"Using a deep-learning model trained on sub-metre satellite imagery, the team identified China’s 319,972 solar photovoltaic facilities and 91,609 wind turbines,
Researchers utilized a deep-learning model trained on high-resolution satellite imagery to map China's renewable energy infrastructure. The analysis identified nearly 320,000 solar photovoltaic facilities and over 91,000 wind turbines. This extensive mapping effort involved processing 7.56 terabytes of satellite data. AI
IMPACT Demonstrates AI's capability in large-scale infrastructure mapping for energy sector analysis.