Articles | Volume 24, issue 3
https://doi.org/10.5194/hess-24-1429-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-1429-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical Note: Flow velocity and discharge measurement in rivers using terrestrial and unmanned-aerial-vehicle imagery
Anette Eltner
CORRESPONDING AUTHOR
Institute of Photogrammetry and Remote Sensing, Technische
Universität Dresden, Dresden, 01069, Germany
Hannes Sardemann
Institute of Photogrammetry and Remote Sensing, Technische
Universität Dresden, Dresden, 01069, Germany
Jens Grundmann
Institute of Hydrology and Meteorology, Technische Universität Dresden, Dresden, 01069, Germany
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- Proglacial river stage derived from georectified time-lapse camera images, Inglefield Land, Northwest Greenland S. Goldstein et al. 10.3389/feart.2023.960363
- Assessing and Mitigating Ice-Jam Flood Hazards and Risks: A European Perspective K. Lindenschmidt et al. 10.3390/w15010076
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- A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations R. Ljubičić et al. 10.5194/hess-25-5105-2021
- Large-Scale Particle Image Velocimetry to Measure Streamflow from Videos Recorded from Unmanned Aerial Vehicle and Fixed Imaging System W. Liu et al. 10.3390/rs13142661
- A Method for Analysis of Spatial Uncertainty in Image Based Surface Velocimetry S. Schweitzer & E. Cowen 10.3389/frwa.2022.744278
- River cross-section measurement using unreviewed aerial vehicle with an improved bathymetry instrument P. Gu et al. 10.1016/j.jhydrol.2023.129737
- An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems S. Pearce et al. 10.3390/rs12020232
- Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements G. Bodart et al. 10.1029/2023WR034740
- Open-channel flow rate measurement estimation using videos R. Ljubičić & D. Ivetić 10.5937/GK23055045L
62 citations as recorded by crossref.
- Satellite Video Remote Sensing for Estimation of River Discharge C. Masafu et al. 10.1029/2023GL105839
- Moving Aircraft River Velocimetry (MARV): Framework and Proof‐of‐Concept on the Tanana River C. Legleiter et al. 10.1029/2022WR033822
- A two‐dimensional, reach‐scale implementation of space‐time image velocimetry (STIV) and comparison to particle image velocimetry (PIV) C. Legleiter et al. 10.1002/esp.5878
- Hydro‐morphological mapping of river reaches using videos captured with UAS A. Eltner et al. 10.1002/esp.5205
- A framework to facilitate development and testing of image‐based river velocimetry algorithms C. Legleiter & P. Kinzel 10.1002/esp.5772
- Estimating velocity distribution and flood discharge at river bridges using entropy theory – insights from computational fluid dynamics flow fields F. Bahmanpouri et al. 10.5194/hess-28-3717-2024
- A method of applying deep learning based optical flow algorithm to river flow discharge measurement J. Wang et al. 10.1088/1361-6501/ad3183
- Energy Harvesting from Water Flow by Using Piezoelectric Materials Z. Li et al. 10.1002/aesr.202300235
- Exploitation du système de jaugeage par vidéo Flowsnap sur le territoire du Grand Delta G. Fourquet et al. 10.1080/27678490.2023.2183910
- Depths Inferred from Velocities Estimated by Remote Sensing: A Flow Resistance Equation-Based Approach to Mapping Multiple River Attributes at the Reach Scale C. Legleiter & P. Kinzel 10.3390/rs13224566
- Synthetic River Flow Videos for Evaluating Image‐Based Velocimetry Methods G. Bodart et al. 10.1029/2022WR032251
- Space-time image velocimetry in blurred scenes based on BSTI-DCGAN data augmentation Q. Hu et al. 10.1088/1361-6501/ad4dd0
- Enhancement of two‐dimensional hydrodynamic modelling based on UAV‐ flow velocity data F. Wolff et al. 10.1002/esp.5853
- Surface Flow Velocities From Space: Particle Image Velocimetry of Satellite Video of a Large, Sediment-Laden River C. Legleiter & P. Kinzel 10.3389/frwa.2021.652213
- Fundamental Study on the Development of an Inexpensive Velocity Meter for River Floods Using Stagnation Points A. Ouchi et al. 10.3390/w15142625
- Estimating the Average River Cross‐Section Velocity by Observing Only One Surface Velocity Value and Calibrating the Entropic Parameter F. Bahmanpouri et al. 10.1029/2021WR031821
- Challenges with Regard to Unmanned Aerial Systems (UASs) Measurement of River Surface Velocity Using Doppler Radar F. Bandini et al. 10.3390/rs14051277
- River velocity measurements using optical flow algorithm and unoccupied aerial vehicles: A case study J. Jyoti et al. 10.1016/j.flowmeasinst.2023.102341
- A Novel Efficient Method of Estimating Suspended‐To‐Total Sediment Load Fraction in Natural Rivers H. Noh et al. 10.1029/2022WR034401
- Ice-Jam Investigations along the Oder River Based on Satellite and UAV Data F. Möldner et al. 10.3390/w16101323
- Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow A. Pizarro et al. 10.5194/hess-24-5173-2020
- VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers A. Pizarro et al. 10.1016/j.softx.2022.101173
- A Complete Guide to Extraction Methods of Microplastics from Complex Environmental Matrices M. Rani et al. 10.3390/molecules28155710
- A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management N. Ubina & S. Cheng 10.3390/drones6010012
- Remote Sensing of Riparian Ecosystems M. Rusnák et al. 10.3390/rs14112645
- Discharge Estimation with the Use of Unmanned Aerial Vehicles (UAVs) and Hydraulic Methods in Shallow Rivers S. Lagogiannis & E. Dimitriou 10.3390/w13202808
- Intercomparison of surface velocimetry techniques for drone-based marine current characterization I. Fairley et al. 10.1016/j.ecss.2024.108682
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- An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) C. Legleiter & P. Kinzel 10.1002/rra.4333
- ANDROMEDE — A software platform for optical surface velocity measurements L. Cassan et al. 10.1016/j.envsoft.2023.105883
- Obtaining surface current field from drone imaging F. Macedo et al. 10.1590/2675-2824071.22109fm
- Instantaneous River‐Wide Water Surface Velocity Field Measurements at Centimeter Scales Using Infrared Quantitative Image Velocimetry S. Schweitzer & E. Cowen 10.1029/2020WR029279
- Research of Security Routing Protocol for UAV Communication Network Based on AODV X. Tan et al. 10.3390/electronics9081185
- KLT-IV v1.0: image velocimetry software for use with fixed and mobile platforms M. Perks 10.5194/gmd-13-6111-2020
- Advancing river monitoring using image-based techniques: challenges and opportunities S. Manfreda et al. 10.1080/02626667.2024.2333846
- Streamflow Prediction in Poorly Gauged Watersheds in the United States Through Data‐Driven Sparse Sensing K. Zhang et al. 10.1029/2022WR034092
- Prediction and Estimation of River Velocity Based on GAN and Multifeature Fusion Y. Wang et al. 10.1155/2022/7316133
- SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation R. Ljubičić et al. 10.1016/j.envsoft.2023.105938
- Photogrammetry for Free Surface Flow Velocity Measurement: From Laboratory to Field Measurements H. Trieu et al. 10.3390/w13121675
- Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity M. Jolley et al. 10.3389/frwa.2021.709269
- Comparative Assessment of Different Image Velocimetry Techniques for Measuring River Velocities Using Unmanned Aerial Vehicle Imagery F. Wijaya et al. 10.3390/w15223941
- Photochemical reactions and the self-depuration of sunlit freshwaters D. Vione 10.1088/2752-664X/ac8eb8
- Framework for UAV-based river flow velocity determination employing optical recognition A. Kriščiūnas et al. 10.1016/j.jag.2024.104154
- Natural surface floaters in image-based river surface velocimetry: Insights from a case study H. Trieu et al. 10.1016/j.flowmeasinst.2024.102557
- Photogrammetric rockfall monitoring in Alpine environments using M3C2 and tracked motion vectors L. Lucks et al. 10.1016/j.ophoto.2024.100058
- Refining image‐velocimetry performances for streamflow monitoring: Seeding metrics to errors minimization A. Pizarro et al. 10.1002/hyp.13919
- Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. 10.1029/2021WR029925
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
- Increasing LSPIV performances by exploiting the seeding distribution index at different spatial scales S. Dal Sasso et al. 10.1016/j.jhydrol.2021.126438
- Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in Rivers S. Dal Sasso et al. 10.3390/rs12111789
- Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards R. Antoine et al. 10.1007/s10712-020-09611-7
- Detecting sun glint in UAV RGB images at different times using a deep learning algorithm J. Chen et al. 10.1016/j.ecoinf.2024.102660
- River Surface Velocity Measurement for Rapid Levee Breach Emergency Response Based on DFP-P-LK Algorithm Z. Xu et al. 10.3390/s24165249
- Model simplification to simulate groundwater recharge from a perched gravel-bed river A. Di Ciacca et al. 10.1016/j.jhydrol.2024.132016
- Reach-Scale Mapping of Surface Flow Velocities from Thermal Images Acquired by an Uncrewed Aircraft System along the Sacramento River, California, USA P. Kinzel et al. 10.3390/w16131870
- Proglacial river stage derived from georectified time-lapse camera images, Inglefield Land, Northwest Greenland S. Goldstein et al. 10.3389/feart.2023.960363
- Assessing and Mitigating Ice-Jam Flood Hazards and Risks: A European Perspective K. Lindenschmidt et al. 10.3390/w15010076
- Estimation of Motion Statistics From Statistics of Received Power in Low-Power IoT Sensing Nodes W. Dargie 10.1109/LSENS.2024.3486582
- A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations R. Ljubičić et al. 10.5194/hess-25-5105-2021
- Large-Scale Particle Image Velocimetry to Measure Streamflow from Videos Recorded from Unmanned Aerial Vehicle and Fixed Imaging System W. Liu et al. 10.3390/rs13142661
- A Method for Analysis of Spatial Uncertainty in Image Based Surface Velocimetry S. Schweitzer & E. Cowen 10.3389/frwa.2022.744278
- River cross-section measurement using unreviewed aerial vehicle with an improved bathymetry instrument P. Gu et al. 10.1016/j.jhydrol.2023.129737
3 citations as recorded by crossref.
- An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems S. Pearce et al. 10.3390/rs12020232
- Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements G. Bodart et al. 10.1029/2023WR034740
- Open-channel flow rate measurement estimation using videos R. Ljubičić & D. Ivetić 10.5937/GK23055045L
Latest update: 26 Dec 2024
Short summary
An automatic workflow is introduced to measure surface flow velocities in rivers. The provided tool enables the measurement of spatially distributed surface flow velocities independently of the image acquisition perspective. Furthermore, the study illustrates how river discharge in previously ungauged and unmeasured regions can be retrieved, considering the image-based flow velocities and digital elevation models of the studied river reach reconstructed with UAV photogrammetry.
An automatic workflow is introduced to measure surface flow velocities in rivers. The provided...