Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

IntroductionThe unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.MethodsUAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus syl...

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Bibliographic Details
Main Authors:	Hanyu Zhang, Bingjie Liu, Bin Yang, Jiachang Guo, Zhenhua Hu, Mengtao Zhang, Zhaohui Yang, Jianshuang Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-06-01
Series:	Frontiers in Forests and Global Change
Subjects:	deep learning tree species classification UAV-LiDAR point cloud
Online Access:	https://www.frontiersin.org/articles/10.3389/ffgc.2025.1431603/full
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Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

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