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

Viewed

Total article views: 7,059 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
6,441 533 85 7,059 94 138
  • HTML: 6,441
  • PDF: 533
  • XML: 85
  • Total: 7,059
  • BibTeX: 94
  • EndNote: 138
Views and downloads (calculated since 07 Jan 2025)
Cumulative views and downloads (calculated since 07 Jan 2025)

Viewed (geographical distribution)

Total article views: 7,059 (including HTML, PDF, and XML) Thereof 6,903 with geography defined and 156 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 13 Jun 2026
Download
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.
Read more
Share