Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-521-2020
© 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/amt-13-521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2020
Research article |
| 07 Feb 2020
| 07 Feb 2020
Wind sensing with drone-mounted wind lidars: proof of concept
Technical University of Denmark – DTU Wind Energy, Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
Michael Harris
ZX Lidars, The Old Barns, Fairoaks Farm, Hollybush, Ledbury HR8 1EU, UK
Anders Tegtmeier Pedersen
Technical University of Denmark – DTU Wind Energy, Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
Gunhild Rolighed Thorsen
Technical University of Denmark – DTU Wind Energy, Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
Mark Pitter
ZX Lidars, The Old Barns, Fairoaks Farm, Hollybush, Ledbury HR8 1EU, UK
Jane Harris
Department of Physics, University of Exeter, Exeter
EX4 4QL, UK
Kieran Bajpai
Department of Physics, University of Exeter, Exeter
EX4 4QL, UK
Michael Courtney
Technical University of Denmark – DTU Wind Energy, Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
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Cited
13 citations as recorded by crossref.
- A Review on Applications of Drones in Geotechnical Engineering M. Vishweshwaran & E. Sujatha 10.1007/s40098-024-01071-9
- Flow Structure around a Multicopter Drone: A Computational Fluid Dynamics Analysis for Sensor Placement Considerations M. Ghirardelli et al. 10.3390/drones7070467
- A review of airborne Doppler lidar for wind-sensing R. Yew et al. 10.1016/j.paerosci.2025.101127
- Research challenges and needs for the deployment of wind energy in hilly and mountainous regions A. Clifton et al. 10.5194/wes-7-2231-2022
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. 10.5194/amt-17-2721-2024
- Sensing atmospheric flows in aquatic environments using a multirotor small uncrewed aircraft system (sUAS) J. González-Rocha et al. 10.1039/D2EA00042C
- Wind Preview-Based Model Predictive Control of Multi-Rotor UAVs Using LiDAR A. Mendez et al. 10.3390/s23073711
- Towards accurate and practical drone-based wind measurements with an ultrasonic anemometer W. Thielicke et al. 10.5194/amt-14-1303-2021
- A Review of Methods and Challenges for Wind Measurement by Small Unmanned Aerial Vehicles M. Soltaninezhad et al. 10.1002/met.70065
- Method for airborne measurement of the spatial wind speed distribution above complex terrain C. Ingenhorst et al. 10.5194/wes-6-427-2021
- Análisis comparativo de tecnologías sustitutivas para la medición del potencial eólico en las instalaciones del Instituto Tecnológico Universitario Guatemala Sur S. López Rodríguez 10.36829/63CTS.v11i1.1560
- Wind Speed Statistics from a Small UAS and Its Sensitivity to Sensor Location T. Wilson et al. 10.3390/atmos13030443
- Enhancing wildfire propagation model predictions using aerial swarm-based real-time wind measurements: A conceptual framework M. Tavakol Sadrabadi & M. Innocente 10.1016/j.apm.2024.03.012
13 citations as recorded by crossref.
- A Review on Applications of Drones in Geotechnical Engineering M. Vishweshwaran & E. Sujatha 10.1007/s40098-024-01071-9
- Flow Structure around a Multicopter Drone: A Computational Fluid Dynamics Analysis for Sensor Placement Considerations M. Ghirardelli et al. 10.3390/drones7070467
- A review of airborne Doppler lidar for wind-sensing R. Yew et al. 10.1016/j.paerosci.2025.101127
- Research challenges and needs for the deployment of wind energy in hilly and mountainous regions A. Clifton et al. 10.5194/wes-7-2231-2022
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. 10.5194/amt-17-2721-2024
- Sensing atmospheric flows in aquatic environments using a multirotor small uncrewed aircraft system (sUAS) J. González-Rocha et al. 10.1039/D2EA00042C
- Wind Preview-Based Model Predictive Control of Multi-Rotor UAVs Using LiDAR A. Mendez et al. 10.3390/s23073711
- Towards accurate and practical drone-based wind measurements with an ultrasonic anemometer W. Thielicke et al. 10.5194/amt-14-1303-2021
- A Review of Methods and Challenges for Wind Measurement by Small Unmanned Aerial Vehicles M. Soltaninezhad et al. 10.1002/met.70065
- Method for airborne measurement of the spatial wind speed distribution above complex terrain C. Ingenhorst et al. 10.5194/wes-6-427-2021
- Análisis comparativo de tecnologías sustitutivas para la medición del potencial eólico en las instalaciones del Instituto Tecnológico Universitario Guatemala Sur S. López Rodríguez 10.36829/63CTS.v11i1.1560
- Wind Speed Statistics from a Small UAS and Its Sensitivity to Sensor Location T. Wilson et al. 10.3390/atmos13030443
- Enhancing wildfire propagation model predictions using aerial swarm-based real-time wind measurements: A conceptual framework M. Tavakol Sadrabadi & M. Innocente 10.1016/j.apm.2024.03.012
Latest update: 09 Jul 2025
Short summary
In this paper we present the preliminary results of the proof-of-concept (POC) stage of a drone-based wind lidar system development process. To test the POC drone–lidar system we hovered the drone next to mast-mounted sonic anemometers at the Risø test center. The preliminary results of the intercomparison between the measurements derived from the POC system and those of the sonic anemometers show good agreement.
In this paper we present the preliminary results of the proof-of-concept (POC) stage of a...
