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Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models

Asadilla Yusup ümüt Halik Maierdang Keyimu Tayierjiang Aishan Abdulla Abliz Babierjiang Dilixiati Jianxin Wei

森林生态系统(英文版)2023,Vol.10Issue(1):1-11,11.
森林生态系统(英文版)2023,Vol.10Issue(1):1-11,11.

Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models

Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models

Asadilla Yusup 1ümüt Halik 1Maierdang Keyimu 2Tayierjiang Aishan 3Abdulla Abliz 1Babierjiang Dilixiati 4Jianxin Wei5

作者信息

  • 1. College of Ecology and Environment,Ministry of Education Key Laboratory of Oasis Ecology,Xinjiang University,ürümqi,830046,China
  • 2. State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Science,Urümqi,830011,China
  • 3. Cele National Station of Observation and Research for Desert-Grassland Ecosystems,Cele,848300,China
  • 4. College of Tourism,Key Laboratory of Sustainable Development of Xinjiang's Historical and Cultural Tourism,Xinjiang University,ürümqi,830046,China
  • 5. Xinjiang Laser Radar Engineering Technology Center,ürümqi,830002,China
  • 折叠

摘要

关键词

Populus euphratica/Trunk volume/Terrestrial laser scanning(TLS)/Reflection intensity/Tarim river

Key words

Populus euphratica/Trunk volume/Terrestrial laser scanning(TLS)/Reflection intensity/Tarim river

引用本文复制引用

Asadilla Yusup,ümüt Halik,Maierdang Keyimu,Tayierjiang Aishan,Abdulla Abliz,Babierjiang Dilixiati,Jianxin Wei..Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models[J].森林生态系统(英文版),2023,10(1):1-11,11.

基金项目

This work was supported by the National Natural Science Foundation of China(Nos.32260285,31860134,32160367,31800469),the Third Xinjiang Scientific Expedition and Research Program(Nos.2022xjkk0301,2021xjkk14002),the Youth Innovation Promotion As-sociation of the Chinese Academy of Sciences(No.2022445),and the Tianchi Doctor Program of Xinjiang Autonomous Region(No.Y970000362). (Nos.32260285,31860134,32160367,31800469)

森林生态系统(英文版)

OACSCDCSTPCD

2095-6355

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