Towards harmonisation of image velocimetry techniques for river surface velocity observations

Author:

Perks Matthew T.ORCID,Dal Sasso Silvano Fortunato,Hauet Alexandre,Jamieson Elizabeth,Le Coz JérômeORCID,Pearce SophieORCID,Peña-Haro Salvador,Pizarro AlonsoORCID,Strelnikova DariiaORCID,Tauro FlaviaORCID,Bomhof James,Grimaldi SalvatoreORCID,Goulet Alain,Hortobágyi Borbála,Jodeau Magali,Käfer Sabine,Ljubičić Robert,Maddock IanORCID,Mayr Peter,Paulus Gernot,Pénard Lionel,Sinclair Leigh,Manfreda SalvatoreORCID

Abstract

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 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 (Perks et al., 2020, https://doi.org/10.4121/uuid:014d56f7-06dd-49ad-a48c-2282ab10428e). Reference data are available for 12 of the 13 case studies presented, enabling these data to be used for reference and accuracy assessment.

Funder

European Cooperation in Science and Technology

European Regional Development Fund

Ministero degli Affari Esteri e della Cooperazione Internazionale

Publisher

Copernicus GmbH

Subject

General Earth and Planetary Sciences

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