作物学报2011，Vol.37Issue(6)：1039-1048,10.DOI:10.3724/SP.J.1006.2011.01039
应用两种近地可见光成像传感器估测棉花冠层叶片氮素状况
Estimation of Canopy Leaf Nitrogen Status Using Imaging Spectrometer and Digital Camera in Cotton
摘要
Abstract
Leaf nitrogen content is an important index to evaluate and estimate crop growth status, yield and quality. Real-time and non-destructive measurement of nitrogen nutrition status of plants is useful for nitrogen fertilizer management in cotton (Gossypium hirsutum L) production. The objectives of this study were to determine the relationships of ground-based canopy spectral reflectance, spectral index and color parameters obtained by using common digital camera (Olympus C-5060) and imaging spectrometer (MSI200), with canopy leaf nitrogen content, and to develop regression models for estimating leaf nitrogen content in cotton. The results showed that canopy spectral reflectance decreased with increasing leaf nitrogen content, and the bands sensitive to leaf nitrogen content occurred the green and red regions mainly. Furthermore, the models to retrieve canopy leaf nitrogen contents using DI (R580, R680) and G-R were most feasible with the maximum determination coefficients (R2) and the minimum standard error (SE) for two visible sensors, respectively. Additional, b* (CIE 1976 L*a*b* color model) and H (HSI color model) were the optimum color parameters. On the whole, for the fitting effects, the spectral index was superior to color parameters for the same sensor, and MSI200 superior to digital camera. Then, the prediction performances of the spectral indices of digital camera were validated by using independent dataset. We found that difference indices DI (R580, R680) and G-R were the optimum indicators of canopy leaf nitrogen content with the highest predictive precision (0.8131 and 0.7636, respectively) and accuracy (1.0149 and 0.9661) and the lowest RMSE (2.3313 and 2.7406 mg g-1, approximately 6.52％ and 8.24％ of the mean).Hence, canopy spectral parameters in visible region may provide an effective and feasible means of estimating canopy leaf nitrogen contents quantitatively in cotton field.关键词
棉花冠层/叶片含氮量/成像光谱仪/数码相机/光谱指数/颜色参数Key words
Cotton canopy/ Leaf nitrogen content/ Imaging spectrometer/ Digital camera/ Spectral index/ Color parameter引用本文复制引用
王方永,王克如,李少昆,高世菊,肖春华,陈兵,陈江鲁,吕银亮,刁万英..应用两种近地可见光成像传感器估测棉花冠层叶片氮素状况[J].作物学报,2011,37(6):1039-1048,10.基金项目
本研究由国家自然科学基金项目(30860139)和国家高技术研究发展计划(863计划)项目(2006AA10Z207,2006AA10A302)资助. （30860139）
