Machine learning based methods for tree species classification and wood-leaf separation from handheld LiDAR data

doi:10.11947/j.AGCS.2026.20240388

Acta Geodaetica et Cartographica Sinica ›› 2026, Vol. 55 ›› Issue (3): 569-569.doi: 10.11947/j.AGCS.2026.20240388

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Machine learning based methods for tree species classification and wood-leaf separation from handheld LiDAR data

Meilian WANG¹^,²()

^1.Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
^2.Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hong Kong 999077, China

Received:2024-10-08 Online:2026-04-16 Published:2026-04-16
About author:WANG Meilian (1995—), female, received her doctoral degree from The Hong Kong Polytechnic University in December 2023, majors in vegetation LiDAR and ecological application. E-mail: meilianww@swjtu.edu.cn

Abstract

CLC Number:

P237

Meilian WANG. Machine learning based methods for tree species classification and wood-leaf separation from handheld LiDAR data[J]. Acta Geodaetica et Cartographica Sinica, 2026, 55(3): 569-569.

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Machine learning based methods for tree species classification and wood-leaf separation from handheld LiDAR data

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