Earth Sciences
Automatic detection of methane emissions in multispectral satellite imagery using a vision transformer
B. Rouet-leduc and C. Hulbert
This groundbreaking research by Bertrand Rouet-Leduc and Claudia Hulbert unveils a powerful deep learning approach utilizing Sentinel-2 multispectral satellite data to detect methane emissions. With a revolutionary Vision Transformer architecture, this method dramatically enhances detection abilities, identifying methane sources as small as 0.01 km². Discover how this innovative model outperforms existing techniques and proves effective across diverse environments.
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