Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 10
Articles | Volume 27, issue 10
https://doi.org/10.5194/hess-27-2051-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-2051-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 10
Research article
 | 
31 May 2023
Research article |  | 31 May 2023

Adaptively monitoring streamflow using a stereo computer vision system

Nicholas Reece Hutley, Ryan Beecroft, Daniel Wagenaar, Josh Soutar, Blake Edwards, Nathaniel Deering, Alistair Grinham, and Simon Albert

Viewed

Total article views: 3,580 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,648 858 74 3,580 160 57 57
  • HTML: 2,648
  • PDF: 858
  • XML: 74
  • Total: 3,580
  • Supplement: 160
  • BibTeX: 57
  • EndNote: 57
Views and downloads (calculated since 02 Sep 2022)
Cumulative views and downloads (calculated since 02 Sep 2022)

Viewed (geographical distribution)

Total article views: 3,580 (including HTML, PDF, and XML) Thereof 3,469 with geography defined and 111 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 31 Mar 2025
Download
Short summary
Measuring flows in streams allows us to manage crucial water resources. This work shows the automated application of a dual camera computer vision stream gauging (CVSG) system for measuring streams. Comparing between state-of-the-art technologies demonstrated that camera-based methods were capable of performing within the best available error margins. CVSG offers significant benefits towards improving stream data and providing a safe way for measuring floods while adapting to changes over time.
Read more
Share