Estimation of above-ground biomass using machine learning approaches with InSAR and LiDAR data in tropical peat swamp forest of Brunei Darussalam
Forest above-ground biomass (AGB) is one of the critical measures of forest resources. Therefore, it is crucial to identify a reliable method to estimate the AGB, especially in the tropics, where forest ecosystems are exposed to several depleting factors, including deforestation, climate change and...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Italian Society of Silviculture and Forest Ecology (SISEF)
2024-06-01
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| coleção: | iForest - Biogeosciences and Forestry |
| Assuntos: | |
| Acesso em linha: | https://iforest.sisef.org/contents/?id=ifor4434-017 |
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