Assessing ensemble models for carbon sequestration and storage estimation in forests using remote sensing data
Forests play a crucial role in storing much of the world's carbon (C). Accurately estimating C sequestration is essential for addressing and mitigating the impacts of global warming. While many studies have used machine learning models to estimate carbon storage (CS) in forests based on remote sensi...
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| Główni autorzy: | , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Elsevier
2024-11-01
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| Seria: | Ecological Informatics |
| Hasła przedmiotowe: | |
| Dostęp online: | http://www.sciencedirect.com/science/article/pii/S1574954124003704 |
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