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Toward global mapping of river discharge using satellite images and at-many-stations hydraulic geometry

2014· article· en· 342 citations· W2063453643 on OpenAlex· 10.1073/pnas.1317606111

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

About CanadaIts subject is Canada, wherever its authors sit.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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Opus teacher head0.034
GPT teacher head0.289
Teacher spread
0.254 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Rivers provide critical water supply for many human societies and ecosystems, yet global knowledge of their flow rates is poor. We show that useful estimates of absolute river discharge (in cubic meters per second) may be derived solely from satellite images, with no ground-based or a priori information whatsoever. The approach works owing to discovery of a characteristic scaling law uniquely fundamental to natural rivers, here termed a river's at-many-stations hydraulic geometry. A first demonstration using Landsat Thematic Mapper images over three rivers in the United States, Canada, and China yields absolute discharges agreeing to within 20-30% of traditional in situ gauging station measurements and good tracking of flow changes over time. Within such accuracies, the door appears open for quantifying river resources globally with repeat imaging, both retroactively and henceforth into the future, with strong implications for water resource management, food security, ecosystem studies, flood forecasting, and geopolitics.

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The record

Venue
Proceedings of the National Academy of Sciences
Topic
Flood Risk Assessment and Management
Field
Environmental Science
Canadian institutions
Funders
National Aeronautics and Space Administration
Keywords
HydraulicsSatelliteRemote sensingWater resourcesHydrology (agriculture)Flow (mathematics)Environmental scienceDischargeLimit (mathematics)Computer scienceGeologyGeographyGeometryEcologyDrainage basinEngineeringCartographyMathematicsGeotechnical engineering
Has abstract in OpenAlex
yes