As global temperatures rise to record highs, the pressure to curb greenhouse gas emissions has intensified.
As global temperatures rise to record highs, the pressure to curb greenhouse gas emissions has intensified. Methane is particularly targeted because its significant global-warming potential in the short term exceeds carbon dioxide by over 80-fold.
However, monitoring methane emissions and compiling their quantities have been challenging due to limiting trade-offs with existing detection methods.
Now, a research team including Kyoto University and Geolabe, USA has developed a method to automatically detect methane emissions at a global scale.
"Our approach can potentially provide methane detection at high frequency and high resolution from point sources, paving the way for a systematic quantification method," says lead author Bertrand Rouet-Leduc of KyotoU's Disaster Prevention Research Institute and Geolabe.
Read more at: Kyoto University
Methane plume emitting from oil and gas facility. AI to automatically detect global methane emissions in satellite imagery. (Photo Credit: KyotoU/Bertrand Rouet-Leduc)
