Gridded flood depth estimates from satellite-derived inundations

<p>Canada's RADARSAT missions improve the potential to study past flood events; however, existing tools to derive flood depths from this remote-sensing data do not correct for errors, leading to poor estimates. To provide more accurate gridded depth estimates of historical flooding, a new...

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Main Authors: S. Bryant, H. McGrath, M. Boudreault
Format: Article
Language:English
Published: Copernicus Publications 2022-04-01
Series:Natural Hazards and Earth System Sciences
Online Access:https://nhess.copernicus.org/articles/22/1437/2022/nhess-22-1437-2022.pdf
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author S. Bryant
S. Bryant
H. McGrath
M. Boudreault
author_facet S. Bryant
S. Bryant
H. McGrath
M. Boudreault
author_sort S. Bryant
collection DOAJ
description <p>Canada's RADARSAT missions improve the potential to study past flood events; however, existing tools to derive flood depths from this remote-sensing data do not correct for errors, leading to poor estimates. To provide more accurate gridded depth estimates of historical flooding, a new tool is proposed that integrates Height Above Nearest Drainage and Cost Allocation algorithms. This tool is tested against two trusted, hydraulically derived, gridded depths of recent floods in Canada. This validation shows the proposed tool outperforms existing tools and can provide more accurate estimates from minimal data without the need for complex physics-based models or expert judgement. With improvements in remote-sensing data, the tool proposed here can provide flood researchers and emergency managers accurate depths in near-real time.</p>
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spelling doaj.art-77b1f639d6bc4baa8bff74bc1cfa25bb2022-12-22T02:01:37ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812022-04-01221437145010.5194/nhess-22-1437-2022Gridded flood depth estimates from satellite-derived inundationsS. Bryant0S. Bryant1H. McGrath2M. Boudreault3Section 4.4. Hydrology, GFZ German Research Centre for Geosciences, Potsdam, GermanyInstitute for Environmental Sciences and Geography, University of Potsdam, Potsdam, GermanyCanada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, CanadaDepartment of Mathematics, Université du Québec à Montréal, Montreal, Canada<p>Canada's RADARSAT missions improve the potential to study past flood events; however, existing tools to derive flood depths from this remote-sensing data do not correct for errors, leading to poor estimates. To provide more accurate gridded depth estimates of historical flooding, a new tool is proposed that integrates Height Above Nearest Drainage and Cost Allocation algorithms. This tool is tested against two trusted, hydraulically derived, gridded depths of recent floods in Canada. This validation shows the proposed tool outperforms existing tools and can provide more accurate estimates from minimal data without the need for complex physics-based models or expert judgement. With improvements in remote-sensing data, the tool proposed here can provide flood researchers and emergency managers accurate depths in near-real time.</p>https://nhess.copernicus.org/articles/22/1437/2022/nhess-22-1437-2022.pdf
spellingShingle S. Bryant
S. Bryant
H. McGrath
M. Boudreault
Gridded flood depth estimates from satellite-derived inundations
Natural Hazards and Earth System Sciences
title Gridded flood depth estimates from satellite-derived inundations
title_full Gridded flood depth estimates from satellite-derived inundations
title_fullStr Gridded flood depth estimates from satellite-derived inundations
title_full_unstemmed Gridded flood depth estimates from satellite-derived inundations
title_short Gridded flood depth estimates from satellite-derived inundations
title_sort gridded flood depth estimates from satellite derived inundations
url https://nhess.copernicus.org/articles/22/1437/2022/nhess-22-1437-2022.pdf
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