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Improving Urban Flo...
Improving Urban Flood Mapping by Merging Synthetic Aperture Radar-Derived Flood Footprints with Flood Hazard Maps
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- Mason, David C. (författare)
- Univ Reading, Dept Geog & Environm Sci, Reading RG6 6AB, Berks, England
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- Bevington, John (författare)
- JBA Consulting, Broughton Pk, Skipton BD23 3FD, England
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- Dance, Sarah L. (författare)
- Univ Reading, Dept Meteorol, Reading RG6 6ET, Berks, England; Univ Reading, Dept Math & Stat, Reading RG6 6AX, Berks, England
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- Revilla-Romero, Beatriz (författare)
- JBA Consulting, Broughton Pk, Skipton BD23 3FD, England
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- Smith, Richard (författare)
- JBA Consulting, Broughton Pk, Skipton BD23 3FD, England
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- Vetra-Carvalho, Sanita (författare)
- Spire Global Ltd, Glasgow G3 8JU, Lanark, Scotland
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- Cloke, Hannah L. (författare)
- Uppsala universitet,Luft-, vatten- och landskapslära,Univ Reading, Dept Geog & Environm Sci, Reading RG6 6AB, Berks, England; Univ Reading, Dept Meteorol, Reading RG6 6ET, Berks, England
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(creator_code:org_t)
- 2021-06-02
- 2021
- Engelska.
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Ingår i: Water. - : MDPI. - 2073-4441. ; 13:11
- Relaterad länk:
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https://doi.org/10.3...
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https://uu.diva-port... (primary) (Raw object)
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https://www.mdpi.com...
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- Remotely sensed flood extents obtained in near real-time can be used for emergency flood incident management and as observations for assimilation into flood forecasting models. High-resolution synthetic aperture radar (SAR) sensors have the potential to detect flood extents in urban areas through clouds during both day- and night-time. This paper considers a method for detecting flooding in urban areas by merging near real-time SAR flood extents with model-derived flood hazard maps. This allows a two-way symbiosis, whereby currently available SAR urban flood extent improves future model flood predictions, while flood hazard maps obtained after the SAR overpasses improve the SAR estimate of urban flood extents. The method estimates urban flooding using SAR backscatter only in rural areas adjacent to urban ones. It was compared to an existing method using SAR returns in both rural and urban areas. The method using SAR solely in rural areas gave an average flood detection accuracy of 94% and a false positive rate of 9% in the urban areas and was more accurate than the existing method.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Fjärranalysteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Remote Sensing (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)
Nyckelord
- image processing
- hydrology
- synthetic aperture radar
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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