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Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model
Univ Ghent, Lab Hydrol & Water Management, Coupure Links 653, B-9000 Ghent, Belgium..
Univ Ghent, Lab Hydrol & Water Management, Coupure Links 653, B-9000 Ghent, Belgium..
Univ Bristol, Sch Geog Sci, Univ Rd, Bristol BS8 1SS, Avon, England..
Univ Ghent, Lab Hydrol & Water Management, Coupure Links 653, B-9000 Ghent, Belgium.;NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD 20771 USA..
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2017 (English)In: Advances in Water Resources, ISSN 0309-1708, E-ISSN 1872-9657, Vol. 100, p. 126-138Article in journal (Refereed) Published
Abstract [en]

Synthetic Aperture Radar (SAR) data have proven to be a very useful source of information for the calibration of flood inundation models. Previous studies have focused on assigning uncertainties to SAR images in order to improve flood forecast systems (e.g. Giustarini et al. (2015) and Stephens et al. (2012)). This paper investigates whether the timing of a SAR acquisition of a flood has an important impact on the calibration of a flood inundation model. As no suitable time series of SAR data exists, we generate a sequence of consistent SAR images through the use of a synthetic framework. This framework uses two available ERS-2 SAR images of the study area, one taken during the flood event of interest, the second taken during a dry reference period. The obtained synthetic observations at different points in time during the flood event are used to calibrate the flood inundation model. The results of this study indicate that the uncertainty of the roughness parameters is lower when the model is calibrated with an image taken before rather than during or after the flood peak. The results also show that the error on the modelled extent is much lower when the model is calibrated with a pre-flood peak image than when calibrated with a near-flood peak or a post-flood peak image. It is concluded that the timing of the SAR image acquisition of the flood has a clear impact on the model calibration and consequently on the precision of the predicted flood extent.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2017. Vol. 100, p. 126-138
Keywords [en]
Flood inundation, Hydraulic modelling, Remote sensing, Calibration
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:uu:diva-320693DOI: 10.1016/j.advwatres.2016.12.005ISI: 000394631100010OAI: oai:DiVA.org:uu-320693DiVA, id: diva2:1090526
Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2018-01-13Bibliographically approved

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Di Baldassarre, Giuliano

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