Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-803-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-803-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
Data description paper
 | 
07 Feb 2024
Data description paper |  | 07 Feb 2024

A 2020 forest age map for China with 30 m resolution

Kai Cheng, Yuling Chen, Tianyu Xiang, Haitao Yang, Weiyan Liu, Yu Ren, Hongcan Guan, Tianyu Hu, Qin Ma, and Qinghua Guo

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Latest update: 10 May 2024
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Short summary
To quantify forest carbon stock and its future potential accurately, we generated a 30 m resolution forest age map for China in 2020 using multisource remote sensing datasets based on machine learning and time series analysis approaches. Validation with independent field samples indicated that the mapped forest age had an R2 of 0.51--0.63. Nationally, the average forest age is 56.1 years (standard deviation of 32.7 years).
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