"Quantifying methane emissions in Poland" by Sandro Meier, Empa
Entry in category 3 Locations and instruments; Copyright CC-BY-NC-ND: Sandro Meier
Methane is a potent greenhouse gas, making it a critical target for environmental monitoring. Key anthropogenic sources of methane include agriculture, fossil fuel industries, and waste management sectors. However, significant uncertainties persist regarding the precise locations and quantities of methane emissions.
Remote sensing techniques offer a powerful solution to address these uncertainties by enabling large-scale, systematic mapping of methane sources. By utilizing hyperspectral imaging, we can detect methane through spectral analysis, matching the gas's unique absorption spectrum with measured spectra from aerial or satellite observations.
This image was captured during a measurement campaign focusing on methane emissions from active coal mines in Poland. The hyperspectral approach allows for efficient detection and quantification of methane sources across extensive industrial landscapes, providing critical data for understanding and mitigating greenhouse gas emissions.
"Quantifying methane emissions in Poland" by Sandro Meier, Empa
Entry in category 3 Locations and instruments; Copyright CC-BY-NC-ND: Sandro Meier
Methane is a potent greenhouse gas, making it a critical target for environmental monitoring. Key anthropogenic sources of methane include agriculture, fossil fuel industries, and waste management sectors. However, significant uncertainties persist regarding the precise locations and quantities of methane emissions.
Remote sensing techniques offer a powerful solution to address these uncertainties by enabling large-scale, systematic mapping of methane sources. By utilizing hyperspectral imaging, we can detect methane through spectral analysis, matching the gas's unique absorption spectrum with measured spectra from aerial or satellite observations.
This image was captured during a measurement campaign focusing on methane emissions from active coal mines in Poland. The hyperspectral approach allows for efficient detection and quantification of methane sources across extensive industrial landscapes, providing critical data for understanding and mitigating greenhouse gas emissions.