Greifswald 2024 – scientific programme

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UP: Fachverband Umweltphysik

UP 7: Posters

UP 7.7: Poster

Wednesday, February 28, 2024, 16:30–18:30, ELP 6: Foyer

Ground-based Hyperspectral Imaging of Greenhouse Gases Using a Physics Inversion Algorithm — •Helge Haveresch, Marvin Knapp, Benedikt Löw, Leon Scheidweiler, Felix Külheim, Ralph Kleinschek, and André Butz — Institute of Environmental Physics, Heidelberg University, Im Neuenheimer Feld 229, 69120 Heidelberg

Emissions of carbon dioxide (CO₂) and methane (CH₄) drive anthropogenic climate change significantly. Monitoring point sources of greenhouse gas emissions is crucial for validating mitigation strategies. We present the results of imaging CH₄ emission plumes from a coal mine in Silesia using a NEO HySpex SWIR-384 hyperspectral camera in a ground-based geometry. The camera is positioned at a distance of kilometres from the source, capturing images in the shortwave infrared (1-2.5 µm) approximately every minute. Methods like the matched filter technique only work well for CO₂ and CH₄ analysis given homogeneous backgrounds. However, based on statistical analysis, this method fails in heterogeneous scenes, as seen at passively degassing volcanoes like Mount Etna, where aerosols accompany gases. To overcome this, we developed a physics-based inversion routine based on the single scattering solution of atmospheric radiative transfer, which retrieves aerosol parameters and measures CO₂ and CH₄ columns. The method shows promising agreement with previous results obtained by the matched filter analysis for homogeneous scenes at the coal mine. For measurements of volcanic CO₂ emission under heterogeneous conditions at Mt. Etna, we discuss implications and challenges.

Keywords: Remote Sensing; Hyperspectral Imaging; Greenhouse Gases; Point Sources