Evaluating the performance of a cost effective in situ methane sensor for UAS-based systems and its ability to quantify facility-scale emissions

van Ettinger, Noni; van Heuven, Steven M. A. C.; Chen, Huilin

doi:10.5194/amt-19-3333-2026

Articles | Volume 19, issue 10

https://doi.org/10.5194/amt-19-3333-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-19-3333-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 10

Research article

|

22 May 2026

Research article |

| 22 May 2026

Evaluating the performance of a cost effective in situ methane sensor for UAS-based systems and its ability to quantify facility-scale emissions

Noni van Ettinger, Steven M. A. C. van Heuven, and Huilin Chen

Data sets

In-field observations, laboratory experiments, statistical analysis and processing code - Evaluating the performance of a cost effective in situ methane sensor for UAS-based systems and its ability to quantify facility-scale emissions N. van Ettinger et al. https://doi.org/10.5281/zenodo.19882114

Short summary

This research evaluates the potential of a cost-effective methane sensor for quantifying anthropogenic emissions. With active temperature control, the sensor performs comparably to the high-precision Active AirCore in estimating dairy-farm mass emissions, achieving results within 10% uncertainty. The uncertainty is mainly driven by wind and background variability, rather than by sensor precision. The results show that cost-effective sensors can improve monitoring networks.