Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1545-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-1545-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
08 Jul 2020
Data description paper |
| 08 Jul 2020
| 08 Jul 2020
Towards harmonisation of image velocimetry techniques for river surface velocity observations
Matthew T. Perks
CORRESPONDING AUTHOR
School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UK
Silvano Fortunato Dal Sasso
Department of European and Mediterranean Cultures: Architecture, Environment and Cultural Heritage (DiCEM), University of Basilicata, 75100 Matera, Italy
Alexandre Hauet
Electricité de France, DTG, Grenoble, France
Elizabeth Jamieson
National Hydrological Services, Environment and Climate Change Canada, Gatineau, Canada
Jérôme Le Coz
INRAE, UR RiverLy, River Hydraulics, Villeurbanne, France
Sophie Pearce
School of Science and the Environment, University of Worcester, Worcester, UK
Salvador Peña-Haro
Photrack AG: Flow Measurements, Ankerstrasse 16a, 8004 Zürich, Switzerland
Alonso Pizarro
Department of European and Mediterranean Cultures: Architecture, Environment and Cultural Heritage (DiCEM), University of Basilicata, 75100 Matera, Italy
Dariia Strelnikova
School of Geoinformation, Carinthia University of Applied Sciences, 9524 Villach, Austria
Flavia Tauro
Department for Innovation in Biological, Agro-food and Forest Systems, University of Tuscia, 10003 Viterbo, Italy
James Bomhof
National Hydrological Services, Environment and Climate Change Canada, Gatineau, Canada
Salvatore Grimaldi
Department for Innovation in Biological, Agro-food and Forest Systems, University of Tuscia, 10003 Viterbo, Italy
Department of Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, 10003, USA
Alain Goulet
National Hydrological Services, Environment and Climate Change Canada, Gatineau, Canada
Borbála Hortobágyi
School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UK
Magali Jodeau
Electricité de France, R&D, Chatou, France
LHSV, Chatou, France
Sabine Käfer
Verbund Hydro Power GmbH, 9500 Villach, Austria
Robert Ljubičić
Faculty of Civil Engineering, University of Belgrade, Belgrade 11120, Serbia
Ian Maddock
School of Science and the Environment, University of Worcester, Worcester, UK
Peter Mayr
flussbau iC, 9500 Villach, Austria
Gernot Paulus
School of Geoinformation, Carinthia University of Applied Sciences, 9524 Villach, Austria
Lionel Pénard
INRAE, UR RiverLy, River Hydraulics, Villeurbanne, France
Leigh Sinclair
National Hydrological Services, Environment and Climate Change Canada, Nanaimo, Canada
Salvatore Manfreda
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Napoli, Italy
Data sets
Towards harmonization of image velocimetry techniques for river surface velocity observations M.T. Perks, S.F. Dal Sasso, M. Detert, A. Hauet, E. Jamieson, J. Le Coz, S. Pearce, S. Peña-Haro, A. Pizarro, D. Strelnikova, F. Tauro, J. Bomhof, S. Grimaldi, A. Goulet, B. Hortobágyi, M. Jodeau, S. Käfer, R. Ljubičić, I. Maddock, P. Mayr, G. Paulus, L. Pénard, L. Sinclair, U. Vogel, and S. Manfreda https://doi.org/10.4121/uuid:014d56f7-06dd-49ad-a48c-2282ab10428e
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.
We present datasets acquired from seven countries across Europe and North America consisting of...
