Aboveground biomass estimation using multimodal remote sensing observations and machine learning in mixed temperate forest

Aboveground biomass estimation using multimodal remote sensing observations and machine learning in mixed temperate forest

Abstract Plants sequester carbon in their aboveground components, making aboveground tree biomass a key metric for assessing forest carbon storage. Traditional methods of aboveground biomass (AGB) estimation via Forest Inventory and Analysis (FIA) plots lack sufficient sampling intensity to directly...

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Bibliographic Details
Main Authors: Shashika Himandi Gardeye Lamahewage, Chandi Witharana, Rachel Riemann, Robert Fahey, Thomas Worthley
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Aboveground biomass
Forest carbon
Random forest regression
Forest inventory and analysis
LiDAR
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-15585-6
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https://doi.org/10.1038/s41598-025-15585-6

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