Mapping of secondary forest age in China using stacked generalization and Landsat time series
Abstract A national distribution of secondary forest age (SFA) is essential for understanding the forest ecosystem and carbon stock in China. While past studies have mainly used various change detection algorithms to detect forest disturbance, which cannot adequately characterize the entire forest l...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-03133-2 |