Integrating Multi-Source Remote Sensing to Assess Forest Aboveground Biomass in the Khingan Mountains of North-Eastern China Using Machine-Learning Algorithms

Integrating Multi-Source Remote Sensing to Assess Forest Aboveground Biomass in the Khingan Mountains of North-Eastern China Using Machine-Learning Algorithms

Forest aboveground biomass (AGB) is of great significance since it represents large carbon storage and may reduce global climate change. However, there are still considerable uncertainties in forest AGB estimates, especially in rugged regions, due to the lack of effective algorithms to remove the ef...

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Bibliographic Details
Main Authors: Xiaoyi Wang, Caixia Liu, Guanting Lv, Jinfeng Xu, Guishan Cui
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
benchmark mapping
AGB
machine learning
carbon sink
forest monitoring
Online Access:https://www.mdpi.com/2072-4292/14/4/1039

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