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5 情景合并模式（CS模式与RSOSM模式）对土壤盐度预测的精度影响

Table 5 Comparison of combined and regrouped scenarios for soil salinity prediction accuracy according to Method 2 in Section 1.2.7 (Fig.5)

情景合并 Scenario combination 随机森林 Random Forest 随机梯度增进算法 Stochastic Gradient Treeboost R2 RMSE RPD R2 RMSE RPD S2 & S 3 0.49** 29.73 1.37 0.47** 29.54 1.38 S9 & S11 0.51** 28.25 1.43 0.55** 27.23 1.48 S5 & S6 0.43** 32.86 1.32 0.47** 31.63 1.37 S5 & S6 (RSOSM) 0.40** 33.77 1.29 0.40** 33.47 1.30 S7 & S8 0.43** 32.25 1.32 0.51** 30.01 1.43 S7 & S8 (RSOSM) 0.46** 31.55 1.36 0.47** 31.03 1.38