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<p>We demonstrate a methane gas imaging system mounted to an unmanned aerial vehicle (UAV) that is shown to perform real-time detection at distances up to 10m whist airborne. Laser diodes that switch between on- and off- resonance with a <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_93186_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="46" /> </InlineMediaObject> <EquationSource Format="TEX">\({1.6}{{\upmu \hbox {m}}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mrow> <mn>1.6</mn> </mrow> <mrow> <mi mathvariant="normal">μ</mi> <mtext>m</mtext> </mrow> </mrow> </math></EquationSource> </InlineEquation> methane absorption line are used to flood-illuminate a scene. The scene is imaged with an infrared InGaAs camera and the differential of the on-resonance and off-resonance back-scatter images are used to reveal the gas distribution. The performance of the system was characterised against a range of back-scatter surfaces, showing promising applicability to realistic gas sensing environments. We demonstrate that the system is capable of detecting a gas concentration of 5000 ppm.metre up to a range of 13.6m.</p>

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Characterising the performance of a drone-mounted real-time methane imaging system

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月13日

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  • Angus G. MacGruer,
  • Steven D. Johnson,
  • Simon P. Mekhail,
  • Kyle J. Nutt,
  • Miles J. Padgett,
  • Graham M. Gibson

摘要

We demonstrate a methane gas imaging system mounted to an unmanned aerial vehicle (UAV) that is shown to perform real-time detection at distances up to 10m whist airborne. Laser diodes that switch between on- and off- resonance with a \({1.6}{{\upmu \hbox {m}}}\) 1.6 μ m methane absorption line are used to flood-illuminate a scene. The scene is imaged with an infrared InGaAs camera and the differential of the on-resonance and off-resonance back-scatter images are used to reveal the gas distribution. The performance of the system was characterised against a range of back-scatter surfaces, showing promising applicability to realistic gas sensing environments. We demonstrate that the system is capable of detecting a gas concentration of 5000 ppm.metre up to a range of 13.6m.