Remote Sensing Technology and Application, Volume. 39, Issue 1, 77(2024)
Remote Sensing Monitoring of Phyllostachys Pubescens Expanding Fir Forests based on Phenological Features
Figures & Tables(13)
Fig. 5. Dynamics of stand density under different levels of Exoansion
Fig. 8. The relationship between the apparent characteristic composite index and the degree of expansion
Fig. 9. Dynamics of apparent characteristic composite index at different levels of expansion
Table 1. Composite Vegetation Index principal component analysis
View tableView in ArticleTable 1. Composite Vegetation Index principal component analysis
类别 DVI RVI NRI NDVI GNDVI WDRVI MSAVI 特征值贡献率/% 主成分1 0.40 0.92 0.94 0.96 0.94 0.96 0.43 68.43 主成分2 0.92 -0.30 -0.12 -0.13 -0.06 -0.19 0.90 25.94 主成分3 0.03 0.17 -0.30 0.22 -0.33 0.20 0.03 4.52 主成分4 0.02 0.18 0.09 -0.12 -0.10 -0.05 0.02 0.99 主成分5 0.00 0.04 -0.06 -0.02 0.05 -0.01 0.00 0.11 主成分6 0.02 0.00 0.00 0.01 0.00 -0.01 -0.02 0.01 主成分7 0.01 0.00 0.00 -0.01 0.00 0.02 0.00 0.01
Table 2. Forest density accuracy verification
View tableView in ArticleTable 2. Forest density accuracy verification
2020年 单株 两株 三株 其他 总和 生产者精度/% 2021年 单株 两株 三株 其他 总和 生产者精度/% 总体精度=78.40% Kappa=0.692 总体精度=73.60% Kappa=0.637 单株 113 39 17 0 169 91.13 单株 130 29 6 23 188 81.76 两株 7 118 20 1 146 69.01 两株 22 105 32 2 161 72.92 三株 3 11 139 5 158 78.53 三株 0 6 60 1 67 61.22 其他 1 3 1 22 27 78.57 其他 7 4 0 73 84 73.74 总和 124 171 177 28 500 总和 159 144 98 99 500 使用者精度/% 66.86 80.82 87.97 81.48 使用者精度/% 69.15 65.22 89.55 86.90
Table 3. Correlation between different pixel estimates and LAI
View tableView in ArticleTable 3. Correlation between different pixel estimates and LAI
植被指数 不同窗口 0.06 m×0.06 m 0.1 m×0.1 m 0.3 m×0.3 m 0.5 m×0.5 m 1 m×1 m 3 m×3 m 5 m×5 m DVI 0.267* 0.267* 0.267* 0.266* 0.253 0.217 0.120 RVI 0.675** 0.675** 0.673** 0.666** 0.673** 0.596** 0.387** NRI 0.551** 0.550** 0.550** 0.534** 0.564** 0.533** 0.286* NDVI 0.720** 0.720** 0.718** 0.718** 0.722** 0.714** 0.435** GNDVI 0.554** 0.554** 0.556** 0.539** 0.564** 0.544** 0.332** WDRVI 0.719** 0.719** 0.716** 0.715** 0.719** 0.697** 0.439** MSAVI 0.286* 0.286* 0.285* 0.284* 0.272* 0.233 0.136
Table 4. Analysis of LAI Estimation Models at Different Spatial Resolutions
View tableView in ArticleTable 4. Analysis of LAI Estimation Models at Different Spatial Resolutions
0.06 0.1 0.3 0.5 R2 RA/% RMSE R2 RA/% RMSE R2 RA/% RMSE R2 RA/% RMSE 单变量 0.44 87.12 0.69 0.44 87.12 0.69 0.46 87.00 0.69 0.46 86.99 0.69 RF 0.46 86.02 0.73 0.45 86.00 0.73 0.44 86.17 0.72 0.47 85.91 0.74 SVM 0.46 86.70 0.71 0.45 86.65 0.71 0.46 86.75 0.70 0.43 86.76 0.70 1 3 5 R2 RA/% RMSE R2 RA/% RMSE R2 RA/% RMSE 单变量 0.45 87.29 0.68 0.48 86.82 0.69 0.32 86.37 0.69 RF 0.50 86.75 0.68 0.56 85.80 0.74 0.39 85.81 0.74 SVM 0.46 86.96 0.69 0.44 86.95 0.68 0.25 86.72 0.69
Table 5. Vegetation composite index principal component analysis
View tableView in ArticleTable 5. Vegetation composite index principal component analysis
CVI YF 林分密度 LAI 特征值贡献率/% 主成分1 0.48 0.71 0.56 0.62 36.08 主成分2 0.71 -0.22 -0.66 0.29 26.95 主成分3 -0.30 -0.51 0.14 0.68 20.88 主成分4 0.41 -0.44 0.48 -0.24 16.10
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Xiafan YAN, Bifeng CAO, Jihong SHI, Xueting LU, Xianfen SONG, Jian LIU, Kunyong YU. Remote Sensing Monitoring of Phyllostachys Pubescens Expanding Fir Forests based on Phenological Features[J]. Remote Sensing Technology and Application, 2024, 39(1): 77
Paper Information
Category: Research Articles
Received: Jun. 6, 2022
Accepted: --
Published Online: Jul. 22, 2024
The Author Email: Xiafan YAN (982223240@qq.com)
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