Spatial Big Data and Analysis Strategies Supporting Geographic Information System for Transportation (GIS-T) in Conceptual Design, Modelling, and Decision-making: A Review
Zehua Zhangand Yongze Song
Zehua Zhang
School of Design and the Built Environment, Curtin University, Bentley, Australia
Shujun Li, Jianchuan Qi, Yongze Song, and Peng Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-512,https://doi.org/10.5194/essd-2025-512, 2025
Preprint under review for ESSD
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.