The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal flooding
<p>Remote sensing analysis is routinely used to map flooding extent either retrospectively or in near-real time. For flood emergency response, remote-sensing-based flood mapping is highly valuable as it can offer continued observational information about the flood extent over large geographica...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-09-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://www.nat-hazards-earth-syst-sci.net/19/2053/2019/nhess-19-2053-2019.pdf |
| _version_ | 1828483872131645440 |
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| author | S. Cohen A. Raney D. Munasinghe J. D. Loftis A. Molthan J. Bell L. Rogers J. Galantowicz G. R. Brakenridge A. J. Kettner Y.-F. Huang Y.-P. Tsang |
| author_facet | S. Cohen A. Raney D. Munasinghe J. D. Loftis A. Molthan J. Bell L. Rogers J. Galantowicz G. R. Brakenridge A. J. Kettner Y.-F. Huang Y.-P. Tsang |
| author_sort | S. Cohen |
| collection | DOAJ |
| description | <p>Remote sensing analysis is routinely used to map flooding
extent either retrospectively or in near-real time. For flood emergency
response, remote-sensing-based flood mapping is highly valuable as it can
offer continued observational information about the flood extent over large
geographical domains. Information about the floodwater depth across the
inundated domain is important for damage assessment, rescue, and
prioritizing of relief resource allocation, but cannot be readily estimated from
remote sensing analysis. The Floodwater Depth Estimation Tool (FwDET) was
developed to augment remote sensing analysis by calculating water depth
based solely on an inundation map with an associated digital elevation model
(DEM). The tool was shown to be accurate and was used in flood response
activations by the Global Flood Partnership. Here we present a new version
of the tool, FwDET v2.0, which enables water depth estimation for coastal
flooding. FwDET v2.0 features a new flood boundary identification scheme
which accounts for the lack of confinement of coastal flood domains at the
shoreline. A new algorithm is used to calculate the local floodwater
elevation for each cell, which improves the tool's runtime by a factor of 15
and alleviates inaccurate local boundary assignment across permanent water
bodies. FwDET v2.0 is evaluated against physically based hydrodynamic
simulations in both riverine and coastal case studies. The results show good
correspondence, with an average difference of 0.18 and 0.31 m for the
coastal (using a 1 m DEM) and riverine (using a 10 m DEM) case studies,
respectively. A FwDET v2.0 application of using remote-sensing-derived flood
maps is presented for three case studies. These case studies showcase FwDET v2.0 ability to efficiently provide a synoptic assessment of floodwater.
Limitations include challenges in obtaining high-resolution DEMs and
increases in uncertainty when applied for highly fragmented flood inundation
domains.</p> |
| first_indexed | 2024-12-11T08:45:32Z |
| format | Article |
| id | doaj.art-b932d540fa0b47f08fa6329b8f7fb57a |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-12-11T08:45:32Z |
| publishDate | 2019-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-b932d540fa0b47f08fa6329b8f7fb57a2022-12-22T01:14:09ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812019-09-01192053206510.5194/nhess-19-2053-2019The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal floodingS. Cohen0A. Raney1D. Munasinghe2J. D. Loftis3A. Molthan4J. Bell5L. Rogers6J. Galantowicz7G. R. Brakenridge8A. J. Kettner9Y.-F. Huang10Y.-P. Tsang11Department of Geography, University of Alabama, Tuscaloosa, 35487, USADepartment of Geography, University of Alabama, Tuscaloosa, 35487, USADepartment of Geography, University of Alabama, Tuscaloosa, 35487, USACenter for Coastal Resources Management, Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, 23062, USAEarth Science Branch, NASA Marshall Space Flight Center, Huntsville, 35808, USAEarth System Science Center, University of Alabama Huntsville, Huntsville, Alabama, 35808, USANASA Langley Research Center, Hampton, 23666, USAAtmospheric and Environmental Research, Inc. (AER), Lexington, 02421, USADartmouth Flood Observatory, University of Colorado, Boulder, 80309, USADepartment of Natural Resources and Environmental Management, University of Hawai'i at Mānoa, Honolulu, 96822, USADepartment of Natural Resources and Environmental Management, University of Hawai'i at Mānoa, Honolulu, 96822, USADepartment of Natural Resources and Environmental Management, University of Hawai'i at Mānoa, Honolulu, 96822, USA<p>Remote sensing analysis is routinely used to map flooding extent either retrospectively or in near-real time. For flood emergency response, remote-sensing-based flood mapping is highly valuable as it can offer continued observational information about the flood extent over large geographical domains. Information about the floodwater depth across the inundated domain is important for damage assessment, rescue, and prioritizing of relief resource allocation, but cannot be readily estimated from remote sensing analysis. The Floodwater Depth Estimation Tool (FwDET) was developed to augment remote sensing analysis by calculating water depth based solely on an inundation map with an associated digital elevation model (DEM). The tool was shown to be accurate and was used in flood response activations by the Global Flood Partnership. Here we present a new version of the tool, FwDET v2.0, which enables water depth estimation for coastal flooding. FwDET v2.0 features a new flood boundary identification scheme which accounts for the lack of confinement of coastal flood domains at the shoreline. A new algorithm is used to calculate the local floodwater elevation for each cell, which improves the tool's runtime by a factor of 15 and alleviates inaccurate local boundary assignment across permanent water bodies. FwDET v2.0 is evaluated against physically based hydrodynamic simulations in both riverine and coastal case studies. The results show good correspondence, with an average difference of 0.18 and 0.31 m for the coastal (using a 1 m DEM) and riverine (using a 10 m DEM) case studies, respectively. A FwDET v2.0 application of using remote-sensing-derived flood maps is presented for three case studies. These case studies showcase FwDET v2.0 ability to efficiently provide a synoptic assessment of floodwater. Limitations include challenges in obtaining high-resolution DEMs and increases in uncertainty when applied for highly fragmented flood inundation domains.</p>https://www.nat-hazards-earth-syst-sci.net/19/2053/2019/nhess-19-2053-2019.pdf |
| spellingShingle | S. Cohen A. Raney D. Munasinghe J. D. Loftis A. Molthan J. Bell L. Rogers J. Galantowicz G. R. Brakenridge A. J. Kettner Y.-F. Huang Y.-P. Tsang The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal flooding Natural Hazards and Earth System Sciences |
| title | The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal flooding |
| title_full | The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal flooding |
| title_fullStr | The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal flooding |
| title_full_unstemmed | The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal flooding |
| title_short | The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal flooding |
| title_sort | floodwater depth estimation tool fwdet v2 0 for improved remote sensing analysis of coastal flooding |
| url | https://www.nat-hazards-earth-syst-sci.net/19/2053/2019/nhess-19-2053-2019.pdf |
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