55 citations as recorded by crossref.

1. Use of thermal signal for the investigation of near-surface turbulence M. Zeeman 10.5194/amt-14-7475-2021
2. Laser photo-acoustic methane sensor (7.7 µm) for use at unmanned aerial vehicles I. Sherstov et al. 10.1016/j.infrared.2023.104865
3. UAV Atmosphere Sounding for Rocket Launch Support K. Bęben et al. 10.3390/s23249639
4. Studying boundary layer methane isotopy and vertical mixing processes at a rewetted peatland site using an unmanned aircraft system A. Lampert et al. 10.5194/amt-13-1937-2020
5. Assessing iMET-XQ Performance and Optimal Placement on a Small Off-the-Shelf, Rotary-Wing UAV, as a Function of Atmospheric Conditions S. Kimball et al. 10.3390/atmos11060660
6. Two new multirotor uncrewed aerial vehicles (UAVs) for glaciogenic cloud seeding and aerosol measurements within the CLOUDLAB project A. Miller et al. 10.5194/amt-17-601-2024
7. A Near-Field Gaussian Plume Inversion Flux Quantification Method, Applied to Unmanned Aerial Vehicle Sampling A. Shah et al. 10.3390/atmos10070396
8. Considerations for temperature sensor placement on rotary-wing unmanned aircraft systems B. Greene et al. 10.5194/amt-11-5519-2018
9. Moving towards a Network of Autonomous UAS Atmospheric Profiling Stations for Observations in the Earth’s Lower Atmosphere: The 3D Mesonet Concept P. Chilson et al. 10.3390/s19122720
10. On the Use of Unmanned Aircraft for Sampling Mesoscale Phenomena in the Preconvective Boundary Layer S. Koch et al. 10.1175/JTECH-D-18-0101.1
11. Sensing atmospheric flows in aquatic environments using a multirotor small uncrewed aircraft system (sUAS) J. González-Rocha et al. 10.1039/D2EA00042C
12. High-Resolution Observations of Transport and Exchange Processes in Mountainous Terrain S. Emeis et al. 10.3390/atmos9120457
13. Distributed wind measurements with multiple quadrotor unmanned aerial vehicles in the atmospheric boundary layer T. Wetz et al. 10.5194/amt-14-3795-2021
14. Sensing Wind from Quadrotor Motion J. González-Rocha et al. 10.2514/1.G003542
15. Estimation of Wind Vector Profile Using a Hexarotor Unmanned Aerial Vehicle and Its Application to Meteorological Observation up to 1000 m above Surface T. Shimura et al. 10.1175/JTECH-D-17-0186.1
16. Concept and Feasibility Evaluation of Distributed Sensor-Based Measurement Systems Using Formation Flying Multicopters J. Yang et al. 10.3390/atmos12070874
17. Incorporating thrust models for quadcopter wind estimation H. Chen & H. Bai 10.1016/j.ifacol.2022.11.155
18. In Situ, Rotor-Based Drone Measurement of Wind Vector and Aerosol Concentration in Volcanic Areas K. Sasaki et al. 10.3390/atmos12030376
19. Environmental and Sensor Integration Influences on Temperature Measurements by Rotary-Wing Unmanned Aircraft Systems B. Greene et al. 10.3390/s19061470
20. Meteorological multi-rotor unmanned aerial complex and its application for monitoring of the atmosphere Y. Popov et al. 10.1088/1755-1315/1040/1/012006
21. Wind sensing with drone-mounted wind lidars: proof of concept N. Vasiljević et al. 10.5194/amt-13-521-2020
22. Estimation of evapotranspiration of temperate grassland based on high-resolution thermal and visible range imagery from unmanned aerial systems C. Brenner et al. 10.1080/01431161.2018.1471550
23. Evaluation of the pattern of spray released from a moving multicopter I. Chyrva et al. 10.1002/ps.7320
24. Wind Measurement and Simulation Techniques in Multi-Rotor Small Unmanned Aerial Vehicles P. Abichandani et al. 10.1109/ACCESS.2020.2977693
25. Methods for quantifying methane emissions using unmanned aerial vehicles: a review J. Shaw et al. 10.1098/rsta.2020.0450
26. MesSBAR—Multicopter and Instrumentation for Air Quality Research L. Bretschneider et al. 10.3390/atmos13040629
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. Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR B. Putzenlechner et al. 10.1016/j.jag.2020.102061
29. Toward UAV-based methane emission mapping of Arctic terrestrial ecosystems J. Scheller et al. 10.1016/j.scitotenv.2022.153161
30. Estimation of Sensible Heat Flux and Atmospheric Boundary Layer Height Using an Unmanned Aerial Vehicle M. Kim & B. Kwon 10.3390/atmos10070363
31. Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling A. Shah et al. 10.5194/amt-13-1467-2020
32. Self-Calibrated Multiharmonic CO2 Sensor Using VCSEL for Urban In Situ Measurement L. Lan et al. 10.1109/TIM.2018.2863445
33. An optimized multicopter UAV sounding technique (MUST) for probing comprehensive atmospheric variables C. Chang et al. 10.1016/j.chemosphere.2020.126867
34. Flight Experiments and Numerical Simulations for Investigating Multicopter Flow Field and Structure Deformation F. Pätzold et al. 10.3390/atmos14091336
35. Suitability of a Non-Dispersive Infrared Methane Sensor Package for Flux Quantification Using an Unmanned Aerial Vehicle A. Shah et al. 10.3390/s19214705
36. Microplastics and nanoplastics in the marine-atmosphere environment D. Allen et al. 10.1038/s43017-022-00292-x
37. UAV-based sampling systems to analyse greenhouse gases and volatile organic compounds encompassing compound-specific stable isotope analysis S. Leitner et al. 10.5194/amt-16-513-2023
38. Controlled-release experiment to investigate uncertainties in UAV-based emission quantification for methane point sources R. Morales et al. 10.5194/amt-15-2177-2022
39. Eyes in the Sky: Drones Applications in the Built Environment under Climate Change Challenges N. Bayomi & J. Fernandez 10.3390/drones7100637
40. Electrochemical gas sensing module combined with Unmanned Aerial Vehicles for air quality monitoring P. Arroyo et al. 10.1016/j.snb.2022.131815
41. A new multicopter-based unmanned aerial system for pollen and spores collection in the atmospheric boundary layer C. Crazzolara et al. 10.5194/amt-12-1581-2019
42. Surface flux estimates derived from UAS-based mole fraction measurements by means of a nocturnal boundary layer budget approach M. Kunz et al. 10.5194/amt-13-1671-2020
43. High-Resolution Vertical Profile Measurements for Carbon Dioxide and Water Vapour Concentrations Within and Above Crop Canopies P. Ney & A. Graf 10.1007/s10546-017-0316-4
44. Autonomous Source Search for UAVs Using Gaussian Mixture Model-Based Infotaxis: Algorithm and Flight Experiments M. Park et al. 10.1109/TAES.2021.3098132
45. Wind Profiling in the Lower Atmosphere from Wind-Induced Perturbations to Multirotor UAS J. González-Rocha et al. 10.3390/s20051341
46. Observations of the thermodynamic and kinematic state of the atmospheric boundary layer over the San Luis Valley, CO, using the CopterSonde 2 remotely piloted aircraft system in support of the LAPSE-RATE field campaign E. Pillar-Little et al. 10.5194/essd-13-269-2021
47. Assessment of Urban CO2 Measurement and Source Attribution in Munich Based on TDLAS-WMS and Trajectory Analysis L. Lan et al. 10.3390/atmos11010058
48. Environmental chemical sensing using small drones: A review J. Burgués & S. Marco 10.1016/j.scitotenv.2020.141172
49. Quantifying methane emissions from coal mining ventilation shafts using an unmanned aerial vehicle (UAV)-based active AirCore system T. Andersen et al. 10.1016/j.aeaoa.2021.100135
50. Evaluating Temperature Measurements of the iMET-XQ, in the Field, under Varying Atmospheric Conditions S. Kimball et al. 10.3390/atmos11040335
51. Observational Practices for Urban Microclimates Using Meteorologically Instrumented Unmanned Aircraft Systems K. Adkins et al. 10.3390/atmos11091008
52. A study of the vertical homogeneity of trace gases in East Asian continental outflow C. Chang et al. 10.1016/j.chemosphere.2022.134165
53. Advanced Leak Detection and Quantification of Methane Emissions Using sUAS D. Hollenbeck et al. 10.3390/drones5040117
54. Local-to-regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV-based atmospheric measurements T. Andersen et al. 10.5194/acp-23-5191-2023
55. The vertical variability of black carbon observed in the atmospheric boundary layer during DACCIWA B. Altstädter et al. 10.5194/acp-20-7911-2020