Articles | Volume 24, issue 8
https://doi.org/10.5194/nhess-24-2817-2024
https://doi.org/10.5194/nhess-24-2817-2024
Research article
 | 
22 Aug 2024
Research article |  | 22 Aug 2024

Water depth estimate and flood extent enhancement for satellite-based inundation maps

Andrea Betterle and Peter Salamon

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Cited articles

Bauer-Marschallinger, B., Sabel, D., and Wagner, W.: Optimisation of global grids for high-resolution remote sensing data, Comput. Geosci., 72, 84–93, 2014. a
Betterle, A.: FLEXTH – Flood extent enhancement and water depth estimation tool for satellite-derived inundation maps, EU [code], https://code.europa.eu/floods/floods-river/flexth (last access: 5 August 2024), 2024. a
Bryant, S., McGrath, H., and Boudreault, M.: Gridded flood depth estimates from satellite-derived inundations, Nat. Hazards Earth Syst. Sci., 22, 1437–1450, https://doi.org/10.5194/nhess-22-1437-2022, 2022. a
Chow, V.: Open-channel Hydraulics, McGraw-Hill civil engineering series, Blackburn Press, ISBN 9781932846188, 2009. a
Cian, F., Marconcini, M., Ceccato, P., and Giupponi, C.: Flood depth estimation by means of high-resolution SAR images and lidar data, Nat. Hazards Earth Syst. Sci., 18, 3063–3084, https://doi.org/10.5194/nhess-18-3063-2018, 2018 a
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
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