基于光谱指数和偏最小二乘的棉花类胡萝卜素/叶绿素a比值估算

易秋香,刘英,常存,钟瑞森

Estimation of cotton Car/Chla ratio by hyperspectral vegetation indices and partial least square regression

Qiu-Xiang YI,Ying LIU,Cun CHANG,Rui-Sen ZHONG

表3 基于植被指数的Car/Chla比值及Car估算模型

Table 3 Vegetation indices predictive models for Car/Chla ratio and Car

建模方法 Method 叶片尺度Leaf level 冠层尺度Canopy level 比值Car/Chla ratio 类胡萝卜素Car 比值Car/Chla ratio 类胡萝卜素Car PRI-Linear y= -0.834x+0.338 R2=0.723 y= -30.58x+14.86 R2=0.541 y=1.343x+0.313 R2=0.670 y= -0.009x+0.135 R2=0.486 PRI-Polynomial y=1.897x2-1.31x+0.348 R2=0.732 y=26.1x2-37.07x+14.9 R2=0.542 y=3.191x2-1.679x+0.309 R2=0.681 y=0.001x2-0.044x+0.349 R2=0.487 PRI*CI-Linear y= -0.155x+0.328 R2=0.638 y= -5.35x +14.37 R2=0.426 y= -0.127x + 0.32 R2=0.519 y= -0.0718x+1.1565 R2=0.356 PRI*CI-Polynomial y=0.104x2-0.293x+0.341 R2=0.681 y=5.38x2-12.49x+15.03 R2=0.488 y=0.073x2-0.248x+0.321 R2=0.627 y=0.01x2-0.34x+2.79 R2=0.431 PSRI-Linear y=3.711x + 0.323 R2=0.203 y=155.2x + 14.47 R2=0.196 y=1.74x + 0.293 R2=0.157 y=0.0015x-0.0158 R2=0.093 PSRI-Polynomial y= -180.3x2-0.66x+0.314 R2=0.257 y = -11414x2-122.7x+13.9 R2=0.314 y= -54.95x2+2.56x+0.31 R2=0.239 y= -0.0004x2 +0.01x-0.09 R2=0.244 CCRI-Linear y=0.173x+0.079 R2=0.501 y=5.42x+6.38 R2=0.272 y=0.182x+0.082 R2=0.405 y=0.031x+0.758 R2=0.189 CCRI-Polynomial y= -0.134x2+0.49x-0.097 R2=0.580 y= -7.09x2 +22.3x-2.89 R2=0.396 y= -0.364x2+0.976x-0.317 R2=0.526 y= -0.008x2 +0.239x-0.51 R2=0.417