基于冠层时序植被指数的冬小麦单产预测

项方林,李鑫格,马吉锋,刘小军,田永超,朱艳,曹卫星,曹强

Using Canopy Time-Series Vegetation Index to Predict Yield of Winter Wheat

XIANG FangLin,LI XinGe,MA JiFeng,LIU XiaoJun,TIAN YongChao,ZHU Yan,CAO WeiXing,CAO Qiang

表6 基于NDRE和NDVI的冬小麦单产预测模型验证结果

Table 6 Validation results of yield prediction model based on NDRE and NDVI in winter wheat

植被指数 Vegetation index 模型 Model 单产预测模型 Yield prediction model R2 RRMSE (%) RE (%) RNDRE 单生育时期线性回归单产模型 Yield model based on linear regression in single growth stage 拔节期 Jointing y=12.47x+1.67 0.59 24.3 23.5 孕穗期 Booting y =17.34x-0.65 0.79 18.7 18.2 抽穗期 Heading y =17.46x-0.73 0.77 17.4 16.6 开花期 Flowering y =17.97x-0.87 0.79 17.7 16.7 灌浆期 Filling y =17.46x+0.13 0.71 15.5 14.4 多元逐步线性回归模型 Yield model based on stepwise multiple linear regression y= -2.16x1+16.83x2+9.15x3-4.40x4-2.35x5-0.75 0.81 17.6 17.3 y= -2.85x1+17.69x2+5.67x3-3.23x5-0.90 0.80 17.8 17.6 y= -2.54x1+21.94x2-2.14x5-0.81 0.78 18.3 18.2 y= -2.53x1+19.90x2-0.75 0.79 17.7 17.4 RNDVI 单生育时期线性回归单产模型 Yield model based on linear regression in single growth stage 拔节期 Jointing y = 8.8027x - 0.4221 0.56 14.2 17.2 孕穗期 Booting y = 11.822x - 3.4517 0.73 13.6 14.4 抽穗期 Heading y = 12.877x - 4.3125 0.68 16.1 17.4 开花期 Flowering y = 17.707x - 8.1348 0.73 17.5 19.5 灌浆期 Filling y = 13.383x - 3.9326 0.75 16.4 15.3 多元逐步线性回归模型 Yield model based on stepwise multiple linear regression y=0.14x1+11.23x2-13.22x3+23.12x4-3.57x5-8.31 0.69 16.6 19.6 y=11.25x2-13.36x3+23.27x4-3.38x5-8.36 0.69 16.7 19.7 y=12.21x2-14.79x3+19.45x4-7.45 0.68 16.3 18.2