Journal
CATENA
Volume 172, Issue -, Pages 378-386Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.catena.2018.09.009
Keywords
PTV-Stream; PTV; Surface flow velocity; LSPIV; Image analysis
Funding
- POR-FESR 2014-2020 [737616 INFRASAFE]
- UNESCO Chair in Water Resources Management and Culture
- University of Tuscia
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Particle tracking velocimetry (PTV) is a promising image-based approach for remote streamflow measurements in natural environments. However, most PTV approaches require highly-defined round-shaped tracers, which are often difficult to observe outdoors. PTV-Stream offers a versatile alternative to cross-correlation-based PTV by affording the identification and tracking of features of any shape transiting in the field of view. This nearest neighbor algorithm is inherently thought for estimating surface flow velocity of streams in outdoor conditions. The procedure allows for reconstructing and filtering the trajectories of features that are more likely to pertain to actual objects transiting in the field of view rather than to water reflections. The procedure is computationally efficient and is demonstrated to yield accurate measurements even in case of downsampled image sequences.
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