北疆棉花叶绿素密度的高光谱估算研究

Estimation of Cotton Chlorophyll Density in North Xinjiang by Using High Spectral Data

利用非成像高光谱仪,对4水平种植密度下的2个北疆棉花品种在5个关键生育时期进行冠层光谱测定,分析棉花反射光谱及微分光谱生育期的变化规律,并对棉花冠层叶绿素密度(CH.D)与光谱数据进行回归分析,结果表明,近红外729 nm波段处一阶微分光谱数值与CH.D高度相关(r=0.937 2**,n=20),用此波段建立的CH.D估算模型,精度达84.3%,标准差为0.234 g/m2,RMSE=0.156 9。研究表明,可以用高光谱数据对新疆棉花冠层CH.D进行遥感估算。

The spectral determination of crown layer of 5 key growing stager of 2 cotton varieties from North Xinjiang, China was conducted under 4 level planting density, using non - image specttograph. Also the analysis on change law of reflective and differential speclral data characteristics at growing stage and regression analysis on the relationship between cotton chlorophyll density and spectral data were carried out. The result indicated that the differential spectral numerical value is highly positive with chlorophyll density （ r = 0. 937 2^ ＊ ＊, n = 20 ） in near- infrared 729 nm wave, the accuracy of estimation model of chlorophyll density established with the wave went up to 84.3%, the standard error was 0. 234 g/m^2, RMSE = 0. 156 9. The crown layer chlorophyll density of Xinjiang cotton can be estimated by high spectral data with remote sensing technology.