A spatial second-order non-stationary interpolation method for large area mapping
Peng Luo
Chair of Cartography, Technical University of Munich, Germany
Yongze Song
School of Design and the Built Environment, Curtin University, Australia
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Short summary
Short summary
Wind power plays a crucial role in our transition to clean energy. We developed an innovative approach that merges public mapping resources with satellite imagery and AI models. The result provides a comprehensive global inventory of wind turbines, documenting over 379,000 onshore installations worldwide. This open-access dataset serves as a valuable data for policymakers and scientists, offering insights to better manage renewable energy development while minimizing environmental impacts.
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