A new study published in Nature reveals that AI systems can now analyze satellite imagery to detect methane leaks from oil and gas infrastructure with unprecedented speed and accuracy. The research team trained a machine learning model on over one million satellite images, enabling it to identify methane plumes that are often invisible to the naked eye and traditional monitoring methods. This development could significantly enhance global efforts to track and reduce emissions of methane, a potent greenhouse gas. The system’s automated approach allows for near-real-time monitoring of vast geographical areas, a task previously requiring extensive manual analysis. While promising, the researchers note that ground verification is still necessary, and the technology’s effectiveness can be limited by cloud cover. For the full details, read the complete article at https://example.com/full-article.