Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data

• Published in: Remote sensing of environment Vol. 280; p. 113143
• Main Authors: Qin, Haiming, Zhou, Weiqi, Yao, Yang, Wang, Weimin
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.10.2022
• Subjects: algorithms; China; deciduous forests; environment; Hyperspectral data; Individual tree segmentation; lidar; LiDAR data; Subtropical broadleaf forests; Tree species classification; Ultrahigh-resolution RGB imagery; unmanned aerial vehicles; watersheds; China; LiDAR data; Subtropical broadleaf forests; Hyperspectral data; Ultrahigh-resolution RGB imagery; Individual tree segmentation; Tree species classification

Accurate classification of individual tree species is essential for inventorying, managing, and protecting forest resources. Individual tree species classification in subtropical forests remains challenging as existing individual tree segmentation algorithms typically result in over-segmentation in...