Video imagery and flow measurements from five surveys on the River Tweed, July 2024-June 2025
type: Dataset
citation: Mandipe, S. (2025). Video imagery and flow measurements from five surveys on the River Tweed, July 2024-June 2025. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/c5563ca5-60b9-475b-a4a4-c2d6209674ea
description: This dataset contains river surface velocity data from video footage and from a kinematic current meter, during five surveys on the River Tweed in Scotland from July 2024 to June 2025. For the video footage, different Ground Control Point (GCP) positions and camera angles are adopted for a comparison of error from various image velocimetry techniques. The footage was captured using a nadir angle with a Unmanned Aerial System (UAS), as well as from an oblique view using an iPhone 14 Pro Max camera, with GCPs positioned at the free water surface and at an elevation above the free water surface. The footage frames were extracted and processed using three different image velocimetry softwares (Particle Tracking Velocimetry (PTV), Particle Image Velocimetry (PIV) and Space-Time Image Velocimetry (STIV)). Raw surface velocity outputs from the softwares are recorded herein. The data also includes the extracted frames from the geometrically corrected image velocimetry frames (orthophotos) from the three different viewing angles, and values for tracer density from a preliminary analysis is also included. Discharge data was collated during the final survey in June 2025 using the velocity-area method and salt dilution gauging. This data is recorded alongside an estimation of discharge from image velocimetry surface velocity data using the trapezoidal area of the river. The data was collated for the purpose of evaluating error propagation in image velocimetry applications under operational and sub-optimal environmental conditions. It was collected as part of a PhD project developed to assess the operational efficacy of image velocimetry applications in the UK. The data is complete and unfiltered.
is accessible for free: true
date published: 2025-09-17
keywords: image velocimetry
keywords: unmanned aerial system (UAS)
keywords: Hydrology
keywords: hydrology
keywords: image processing
keywords: river
creator: Mandipe, S.
temporal coverage: 2024-06-01/2025-07-31
spatial coverage: bbox0
funding: PhD Scholarship
license: Open Government Licence v3
distribution: distribution0
publisher: NERC EDS Environmental Information Data Centre
provider: NERC EDS Environmental Information Data Centre
included in data catalog: Environmental Information Data Centre

Hydrology
type: DefinedTerm

hydrology
type: DefinedTerm
in defined term set: https://www.eionet.europa.eu/gemet/

image processing
type: DefinedTerm
in defined term set: https://www.eionet.europa.eu/gemet/

river
type: DefinedTerm
in defined term set: https://www.eionet.europa.eu/gemet/

Environmental Information Data Centre
type: DataCatalog
alternate name: EIDC

NERC EDS Environmental Information Data Centre
type: Organization

Open Government Licence v3
type: CreativeWork
alternate name: OGL-UK-3.0

geoshape0
type: GeoShape
box: -8.648 54.634, -0.728 60.861

Mandipe, S.
type: Person
family name: Mandipe
given name: S.
affiliation: UK Centre for Ecology & Hydrology

PhD Scholarship
type: MonetaryGrant
funder: NERC

NERC
type: Organization

distribution0
type: DataDownload
encoding format: text/directory

UK Centre for Ecology & Hydrology
type: Organization