SONG Ying-bo.Predicting Model of Soybean Leaf Nitrogen Content by Leaf Reflectance Spectra under Different Nitrogen Supply Levels[J].Soybean Science,2010,29(04):641-644.[doi:10.11861/j.issn.1000-9841.2010.04.0641]
不同施氮水平下大豆反射光谱预测叶片氮含量模型
- Title:
- Predicting Model of Soybean Leaf Nitrogen Content by Leaf Reflectance Spectra under Different Nitrogen Supply Levels
- 文章编号:
- 1000-9841(2010)04-0641-04
- 分类号:
- S565.1
- 文献标志码:
- A
- 摘要:
- 通过分析不同施氮水平下大豆叶片氮含量与叶片光谱反射率之间的关系,确立了大豆叶片氮含量的敏感波段及预测方程。结果表明:在 530、550、890和930 nm 4个波段的光谱反射率与大豆叶片氮含量的相关性达显著或极显著水平。通过4种植被指数的比较,NDVI的R2最大,RMSE最小。筛选得到回归方程:Y= -323.214×NDVI2 (890,530)+469.9307×NDVI (890,530)-165.021,该模型适用于不同生育期大豆叶片氮含量的预测。
- Abstract:
- Through analyzing the relationships of nitrogen concentration in soybean leaf under different nitrogen supply levels with spectral reflectance, the sensitive wave bands and prediction functions of soybean leaf nitrogen concentration were worked out. The results showed that there existed higher significant correlations between spectra reflectance of four sensitive wave bands (530,550, 890, and 930 nm)and the leaf nitrogen content of soybean. After compared with those four vegetation indices, R2 of the NDVI was the best and RMSE was the smallest. The corresponding prediction model established by vegetation indices of NDVI was Y=-323.214×NDVI2 (890,530)+469.9307×NDVI (890,530)-165.021,the model was suitable for estimation of leaf nitrogen concentration at different growth stages of soybean.
参考文献/References:
[1]Blackmer T M, Schepers J S. Techniques for monitoring crop nitrogen status in corn [J]. Communications in Soil Science and Plant Analysis, 1994, 25: 1791- 1800. [2]Blackmer T M, Schepers J S. Varvel G E, et al. Nitrogen deficiency detection using reflected shortwave radiation from irrigated corn canopies[J]. Agronomy Journal, 1996, 88: 1- 5. [3]薛利红, 曹卫星, 罗卫红,等. 基于冠层反射光谱的水稻群体叶片氮素状况监测[J]. 中国农业科学, 2003,36(7): 807- 812. (Xue L H, Cao W X ,Luo W H, et al. Diagnosis of nitrogen status in rice leaves with the canopy spectral reflectance [J]. Scientia Agricultura Sinica, 2003,36(7):807-812.) [4]刘占宇, 黄敬峰, 王福民,等. 估算水稻叶面积指数的调节型归一化植被指数[J]. 中国农业科学, 2008,41(10):3350-3356.(Liu Z J, Huang J F, Wang F M ,et al. Adjusted-normalized difference vegetation index for estimating leaf area index of rice [J].Scientia Agricultura Sinica, 2008,41(10):3350-3356.) [5]冯伟, 姚霞, 田永超, 等. 小麦籽粒蛋白质含量高光谱预测模型研究[J]. 作物学报, 2007, 33(12):1935-1942.(Feng W,Yao X,Tian Y C, et al. Predicting grain protein content with canopy hyperspectral remote sensing in wheat [J]. Acta Agronomica Sinica, 2007, 33(12):1935-1942.) [6]姚霞, 朱艳, 田永超,等. 小麦叶层氮含量估测的最佳高光谱参数研究[J] .中国农业科学, 2009,42(8):2716-2725.(Yao X ,Zhu Y, Tian Y C, et al. Research of the optimum hyperspectral vegetation indices on monitoring the nitrogen content in wheat leaves [J]. Scientia Agricultura Sinica , 2009 , 42 (8) : 2716 - 2725.) [7]宋开山,张柏,王宗明 ,等. 大豆叶绿素含量高光谱反演模型研究[J]. 农业工程学报, 2006, 22 (8): 16- 21. (Song K S,Zhang B,Wang Z M,et al. Inverse model for estimating soybean chlorophyll concentration using in-situ collected canopy hyperspectral data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2006, 22(8): 16-21.) [8]宋开山,张柏,王宗明,等. 基于人工神经网络的大豆叶面积高光谱反演研究[J]. 中国农业科学, 2006, 39(6):1138-1145.(Song K S, Zhang B, Wang Z M , et al. Soybean LAI estimation with in—situ collected hyperspectral data based on BP.neurai networks [J]. Scientia Agricultura Sinica, 2006,39(6):1138-1145.) [9]吴华兵,朱艳,田永超,等. 棉花冠层高光谱指数与叶片氮积累量的定量关系[J]. 作物学报, 2007, 33(3):518- 522. (Wu H B,Zhu Y ,Tian Y C, et al. Relationship between canopy hyperspectral index and leaf nitrogen accumulation in cotton[J]. Acta Agronomica Sinica,2007,33(3): 518- 522.) [10]薛利红, 曹卫星, 罗卫红, 等.小麦叶片氮素状况与光谱特性的相关性研究[J]. 植物生态学报, 2004, 28 (2):172-177.(Xue L H, Cao W X, Luo W H, et al. Correlation between leaf nitrogen status and canopy spectral characteristics in wheat[J]. Acta Phytoecologica Sinica, 2004, 28(2): 172-177.)
备注/Memo
基金项目:黑龙江省国际合作资助项目(WB08C07)。