38 citations as recorded by crossref.

1. An airborne measurement system to detect, locate, and quantify methane emissions with attitude-based wind speed estimation L. Kistner et al. 10.5194/jsss-13-211-2024
2. 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
3. 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
4. Current-Modulated Cavity Ring-Down Spectroscopy for Mobile Monitoring of Natural Gas Leaks Z. Mo et al. 10.1109/JLT.2020.3003006
5. Evaluation of two common source estimation measurement strategies using large-eddy simulation of plume dispersion under neutral atmospheric conditions A. Ražnjević et al. 10.5194/amt-15-3611-2022
6. Vehicle-Deployed Off-Axis Integrated Cavity Output Spectroscopic CH4/C2H6 Sensor System for Mobile Inspection of Natural Gas Leakage K. Zheng et al. 10.1021/acssensors.2c00373
7. Improvements of a low-cost CO2 commercial nondispersive near-infrared (NDIR) sensor for unmanned aerial vehicle (UAV) atmospheric mapping applications Y. Liu et al. 10.5194/amt-15-4431-2022
8. Landfill Emissions of Methane Inferred from Unmanned Aerial Vehicle and Mobile Ground Measurements E. Olaguer et al. 10.3390/atmos13060983
9. Evaluating the use of an Unmanned Aerial Vehicle (UAV)-based active AirCore system to quantify methane emissions from dairy cows K. Vinković et al. 10.1016/j.scitotenv.2022.154898
10. Technical note: Interpretation of field observations of point-source methane plume using observation-driven large-eddy simulations A. Ražnjević et al. 10.5194/acp-22-6489-2022
11. Equipping for risk: Lessons learnt from the UK shale-gas experience on assessing environmental risks for the future geoenergy use of the deep subsurface P. Smedley et al. 10.1016/j.scitotenv.2024.171036
12. Evaluation of error inducing factors in unmanned aerial vehicle mounted detector to measure fugitive methane from solid waste landfill Y. Kim et al. 10.1016/j.wasman.2021.02.023
13. Recent Developments in Sensor Technologies for Enabling the Hydrogen Economy K. Ramaiyan et al. 10.1149/2754-2726/ad0736
14. 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
15. A Pilot Demonstration of Flaring Gas Recovery during Shale Gas Well Completion in Sichuan, China M. Xue et al. 10.2118/214665-PA
16. Methane flux from flowback operations at a shale gas site J. Shaw et al. 10.1080/10962247.2020.1811800
17. A measurement system for CO2 and CH4 emissions quantification of industrial sites using a new in situ concentration sensor operated on board uncrewed aircraft vehicles J. Bonne et al. 10.5194/amt-17-4471-2024
18. Methods for quantifying methane emissions using unmanned aerial vehicles: a review J. Shaw et al. 10.1098/rsta.2020.0450
19. Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
20. Assessing the representativity of NH<sub>3</sub> measurements influenced by boundary-layer dynamics and the turbulent dispersion of a nearby emission source R. Schulte et al. 10.5194/acp-22-8241-2022
21. On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis A. Montazeri et al. 10.3390/s21175683
22. Sensitive Drone Mapping of Methane Emissions without the Need for Supplementary Ground-Based Measurements M. Gålfalk et al. 10.1021/acsearthspacechem.1c00106
23. Laser photo-acoustic methane sensor (7.7 µm) for use at unmanned aerial vehicles I. Sherstov et al. 10.1016/j.infrared.2023.104865
24. 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
25. On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis A. Montazeri et al. 10.3390/s21175683
26. Uncertainty in the Mobile Observation of Wind E. Leibensperger et al. 10.3390/atmos14050765
27. Balloons and Quadcopters: Intercomparison of Two Low-Cost Wind Profiling Methods M. Varentsov et al. 10.3390/atmos12030380
28. Mobile Measurements of Atmospheric Methane at Eight Large Landfills: An Assessment of Temporal and Spatial Variability T. Xia et al. 10.3390/atmos14060906
29. Flight Experiments and Numerical Simulations for Investigating Multicopter Flow Field and Structure Deformation F. Pätzold et al. 10.3390/atmos14091336
30. Advanced Leak Detection and Quantification of Methane Emissions Using sUAS D. Hollenbeck et al. 10.3390/drones5040117
31. Diurnal and Seasonal Variation of Area-Fugitive Methane Advective Flux from an Open-Pit Mining Facility in Northern Canada Using WRF M. Nambiar et al. 10.3390/atmos11111227
32. Cavity Ring-Down Methane Sensor for Small Unmanned Aerial Systems B. Martinez et al. 10.3390/s20020454
33. Suitability of a Non-Dispersive Infrared Methane Sensor Package for Flux Quantification Using an Unmanned Aerial Vehicle A. Shah et al. 10.3390/s19214705
34. Monitoring and Cordoning Wildfires with an Autonomous Swarm of Unmanned Aerial Vehicles F. Saffre et al. 10.3390/drones6100301
35. Monitoring CH4 Fluxes in Sewage Sludge Treatment Centres: Challenging Emission Underreporting H. Abeywickrama et al. 10.3390/rs16132280
36. Unmanned aerial vehicle observations of cold venting from exploratory hydraulic fracturing in the United Kingdom A. Shah et al. 10.1088/2515-7620/ab716d
37. Using Ground- and Drone-Based Surface Emission Monitoring (SEM) Data to Locate and Infer Landfill Methane Emissions T. Abichou et al. 10.3390/methane2040030
38. Landfill Emissions of Methane Inferred from Unmanned Aerial Vehicle and Mobile Ground Measurements E. Olaguer et al. 10.3390/atmos13060983