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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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/17/3219/2025/essd-17-3219-2025.pdf |
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