Articles | Volume 14, issue 8
https://doi.org/10.5194/nhess-14-2105-2014
https://doi.org/10.5194/nhess-14-2105-2014
Research article
 | 
19 Aug 2014
Research article |  | 19 Aug 2014

Assessment of the physical flood susceptibility of buildings on a large scale – conceptual and methodological frameworks

A. Blanco-Vogt and J. Schanze

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Cited articles

Adriaans, P. and Zantinge, D.: Data Mining, Pearson Education. New Delhi, India, 1996.
Aglan, H., Wendt, R., and Livengood, S.: Field Testing of Energy-Efficient Flood-Damage Resistant Residential Envelope Systems Summary Report, available from: http://www.ibsadvisorsllc.com/_library/ORNL_Field_Testing_of_Energy_Efficient_Flood_Damage_Resistant_Residential_Envelope_Systems.pdf (last access: 15 August 2013), 2004.
Aguilar, F. J. and Mills, J. P.: Accuracy assessment of lidar-derived digital elevation models, The Photogrammetric Record, 23, 148–169, 2008.
Awrangjeb, M., Ravanbakhsh, M. and Fraser, C. S.: Automatic detection of residential buildings using LIDAR data and multispectral imagery, ISPRS J. Photogramm. Remote Sens., 65, 457–467, 2010.
Birkmann, J.: Measuring vulnerability to promote disaster-resilient societies: Conceptual frameworks and definitions, edited by: J. Birkmann, Measuring Vulnerability to Natural Hazards, 01, 9–54, 2006.
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