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Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap

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  • Christian Geiß
  • Hannes Taubenböck

Abstract

Remote sensing data and methods are widely deployed in order to contribute to the assessment of numerous components of earthquake risk. While for earthquake hazard-related investigations, the use of remotely sensed data is an established methodological element with a long research tradition, earthquake vulnerability–centred assessments incorporating remote sensing data are increasing primarily in recent years. This goes along with a changing perspective of the scientific community which considers the assessment of vulnerability and its constituent elements as a pivotal part of a comprehensive risk analysis. Thereby, the availability of new sensors systems enables an appreciable share of remote sensing first. In this manner, a survey of the interdisciplinary conceptual literature dealing with the scientific perception of risk, hazard and vulnerability reveals the demand for a comprehensive description of earthquake hazards as well as an assessment of the present and future conditions of the elements exposed. A review of earthquake-related remote sensing literature, realized both in a qualitative and quantitative manner, shows the already existing and published manifold capabilities of remote sensing contributing to assess earthquake risk. These include earthquake hazard-related analysis such as detection and measurement of lineaments and surface deformations in pre- and post-event applications. Furthermore, pre-event seismic vulnerability–centred assessment of the built and natural environment and damage assessments for post-event applications are presented. Based on the review and the discussion of scientific trends and current research projects, first steps towards a roadmap for remote sensing are drawn, explicitly taking scientific, technical, multi- and transdisciplinary as well as political perspectives into account, which is intended to open possible future research activities. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Christian Geiß & Hannes Taubenböck, 2013. "Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap," 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 7-48, August.
    • Handle: RePEc:spr:nathaz:v:68:y:2013:i:1:p:7-48
    DOI: 10.1007/s11069-012-0322-2
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    2. 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.
    3. Hernán Santa María & Matías A. Hube & Felipe Rivera & Catalina Yepes-Estrada & Jairo A. Valcárcel, 2017. "Development of national and local exposure models of residential structures in 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 55-79, March.
    4. 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.
    5. Christian Geiß & Hannes Taubenböck, 2017. "One step back for a leap forward: toward operational measurements of elements at risk," 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 1-6, March.
    6. Massimiliano Pittore & Marc Wieland & Kevin Fleming, 2017. "Perspectives on global dynamic exposure modelling for geo-risk assessment," 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 7-30, March.
    7. Mohamed S. Abdalzaher & Moez Krichen & Derya Yiltas-Kaplan & Imed Ben Dhaou & Wilfried Yves Hamilton Adoni, 2023. "Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey," Sustainability, MDPI, vol. 15(15), pages 1-38, July.
    8. 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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