Characterizing the Accelerated Global Carbon Emissions from Forest Loss during 1985–2020 Using Fine-Resolution Remote Sensing Datasets

Characterizing the Accelerated Global Carbon Emissions from Forest Loss during 1985–2020 Using Fine-Resolution Remote Sensing Datasets

Previous studies on global carbon emissions from forest loss have been marked by great discrepancies due to uncertainties regarding the lost area and the densities of different carbon pools. In this study, we employed a new global 30 m land cover dynamic dataset (GLC_FCS30D) to improve the assessmen...

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Bibliographic Details
Main Authors: Wendi Liu, Xiao Zhang, Hong Xu, Tingting Zhao, Jinqing Wang, Zhehua Li, Liangyun Liu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
forest loss
carbon emissions
land cover
tropical rainforest
mountainous forest
Online Access:https://www.mdpi.com/2072-4292/16/6/978

Internet

https://www.mdpi.com/2072-4292/16/6/978

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