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Patterns of river width and surface area revealed by the satellite‐derived North American River Width data set
Abstract
As hydraulic, hydrologic, and biogeochemical models evolve toward greater spatial resolution and larger extent, robust morphometric data sets are essential to constrain their results. Here we present the Landsat‐derived North American River Width (NARWidth) data set, the first fine‐resolution, continental scale river centerline and width database. NARWidth contains measurements of >2.4 × 10 5 km of rivers wider than 30 m at mean annual discharge. We find that conventional digital elevation model‐derived width data sets underestimate the abundance of wide rivers. To calculate the total surface area of North American rivers, we extrapolate the strong observed relationship between river width and total surface area at different river widths ( r 2 > 0.99 for 100–2000 m widths) to narrower rivers and streams. We conservatively estimate the total surface area of North American rivers as × 10 5 km 2 (1σ confidence intervals), values % greater than previous estimates used to evaluate greenhouse gas efflux from rivers to the atmosphere.
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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 [19]
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 [19]
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Li, 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
- Allen, G. H., & Pavelsky, T. M.
- Affiliations
- Department of Geological Sciences University of North Carolina Chapel Hill North Carolina USA
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2015-01-28
- Volume
- 42
- Issue
- 2
- Pages
- 395-402
- ISSN
- 0094-8276
- 1944-8007
- Cited by
- 160
- References
- 1
- Language
- en
- Funders
- NASA New Investigator Program (NNX12AQ77G)
- NASA Terrestrial Hydrology Program (NNX14AD82G)
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