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

Lancaster Environment Centre

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Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations. / Pappenberger, Florian; Frodsham, Kevin; Beven, Keith J. et al.
In: Hydrology and Earth System Sciences, Vol. 11, No. 2, 2007, p. 739-752.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Author

Pappenberger, Florian ; Frodsham, Kevin ; Beven, Keith J. et al. / Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations. In: Hydrology and Earth System Sciences. 2007 ; Vol. 11, No. 2. pp. 739-752.

Bibtex

@article{65454cac99854cf0afa7ab1ee387c577,

title = "Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations.",

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.",

author = "Florian Pappenberger and Kevin Frodsham and Beven, {Keith J.} and Renata Romanovicz and Patrick Matgen",

year = "2007",

language = "English",

volume = "11",

pages = "739--752",

journal = "Hydrology and Earth System Sciences",

issn = "1027-5606",

publisher = "Copernicus Gesellschaft mbH",

number = "2",

}

RIS

TY - JOUR

T1 - Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations.

AU - Pappenberger, Florian

AU - Frodsham, Kevin

AU - Beven, Keith J.

AU - Romanovicz, Renata

AU - Matgen, Patrick

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

M3 - Journal article

VL - 11

SP - 739

EP - 752

JO - Hydrology and Earth System Sciences

JF - Hydrology and Earth System Sciences

SN - 1027-5606

IS - 2

ER -

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