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A tree detection method based on trunk point cloud section in dense plantation forest using drone LiDAR data

Yupan Zhang Yiliu Tan Yuichi Onda Asahi Hashimoto Takashi Gomi Chenwei Chiu Shodai Inokoshi

森林生态系统（英文版）2023，Vol.10Issue(1)：37-45,9.
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森林生态系统（英文版）2023，Vol.10Issue(1)：37-45,9.

A tree detection method based on trunk point cloud section in dense plantation forest using drone LiDAR data

A tree detection method based on trunk point cloud section in dense plantation forest using drone LiDAR data

Yupan Zhang 1Yiliu Tan 2Yuichi Onda 1Asahi Hashimoto 1Takashi Gomi 3Chenwei Chiu 3Shodai Inokoshi3

作者信息

  • 1. Center for Research in Isotopes and Environmental Dynamics,University of Tsukuba,1-1-1,Tennodai,Tsukuba,Ibaraki,305-8572,Japan
  • 2. Graduate School of Systems and Information Engineering,University of Tsukuba,1-1-1,Tennodai,Tsukuba,Ibaraki,305-8572,Japan
  • 3. Department of International Environmental and Agricultural Science,Tokyo University of Agriculture and Technology,3-5-8,Saiwaie,Fuchu,Tokyo,183-8509,Japan
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摘要

关键词

Tree detection/Trunk sections/Forest/Drone/LiDAR

Key words

Tree detection/Trunk sections/Forest/Drone/LiDAR

引用本文复制引用

Yupan Zhang,Yiliu Tan,Yuichi Onda,Asahi Hashimoto,Takashi Gomi,Chenwei Chiu,Shodai Inokoshi..A tree detection method based on trunk point cloud section in dense plantation forest using drone LiDAR data[J].森林生态系统（英文版）,2023,10(1):37-45,9.

基金项目

This study was funded by KAKENHI Number 16H02556 of the Cab-inet Office,Government of Japan,the Cross-ministerial Strategic Inno-vation Promotion Program(SIP),"Enhancement of Societal Resiliency Against Natural Disasters".Funding was provided by the Japan Science and Technology Agency(JST)as part of the Belmont Forum.This work was supported by JST SPRING,Grant Number JPMJSP2124.We gratefully acknowledge Yuichi Onda and Takashi Gomi for sup-port of field surveys,LiDAR scanning and drone equipment for collecting LiDAR data.We thank anonymous reviewers for comments that improved the manuscript.We are also very grateful to Shodai Inokoshi and Asahi Hashimoto for the indispensable support during the field work.Further we thank Yiliu Tan for her valuable help and critical discussions during the algorithm process. （SIP）

森林生态系统（英文版）

OACSCDCSTPCD

2095-6355

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