Improving forest above-ground biomass estimation by integrating individual machine learning models

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Improving forest above-ground biomass estimation by integrating individual machine learning models

The accurate estimation of forest above-ground biomass (AGB) is crucial for sustainable forest management and tracking the carbon cycle of forest ecosystem. Machine learning algorithms have been proven to have great potential in forest AGB estimation with remote sensing data. Though many studies hav...

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Bibliographic Details
Main Authors:	Luo, Mi, Ahmad Anees, Shoaib, Huang, Qiuyan, Qin, Xin, Qin, Zhihao, Fan, Jianlong, Han, Guangping, Zhang, Liguo, Mohd Shafri, Helmi Zulhaidi
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/113524/ http://psasir.upm.edu.my/id/eprint/113524/1/113524.pdf

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