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Acta Agron Sin ›› 2010, Vol. 36 ›› Issue (09): 1529-1537.doi: 10.3724/SP.J.1006.2010.01529

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Monitoring Canopy Leaf Nitrogen Concentration Based on Leaf Hyperspectral Indices in Rice

TIAN Yong-Chao,YANG Jie,YAO Xia,CAO Wei-Xing,ZHU Yan*   

  1. Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China
  • Received:2010-02-05 Revised:2010-04-20 Online:2010-09-12 Published:2010-07-12
  • Contact: ZHU Yan,E-mail: yanzhu@njau.edu.cn E-mail:yctian@njau.edu.cn

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Abstract: The objectives of this study were to analyze the relationships between canopy leaf nitrogen concentration (LNC) and leaf spectral reflectance characteristics of different leaf positions, and to establish useful method for nondestructive and quick assessment of canopy LNC in rice (Oryza sativa L.). Four field experiments were conducted with different N rates and rice cultivars across three growing seasons at different eco-sites, and time-course measurements were taken on leaf hyperspectral reflectance of 350–2 500 nm and LNC at different leaf positions over growth stages. Quantitative relationships and monitoring models of canopy LNC to leaf hyperspectral indices were established by extracting sensitive bands and developing proper spectral indices. The results indicated that the performance of leaf hyperspectral indices were different with varied leaf positions for monitoring canopy LNC, the best single leaf position was the second leaf from the top (L2), the third leaf from the top followed (L3), and the averaged spectra of L2 and L3 (L23) was the optimum leaf spectra combination which contributed to improving the sensitivity to canopy LNC. The simple ratio spectral indices (SR [Rλ1, Rλ2]) combined green reflectance around 560 nm and red-edge reflectance around 705 nm to near infrared region (NIR) could effectively estimate canopy LNC in rice. New green and red-edge narrow band SRs as SR (R780, R580) and SR (R780, R704) performed the best, with the coefficients of determination (R2) respectively as 0.887 and 0.884, and RMSE respectively as 0.216 and 0.235. When the widths of green, red-edge and NIR bands were expanded to 100, 20, and 10 nm respectively, the newly developed broad band SRs as SR [AR(750–850), AR(568–588)] and SR [AR(750–850), AR(699–709)] were also closely related to canopy LNC, with the coefficients of determination (R2) respectively as 0.886 and 0.883, and RMSE respectively as 0.218 and 0.237 at L23 level.

Key words: Rice(Oryza sativa L.), Leaf, Hyper-spectral ration index, Canopy leaf nitrogen concentration, Band width, Monitoring model

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