Articles | Volume 19, issue 9
https://doi.org/10.5194/nhess-19-2053-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-2053-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Sep 2019
Research article |
| 26 Sep 2019
| 26 Sep 2019
The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal flooding
Department of Geography, University of Alabama, Tuscaloosa, 35487, USA
Austin Raney
Department of Geography, University of Alabama, Tuscaloosa, 35487, USA
Dinuke Munasinghe
Department of Geography, University of Alabama, Tuscaloosa, 35487, USA
J. Derek Loftis
Center for Coastal Resources Management, Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, 23062, USA
Andrew Molthan
Earth Science Branch, NASA Marshall Space Flight Center, Huntsville, 35808, USA
Jordan Bell
Earth System Science Center, University of Alabama Huntsville, Huntsville, Alabama, 35808, USA
Laura Rogers
NASA Langley Research Center, Hampton, 23666, USA
John Galantowicz
Atmospheric and Environmental Research, Inc. (AER), Lexington, 02421, USA
G. Robert Brakenridge
Dartmouth Flood Observatory, University of Colorado, Boulder, 80309, USA
Albert J. Kettner
Department of Natural Resources and Environmental Management, University of Hawai'i at Mānoa, Honolulu, 96822, USA
Yu-Fen Huang
Department of Natural Resources and Environmental Management, University of Hawai'i at Mānoa, Honolulu, 96822, USA
Yin-Phan Tsang
Department of Natural Resources and Environmental Management, University of Hawai'i at Mānoa, Honolulu, 96822, USA
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- Monthly hydraulic geometry relationship quantification with environmental LAI by utilizing sentinel data: A case in Jingjiang reach of the Yangtze River H. Huang et al. 10.1016/j.jhydrol.2024.131322
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Latest update: 30 Jan 2025
Short summary
Flooding is the most destructive natural disaster on Earth. Satellite and airborne imagery are commonly used for flood monitoring and response. While these remote sensing techniques are effective at providing the extent of flooding, they cannot be used to infer the depth of floodwater. This paper describes and analyzes version 2.0 of the Floodwater Depth Estimation Tool (FwDET). FwDET 2.0 offers an enhanced calculation algorithm for coastal regions and much-improved runtime.
Flooding is the most destructive natural disaster on Earth. Satellite and airborne imagery are...
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