Journal of Integrative Agriculture ›› 2012, Vol. 12 ›› Issue (12): 2001-2012.DOI: 10.1016/S1671-2927(00)8737

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Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice andWheat

 WANG Wei, YAO Xia, TIAN Yong-chao, LIU Xiao-jun, NI Jun, CAO Wei-xing , ZHU Yan   

  1. National Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R.China
  • 收稿日期:2011-11-24 出版日期:2012-12-01 发布日期:2012-12-18
  • 通讯作者: Correspondence ZHU Yan, Tel: +86-25-84396598, Fax: +86-25-84396672, E-mail: yanzhu@njau.edu.cn
  • 基金资助:

    This work was supported by the National High-Tech R&D Program of China (2011AA100703), the National Natural Science Foundation of China (30900868), the Natural Science Foundation of Jiangsu Province, China (BK2010453), the Academic Program Development of Jiangsu Higher Education Institutions, China (PAPD), and the Science and Technology Support Plan of Jiangsu Province, China (BE2011351).

Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice andWheat

 WANG Wei, YAO Xia, TIAN Yong-chao, LIU Xiao-jun, NI Jun, CAO Wei-xing , ZHU Yan   

  1. National Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R.China
  • Received:2011-11-24 Online:2012-12-01 Published:2012-12-18
  • Contact: Correspondence ZHU Yan, Tel: +86-25-84396598, Fax: +86-25-84396672, E-mail: yanzhu@njau.edu.cn
  • Supported by:

    This work was supported by the National High-Tech R&D Program of China (2011AA100703), the National Natural Science Foundation of China (30900868), the Natural Science Foundation of Jiangsu Province, China (BK2010453), the Academic Program Development of Jiangsu Higher Education Institutions, China (PAPD), and the Science and Technology Support Plan of Jiangsu Province, China (BE2011351).

摘要: Real-time monitoring of nitrogen status in rice and wheat plant is of significant importance for nitrogen diagnosis, fertilization recommendation, and productivity prediction. With 11 field experiments involving different cultivars, nitrogen rates, and water regimes, time-course measurements were taken of canopy hyperspectral reflectance between 350-2 500 nm and leaf nitrogen accumulation (LNA) in rice and wheat. A new spectral analysis method through the consideration of characteristics of canopy components and plant growth status varied with phenological growth stages was designed to explore the common central bands in rice and wheat. Comprehensive analyses were made on the quantitative relationships of LNA to soil adjusted vegetation index (SAVI) and ratio vegetation index (RVI) composed of any two bands between 350-2 500 nm in rice and wheat. The results showed that the ranges of indicative spectral reflectance were largely located in 770-913 and 729-742 nm in both rice and wheat. The optimum spectral vegetation index for estimating LNA was SAVI (R822,R738) during the early-mid period (from jointing to booting), and it was RVI (R822,R738) during the mid-late period (from heading to filling) with the common central bands of 822 and 738 nm in rice and wheat. Comparison of the present spectral vegetation indices with previously reported vegetation indices gave a satisfactory performance in estimating LNA. It is concluded that the spectral bands of 822 and 738 nm can be used as common reflectance indicators for monitoring leaf nitrogen accumulation in rice and wheat.

关键词: spectral band, vegetation index, leaf nitrogen accumulation (LNA), rice, wheat

Abstract: Real-time monitoring of nitrogen status in rice and wheat plant is of significant importance for nitrogen diagnosis, fertilization recommendation, and productivity prediction. With 11 field experiments involving different cultivars, nitrogen rates, and water regimes, time-course measurements were taken of canopy hyperspectral reflectance between 350-2 500 nm and leaf nitrogen accumulation (LNA) in rice and wheat. A new spectral analysis method through the consideration of characteristics of canopy components and plant growth status varied with phenological growth stages was designed to explore the common central bands in rice and wheat. Comprehensive analyses were made on the quantitative relationships of LNA to soil adjusted vegetation index (SAVI) and ratio vegetation index (RVI) composed of any two bands between 350-2 500 nm in rice and wheat. The results showed that the ranges of indicative spectral reflectance were largely located in 770-913 and 729-742 nm in both rice and wheat. The optimum spectral vegetation index for estimating LNA was SAVI (R822,R738) during the early-mid period (from jointing to booting), and it was RVI (R822,R738) during the mid-late period (from heading to filling) with the common central bands of 822 and 738 nm in rice and wheat. Comparison of the present spectral vegetation indices with previously reported vegetation indices gave a satisfactory performance in estimating LNA. It is concluded that the spectral bands of 822 and 738 nm can be used as common reflectance indicators for monitoring leaf nitrogen accumulation in rice and wheat.

Key words: spectral band, vegetation index, leaf nitrogen accumulation (LNA), rice, wheat