"Using remote sensing to quantify emissions" 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. 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.
In our research, we use an airborne hyperspectral imaging spectrometer called AVIRIS-4 built into a Cessna Caravan which is depicted on the image. 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 approach enables precise identification of methane release points, providing crucial insights into the distribution and magnitude of this potent greenhouse gas. This methodology represents a significant advancement in environmental monitoring and climate change research.
"Using remote sensing to quantify emissions" 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. 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.
In our research, we use an airborne hyperspectral imaging spectrometer called AVIRIS-4 built into a Cessna Caravan which is depicted on the image. 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 approach enables precise identification of methane release points, providing crucial insights into the distribution and magnitude of this potent greenhouse gas. This methodology represents a significant advancement in environmental monitoring and climate change research.