Abstract
Natural hazards such as earthquakes threaten millions of people all around the world. In a few decades, most of these people will live in fast-growing, inter-connected urban environments. Assessing risk will, therefore, be an increasingly difficult task that will require new, multidisciplinary approaches to be tackled properly. We propose a novel approach based on different imaging technologies and a Bayesian information integration scheme to characterize exposure and vulnerability models, which are among the key components of seismic risk assessment.
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Acknowledgements
The authors wish to thank the unknown reviewers whose constructive comments and suggestions considerably improved the manuscript. The authors are also grateful to Dr. Kevin Fleming for stimulating many inspiring discussions. Particular thanks to CAIAG (Central Asian Institute for Applied Geoscience, Bishkek) and IntUIT (International University for Innovation Technologies, Bishkek) for their support during the ground-based data-capturing. This work was supported by PROGRESS (Georisiken im Globalen Wandel), Helmholtz-EOS (Earth Observation System) and CEDIM (Center for Disaster Management and Risk Reduction).
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Pittore, M., Wieland, M. Toward a rapid probabilistic seismic vulnerability assessment using satellite and ground-based remote sensing. Nat Hazards 68, 115–145 (2013). https://doi.org/10.1007/s11069-012-0475-z
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DOI: https://doi.org/10.1007/s11069-012-0475-z