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Inference of effective river properties from remotely sensed observations of water surface
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“However, altimetric observations require ancillary data since river surface geometry does not uniquely determine discharge14,15.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [14]
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“Rivers are vital for water security, yet scalable freshwater monitoring and global knowledge of river mean depth and discharge remains limited by sparse in situ data, satellite observations of river surface only and global river flow estimations relying on models with insufficient hydraulic information.”
From Global scale river discharge and mean depth from radar altimetry and model (2026) · cites this paper as [14]
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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
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
Self-citation
Metadata
- Authors
- Garambois, P.-A., & Monnier, J.
- Venue
- Advances in Water Resources
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 79
- Pages
- 103-120
- ISSN
- 0309-1708
- Cited by
- 149
- References
- 0
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- Garambois, P.-A., & Monnier, J. (2015). Inference of effective river properties from remotely sensed observations of water surface. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2015.02.007
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