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Optical satellite imagery for quantifying spatio-temporal dimension of physical exposure in disaster risk assessments

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  • Daniele Ehrlich
  • Patrizia Tenerelli

Abstract

This work addresses the use of remote sensing imagery to quantify the built environment and its spatial and temporal changes. It identifies building footprint map, building location map and built-up area map as information products that can be used to quantify physical exposure, one of the variables required in disaster risk assessments. The paper also reviews urban land use maps and urban classes in land cover maps as potential source for deriving exposure information. The paper focuses on the latest generation of satellite-borne remote sensing imaging systems that deliver high-resolution optical imagery able to resolve buildings and other three-dimensional man-made constructions. This work also reviews the semantics, the spatial unit used to define physical exposure, image processing procedures and change techniques. Copyright Eurotom: European Commission Joint Research Centre 2013

Suggested Citation

  • Daniele Ehrlich & Patrizia Tenerelli, 2013. "Optical satellite imagery for quantifying spatio-temporal dimension of physical exposure in disaster risk assessments," 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(3), pages 1271-1289, September.
    • Handle: RePEc:spr:nathaz:v:68:y:2013:i:3:p:1271-1289
    DOI: 10.1007/s11069-012-0372-5
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    References listed on IDEAS

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    1. Marina Mueller & Karl Segl & Uta Heiden & Hermann Kaufmann, 2006. "Potential of High-Resolution Satellite Data in the Context of Vulnerability of Buildings," 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. 38(1), pages 247-258, May.
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    Cited by:

    1. 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.
    2. 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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