Detection, identification, and quantification of exhaust gas emissions is critical to ensure compliance with regulatory guidelines and mitigate damage to the environment. Passive thermal infrared hyperspectral imaging is among the technical solutions that can remotely detect, identify, and quantify multiple gases simultaneously. Telops has recently developed a suite of gas quantification tools designed for use on the Hyper-Cam series of hyperspectral imaging systems. In order to demonstrate the feasibility of quantitative gas measurements in real-world environments, Telops participated in a maritime measurement campaign in 2021. The Telops Hyper-Cam-LW was used to quantitatively measure the SO2 emissions from the main exhaust of a cargo ship transiting the Saint Lawrence Seaway. This work will introduce the fundamental principles underlying gas quantitation using thermal infrared hyperspectral imaging as well as report quantitative gas imaging results generated from the 2021 measurement campaign.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Quantitative gas imaging of cargo ship emissions using thermal infrared hyperspectral imaging



    Conference:

    Infrared Technology and Applications XLVIII ; 2022 ; Orlando,Florida,United States


    Published in:

    Proc. SPIE ; 12107


    Publication date :

    2022-05-27





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Quantitative gas imaging of cargo ship emissions using thermal infrared hyperspectral imaging

    Saute, Benjamin / Gagnon, Jean-Philippe / Larivière-Bastien, Martin et al. | British Library Conference Proceedings | 2022


    Hyperspectral imaging in the infrared using LIFTIRS

    Bennett, Charles L. / Carter, Michael R. / Fields, David J. | SPIE | 1995



    The PNNL Quantitative IR Database for Infrared Remote Sensing and Hyperspectral Imaging

    Sharpe, S. / Sams, R. / Johnson, T. | British Library Conference Proceedings | 2002


    Hyperspectral Imaging

    Krause, J. / Schulte, Henning | Fraunhofer Publica | 2018

    Free access