Enhancing carbon stock estimation in forests: Integrating multi-data predictors with random forest method
Forests are crucial to the global carbon cycle, making accurate measurement of biomass essential for evaluating their carbon capture potential. This study presents a novel approach to estimate and map carbon stocks and sequestration potential in dense forests, by integrating multisensory remote sens...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125000068 |