Flow velocity and discharge measurement in rivers using terrestrial and UAV imagery

Eltner, Anette

Flow velocity and discharge measurement in rivers using terrestrial and UAV imagery

datacite.FundingReference.funderName datacite.FundingReference.funderName	Europäische Union
Contributing person datacite.contributor.ProjectLeader	Schütze, Niels (orcid: https://orcid.org/0000-0002-2376-528X)
Description of the data datacite.resourceType	- video sequences and orientation information to measure river surface flow velocities - video sequences used to estimate flow velocity from terrestrial and aerial perspective - orientation data to reference image-based measurements
Type of the data datacite.resourceTypeGeneral	Audiovisual
Type of the data datacite.resourceTypeGeneral	Dataset
Total size of the dataset datacite.size	1538565089
Author dc.contributor.author	Eltner, Anette
Upload date dc.date.accessioned	2019-06-11T11:41:44Z
Publication date dc.date.available	2019-06-11T11:41:44Z
Publication date dc.date.available	2026-05-18T11:42:37Z
Data of data creation dc.date.created	2019
Publication date dc.date.issued	2019-06-11
Abstract of the dataset dc.description.abstract	An automatic workflow is introduced, including an image-based tracking tool, to measure surface flow velocities in rivers. The method is based on PTV and comprises an automatic definition of the search area for particles to track. Tracking is performed in the original images. Only the final tracks are geo-referenced, intersecting the image observations with water surface in object space. Detected particles and corresponding feature tracks are filtered considering particle and flow characteristics to mitigate the impact of sun glare and outliers. The method can be applied to different perspectives, including terrestrial and aerial (i.e. UAV) imagery. To account for camera movements images can be co-registered in an automatic approach. In addition to velocity estimates, discharge is calculated using the surface velocities and wetted cross-section derived from surface models computed with SfM and multi-media photogrammetry. The workflow is tested at two river reaches (paved and natural) in Germany. Reference data is provided by ADCP measurements. At the paved river reach highest deviations of flow velocity and discharge reach 5% and 4%, respectively. At the natural river deviations are larger (26% and 20%, respectively) due to the irregular cross-section shapes hindering accurate contrasting of ADCP- and image-based results. The provided tool enables the measurement of surface flow velocities independently of the perspective from which images are acquired. With the contact-less measurement spatially distributed velocity fields can be estimated and river discharge in previously ungauged and unmeasured regions can be calculated.
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/2305
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-32
Publisher dc.publisher	Technische Universität Dresden
Licence dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
Specification of the discipline(s) dc.subject.classification	3::34::317
Title of the dataset dc.title	Flow velocity and discharge measurement in rivers using terrestrial and UAV imagery
Project abstract opara.project.description	The project goal is the development of innovative techniques for spatio-temporal high resolution monitoring and small-scale simulation of extreme events. In a cooperation between the chairs of Hydrology, Meteorology, Geoinformatics and Photogrammetry, of the TU Dresden, new types of operational monitoring systems will be developed. Existing monitoring networks will be densified using modern low-cost sensors, specific remote sensing data and geographical information systems. Additionally, historical analyses and predictive modelling of small-scale extreme events with different climate scenarios will support to predict the expected effects of climate change. The developed information will serve as a base for upcoming early warning systems and future adjustment strategies.
Project title opara.project.title	EXTRUSO - Extreme Events in Small and Medium Scale Catchments (EXTRUSO)

Files

Original bundle

Now showing 1 - 1 of 1

Name:: FlowVeloRawData.zip
Size:: 1.43 GB
Format:
Description:: zip of folders containing raw data for both river reaches

Download

Collections

TU Dresden Data Publications