41 citations as recorded by crossref.

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2. On the Accuracy of Particle Image Velocimetry with Citizen Videos—Five Typical Case Studies E. Rozos et al. https://doi.org/10.3390/hydrology9050072
3. Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis G. Nassaji Matin et al. https://doi.org/10.1002/rra.70162
4. Surface Velocity to Depth-Averaged Velocity—A Review of Methods to Estimate Alpha and Remaining Challenges H. Biggs et al. https://doi.org/10.3390/w15213711
5. On the Deployment of Out-of-the-Box Embedded Devices for Self-Powered River Surface Flow Velocity Monitoring at the Edge A. Livoroi et al. https://doi.org/10.3390/app11157027
6. Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. https://doi.org/10.1029/2021WR029925
7. From PIV to LSPIV: Harnessing deep learning for environmental flow velocimetry J. Tlhomole et al. https://doi.org/10.1016/j.jhydrol.2024.132446
8. Increasing LSPIV performances by exploiting the seeding distribution index at different spatial scales S. Dal Sasso et al. https://doi.org/10.1016/j.jhydrol.2021.126438
9. Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements G. Bodart et al. https://doi.org/10.1029/2023WR034740
10. 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 https://doi.org/10.3390/rs13224566
11. Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera R. Tsubaki & R. Zhu https://doi.org/10.3389/frwa.2021.700946
12. The impacts of low flow, ice‐cover and ice thickness on sediment load in a sub‐arctic river – Modelling sediment transport with particle image velocimetry calibration data sets V. Pajunen et al. https://doi.org/10.1002/esp.5809
13. Advancing river monitoring using image-based techniques: challenges and opportunities S. Manfreda et al. https://doi.org/10.1080/02626667.2024.2333846
14. A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations R. Ljubičić et al. https://doi.org/10.5194/hess-25-5105-2021
15. VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers A. Pizarro et al. https://doi.org/10.1016/j.softx.2022.101173
16. A robust filtering algorithm based on the estimation of tracer visibility and stability for large scale particle image velocimetry L. Li & H. Yan https://doi.org/10.1016/j.flowmeasinst.2022.102204
17. Adaptively monitoring streamflow using a stereo computer vision system N. Hutley et al. https://doi.org/10.5194/hess-27-2051-2023
18. A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV) C. Legleiter & M. Dille https://doi.org/10.1016/j.softx.2024.101711
19. TiFA: A new LSPIV Post-Processing algorithm for river surface velocity measurement under low tracer density conditions Q. Yu et al. https://doi.org/10.1016/j.jhydrol.2025.133543
20. River Surface Velocity Measurement for Rapid Levee Breach Emergency Response Based on DFP-P-LK Algorithm Z. Xu et al. https://doi.org/10.3390/s24165249
21. Unsupervised image velocimetry for automated computation of river flow velocities M. Perks et al. https://doi.org/10.5194/hess-29-3727-2025
22. The Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) C. Legleiter & P. Kinzel https://doi.org/10.1002/rra.4147
23. Fully non-contact discharge measurement in shallow streams via physics-based water-surface image analysis G. Dolcetti et al. https://doi.org/10.1080/02626667.2025.2596270
24. Hydro‐morphological mapping of river reaches using videos captured with UAS A. Eltner et al. https://doi.org/10.1002/esp.5205
25. Recent Advancements and Perspectives in UAS-Based Image Velocimetry S. Dal Sasso et al. https://doi.org/10.3390/drones5030081
26. Synthetic River Flow Videos for Evaluating Image‐Based Velocimetry Methods G. Bodart et al. https://doi.org/10.1029/2022WR032251
27. SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation R. Ljubičić et al. https://doi.org/10.1016/j.envsoft.2023.105938
28. Comparative Assessment of Different Image Velocimetry Techniques for Measuring River Velocities Using Unmanned Aerial Vehicle Imagery F. Wijaya et al. https://doi.org/10.3390/w15223941
29. A framework to facilitate development and testing of image‐based river velocimetry algorithms C. Legleiter & P. Kinzel https://doi.org/10.1002/esp.5772
30. Refining image-based approaches for river monitoring: a focus on graphical enhancement and software parameter sensitivity F. Alongi et al. https://doi.org/10.1016/j.jhydrol.2026.135780
31. Image-based river discharge estimation by merging heterogeneous data with information entropy theory N. Chahrour et al. https://doi.org/10.1016/j.flowmeasinst.2021.102039
32. An automatic ANN-based procedure for detecting optimal image sequences supporting LS-PIV applications for rivers monitoring F. Alongi et al. https://doi.org/10.1016/j.jhydrol.2023.130233
33. Addressing how spatial resolution affects image velocimetry outputs: implications for measurements from space H. Dixey et al. https://doi.org/10.1080/02626667.2025.2580574
34. Evaluation of Water Surface Velocity Distribution Using a Quasi-Static Stabilization Technique for Social Sensing J. Kashiwada & Y. Nihei https://doi.org/10.3390/w18091054
35. БПЛА в геоэкологических и гидрологических исследованиях . Федоровский https://doi.org/10.35735/26870509_2026_25_5
36. Rapid Detection of the Change in Surface Flow Patterns Near Fish Passages at Hydropower Dams With the Use of UAS Based Videos Under Controlled Discharge Conditions D. Strelnikova et al. https://doi.org/10.3389/frsen.2022.798973
37. A two‐dimensional, reach‐scale implementation of space‐time image velocimetry (STIV) and comparison to particle image velocimetry (PIV) C. Legleiter et al. https://doi.org/10.1002/esp.5878
38. River Surface Velocity Estimation Using Optical Flow Velocimetry Improved With Attention Mechanism and Position Encoding Y. Cao et al. https://doi.org/10.1109/JSEN.2022.3186972
39. A simplified method for estimating the alpha coefficient in surface velocity based river discharge measurements D. Pumo et al. https://doi.org/10.1016/j.jhydrol.2024.132468
40. Galois field transformation effect on space-time-volume velocimetry method for water surface velocity video analysis B. Sirenden et al. https://doi.org/10.1007/s11042-022-13627-z
41. River velocity measurements using optical flow algorithm and unoccupied aerial vehicles: A case study J. Jyoti et al. https://doi.org/10.1016/j.flowmeasinst.2023.102341