Towards harmonisation of image velocimetry techniques for river surface velocity observations
<p>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 d...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-07-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/12/1545/2020/essd-12-1545-2020.pdf |
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Article |
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DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
M. T. Perks S. F. Dal Sasso A. Hauet E. Jamieson J. Le Coz S. Pearce S. Peña-Haro A. Pizarro D. Strelnikova F. Tauro J. Bomhof S. Grimaldi S. Grimaldi A. Goulet B. Hortobágyi M. Jodeau M. Jodeau S. Käfer R. Ljubičić I. Maddock P. Mayr G. Paulus L. Pénard L. Sinclair S. Manfreda |
| spellingShingle |
M. T. Perks S. F. Dal Sasso A. Hauet E. Jamieson J. Le Coz S. Pearce S. Peña-Haro A. Pizarro D. Strelnikova F. Tauro J. Bomhof S. Grimaldi S. Grimaldi A. Goulet B. Hortobágyi M. Jodeau M. Jodeau S. Käfer R. Ljubičić I. Maddock P. Mayr G. Paulus L. Pénard L. Sinclair S. Manfreda Towards harmonisation of image velocimetry techniques for river surface velocity observations Earth System Science Data |
| author_facet |
M. T. Perks S. F. Dal Sasso A. Hauet E. Jamieson J. Le Coz S. Pearce S. Peña-Haro A. Pizarro D. Strelnikova F. Tauro J. Bomhof S. Grimaldi S. Grimaldi A. Goulet B. Hortobágyi M. Jodeau M. Jodeau S. Käfer R. Ljubičić I. Maddock P. Mayr G. Paulus L. Pénard L. Sinclair S. Manfreda |
| author_sort |
M. T. Perks |
| title |
Towards harmonisation of image velocimetry techniques for river surface velocity observations |
| title_short |
Towards harmonisation of image velocimetry techniques for river surface velocity observations |
| title_full |
Towards harmonisation of image velocimetry techniques for river surface velocity observations |
| title_fullStr |
Towards harmonisation of image velocimetry techniques for river surface velocity observations |
| title_full_unstemmed |
Towards harmonisation of image velocimetry techniques for river surface velocity observations |
| title_sort |
towards harmonisation of image velocimetry techniques for river surface velocity observations |
| publisher |
Copernicus Publications |
| series |
Earth System Science Data |
| issn |
1866-3508 1866-3516 |
| publishDate |
2020-07-01 |
| description |
<p>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 that are 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 reference 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 seven countries across Europe and North America, consisting of videos that have been subjected to a range of pre-processing and image velocimetry analyses (<span class="cit" id="xref_altparen.1"><a href="#bib1.bibx21">Perks et al.</a>, <a href="#bib1.bibx21">2020</a></span>, <a href="https://doi.org/10.4121/uuid:014d56f7-06dd-49ad-a48c-2282ab10428e">https://doi.org/10.4121/uuid:014d56f7-06dd-49ad-a48c-2282ab10428e</a>). Reference data are available for 12 of the 13 case studies presented, enabling these data to be used for reference and accuracy assessment.</p> |
| url |
https://essd.copernicus.org/articles/12/1545/2020/essd-12-1545-2020.pdf |
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doaj-901aaa9410ac4d06b8c5625b687399212020-11-25T03:18:28ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162020-07-01121545155910.5194/essd-12-1545-2020Towards harmonisation of image velocimetry techniques for river surface velocity observationsM. T. Perks0S. F. Dal Sasso1A. Hauet2E. Jamieson3J. Le Coz4S. Pearce5S. Peña-Haro6A. Pizarro7D. Strelnikova8F. Tauro9J. Bomhof10S. Grimaldi11S. Grimaldi12A. Goulet13B. Hortobágyi14M. Jodeau15M. Jodeau16S. Käfer17R. Ljubičić18I. Maddock19P. Mayr20G. Paulus21L. Pénard22L. Sinclair23S. Manfreda24School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UKDepartment of European and Mediterranean Cultures: Architecture, Environment and Cultural Heritage (DiCEM), University of Basilicata, 75100 Matera, ItalyElectricité de France, DTG, Grenoble, FranceNational Hydrological Services, Environment and Climate Change Canada, Gatineau, CanadaINRAE, UR RiverLy, River Hydraulics, Villeurbanne, FranceSchool of Science and the Environment, University of Worcester, Worcester, UKPhotrack AG: Flow Measurements, Ankerstrasse 16a, 8004 Zürich, SwitzerlandDepartment of European and Mediterranean Cultures: Architecture, Environment and Cultural Heritage (DiCEM), University of Basilicata, 75100 Matera, ItalySchool of Geoinformation, Carinthia University of Applied Sciences, 9524 Villach, AustriaDepartment for Innovation in Biological, Agro-food and Forest Systems, University of Tuscia, 10003 Viterbo, ItalyNational Hydrological Services, Environment and Climate Change Canada, Gatineau, CanadaDepartment for Innovation in Biological, Agro-food and Forest Systems, University of Tuscia, 10003 Viterbo, ItalyDepartment of Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, 10003, USANational Hydrological Services, Environment and Climate Change Canada, Gatineau, CanadaSchool of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UKElectricité de France, R&D, Chatou, FranceLHSV, Chatou, FranceVerbund Hydro Power GmbH, 9500 Villach, AustriaFaculty of Civil Engineering, University of Belgrade, Belgrade 11120, SerbiaSchool of Science and the Environment, University of Worcester, Worcester, UKflussbau iC, 9500 Villach, AustriaSchool of Geoinformation, Carinthia University of Applied Sciences, 9524 Villach, AustriaINRAE, UR RiverLy, River Hydraulics, Villeurbanne, FranceNational Hydrological Services, Environment and Climate Change Canada, Nanaimo, CanadaDepartment of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Napoli, Italy<p>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 that are 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 reference 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 seven countries across Europe and North America, consisting of videos that have been subjected to a range of pre-processing and image velocimetry analyses (<span class="cit" id="xref_altparen.1"><a href="#bib1.bibx21">Perks et al.</a>, <a href="#bib1.bibx21">2020</a></span>, <a href="https://doi.org/10.4121/uuid:014d56f7-06dd-49ad-a48c-2282ab10428e">https://doi.org/10.4121/uuid:014d56f7-06dd-49ad-a48c-2282ab10428e</a>). Reference data are available for 12 of the 13 case studies presented, enabling these data to be used for reference and accuracy assessment.</p>https://essd.copernicus.org/articles/12/1545/2020/essd-12-1545-2020.pdf |