Articles | Volume 13, issue 12
https://doi.org/10.5194/gmd-13-6111-2020
© 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/gmd-13-6111-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
KLT-IV v1.0: image velocimetry software for use with fixed and mobile platforms
School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, United Kingdom
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Cited
36 citations as recorded by crossref.
- An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) C. Legleiter & P. Kinzel 10.1002/rra.4333
- On the Accuracy of Particle Image Velocimetry with Citizen Videos—Five Typical Case Studies E. Rozos et al. 10.3390/hydrology9050072
- Surface Velocity to Depth-Averaged Velocity—A Review of Methods to Estimate Alpha and Remaining Challenges H. Biggs et al. 10.3390/w15213711
- 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
- Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. 10.1029/2021WR029925
- Increasing LSPIV performances by exploiting the seeding distribution index at different spatial scales S. Dal Sasso et al. 10.1016/j.jhydrol.2021.126438
- Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements G. Bodart et al. 10.1029/2023WR034740
- 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
- Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera R. Tsubaki & R. Zhu 10.3389/frwa.2021.700946
- 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
- Advancing river monitoring using image-based techniques: challenges and opportunities S. Manfreda et al. 10.1080/02626667.2024.2333846
- 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
- VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers A. Pizarro et al. 10.1016/j.softx.2022.101173
- 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
- Adaptively monitoring streamflow using a stereo computer vision system N. Hutley et al. 10.5194/hess-27-2051-2023
- 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
- River Surface Velocity Measurement for Rapid Levee Breach Emergency Response Based on DFP-P-LK Algorithm Z. Xu et al. 10.3390/s24165249
- The Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) C. Legleiter & P. Kinzel 10.1002/rra.4147
- Hydro‐morphological mapping of river reaches using videos captured with UAS A. Eltner et al. 10.1002/esp.5205
- Recent Advancements and Perspectives in UAS-Based Image Velocimetry S. Dal Sasso et al. 10.3390/drones5030081
- Synthetic River Flow Videos for Evaluating Image‐Based Velocimetry Methods G. Bodart et al. 10.1029/2022WR032251
- SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation R. Ljubičić et al. 10.1016/j.envsoft.2023.105938
- Comparative Assessment of Different Image Velocimetry Techniques for Measuring River Velocities Using Unmanned Aerial Vehicle Imagery F. Wijaya et al. 10.3390/w15223941
- A framework to facilitate development and testing of image‐based river velocimetry algorithms C. Legleiter & P. Kinzel 10.1002/esp.5772
- Image-based river discharge estimation by merging heterogeneous data with information entropy theory N. Chahrour et al. 10.1016/j.flowmeasinst.2021.102039
- 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
- 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
- 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
- River Surface Velocity Estimation Using Optical Flow Velocimetry Improved With Attention Mechanism and Position Encoding Y. Cao et al. 10.1109/JSEN.2022.3186972
- 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
- River velocity measurements using optical flow algorithm and unoccupied aerial vehicles: A case study J. Jyoti et al. 10.1016/j.flowmeasinst.2023.102341
- Towards harmonisation of image velocimetry techniques for river surface velocity observations M. Perks et al. 10.5194/essd-12-1545-2020
- Open-channel flow rate measurement estimation using videos R. Ljubičić & D. Ivetić 10.5937/GK23055045L
- Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity M. Jolley et al. 10.3389/frwa.2021.709269
- Refining image‐velocimetry performances for streamflow monitoring: Seeding metrics to errors minimization A. Pizarro et al. 10.1002/hyp.13919
- Moving Aircraft River Velocimetry (MARV): Framework and Proof‐of‐Concept on the Tanana River C. Legleiter et al. 10.1029/2022WR033822
31 citations as recorded by crossref.
- An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) C. Legleiter & P. Kinzel 10.1002/rra.4333
- On the Accuracy of Particle Image Velocimetry with Citizen Videos—Five Typical Case Studies E. Rozos et al. 10.3390/hydrology9050072
- Surface Velocity to Depth-Averaged Velocity—A Review of Methods to Estimate Alpha and Remaining Challenges H. Biggs et al. 10.3390/w15213711
- 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
- Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. 10.1029/2021WR029925
- Increasing LSPIV performances by exploiting the seeding distribution index at different spatial scales S. Dal Sasso et al. 10.1016/j.jhydrol.2021.126438
- Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements G. Bodart et al. 10.1029/2023WR034740
- 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
- Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera R. Tsubaki & R. Zhu 10.3389/frwa.2021.700946
- 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
- Advancing river monitoring using image-based techniques: challenges and opportunities S. Manfreda et al. 10.1080/02626667.2024.2333846
- 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
- VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers A. Pizarro et al. 10.1016/j.softx.2022.101173
- 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
- Adaptively monitoring streamflow using a stereo computer vision system N. Hutley et al. 10.5194/hess-27-2051-2023
- 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
- River Surface Velocity Measurement for Rapid Levee Breach Emergency Response Based on DFP-P-LK Algorithm Z. Xu et al. 10.3390/s24165249
- The Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) C. Legleiter & P. Kinzel 10.1002/rra.4147
- Hydro‐morphological mapping of river reaches using videos captured with UAS A. Eltner et al. 10.1002/esp.5205
- Recent Advancements and Perspectives in UAS-Based Image Velocimetry S. Dal Sasso et al. 10.3390/drones5030081
- Synthetic River Flow Videos for Evaluating Image‐Based Velocimetry Methods G. Bodart et al. 10.1029/2022WR032251
- SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation R. Ljubičić et al. 10.1016/j.envsoft.2023.105938
- Comparative Assessment of Different Image Velocimetry Techniques for Measuring River Velocities Using Unmanned Aerial Vehicle Imagery F. Wijaya et al. 10.3390/w15223941
- A framework to facilitate development and testing of image‐based river velocimetry algorithms C. Legleiter & P. Kinzel 10.1002/esp.5772
- Image-based river discharge estimation by merging heterogeneous data with information entropy theory N. Chahrour et al. 10.1016/j.flowmeasinst.2021.102039
- 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
- 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
- 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
- River Surface Velocity Estimation Using Optical Flow Velocimetry Improved With Attention Mechanism and Position Encoding Y. Cao et al. 10.1109/JSEN.2022.3186972
- 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
- River velocity measurements using optical flow algorithm and unoccupied aerial vehicles: A case study J. Jyoti et al. 10.1016/j.flowmeasinst.2023.102341
5 citations as recorded by crossref.
- Towards harmonisation of image velocimetry techniques for river surface velocity observations M. Perks et al. 10.5194/essd-12-1545-2020
- Open-channel flow rate measurement estimation using videos R. Ljubičić & D. Ivetić 10.5937/GK23055045L
- Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity M. Jolley et al. 10.3389/frwa.2021.709269
- Refining image‐velocimetry performances for streamflow monitoring: Seeding metrics to errors minimization A. Pizarro et al. 10.1002/hyp.13919
- Moving Aircraft River Velocimetry (MARV): Framework and Proof‐of‐Concept on the Tanana River C. Legleiter et al. 10.1029/2022WR033822
Latest update: 23 Nov 2024
Short summary
KLT-IV v1.0 offers a user-friendly graphical interface for the determination of river flow velocity and river discharge using videos acquired from both fixed and mobile remote sensing platforms. Platform motion can be accounted for using ground control points and/or stable features or a GPS device and inertial measurement unit sensor. Examples of the KLT-IV workflow are provided for two case studies where footage is acquired using unmanned aerial systems and fixed cameras.
KLT-IV v1.0 offers a user-friendly graphical interface for the determination of river flow...