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4 不同光谱特征参数与全氮含量回归关系模型及验证

Table 4 Regression relationship model and verification of different spectral characteristic parameters 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
R1104	y = 63.88x-8.167	0.516	21.429	4.762
	y = -30.27x²+96.39-16.64	0.519	22.299	4.829
	y = 58.24x^1.296	0.513	20.898	4.766
	y = 7.555e^2.277^x	0.493	22.904	4.898
Dr1138	y = 64.73x-1.144	0.643	19.893	4.874
	y = -47.08x²+104.7x-9.162	0.648	20.625	4.945
	y = 63.68x^1.031	0.643	19.909	4.881
	y = 9.629e^2.313^x	0.615	23.265	5.010
Dr762	y = 157.8x-147	0.770	20.877	5.038
	y = -192.3x²+578.8x-377.1	0.772	21.518	5.137
	y = 13.96x^6.461	0.747	21.635	4.914
	y = 0.04302e^5.813^x	0.740	22.103	4.928