Articles | Volume 18, issue 9
https://doi.org/10.5194/essd-18-6225-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-6225-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A global 30 m disturbance-recovery age dataset for young natural and planted forests (1985–2024)
Yan Wang
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Hengbin Wang
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Chaoran Liang
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Xiyi Li
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Zhe Liu
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources of the People's Republic of China, Beijing 100083, China
Xiaodong Zhang
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources of the People's Republic of China, Beijing 100083, China
Shaoming Li
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources of the People's Republic of China, Beijing 100083, China
Jinming Yang
Qingdao Agricultural University, No. 700 Changcheng Road, Chengyang, Qingdao, Shandong 266109, China
Yuanyuan Zhao
CORRESPONDING AUTHOR
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources of the People's Republic of China, Beijing 100083, China
Data sets
Global Natural and Planted Forest Age dataset Yan Wang et al. https://doi.org/10.5281/zenodo.22030377
Short summary
Forests are vital for biodiversity, carbon storage and ecosystem services. We developed a 30 m global forest-age dataset (1985–2024) that distinguishes natural and planted forests with different recovery dynamics. The dataset integrates long-term satellite observations and provides pixel-level uncertainty information, enabling improved understanding of global forest age patterns and supporting carbon, ecosystem and forest management studies.
Forests are vital for biodiversity, carbon storage and ecosystem services. We developed a 30 m...
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