Articles | Volume 20, issue 4
https://doi.org/10.5194/hess-20-1637-2016
https://doi.org/10.5194/hess-20-1637-2016
Research article
 | 
29 Apr 2016
Research article |  | 29 Apr 2016

Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas

João P. Leitão, Matthew Moy de Vitry, Andreas Scheidegger, and Jörg Rieckermann

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Cited articles

Allitt, R., Blanksby, J., Djordjevic, S., Maksimovic, C., and Stewart, D.: Investigations into 1D-1D and 1D-2D Urban Flood Modelling, in: WaPuG Autumn conference, 11–13 November 2009, Blackpool, UK, 2009.
Apel, H., Aronica, G. T., Kreibich, H., and Thieken, A. H.: Flood Risk Analyses – how Detailed Do We Need to Be?, Nat. Hazards, 49, 79–98, https://doi.org/10.1007/s11069-008-9277-8, 2009.
Baltsavias, E.: A Comparison between Photogrammetry and Laser Scanning, ISPRS J. Photogram. Remote Sens., 54, 83–94, https://doi.org/10.1016/S0924-2716(99)00014-3, 1999.
Bennett-Jones, O.: Searching for a New Name for Drones, BBC News, http://www.bbc.com/news/magazine-25979068 (last access: 23 April 2015), 2014.
Burrough, P. A. and McDonnell, R. A.: Principles of Geographical Information Systems, Oxford University Press, New York, 1998.
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Short summary
Precise and detailed DEMs are essential to accurately predict overland flow in urban areas. In this this study we evaluated whether DEMs generated from UAV imagery are suitable for urban drainage overland flow modelling. Specifically, 14 UAV flights were conducted to assess the influence of four different flight parameters on the quality of generated DEMs. In addition, we compared the best quality UAV DEM to a conventional lidar-based DEM; the two DEMs are of comparable quality.