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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/26359

Title: Improving distributed runoff prediction in urbanized catchments with remote sensing based estimates of impervious surface cover
Authors: Chormanski, Jaroslaw
Van de Voorde, Tim
De Roeck, Tim
Batelaan, Okke
Canters, Frank
Keywords: Belgium
Water catchment
Runoff modelling
Remote sensing
Issue Date: 2008
Publisher: MDPI, Switzerland
Citation: Chormanski, J., Van de Voorde, T., De Roeck, T., Batelaan, O. and Canters, F., 2008. Improving distributed runoff prediction in urbanized catchments with remote sensing based estimates of impervious surface cover. Sensors, 8, 910-932.
Abstract: The amount and intensity of runoff on catchment scale are strongly determined by the presence of impervious land-cover types, which are the predominant cover types in urbanized areas. This paper examines the impact of different methods for estimating impervious surface cover on the prediction of peak discharges, as determined by a fully distributed rainfall-runoff model (WetSpa), for the upper part of the Woluwe River catchment in the southeastern part of Brussels. The study shows that detailed information on the spatial distribution of impervious surfaces, as obtained from remotely sensed data, produces substantially different estimates of peak discharges than traditional approaches based on expert judgment of average imperviousness for different types of urban land use. The study also demonstrates that sub-pixel estimation of imperviousness may be a useful alternative for more expensive high-resolution mapping for rainfall-runoff modelling at catchment scale.
URI: http://hdl.handle.net/2328/26359
ISSN: 1424-8220
Appears in Collections:School of the Environment - Collected Works

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