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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2022-04-01
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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> |
first_indexed | 2024-12-10T04:51:13Z |
format | Article |
id | doaj.art-77b1f639d6bc4baa8bff74bc1cfa25bb |
institution | Directory Open Access Journal |
issn | 1561-8633 1684-9981 |
language | English |
last_indexed | 2024-12-10T04:51:13Z |
publishDate | 2022-04-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Natural Hazards and Earth System Sciences |
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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