• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 10, 3263 (2022)
Zi-zhao LI*, Shou-dong BI, Yu-huan CUI, and Shuang HAO*;
Author Affiliations
  • School of Science, Anhui Agricultural University, Hefei 230036, China
  • show less
    DOI: 10.3964/j.issn.1000-0593(2022)10-3263-06 Cite this Article
    Zi-zhao LI, Shou-dong BI, Yu-huan CUI, Shuang HAO. Comparison of Forest Stock Volume Inversion Methods Coupled With Multiple Features——A Case Study of Forest in Yarlung Zangbo River Basin[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3263 Copy Citation Text show less
    Location and sample plots of the study area
    Fig. 1. Location and sample plots of the study area
    Relationship of the number of decision trees and the error
    Fig. 2. Relationship of the number of decision trees and the error
    The importance of each feature
    Fig. 3. The importance of each feature
    Scatter plots of different inversion models
    Fig. 4. Scatter plots of different inversion models
    Comparison of accuracy
    Fig. 5. Comparison of accuracy
    特征组合模型名称R2MAE/
    (m3·ha-1)
    RMSE/
    (m3·ha-1)
    地形因子和
    波段比值
    多元逐步回归0.43668.72578.012
    BP神经网络0.39770.16980.003
    随机森林0.61763.87572.457
    地形因子和
    纹理特征
    多元逐步回归0.50261.99774.948
    BP神经网络0.44368.25877.864
    随机森林0.70458.86367.712
    地形、 波段和
    纹理特征
    多元逐步回归0.54158.31771.562
    BP神经网络0.47767.50373.226
    随机森林0.73955.35263.195
    Table 1. Modeling result
    Zi-zhao LI, Shou-dong BI, Yu-huan CUI, Shuang HAO. Comparison of Forest Stock Volume Inversion Methods Coupled With Multiple Features——A Case Study of Forest in Yarlung Zangbo River Basin[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3263
    Download Citation