Accessibility navigation

Improving flood inundation models using remotely sensed data


Downloads per month over past year

Mason, D. C., Horritt, M. S., Speck, R. and Bates, P. D. (2009) Improving flood inundation models using remotely sensed data. In: International Conference on Space Technology, August 24-26, 2009, Thessaloniki.

[img] Text - Accepted Version
· Please see our End User Agreement before downloading.



The paper discusses the wide variety of ways in which remotely sensed data are being utilized in river flood inundation modeling. Model parameterization is being aided using airborne LiDAR data to provide topography of the floodplain for use as model bathymetry, and vegetation heights in the floodplain for use in estimating floodplain friction factors. Model calibration and validation are being aided by comparing the flood extent observed in SAR images with the extent predicted by the model. The recent extension of this to the observation of urban flooding using high resolution TerraSAR-X data is described. Possible future research directions are considered.

Item Type:Conference or Workshop Item (Paper)
Divisions:Faculty of Science > School of Mathematical and Physical Sciences > Environmental Systems Science Centre
ID Code:1647

Download Statistics for this item.

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation