Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 7
Articles | Volume 18, issue 7
https://doi.org/10.5194/essd-18-4523-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-4523-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 7
Data description article
 | 
03 Jul 2026
Data description article |  | 03 Jul 2026

Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches

Shujun Li, Jianchuan Qi, Yongze Song, and Peng Wang

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Short summary
Wind power plays a crucial role in the global transition to clean energy. Here, we developed an innovative approach that integrates public mapping resources and AI models to generate a comprehensive global inventory of onshore wind turbines. The resulting dataset documents 416 532 onshore wind turbine installations worldwide. As an open-access resource, this dataset can support sustainable renewable energy development and optimization.
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