & T. Kemper & X. Blaes & P. Soille, 2013. "Extracting building stock information from optical satellite imagery for mapping earthquake exposure and its vulnerability," 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. 68(1), pages 79-95, August.
    • Handle: RePEc:spr:nathaz:v:68:y:2013:i:1:p:79-95
    DOI: 10.1007/s11069-012-0482-0
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    Citations

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    Cited by:

    1. Hao Wu & Zhiping Cheng & Wenzhong Shi & Zelang Miao & Chenchen Xu, 2014. "An object-based image analysis for building seismic vulnerability assessment using high-resolution remote sensing imagery," 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. 71(1), pages 151-174, March.
    2. Christian Geiß & Anne Schauß & Torsten Riedlinger & Stefan Dech & Cecilia Zelaya & Nicolás Guzmán & Mathías A. Hube & Jamal Jokar Arsanjani & Hannes Taubenböck, 2017. "Joint use of remote sensing data and volunteered geographic information for exposure estimation: evidence from Valparaíso, Chile," 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. 86(1), pages 81-105, March.
    3. Madhurima Ganguly & Rahul Aynyas & Abhishek Nandan & Prasenjit Mondal, 2018. "Hazardous area map: an approach of sustainable urban planning and industrial development—a review," 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. 91(3), pages 1385-1405, April.
    4. Blake Walker & Cameron Taylor-Noonan & Alan Tabbernor & T’Brenn McKinnon & Harsimran Bal & Dan Bradley & Nadine Schuurman & John Clague, 2014. "A multi-criteria evaluation model of earthquake vulnerability in Victoria, British Columbia," 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. 74(2), pages 1209-1222, November.
    5. Wenhua Qi & Guiwu Su & Lei Sun & Fan Yang & Yang Wu, 2017. "“Internet+” approach to mapping exposure and seismic vulnerability of buildings in a context of rapid socioeconomic growth: a case study in Tangshan, China," 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. 86(1), pages 107-139, March.

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