Predicting forest carbon storage and identifying hotspot in the Loess Plateau under future climate change–supporting China's dual carbon strategy
Forests play a crucial role in the global carbon cycle and climate change mitigation. However, regional-scale assessments of forest carbon storage and hotspot identification remain challenging. In this study, we employed a k-fold random forest (K-RF) algorithm to classify forest types across the Loe...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2516727 |
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