Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests

Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests

Accurate individual tree segmentation (ITS) is fundamental to forest management and to the studies of forest ecosystem. Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) shows advantages for ITS and tree height estimation at stand and landscape scale. However, dense deciduous forests w...

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Bibliographic Details
Main Authors: Qingda Chen, Tian Gao, Jiaojun Zhu, Fayun Wu, Xiufen Li, Deliang Lu, Fengyuan Yu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
fused dataset
individual tree segmentation
temperate deciduous forest
tree height estimation
UAV-LiDAR
Online Access:https://www.mdpi.com/2072-4292/14/12/2787

Internet

https://www.mdpi.com/2072-4292/14/12/2787

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