The DOI matches its Crossref record.
Development of the Global Width Database for Large Rivers
Abstract
River width is a fundamental parameter of river hydrodynamic simulations, but no global‐scale river width database based on observed water bodies has yet been developed. Here we present a new algorithm that automatically calculates river width from satellite‐based water masks and flow direction maps. The Global Width Database for Large Rivers (GWD‐LR) is developed by applying the algorithm to the SRTM Water Body Database and the HydroSHEDS flow direction map. Both bank‐to‐bank river width and effective river width excluding islands are calculated for river channels between 60S and 60N. The effective river width of GWD‐LR is compared with existing river width databases for the Congo and Mississippi Rivers. The effective river width of the GWD‐LR is slightly narrower compared to the existing databases, but the relative difference is within ±20% for most river channels. As the river width of the GWD‐LR is calculated along the river channels of the HydroSHEDS flow direction map, it is relatively straightforward to apply the GWD‐LR to global and continental‐scale river modeling.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Currently, river width data is typically only available for large-scale regions using long-term records of satellite imagery.
“Currently, river width data is typically only available for large-scale regions using long-term records of satellite imagery.”
From Characterization of River Width Measurement Capability by Space Borne GNSS-Reflectometry (2024) · cites this paper as [18]
Databases such as the Global Width Database for Large Rivers and the North American River Width (NARWidth) data set rely on long-term imagery records from the SRTM and Landsat missions, respectively, to represent river extents at mean flow conditions.
“Databases such as the Global Width Database for Large Rivers [18], and the North American River Width (NARWidth) data set [19] rely on long-term imagery records from the SRTM and Landsat missions, respectively, to represent river extents at mean flow conditions.”
From Characterization of River Width Measurement Capability by Space Borne GNSS-Reflectometry (2024) · cites this paper as [18]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 30
- 10.1002/wrcr.20440 · DOI
- 10.1029/1999JD900905 · DOI
- 10.1016/S0022‐1694(00)00278‐X · DOI
- 10.1016/j.jhydrol.2009.09.054 · DOI
- 10.1080/17538940902951401 · DOI
- 10.1002/hyp.6850 · DOI
- 10.1016/S0022-1694(96)03313-6 · DOI
- 10.1029/2007JD009376 · DOI
- 10.1109/JSTARS.2009.2033453 · DOI
- 10.1109/JPROC.2010.2043031 · DOI
- 10.1175/JHM‐D‐12‐021.1 · DOI
- 10.1002/wrcr.20077 · DOI
- Homer C., 2007, Completion of the 2001 National Land Cover Database for the Conterminous United States, Photogramm. Eng. Remote Sens., 73, 337
- 10.1029/2009GL039006 · DOI
- 10.1002/esp.2090 · DOI
- 10.1002/hyp.9740 · DOI · Paper page
- 10.1029/2008EO100001 · DOI · Paper page
- Leopold L. andT.Maddock(1953) The hydraulic geometry of stream channels and some physiographic implications U.S. Geol. Surv. Prof. Pap. 252. U.S. Gov. Print. Off. Washington D. C. · DOI · Paper page
- Maidment D., 1993, Handbook of Hydrology
- 10.5194/hessd-11-3599-2014 · DOI
- 10.1029/2012WR012514 · DOI
- 10.1080/02626660109492890 · DOI
- 10.1002/wrcr.20398 · DOI
- 10.1002/wrcr.20067 · DOI
- 10.1109/lgrs.2007.908305 · DOI
- 10.1029/2012WR011888 · DOI
- 10.1029/2007GL030156 · DOI
- 10.5194/hess‐13‐2241‐2009 · DOI
- 10.1029/2010WR009726 · DOI
- 10.1029/2012WR011869 · DOI
Cited by
Sorted by citations
Yang, X., Pavelsky, T. M., Allen, G. H., & Donchyts, G. (2020) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2920225 · Cited by 156
Self-citationLi, M., Zhao, C., Duan, Z., Cheng, H., Lian, Y., & Wang, G. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.131913 · Cited by 9
Characterization of River Width Measurement Capability by Space Borne GNSS-Reflectometry
Warnock, A., Ruf, C. S., & Knoll, A. L. (2024) · Remote Sensing · doi:10.3390/rs16081446 · Cited by 4
Metadata
- Authors
- Yamazaki, D., O'Loughlin, F., Trigg, M. A., Miller, Z. F., Pavelsky, T. M., & Bates, P. D.
- Affiliations
- Department of Integrated Climate Change Projection Research Japan Agency for Marine‐Earth Science and Technology Yokohama Japan
- School of Geographical Sciences University of Bristol Bristol UK
- Department of Geological Sciences University of North Carolina Chapel Hill North Carolina USA
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2014-04
- Volume
- 50
- Issue
- 4
- Pages
- 3467-3480
- ISSN
- 0043-1397
- 1944-7973
- Cited by
- 224
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review