1. 内蒙古农业大学生态环境学院，呼和浩特 内蒙古 010019 2. Chair of Plant Nutrition, Department of Plant Sciences, Technical University of Munich, Emil-Ramann-Str. 2, D-85350 Freising-Weihenstephan, Germany
Study on the Estimation of Nitrogen Content in Wheat and Maize Canopy Based on Band Optimization of Spectral Parameters
LI Dan1, LI Fei1*, HU Yun-cai2, Mistele Bodo2, Urs Schmidhalter2
1. College of Ecology and Environmental Science, Inner Mongolia Agricultural University, Huhhot 010019, China 2. Chair of Plant Nutrition, Department of Plant Sciences, Technical University of Munich, Emil-Ramann-Str. 2, D-85350 Freising-Weihenstephan, Germany
Abstract：Nitrogen fertilizer plays a crucial role in keeping food production in pace with population growth. However, the exceeding application of nitrogen fertilizer causes environmental risks. Timely and accurate quantification of canopy nitrogen content in crops is important for the rational application of nitrogen fertilizer and reduction environmental risks. The current research aimed to remotely estimate canopy nitrogen content in winter wheat and summer maize. Experiments with different N rates for different cultivars of wheat and maize were conducted in southeast Germany and in the North China Plain from 2008 to 2011. The results showed that, compared with traditional red light based spectral parameters, optimized spectral parameters significantly improved the prediction capacity, overcoming saturation problem in deriving canopy nitrogen content of wheat and maize. Band combination of optimized parameters varied with the difference in species and canopy structure of crops. The optimized bands concentrated on 730~760 and 760~800 nm. The best performing spectral parameter was Rλ766/Rλ738-1 for maize, Rλ796/Rλ760-1 for wheat and Rλ876/Rλ730-1 for wheat and maize combination. The validation results further confirmed that the optimized spectral parameters had the lowest predictive error, indicating that optimized spectral indices could estimate canopy nitrogen content of crops. In conclusion, the band optimization of spectral parameters is a promising approach to derive canopy N content in wheat and maize. The findings from this study may be useful for designing improved nitrogen diagnosis systems and for enhancing the applications of satellite-based sensors.
李 丹1，李 斐1*，胡云才2，Mistele Bodo2，Urs Schmidhalter2 . 基于光谱指数波段优化算法的小麦玉米冠层含氮量估测 [J]. 光谱学与光谱分析, 2016, 36(04): 1150-1157.
LI Dan1, LI Fei1*, HU Yun-cai2, Mistele Bodo2, Urs Schmidhalter2 . Study on the Estimation of Nitrogen Content in Wheat and Maize Canopy Based on Band Optimization of Spectral Parameters . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(04): 1150-1157.
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