Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 15
Articles | Volume 29, issue 15
https://doi.org/10.5194/hess-29-3727-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-3727-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 15
Research article
 | 
14 Aug 2025
Research article |  | 14 Aug 2025

Unsupervised image velocimetry for automated computation of river flow velocities

Matthew T. Perks, Borbála Hortobágyi, Nick Everard, Susan Manson, Juliet Rowland, Andrew Large, and Andrew J. Russell

Data sets

User input files for River Dart image velocimetry analysis Matthew Perks https://doi.org/10.25405/data.ncl.19762027

Video frame rate analysis Matthew Perks https://doi.org/10.25405/data.ncl.19762216

Historical flow gauging data acquired at Austin's Bridge, River Dart (UK) by the Environment Agency Matthew Perks https://doi.org/10.25405/data.ncl.28741436

Model code and software

Image velocimetry software for use with fixed and mobile platforms (v1.03) M. T. Perks https://doi.org/10.5281/zenodo.16101408

CatchmentSci/Unsupervised-image-based-velocimetry-for-automated-computation-of-river-discharge: Release v1.0 (v1.0) M. T. Perks https://doi.org/10.5281/zenodo.16101702

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Short summary
Accurate river flow measurements are essential for understanding river processes. This study evaluates the freely available software KLT-IV for automatic river surface velocity measurement. Analysing over 11 000 videos and comparing them with 274 traditional flow measurements, we find strong correlations (r² = 0.95–0.97) between KLT-IV and traditional methods. KLT-IV effectively estimates river flow with high accuracy, making it a valuable tool for autonomous water resource management.
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