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

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Cited articles

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Albert, S., Kvennefors, C., Jacob, K., Kera, J., and Grinham, A.: Environmental change in a modified catchment downstream of a gold mine, Solomon Islands, Environ. Pollut., 231, 942–953,, 2017. 
Albert, S., Deering, N., Tongi, S., Nandy, A., Kisi, A., Sirikolo, M., Maehaka, M., Hutley, N., Kies-Ryan, S., and Grinham, A.: Water quality challenges associated with industrial logging of a karst landscape: Guadalcanal, Solomon Islands, Mar. Pollut. Bull., 169, 112506,, 2021. 
Baker, S., Scharstein, D., Lewis, J. P., Roth, S., Black, M. J., and Szeliski, R.: A database and evaluation methodology for optical flow, Int. J. Comput. Vision, 92, 1–31,, 2011. 
Banasiak, R. and Krzyżanowski, M.: Flood flows in the Odra River in 2010 – quantitative and qualitative assessment of ADCP data, Meteorol. Hydrol. Water Manag. Res. Oper. Appl., 3, 11–20, 2015. 
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.