基于高光谱数据的滴灌甜菜叶片全氮含量估算

李宗飞,苏继霞,费聪,李阳阳,刘宁宁,戴宇祥,张开祥,王开勇,樊华,陈兵

Estimation of total nitrogen content in sugarbeet leaves under drip irrigation based on hyperspectral characteristic parameters and vegetation index

Zong-Fei LI,Ji-Xia SU,Cong FEI,Yang-Yang LI,Ning-Ning LIU,Yu-Xiang DAI,Kai-Xiang ZHANG,Kai-Yong WANG,Hua FAN,Bing CHEN

表5 不同植被指数与全氮含量回归关系模型及验证

Table 5 Regression model and verification of different vegetation indexes and total nitrogen content

高光谱特征参数 Characteristic parameter	拟合模型 Fitting model		验证模型 Performance model
高光谱特征参数 Characteristic parameter	拟合方程 Equation	R²	RE(%)	RMSE
SAVI	y = 114.7x-105.7	0.541	24.492	5.092
	y = 104.5x²-122.1x+28.18	0.544	23.153	4.926
	y = 12.39x^5.208	0.539	21.878	4.830
	y = 0.1489e^4.474^x	0.535	21.514	4.829
Dr1138-Dr762	y = 49.36x+0.4913	0.732	19.708	4.709
	y = -1.864x²+51.27x+0.04145	0.732	19.777	4.721
	y = 49.73x^0.9814	0.732	19.746	4.715
	y = 9.737e^1.842^x	0.714	20.934	4.656
Dr762-Dr496	y = 12.85x+5.673	0.794	23.008	5.372
	y = -2.828x²+21.68x-0.3212	0.804	22.996	5.608
	y = 18.64x^0.755	0.799	23.025	5.447
	y = 11.91e^0.4736^x	0.759	24.623	5.288