High-Precision Methane Emission Quantification Using UAVs and Open-Path Technology

Quantifying methane (CH₄) emissions is essential for climate change mitigation, yet current estimation methods often suffer from substantial uncertainties, particularly at the site level. This study introduces a drone-based approach for measuring CH₄ emissions using an open-path Tunable Diode Laser Absorption Spectroscopy (TDLAS) sen-sor mounted parallel to the ground, rather than in the traditional nadir-pointing con-figuration. Controlled CH₄ release experiments were conducted to evaluate the method’s accuracy, employing a modified mass balance technique to estimate emission rates. Two wind data processing strategies were compared: a logarithmic wind profile (LW) and a constant scalar wind speed (SW). The LW approach yielded highly accurate results, with an average recovery rate of 98%, while the SW approach showed greater variability with increasing distance from the source, though remained reliable in close proximity. The method demonstrated the ability to quantify emissions as low as 0.08 g s⁻¹ with approximately 5% error, given sufficient sampling. These findings suggest that the proposed UAV-based system is a promising, cost-effective tool for ac-curate CH₄ emission quantification in sectors such as agriculture, energy, and waste management, where traditional monitoring techniques may be impractical or limited.