摘要
从多个角度研究夏玉米LAI与冠层反射光谱的相关性,探索不同光谱波段在夏玉米LAI预测中的优势互补。结果表明,可见光波段对品种差异较敏感,而近红外波段对品种差异敏感性不大;预测效果最好的LAI估算模型是由多个单波段建立的多元线性回归模型,其次是由近红外与绿光波段的比值R1050/R550建立的三次多项式回归模型,然后是由RVI建立的三次多项式回归模型。
The paper studied the correlation between leaf area index and canopy reflectance spectra of summer maize from multi-angle and explored the advantages of different spectral bands in forecasting the summer maize LAI. The results indicated that the visible band were more sensitive than near-infrared band to the variety differences, the most accurate estimation model of LAI is multivariate linear regression model based on multiple single-band, the next is cubic polynomial regression model based on R1050/R550, the third is cubic polynomial regression model based on RVI.
出处
《玉米科学》
CAS
CSCD
北大核心
2008年第6期86-89,共4页
Journal of Maize Sciences
关键词
夏玉米
冠层反射光谱
LAI
回归模型
Summer Maize
Canopy reflectance spectra
LAI
Regression model
