Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 9
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.
https://doi.org/10.5194/essd-18-6225-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 9
Data description article
 | 
01 Sep 2026
Data description article |  | 01 Sep 2026

A global 30 m disturbance-recovery age dataset for young natural and planted forests (1985–2024)

Yan Wang, Hengbin Wang, Chaoran Liang, Xiyi Li, Zhe Liu, Xiaodong Zhang, Shaoming Li, Jinming Yang, and Yuanyuan Zhao

Viewed

Total article views: 3,294 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,182 987 125 3,294 70 104
  • HTML: 2,182
  • PDF: 987
  • XML: 125
  • Total: 3,294
  • BibTeX: 70
  • EndNote: 104
Views and downloads (calculated since 08 Jan 2026)
Cumulative views and downloads (calculated since 08 Jan 2026)

Viewed (geographical distribution)

Total article views: 3,294 (including HTML, PDF, and XML) Thereof 3,281 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Sep 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint