Articles | Volume 26, issue 5
https://doi.org/10.5194/acp-26-3607-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-3607-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Mar 2026
Research article |
| 10 Mar 2026
| 10 Mar 2026
Wind estimation based on flight dynamics of unmanned aerial vehicle: influencing variables and its environmental application
Dukun Chen
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Weifeng Su
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
Shaojie Jiang
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210000, China
Honglong Yang
Shenzhen National Climate Observatory, Meteorological Bureau of Shenzhen Municipality, Shenzhen 518040, China
Chunsheng Zhang
Shenzhen National Climate Observatory, Meteorological Bureau of Shenzhen Municipality, Shenzhen 518040, China
Shutong Jiang
Soarability Pte. Ltd., Singapore 409051, Singapore
Dongyang Chang
Soarability Pte. Ltd., Singapore 409051, Singapore
Yuxin Liang
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
Hao Wang
Shenzhen Key Laboratory for Air Vehicle and Gust Simulation, School of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen 518055, China
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
Tzung-May Fu
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
Zhenzhong Zeng
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
Huizhong Shen
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
Chen Wang
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
State Key Laboratory of Soil Pollution Prevention and Remediation for Soil Security, Southern University of Science and Technology, Shenzhen 518055, China
Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area, Shenzhen, 518055, China
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Latest update: 01 Apr 2026
Short summary
This research presents a sensor-free method to transform UAVs (unmanned aerial vehicles) into precise wind measurement platforms by calibrating their flight dynamics against wind. The approach quantifies how wind tilts the aircraft, enabling accurate estimation of wind speed and direction without additional sensors. This provides a low-cost, high-resolution monitoring of complex wind patterns, with applications in pollution tracking, air quality modeling, and operational safety in the emerging low-altitude economy.
This research presents a sensor-free method to transform UAVs (unmanned aerial vehicles) into...
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