56 citations as recorded by crossref.

1. Advanced Leak Detection and Quantification of Methane Emissions Using sUAS D. Hollenbeck et al. 10.3390/drones5040117
2. Framework for UAV-based river flow velocity determination employing optical recognition A. Kriščiūnas et al. 10.1016/j.jag.2024.104154
3. Wind Estimation by Multirotor Drone State Using Machine Learning with Data Rotation and Reduction S. Zimmerman et al. 10.2139/ssrn.4089510
4. UAV-based in situ measurements of CO2 and CH4 fluxes over complex natural ecosystems A. Bolek et al. 10.5194/amt-17-5619-2024
5. Development Trends of Air Flow Velocity Measurement Methods and Devices in Renewable Energy P. Ligęza et al. 10.3390/en18020412
6. Drone anemometry of atmospheric winds—A review M. Ilyas et al. 10.1063/5.0259355
7. A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes M. Amiri et al. 10.1016/j.rser.2024.114279
8. Towards sensible heat flux measurements with fast-response fine-wire platinum resistance thermometers on small multicopter uncrewed aerial systems N. Wildmann & L. Györy 10.5194/amt-18-5527-2025
9. Development and flight-test verification of two-dimensional rotational low-airspeed sensor for small helicopters D. Fujiwara & T. Tonoike 10.1186/s40648-024-00274-2
10. Multi-point in situ measurements of turbulent flow in a wind turbine wake and inflow with a fleet of uncrewed aerial systems T. Wetz & N. Wildmann 10.5194/wes-8-515-2023
11. Customized Hexacopter Drone Design and Reliability Assessment for Coastal Monitoring R. Srinivasan et al. 10.21272/jes.2025.12(2).e1
12. Wind estimation by multirotor drone state using machine learning with data rotation and reduction S. Zimmerman et al. 10.1016/j.measurement.2022.111491
13. Flow Structure around a Multicopter Drone: A Computational Fluid Dynamics Analysis for Sensor Placement Considerations M. Ghirardelli et al. 10.3390/drones7070467
14. Towards Mobile Wind Measurements Using Joust Configured Ultrasonic Anemometer for Applications in Gas Flux Quantification D. Hollenbeck et al. 10.3390/drones9020094
15. Experience of Studying the Turbulent Structure of the Atmospheric Boundary Layer Using an Unmanned Aerial Vehicle D. Chechin et al. 10.1134/S0001433821050042
16. Maritime Emission Monitoring: Development and Testing of a UAV-Based Real-Time Wind Sensing Mission Planner Module T. Karachalios et al. 10.3390/s24030950
17. Design and Optimization of Resonant Cavity Piezoelectric Cantilever Sensor for Wind Velocity and Direction Measurement J. Hu et al. 10.1109/TIM.2022.3178490
18. A Review of Methods and Challenges for Wind Measurement by Small Unmanned Aerial Vehicles M. Soltaninezhad et al. 10.1002/met.70065
19. Challenges and potential solutions for the global optimization of "Offshore Wind Energy — Multi-Marine Resources" integration system in the Beibu Gulf of Guangxi T. Fan et al. 10.59717/j.xinn-energy.2024.100073
20. Uncertainty in the Mobile Observation of Wind E. Leibensperger et al. 10.3390/atmos14050765
21. Lessons learned from a UAV survey and methane emissions calculation at a UK landfill H. Yong et al. 10.1016/j.wasman.2024.03.025
22. SAMURAI-S: Sonic Anemometer on a MUlti-Rotor drone for Atmospheric turbulence Investigation in a Sling load configuration M. Ghirardelli et al. 10.5194/amt-18-2103-2025
23. An evaluation of different measurement strategies to measure wind turbine near wake flow with small multicopter UAS N. Wildmann & J. Kistner 10.1088/1742-6596/2767/4/042004
24. High-resolution wind speed measurements with quadcopter uncrewed aerial systems: calibration and verification in a wind tunnel with an active grid J. Kistner et al. 10.5194/amt-17-4941-2024
25. A quality control method based on physical constraints and data-driven collaborative artificial intelligence for wind observations along high-speed railway lines X. Xiong et al. 10.5194/amt-18-737-2025
26. Comparative modelling of drone interventions with traditional logistics modes for expedited and equitable deliveries A. Oakey et al. 10.1038/s44333-025-00050-8
27. Spatially distributed and simultaneous wind measurements with a fleet of small quadrotor UAS T. Wetz & N. Wildmann 10.1088/1742-6596/2265/2/022086
28. A correction algorithm for rotor-induced airflow and flight attitude changes during three-dimensional wind speed measurements made from a rotary unoccupied aerial vehicle Y. Yang et al. 10.5194/amt-18-3035-2025
29. Robotics Meets Fluid Dynamics: A Characterization of the Induced Airflow Below a Quadrotor as a Turbulent Jet L. Bauersfeld et al. 10.1109/LRA.2024.3518835
30. Distributed wind measurements with multiple quadrotor unmanned aerial vehicles in the atmospheric boundary layer T. Wetz et al. 10.5194/amt-14-3795-2021
31. Airspeed estimation for UAVs using only propeller feedback E. Ntouros et al. 10.1016/j.ast.2025.110999
32. Validation of wind measurements from a multirotor RPAS-mounted ultrasonic wind sensor using a ground-based LiDAR system L. Scicluna et al. 10.1139/dsa-2022-0034
33. A New Methodology for High Spatiotemporal Resolution Measurements of Air Volatile Organic Compounds: From Sampling to Data Deconvolution Y. Yang et al. 10.1021/acs.est.4c05669
34. An assembled hot wire anemometer design X. Yao et al. 10.21595/jme.2023.23637
35. Triboelectric Sensor with a Hierarchical Structure for Omnidirectional Adaptive Wind Speed and Wind Direction Sensing for Unmanned Aerial Vehicles Z. Wang et al. 10.1021/acsami.5c01043
36. A review of airborne Doppler lidar for wind-sensing R. Yew et al. 10.1016/j.paerosci.2025.101127
37. Validation of urban airflow measurements through a combined field test and wind tunnel study S. McTavish et al. 10.1016/j.jweia.2025.106155
38. Development of UAV-based system for simultaneous wind and particle measurements in the atmospheric boundary layer X. Zhang et al. 10.1007/s00348-025-04064-3
39. Experimental Characterization of Propeller-Induced Flow (PIF) below a Multi-Rotor UAV A. Flem et al. 10.3390/atmos15030242
40. Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. 10.5194/amt-17-2721-2024
41. The Flying Laboratory FLab: development and application of a UAS to measure aerosol particles and trace gases in the lower troposphere L. Moormann et al. 10.5194/amt-18-1441-2025
42. Unmanned Aerial Vehicle Communications for Civil Applications: A Review M. Ghamari et al. 10.1109/ACCESS.2022.3208571
43. Evaluation of an Automatic Meteorological Drone Based on a 6-Month Measurement Campaign M. Hervo et al. 10.3390/atmos14091382
44. Towards vertical wind and turbulent flux estimation with multicopter uncrewed aircraft systems N. Wildmann & T. Wetz 10.5194/amt-15-5465-2022
45. Progress in monitoring methane emissions from landfills using drones: an overview of the last ten years D. Fosco et al. 10.1016/j.scitotenv.2024.173981
46. 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
47. Flight Experiments and Numerical Simulations for Investigating Multicopter Flow Field and Structure Deformation F. Pätzold et al. 10.3390/atmos14091336
48. Investigating the emissions effect of integrating drones into mixed-mode logistics – A case study of a healthcare setting M. Grote et al. 10.1080/15568318.2025.2564851
49. A Feedforward Quadrotor Disturbance Rejection Method for Visually Identified Gust Sources Based on Transfer Reinforcement Learning F. Song et al. 10.1109/TAES.2023.3275937
50. Wind Source Localization System Based on a Palm-Sized Quadcopter K. Yokota et al. 10.3390/app14156425
51. Development of a battery free, solar powered, and energy aware fixed wing unmanned aerial vehicle J. Liller et al. 10.1038/s41598-025-90729-2
52. Measurements and modelling of the three-dimensional near-field dispersion of particulate matter emitted from passenger ships in a port environment M. Haugen et al. 10.1016/j.atmosenv.2022.119384
53. Seed Dispersal Models for Natural Regeneration: A Review and Prospects M. Kim et al. 10.3390/f13050659
54. Tachometric Cup Anemometer with Wind Direction Indicator and Fibre-Optic Signal Transmission P. Ligęza et al. 10.3390/s25113281
55. Towards accurate and practical drone-based wind measurements with an ultrasonic anemometer W. Thielicke et al. 10.5194/amt-14-1303-2021
56. How accurate are ultrasonic anemometers, calibrated in a laminar wind tunnel, under turbulent conditions? G. Glabeke et al. 10.1088/1742-6596/2767/4/042023