Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-6993-2025
https://doi.org/10.5194/essd-17-6993-2025
Data description paper
 | 
10 Dec 2025
Data description paper |  | 10 Dec 2025

Dynamics of China's forest carbon storage: the first 30 m annual aboveground biomass mapping from 1985 to 2023

Yaotong Cai, Peng Zhu, Xing Li, Xiaoping Liu, Yuhe Chen, Qianhui Shen, Xiaocong Xu, Honghui Zhang, Sheng Nie, Cheng Wang, Jia Wang, Bingjie Li, Changjiang Wu, and Haoming Zhuang

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Short summary
China’s forests play a crucial role in storing carbon and mitigating climate change, yet long-term high-resolution data on their biomass have been limited. We developed a 30 m annual forest aboveground biomass dataset from 1985 to 2023 using satellite data and deep learning. Our results reveal significant biomass gains, regional variations, and the impact of forest policies. This dataset provides valuable insights for climate research, conservation planning, and sustainable forest management.
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