A new study published in Nature reveals that artificial intelligence systems can now analyze satellite imagery to detect and track methane emissions from industrial sites with unprecedented accuracy. The research, led by a team from Stanford University, demonstrates that machine learning algorithms can identify methane plumes from oil and gas facilities, landfills, and agricultural operations. This technology offers a significant advancement over traditional ground-based monitoring, providing a scalable solution for global emissions tracking. The findings suggest that AI-powered satellite monitoring could become a critical tool for regulators and companies aiming to reduce greenhouse gas emissions and meet climate targets. Read the full article at: https://example.com/full-article