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Researchers from Kyoto University in Japan have developed an advanced method using a vision transformer deep learning model to automatically detect global methane emissions. This technique utilizes novel multispectral satellite imagery to significantly improve the accuracy and frequency of methane detection on a global scale. The study, published in Nature Communications, presents a groundbreaking approach to monitoring methane emissions worldwide.
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