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

A Angus G. MacGruer S Steven D. Johnson (Centre for Functional Biodiversity, School of Life Sciences, University of KwaZulu‐Natal Pietermaritzburg) S Simon P. Mekhail K Kyle J. Nutt M Miles J. Padgett G Graham M. Gibson

Abstract

Abstract 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.

Article Details

Volume / Issue Vol. 15, Issue 1
Published March 13, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (6)

A

Angus G. MacGruer

S

Steven D. Johnson

Centre for Functional Biodiversity, School of Life Sciences, University of KwaZulu‐Natal Pietermaritzburg

S

Simon P. Mekhail

K

Kyle J. Nutt

M

Miles J. Padgett

G

Graham M. Gibson