Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1545-2020
https://doi.org/10.5194/essd-12-1545-2020
Data description paper
 | 
08 Jul 2020
Data description paper |  | 08 Jul 2020

Towards harmonisation of image velocimetry techniques for river surface velocity observations

Matthew T. Perks, Silvano Fortunato Dal Sasso, Alexandre Hauet, Elizabeth Jamieson, Jérôme Le Coz, Sophie Pearce, Salvador Peña-Haro, Alonso Pizarro, Dariia Strelnikova, Flavia Tauro, James Bomhof, Salvatore Grimaldi, Alain Goulet, Borbála Hortobágyi, Magali Jodeau, Sabine Käfer, Robert Ljubičić, Ian Maddock, Peter Mayr, Gernot Paulus, Lionel Pénard, Leigh Sinclair, and Salvatore Manfreda

Related authors

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
Hydrol. Earth Syst. Sci., 29, 3727–3743, https://doi.org/10.5194/hess-29-3727-2025,https://doi.org/10.5194/hess-29-3727-2025, 2025
Short summary
A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations
Robert Ljubičić, Dariia Strelnikova, Matthew T. Perks, Anette Eltner, Salvador Peña-Haro, Alonso Pizarro, Silvano Fortunato Dal Sasso, Ulf Scherling, Pietro Vuono, and Salvatore Manfreda
Hydrol. Earth Syst. Sci., 25, 5105–5132, https://doi.org/10.5194/hess-25-5105-2021,https://doi.org/10.5194/hess-25-5105-2021, 2021
Short summary

Cited articles

Adrian, R. J.: Scattering particle characteristics and their effect on pulsed laser measurements of fluid flow: speckle velocimetry vs particle image velocimetry, Appl. Opt., 23, 1690–1691, https://doi.org/10.1364/AO.23.001690, 1984. a
Agisoft: Agisoft PhotoScan Professional Edition (version 1.1.6), available at: https://www.agisoft.com (last access: 23 June 2020), . a
Brevis, W., Niño, Y., and Jirka, G. H.: Integrating cross-correlation and relaxation algorithms for particle tracking velocimetry, Exp. Fluids, 50, 135–147, 2011. a
Dal Sasso, S. F., Pizarro, A., Samela, C., Mita, L., and Manfreda, S.: Exploring the optimal experimental setup for surface flow velocity measurements using PTV, Environ. Monit. Assess., 190, 460, https://doi.org/10.1007/s10661-018-6848-3, 2018. a, b, c, d, e, f
Detert, M. and Weitbrecht, V.: A low-cost airborne velocimetry system: proof of concept, J. Hydraul. Res., 53, 532–539, https://doi.org/10.1080/00221686.2015.1054322, 2015. a
Download
Short summary
We present datasets acquired from seven countries across Europe and North America consisting of image sequences. These have been subjected to a range of pre-processing methods in preparation for image velocimetry analysis. These datasets and accompanying reference data are a resource that may be used for conducting benchmarking experiments, assessing algorithm performances, and focusing future software development.
Share
Altmetrics
Final-revised paper
Preprint