Remote Sensing Technology and Application, Volume. 40, Issue 3, 557(2025)

Estimating Forest Age of Temperate Forests in China based on Forest Canopy Height: A Case Study in Heilongjiang Province

Chengyu LIU1, Qin MA2, Yanlian ZHOU3、*, and Weimin JU1
Author Affiliations
  • 1International Institute for Earth System Sciences, Nanjing University, Nanjing210023, China
  • 2School of Geography, Nanjing Normal University, Nanjing210023, China
  • 3School of Geography and Ocean Science, Nanjing University, Nanjing210023, China
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    Figures & Tables(13)
    Forest distribution map of Heilongjiang Province
    Differences between forest canopy height data and average tree height observations in sample plots
    Accuracy of forest age for different forest types estimated by different models
    Overall validation accuracy of forest age estimated by different models
    Spatial distribution of forest age in Heilongjiang in 2020 using random forest model
    Distribution of forest age data for different forest types in Heilongjiang
    Forest age distribution of Heilongjiang in Shang’s data and differences between it and the data in this study
    Differences between the estimated forest age and Age_shang
    Statistical comparison of two forest age data
    Importance of different factors in a random forest model for estimating forest age
    • Table 1. Forest types and their profiles in sample plots

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      Table 1. Forest types and their profiles in sample plots

      林分类型年龄区间/a平均年龄/a树高区间/m平均树高/m样地数
      落叶阔叶林4~160480.5~24.012.191 162
      落叶针叶林5~180790.3~24.713.45218
      常绿针叶林3~153400.6~24.512.6198
      针阔混交林6~220522.6~32.513.13243
    • Table 2. Five growth equations representing the relationship between forest height and age

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      Table 2. Five growth equations representing the relationship between forest height and age

      模型名称模型形式
      MitscherlichH = a* (1-EXP( - r* A))
      LogisticH =a/(1+m*EXP(-r*A))
      KorfH=a*EXP(-m*(1/A)r)
      GompertzH=a*EXP(-m*EXP(-r*A))
      RichardsH=a*(1 + b*EXP(r*A))(1/(1-m))
    • Table 3. Optimal growth equations for different forest types fitted using sample plot observations

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      Table 3. Optimal growth equations for different forest types fitted using sample plot observations

      林分类型拟合的最优模型R2RMSE/m
      落叶阔叶林H=17.45*(1-EXP(-0.03*A))0.82***1.73
      落叶针叶林H=18.48/(1+3.41*EXP-0.03*A)0.78***2.24
      常绿针叶林H=15.52/(1+5.21*EXP-0.12*A)0.65***2.50
      针阔混交林H=28.46*EXP(-5.46/A-0.52)0.75***2.01
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    Chengyu LIU, Qin MA, Yanlian ZHOU, Weimin JU. Estimating Forest Age of Temperate Forests in China based on Forest Canopy Height: A Case Study in Heilongjiang Province[J]. Remote Sensing Technology and Application, 2025, 40(3): 557

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    Paper Information

    Category:

    Received: Feb. 2, 2024

    Accepted: --

    Published Online: Sep. 28, 2025

    The Author Email: Yanlian ZHOU (zhouyl@nju.edu.cn)

    DOI:10.11873/j.issn.1004-0323.2025.3.0557

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