Articles | Volume 19, issue 10
Research article
21 Oct 2015
Research article |  | 21 Oct 2015

High-quality observation of surface imperviousness for urban runoff modelling using UAV imagery

P. Tokarczyk, J. P. Leitao, J. Rieckermann, K. Schindler, and F. Blumensaat

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Cited articles

Arrighi, C., Brugioni, M., Castelli, F., Franceschini, S., and Mazzanti, B.: Urban micro-scale flood risk estimation with parsimonious hydraulic modelling and census data, Nat. Hazards Earth Syst. Sci., 13, 1375–1391,, 2013.
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Blumensaat, F., Wolfram, M., and Krebs, P.: Sewer model development under minimum data requirements, Environ. Earth Sci., 65, 1427–1437, 2012.
Chormanski, J., Van de Voorde, T., De Roeck, T., Batelaan, O., and Canters, F.: Improving Distributed Runoff Prediction in Urbanized Catchments with Remote Sensing based Estimates of Impervious Surface Cover, Sensors, 8, 910–932, 2008.
Dotto, C., Kleidorfer, M., Deletic, A., Rauch, W., and McCarthy, D.: Impacts of measured data uncertainty on urban stormwater models, J. Hydrol., 508, 28–42, 2014.
Short summary
We investigate for the first time the possibility of deriving high-resolution imperviousness maps for urban areas from UAV imagery and using this information as input for urban drainage models. We show that imperviousness maps generated using UAV imagery processed with modern classification methods achieve accuracy comparable with standard, off-the-shelf aerial imagery. We conclude that UAV imagery represents a valuable alternative data source for urban drainage model applications.