Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2769-2016
https://doi.org/10.5194/nhess-16-2769-2016
Research article
 | 
19 Dec 2016
Research article |  | 19 Dec 2016

Assessing population exposure for landslide risk analysis using dasymetric cartography

Ricardo A. C. Garcia, Sérgio C. Oliveira, and José L. Zêzere

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Cited articles

Aubrecht, C., Köstl, M., and Steinnocher, K.: Population exposure and impact assessment: Benefits of modeling urban land use in very high spatial and thematic detail, in: Computational Vision and Medical Image Processing: Recent Trends, Computational Methods in Applied Sciences, 19, Springer, Dordrecht, Heidelberg, New York, London, 75–89, https://doi.org/10.1007/978-94-007-0011-6_4, 2010.
Aubrecht, C., Dilek, Ö, Steinnocher, K., and Freire, S.: Multi-level geospatial modeling of human exposure, patterns and vulnerability indicators, Nat. Hazards, 68, 147–163, https://doi.org/10.1007/s11069-012-0389-9, 2013.
Bell, R. and Glade, T.: Quantitative risk analysis for landslides – Examples from Bíldudalur, NW Iceland, Nat. Hazards Earth Syst. Sci., 4, 117–131, https://doi.org/10.5194/nhess-4-117-2004, 2004.
Bhaduri, B., Bright, E., Coleman, P., and Dobson, J.: LandScan: Locating People is What Matters, Geoinformatics, 5, 34–37, 2002.
Brabb, E. E.: Innovative Approaches to Landslide Hazard and Risk Mapping, in: Proceedings 4th International Symposium on Landslides, Canadian Geotechnical Society, Toronto, 307–323, 1984.
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Short summary
Assessing the numbers and locations of exposed people is crucial in landslide risk management and emergency planning. This study applies dasymetric cartography to assessing the potentially exposed population per building and comparing it with results from the basic census units. A dasymetric approach increases the spatial resolution of the population and enables the use of detailed landslide susceptibility maps, which is highly valuable for assessing the exposed population.
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