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An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data

Zhengnan Zhang Tiejun Wang Andrew K.Skidmore Fuliang Cao Guanghui She Lin Cao

森林生态系统（英文版）2023，Vol.10Issue(1)：46-55,10.
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森林生态系统（英文版）2023，Vol.10Issue(1)：46-55,10.

An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data

An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data

Zhengnan Zhang 1Tiejun Wang 2Andrew K.Skidmore 2Fuliang Cao 2Guanghui She 1Lin Cao1

作者信息

  • 1. Co-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing,210037,China
  • 2. Faculty of Geo-Information Science and Earth Observation(ITC),University of Twente,P.O.Box 217,7500 AE,Enschede,the Netherlands
  • 折叠

摘要

关键词

Plant functional traits/Forest inventory/Height-DBH relationship/LiDAR structural metrics

Key words

Plant functional traits/Forest inventory/Height-DBH relationship/LiDAR structural metrics

引用本文复制引用

Zhengnan Zhang,Tiejun Wang,Andrew K.Skidmore,Fuliang Cao,Guanghui She,Lin Cao..An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data[J].森林生态系统（英文版）,2023,10(1):46-55,10.

基金项目

This research was funded by the National Key Research and Devel-opment Program(No.2017YFD0600904),the National Natural Science Foundation of China(No.31922055),the Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX21_0913),and the Priority Academic Program Development of Jiangsu Higher Ed-ucation Institutions(PAPD).The work of the first author(Z.Zhang)was carried out at the University of Twente while he was visiting the Netherlands as a joint doctoral student,funded by the China Scholarship Council(Grant No.202108320285).The work of the third author(A.K.Skidmore)is partially supported by the Horizon 2020 Research and Innovation Programme—European Commission'BIOSPACE Monitoring Biodiversity from Space'project(Grant Agreement ID 834709,H2020-EU.1.1). （No.2017YFD0600904）

森林生态系统（英文版）

OACSCDCSTPCD

2095-6355

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