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3 独立情景下（IS模式）基于随机森林和随机增进算法的精度验证

Table 3 Validation statistics for RF and SGT to predict surface soil salinity for different independent scenario in Fig. 4a

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 S2 0.33** 18.52 1.23 0.35** 18.11 1.26 S3 0.34** 36.487 1.23 0.34** 36.485 1.23 S4 0.39** 35.36 1.28 0.41** 34.84 1.30 S5 0.47** 27.36 1.39 0.58** 24.15 1.58 S6 0.50** 33.15 1.17 0.48** 27.80 1.39 S7 0.33** 37.88 1.23 0.50** 33.15 1.40 S8 0.29** 0.79 1.20 0.23** 0.83 1.14 S9 0.51** 2.94 1.44 0.38** 3.31 1.28 S10 0.32** 34.57 1.22 0.38** 33.26 1.27 S11 0.30** 34.08 1.20 0.35** 32.99 1.24