基于TLS数据的东北珍贵硬阔叶林单木 树高与枝下高预测模型.

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Title: 基于TLS数据的东北珍贵硬阔叶林单木 树高与枝下高预测模型.
Alternate Title: Prediction models for tree height and height to crown base of individual trees in valuable hardwood broadleaved forests of Northeast China based on terrestrial laser scanning data.
Authors: 谢明睿1, 贾炜玮王帆1,2, 王一东3, 李鹏宇3, 何玉龙3
Source: Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao. Mar2026, Vol. 37 Issue 3, p718-730. 13p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 192950791
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PubType: Academic Journal
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  Data: 基于TLS数据的东北珍贵硬阔叶林单木 树高与枝下高预测模型.
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  Data: Prediction models for tree height and height to crown base of individual trees in valuable hardwood broadleaved forests of Northeast China based on terrestrial laser scanning data.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=192950791
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.13287/j.1001-9332.202603.003
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 718
    Titles:
      – TitleFull: 基于TLS数据的东北珍贵硬阔叶林单木 树高与枝下高预测模型.
        Type: main
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          Name:
            NameFull: 谢明睿
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            NameFull: 贾炜玮王帆
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            NameFull: 王一东
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            NameFull: 李鹏宇
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            NameFull: 何玉龙
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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              Value: 37
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            – TitleFull: Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao
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