| Title | Gridded flood depth estimates from satellite-derived inundations |
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| Author | Bryant, S; McGrath, H ; Boudreault, M |
| Source | Natural Hazards and Earth System Sciences vol. 22, issue 4, 2022 p. 1437-1450, https://doi.org/10.5194/nhess-22-1437-2022  Open Access |
| Image |  |
| Year | 2022 |
| Alt Series | Natural Resources Canada, Contribution Series 20220080 |
| Publisher | European Geosciences Union |
| Document | serial |
| Lang. | English |
| Media | paper; digital; on-line |
| File format | pdf |
| Province | New Brunswick |
| NTS | 21 |
| Lat/Long WENS | -72.0000 -64.0000 48.0000 44.0000 |
| Subjects | environmental geology; satellite imagery; satellites; radar imagery; floods; flood potential |
| Illustrations | diagrams; location maps; satellite imagery; tables; charts; plots |
| Program | Geobase 2.0 High Resolution Data
Exploitation |
| Released | 2022 04 21 |
| Abstract | 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. |
| Summary | (Plain Language Summary, not published)
Method to create flood depth raster using HRDEM and satellite derived flood extents |
| GEOSCAN ID | 330082 |
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