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Prediction of tree crown width in natural mixed forests using deep learning algorithm

Yangping Qin Biyun Wu Xiangdong Lei Linyan Feng

森林生态系统（英文版）2023，Vol.10Issue(3)：287-297,11.

森林生态系统（英文版）2023，Vol.10Issue(3)：287-297,11.DOI:10.1016/j.fecs.2023.100109

Prediction of tree crown width in natural mixed forests using deep learning algorithm

Yangping Qin ¹Biyun Wu ²Xiangdong Lei ²Linyan Feng²

作者信息

1. Key Laboratory of Forest Management and Growth Modelling,National Forestry and Grassland Administration,Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing,100091,China||Southwest Survey and Planning Institute,National Forestry and Grassland Administration,Kunming,650031,China
2. Key Laboratory of Forest Management and Growth Modelling,National Forestry and Grassland Administration,Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing,100091,China
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摘要

关键词

Mixed forests/Deep neural networks/Crown width/Stand structure/Competition

Key words

Mixed forests/Deep neural networks/Crown width/Stand structure/Competition

引用本文复制引用

Yangping Qin,Biyun Wu,Xiangdong Lei,Linyan Feng..Prediction of tree crown width in natural mixed forests using deep learning algorithm[J].森林生态系统（英文版）,2023,10(3):287-297,11.

基金项目

This study was funded by National Natural Science Foundation of China(Grant No.31870623)and National Key R&D Program of China(Grant No.2022YFD2200501). （Grant No.31870623）

森林生态系统（英文版）

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ISSN：2095-6355

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