Articles | Volume 18, issue 2
https://doi.org/10.5194/essd-18-1103-2026
© 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-18-1103-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
10 Feb 2026
Data description article |
| 10 Feb 2026
| 10 Feb 2026
1 km annual forest cover and plant functional type dataset for China from 1981 to 2023
Bo Liu
School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, PR China
Boyan Li
CORRESPONDING AUTHOR
School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, PR China
Fulai Feng
School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, PR China
Yangcan Bao
School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, PR China
Jing Li
School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, PR China
Qi Feng
CORRESPONDING AUTHOR
School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, PR China
Key Laboratory of Ecohydrology of Inland River Basin/Gansu Qilian Mountains Eco-Environment Research Center, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, PR China
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Short summary
We present a 1 km annual dataset of forest cover and nine plant functional types (PFTs) for China, spanning 1981–2023. By integrating multi-source remote sensing imagery with National Forest Inventory data, this dataset reveals spatiotemporal dynamics consistent with China's massive afforestation and ecological restoration initiatives. It serves as a critical tool for clarifying the impacts of forest cover change on the regional terrestrial carbon balance.
We present a 1 km annual dataset of forest cover and nine plant functional types (PFTs) for...
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