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.We present both the raw footage and processed imagery along with information about the processing parameters used. Validation data is available for 12 of the 13 case studies presented enabling these data to be used for validation and accuracy assessment.
Reference: Matthew T. Perks, Silvano Fortunato Dal Sasso, Alexandre Hauet, Sophie Pearce, Salvador Peña-Haro, Flavia Tauro, Salvatore Grimaldi, Borbála Hortobágyi, Magali Jodeau, Jérôme Le Coz, Ian Maddock, Lionel Pénard, and Salvatore Manfreda, Towards harmonization of image velocimetry techniques for river surface velocity observations, Earth System Science Data (under review), 2019.