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12 April 2021 Detection, identification, and quantification of SF6 point-source emissions using Telops hyper-cam LW airborne platform
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Abstract
Detection, identification, and quantification of greenhouse gases is essential to ensure compliance with regulatory guidelines and mitigate damage associated with anthropogenic climate change. Passive infrared hyperspectral imaging technology is among the solutions that can detect, identify and quantify multiple greenhouse gases simultaneously. The Telops Hyper-Cam Airborne Platform is an established system for aerial thermal infrared hyperspectral measurements for gas survey applications. In support of the Hypercam, Telops is developing a suite of hyperspectral imaging data processing algorithms that allow for gas detection, identification, and quantification in real-time. In the Fall of 2020, the Hyper-Cam-LW Airborne platform was flown above a validated SF6 gas release system to collect hyperspectral data for gas quantification analysis. This measurement campaign was performed to document performance of the Hyper-Cam gas quantification capabilities against known quantities of released gas. This talk introduces the principles behind the gas detection, identification, and quantification algorithms and presents the motivations and results from the Fall 2020 measurement campaign.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Benjamin Saute, Jean-Philippe Gagnon, Marc Duval, Jacob Thibodeau, Mathieu Gagnon, and Martin Lariviere-Bastien "Detection, identification, and quantification of SF6 point-source emissions using Telops hyper-cam LW airborne platform", Proc. SPIE 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII, 1172717 (12 April 2021); https://doi.org/10.1117/12.2597559
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