The University of Southampton
University of Southampton Institutional Repository

The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling

Wilson, M.D. and Atkinson, P.M. (2007) The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling Hydrological Processes, 21, pp. 3576-3586. (doi:10.1002/hyp.6584).

Record type: Article


Remotely sensed land cover was used to generate spatially-distributed friction coefficients for use in a two-dimensional model of flood inundation. Such models are at the forefront of research into the prediction of river flooding. Standard practice, however, is to use single (static) friction coefficients on both the channel and floodplain, which are varied in a calibration procedure to provide a “best fit” to a known inundation extent. Spatially-distributed friction provides a physically grounded estimate of friction that does not require fitting to a known inundation extent, but which can be fitted if desired. Remote sensing offers the opportunity to map these friction coefficients relatively straightforwardly and for low cost. Inundation was predicted using the LISFLOOD-FP model for a reach on the River Nene, UK. Friction coefficients were produced from land cover predicted from Landsat TM imagery using both ML and fuzzy c-means classifiction. The elevetion data used were from combined contour and differential global positioning system (GPS) elevation data. Predicted inundation using spatiallydistributed and static friction were compared. Spatially-distributed friction had the greatest effect on the timing of flood inundation, but a small effect on predicted inundation extent. The results indicate that spatially-distributed friction should be considered where the timing of initial flooding (e.g. for early warning) is important.

Full text not available from this repository.

More information

Published date: 2007
Keywords: floodplain friction coefficients, remote sensing, flood inundation modelling


Local EPrints ID: 54993
ISSN: 1099-1085
PURE UUID: 8075afaf-8daf-401a-92bd-74f6c13403ef

Catalogue record

Date deposited: 01 Aug 2008
Last modified: 17 Jul 2017 14:34

Export record



Author: M.D. Wilson
Author: P.M. Atkinson

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.