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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

An evaluation of image velocimetry techniques under low flow conditions and high seeding densities using Unmanned Aerial Systems

Lookup NU author(s): Dr Matthew PerksORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Pearce S, Ljubicic R, Peña-Haro S, Perks MT, Tauro F, Pizarro A, Dal Sasso S, Strelnikova D, Grimaldi S, Maddock I, Paulus G, Plavsic J, Prodanovic D, Manfreda S

Publication type: Article

Publication status: Published

Journal: Remote Sensing

Year: 2020

Volume: 12

Issue: 2

Online publication date: 09/01/2020

Acceptance date: 06/01/2020

Date deposited: 09/01/2020

ISSN (electronic): 2072-4292

Publisher: MDPI AG

URL: https://doi.org/10.3390/rs12020232

DOI: 10.3390/rs12020232

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Funding

Funder referenceFunder name
CA16219

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