AIBullisharXiv – CS AI · 7h ago7/10
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AI4Land: Scalable Deep Learning for Global High-Resolution Land Use Reconstruction
AI4Land presents a deep learning framework using U-Net architecture to generate high-resolution reconstructions of historical land use and cover data by combining coarse satellite imagery with geophysical features. The system aims to reduce uncertainties in climate modeling and carbon cycle projections while enabling real-time coupling with digital twin platforms for climate simulation.