38 citations as recorded by crossref.

1. An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) C. Legleiter & P. Kinzel 10.1002/rra.4333
2. On the Accuracy of Particle Image Velocimetry with Citizen Videos—Five Typical Case Studies E. Rozos et al. 10.3390/hydrology9050072
3. Surface Velocity to Depth-Averaged Velocity—A Review of Methods to Estimate Alpha and Remaining Challenges H. Biggs et al. 10.3390/w15213711
4. 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. 10.3390/app11157027
5. Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. 10.1029/2021WR029925
6. From PIV to LSPIV: Harnessing deep learning for environmental flow velocimetry J. Tlhomole et al. 10.1016/j.jhydrol.2024.132446
7. Increasing LSPIV performances by exploiting the seeding distribution index at different spatial scales S. Dal Sasso et al. 10.1016/j.jhydrol.2021.126438
8. Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements G. Bodart et al. 10.1029/2023WR034740
9. 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
10. Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera R. Tsubaki & R. Zhu 10.3389/frwa.2021.700946
11. 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. 10.1002/esp.5809
12. Advancing river monitoring using image-based techniques: challenges and opportunities S. Manfreda et al. 10.1080/02626667.2024.2333846
13. 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
14. VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers A. Pizarro et al. 10.1016/j.softx.2022.101173
15. A robust filtering algorithm based on the estimation of tracer visibility and stability for large scale particle image velocimetry L. Li & H. Yan 10.1016/j.flowmeasinst.2022.102204
16. Adaptively monitoring streamflow using a stereo computer vision system N. Hutley et al. 10.5194/hess-27-2051-2023
17. A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV) C. Legleiter & M. Dille 10.1016/j.softx.2024.101711
18. River Surface Velocity Measurement for Rapid Levee Breach Emergency Response Based on DFP-P-LK Algorithm Z. Xu et al. 10.3390/s24165249
19. The Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) C. Legleiter & P. Kinzel 10.1002/rra.4147
20. Hydro‐morphological mapping of river reaches using videos captured with UAS A. Eltner et al. 10.1002/esp.5205
21. Recent Advancements and Perspectives in UAS-Based Image Velocimetry S. Dal Sasso et al. 10.3390/drones5030081
22. Synthetic River Flow Videos for Evaluating Image‐Based Velocimetry Methods G. Bodart et al. 10.1029/2022WR032251
23. SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation R. Ljubičić et al. 10.1016/j.envsoft.2023.105938
24. Comparative Assessment of Different Image Velocimetry Techniques for Measuring River Velocities Using Unmanned Aerial Vehicle Imagery F. Wijaya et al. 10.3390/w15223941
25. A framework to facilitate development and testing of image‐based river velocimetry algorithms C. Legleiter & P. Kinzel 10.1002/esp.5772
26. Image-based river discharge estimation by merging heterogeneous data with information entropy theory N. Chahrour et al. 10.1016/j.flowmeasinst.2021.102039
27. An automatic ANN-based procedure for detecting optimal image sequences supporting LS-PIV applications for rivers monitoring F. Alongi et al. 10.1016/j.jhydrol.2023.130233
28. 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. 10.3389/frsen.2022.798973
29. 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
30. River Surface Velocity Estimation Using Optical Flow Velocimetry Improved With Attention Mechanism and Position Encoding Y. Cao et al. 10.1109/JSEN.2022.3186972
31. A simplified method for estimating the alpha coefficient in surface velocity based river discharge measurements D. Pumo et al. 10.1016/j.jhydrol.2024.132468
32. Galois field transformation effect on space-time-volume velocimetry method for water surface velocity video analysis B. Sirenden et al. 10.1007/s11042-022-13627-z
33. River velocity measurements using optical flow algorithm and unoccupied aerial vehicles: A case study J. Jyoti et al. 10.1016/j.flowmeasinst.2023.102341
34. Towards harmonisation of image velocimetry techniques for river surface velocity observations M. Perks et al. 10.5194/essd-12-1545-2020
35. Open-channel flow rate measurement estimation using videos R. Ljubičić & D. Ivetić 10.5937/GK23055045L
36. Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity M. Jolley et al. 10.3389/frwa.2021.709269
37. Refining image‐velocimetry performances for streamflow monitoring: Seeding metrics to errors minimization A. Pizarro et al. 10.1002/hyp.13919
38. Moving Aircraft River Velocimetry (MARV): Framework and Proof‐of‐Concept on the Tanana River C. Legleiter et al. 10.1029/2022WR033822