The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Toward global mapping of river discharge using satellite images and at-many-stations hydraulic geometry
Open accessAbstract
Significance: Political and practical realities limit our knowledge of water resources in many parts of the world. Here, we present a radically different approach for quantitative remote sensing of river discharge (flow rate) that is enabled by advancing a classic theory of river hydraulics and adapting it for use with satellite or aerial images. Because no ground-based information is required, the approach holds promise for addressing pressing societal, ecological, and scientific problems through global mapping of river flow.
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In the citing paper
“The AHG coefficients generally follow a consistent linear trend along the river course as suggested by refs. 26,64.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [64]
In the citing paper
“while the robust log-linear convergence between a and b across diverse hydroclimates (cf. Fig. 8) corroborates the structural tenets of At-A-Station Hydraulic Geometry (AHG)29,64.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [64]
In the citing paper
“This relationship, previously noted in localized studies64, reflects how geomorphological heterogeneity influences river flow dynamics29.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [64]
In the citing paper
“evidencing that the a and b coefficients of the ARC estimated at the global scale from monthly discharge reanalysis follow the findings made with different datasets and for varying types of rivers by refs. 26,64.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [64]
Citations
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Cited by
The SWOT Mission and Its Capabilities for Land Hydrology
Biancamaria, S., Lettenmaier, D. P., & Pavelsky, T. M. (2016) · Surveys in Geophysics · doi:10.1007/s10712-015-9346-y · Cited by 458
Allen, G. H., & Pavelsky, T. M. (2015) · Geophysical Research Letters · doi:10.1002/2014gl062764 · Cited by 160
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
Response to Variations in River Flowrate by a Spaceborne GNSS-R River Width Estimator
Warnock, A., & Ruf, C. (2019) · Remote Sensing · doi:10.3390/rs11202450 · Cited by 25
Global scale river discharge and mean depth from radar altimetry and model
Paris, A., Garambois, P.-A., Gal, L., Cerbelaud, A., Larnier, K., David, C. H., Jucá Oliveira, R. A., Correa, S. W., Tourian, M. J., & Calmant, S. (2026) · Nature Communications · doi:10.1038/s41467-026-78275-5
Metadata
- Authors
- Gleason, C. J., & Smith, L. C.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-03-17
- Volume
- 111
- Issue
- 13
- Pages
- 4788-4791
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2063453643
- Cited by
- 345
- References
- 2
- FWCI
- 15.11
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Toward global mapping of river discharge using satellite images and at-many-stations hydraulic geometry. https://app.cochat.ai/papers/10.1073/pnas.1317606111
- The paper
- Gleason, C. J., & Smith, L. C. (2014). Toward global mapping of river discharge using satellite images and at-many-stations hydraulic geometry. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1317606111
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
