基于RF和SGT算法的子区优先建模对绿洲尺度 土壤盐度预测精度的影响

王飞,杨胜天,魏阳,杨晓东,丁建丽

Influence of Sub-Region Priority Modeling Constructed by Random Forest and Stochastic Gradient Treeboost on the Accuracy of Soil Salinity Prediction in Oasis Scale

WANG Fei,YANG ShengTian,WEI Yang,YANG XiaoDong,DING JianLi

表4 RS模式基于随机森林和随机增进算法的精度验证（根据情景划定规则重分类）

Table 4 Validation statistics of RF and SGT to predict surface soil salinity for different scenarios originating at the oasis scale according to Method 1 in Section 1.2.7 in Fig. 4-b

情景 Scenario 随机森林 Random Forest 随机梯度增进算法 Stochastic Gradient Treeboost R2 RMSE RPD R2 RMSE RPD S1 0.46** 29.65 1.37 0.48** 29.17 1.39 S2 0.30** 19.20 1.18 0.44** 16.97 1.34 S3 0.38** 35.50 1.27 0.37** 35.71 1.26 S4 0.35** 36.46 1.24 0.34** 36.67 1.24 S5 0.51** 27.94 1.36 0.54** 26.06 1.46 S6 0.46** 28.42 1.36 0.50** 27.31 1.42 S7 0.39** 36.78 1.26 0.36** 37.09 1.25 S8 ns 15.19 0.06 ns 18.52 0.05 S9 0.20** 21.68 0.20 0.18** 21.68 0.20 S10 0.37** 33.73 1.25 0.39** 27.17 1.27 S11 0.28** 37.88 1.08 0.31** 37.12 1.10