Estimating Forest Aboveground Carbon Storage in Hang-Jia-Hu Using Landsat TM/OLI Data and Random Forest Model

Estimating Forest Aboveground Carbon Storage in Hang-Jia-Hu Using Landsat TM/OLI Data and Random Forest Model

Dynamic monitoring of carbon storage in forests resources is important for tracking ecosystem functionalities and climate change impacts. In this study, we used multi-year Landsat data combined with a Random Forest (RF) algorithm to estimate the forest aboveground carbon (AGC) in a forest area in Ch...

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Bibliographic Details
Main Authors: Meng Zhang, Huaqiang Du, Guomo Zhou, Xuejian Li, Fangjie Mao, Luofan Dong, Junlong Zheng, Hua Liu, Zihao Huang, Shaobai He
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Forests
Subjects:
landsat dataset
forest agc estimation
random forest
spatiotemporal evolution
Online Access:https://www.mdpi.com/1999-4907/10/11/1004

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https://www.mdpi.com/1999-4907/10/11/1004

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