China's annual forest age dataset at a 30 m spatial resolution from 1986 to 2022

China's annual forest age dataset at a 30 m spatial resolution from 1986 to 2022

<p>Forest age is crucial for both carbon cycle modeling and effective forest management. Remote sensing provides crucial data for large-scale forest age mapping, but existing products often suffer from a low spatial resolution (typically 1000 m), making them unsuitable for most forest stands i...

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Bibliographic Details
Main Authors: R. Shang, X. Lin, J. M. Chen, Y. Liang, K. Fang, M. Xu, Y. Yan, W. Ju, G. Yu, N. He, L. Xu, L. Liu, J. Li, W. Li, J. Zhai, Z. Hu
Format: Article
Language:English
Published: Copernicus Publications 2025-07-01
Series:Earth System Science Data
Online Access:https://essd.copernicus.org/articles/17/3219/2025/essd-17-3219-2025.pdf
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