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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Hlavní autoři:	Zadbagher E, Marangoz AM, Becek K
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Italian Society of Silviculture and Forest Ecology (SISEF) 2024-06-01
Edice:	iForest - Biogeosciences and Forestry
Témata:	Above-Ground Biomass Machine Learning Tropical Forest InSAR Badas Peatland Forest
On-line přístup:	https://iforest.sisef.org/contents/?id=ifor4434-017
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