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Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations.

Pappenberger, Florian and Frodsham, Kevin and Beven, Keith J. and Romanovicz, Renata and Matgen, Patrick (2007) Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations. Hydrology and Earth System Sciences, 11 (2). pp. 739-752. ISSN 1027-5606

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Abstract

The paper presents a methodology for the estimation of uncertainty of inundation extent, which takes account of the uncertainty in the observed spatially distributed information and implements a fuzzy evaluation methodology. The Generalised Likelihood Uncertainty Estimation (GLUE) technique and the 2-D LISFLOOD-FP model were applied to derive the set of uncertain inundation realisations and resulting flood inundation maps. Conditioning of the inundation maps on fuzzified Synthetic Aperture Radar (SAR) images results in much more realistic inundation risk maps which can better depict the variable pattern of inundation extent than previously used methods. It has been shown that the evaluation methodology compares well to traditional approaches and can produce flood hazard maps that reflect the uncertainties in model evaluation.

Item Type: Article
Journal or Publication Title: Hydrology and Earth System Sciences
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 27340
Deposited By: Mr Richard Ingham
Deposited On: 19 Oct 2009 11:26
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 16:41
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/27340

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