Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 10.951 IF 10.951
  • IF 5-year value: 9.899 IF 5-year
    9.899
  • CiteScore value: 9.74 CiteScore
    9.74
  • SNIP value: 3.111 SNIP 3.111
  • IPP value: 8.99 IPP 8.99
  • SJR value: 5.229 SJR 5.229
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 38 Scimago H
    index 38
  • h5-index value: 33 h5-index 33
Discussion papers
https://doi.org/10.5194/essd-2019-133
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-133
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 26 Sep 2019

Submitted as: data description paper | 26 Sep 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

Towards harmonization of image velocimetry techniques for river surface velocity observations

Matthew T. Perks1, Silvano Fortunato Dal Sasso2, Alexandre Hauet3, Jérôme Le Coz4, Sophie Pearce5, Salvador Peña-Haro6, Flavia Tauro7, Salvatore Grimaldi7,8, Borbála Hortobágyi1, Magali Jodeau9,10, Ian Maddock5, Lionel Pénard4, and Salvatore Manfreda2 Matthew T. Perks et al.
  • 1School of Geography Politics and Sociology, Newcastle University, Newcastle upon Tyne, UK
  • 2Department of European and Mediterranean Cultures: Architecture, Environment and Cultural Heritage (DiCEM), University of Basilicata, 75100 Matera, Italy
  • 3Electricité de France, DTG, Grenoble, France
  • 4Irstea, UR RiverLy, River Hydraulics, Villeurbanne, France
  • 5School of Science and the Environment, University of Worcester, Worcester, UK
  • 6Photrack AG: Flow Measurements, Ankerstrasse 16a, 8004 Zürich, Switzerland
  • 7Department for Innovation in Biological, Agro-food and Forest Systems, University of Tuscia, Viterbo, Italy
  • 8Department of Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, USA
  • 9Electricité de France, R&D, Chatou, France
  • 10LHSV, Chatou, France

Abstract. Since the turn of the 21st Century, image based velocimetry techniques have become an increasingly popular approach for determining open-channel flow in a range of hydrological settings across Europe, and beyond. Simultaneously, a range of large-scale image velocimetry algorithms have been developed, equipped with differing image pre-processing, and analytical capabilities. Yet in operational hydrometry, these techniques are utilised by few competent authorities. Therefore, imagery collected for image velocimetry analysis, along with validation data is required both to enable inter-comparisons between these differing approaches and to test their overall efficacy. Through benchmarking exercises, it will be possible to assess which approaches are best suited for a range of fluvial settings, and to focus future software developments. Here we collate, and describe datasets acquired from six countries across Europe and Asia, consisting of videos that have been subjected to a range of pre-processing, and image velocimetry analysis (Perks et al., 2019, https://doi.org/10.4121/uuid:34764be1-31f9-4626-8b11-705b4f66b95a). Validation data is available for 12 of the 13 case studies presented enabling these data to be used for validation and accuracy assessment.

Matthew T. Perks et al.
Interactive discussion
Status: open (until 21 Nov 2019)
Status: open (until 21 Nov 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Matthew T. Perks et al.
Data sets

Data on the harmonization of image velocimetry techniques, from six different countries M. T. Perks, S. Dal Sasso, M. Detert, A. Hauet, S. Pearce, S. Peña-Haro, F. Tauro, S. Grimaldi, B. Hortobágyi, M. Jodeau, J. Le Coz, I. Maddock, L. Pénard, and S. Manfreda https://doi.org/10.4121/UUID:34764BE1-31F9-4626-8B11-705B4F66B95A

Matthew T. Perks et al.
Viewed  
Total article views: 286 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
218 63 5 286 1 0
  • HTML: 218
  • PDF: 63
  • XML: 5
  • Total: 286
  • BibTeX: 1
  • EndNote: 0
Views and downloads (calculated since 26 Sep 2019)
Cumulative views and downloads (calculated since 26 Sep 2019)
Viewed (geographical distribution)  
Total article views: 241 (including HTML, PDF, and XML) Thereof 238 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 21 Oct 2019
Download
Short summary
Image based velocimetry techniques have become an increasingly popular approach for determining open-channel flow in a range of hydrological settings. Here we present images acquired from six countries across Europe and Asia that have been subjected to a range of pre-processing methods for the purposes of image velocimetry analysis. This dataset is a resource which may be used for conducting benchmarking experiments, to assess algorithm performance, and to focus future software developments.
Image based velocimetry techniques have become an increasingly popular approach for determining...
Citation