12 citations as recorded by crossref.

1. Aircraft Regional-Scale Flux Measurements over Complex Landscapes of Mangroves, Desert, and Marine Ecosystems of Magdalena Bay, Mexico R. Zulueta et al. https://doi.org/10.1175/JTECH-D-12-00022.1
2. Construction of a spatially gridded heat flux map based on airborne flux Measurements using remote sensing and machine learning methods Y. Sun et al. https://doi.org/10.1016/j.agrformet.2023.109424
3. Groundwater–CO2 emissions relationship in Dutch peatlands derived by machine learning using airborne and ground-based eddy covariance data L. van der Poel et al. https://doi.org/10.5194/bg-22-3867-2025
4. Calibration and Quality Assurance of Flux Observations from a Small Research Aircraft* O. Vellinga et al. https://doi.org/10.1175/JTECH-D-11-00138.1
5. Arctic regional methane fluxes by ecotope as derived using eddy covariance from a low-flying aircraft D. Sayres et al. https://doi.org/10.5194/acp-17-8619-2017
6. Observation of the winter regional evaporative fraction using a UAV-based eddy covariance system over wetland area Y. Sun et al. https://doi.org/10.1016/j.agrformet.2021.108619
7. Seasonal pattern of regional carbon balance in the central Rocky Mountains from surface and airborne measurements A. Desai et al. https://doi.org/10.1029/2011JG001655
8. Optimizing Window Length for Turbulent Heat Flux Calculations from Airborne Eddy Covariance Measurements under Near Neutral to Unstable Atmospheric Stability Conditions Y. Sun et al. https://doi.org/10.3390/rs10050670
9. Trade-Offs in Flux Disaggregation: A Large-Eddy Simulation Study M. Sühring et al. https://doi.org/10.1007/s10546-018-0387-x
10. Spatially explicit regionalization of airborne flux measurements using environmental response functions S. Metzger et al. https://doi.org/10.5194/bg-10-2193-2013
11. A UAV-Based Eddy Covariance System for Measurement of Mass and Energy Exchange of the Ecosystem: Preliminary Results Y. Sun et al. https://doi.org/10.3390/s21020403
12. Estimating Random Uncertainty in Airborne Flux Measurements over Alaskan Tundra: Update on the Flux Fragment Method R. Dobosy et al. https://doi.org/10.1175/JTECH-D-16-0187.1