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| Titel |
Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations |
| VerfasserIn |
F. Pappenberger, K. Frodsham, K. Beven  , R. Romanowicz, P. Matgen |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 11, no. 2 ; Nr. 11, no. 2 (2007-01-17), S.739-752 |
| Datensatznummer |
250009213
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| Publikation (Nr.) |
 copernicus.org/hess-11-739-2007.pdf |
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| Zusammenfassung |
| 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. |
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