基于时空序列的小麦冠层氮素营养诊断及长势参数监测研究-植物营养学专业论文.docx

Abstract Research object：Nitrogen nutrition on crop yield and quality play an important role,but unreasonable application of nitrogen will result in waste of resources and ecological environment destruction. High quality wheat production is an urgent need for agricultural development in China, which N is the impact of wheat yield and quality. Run-time and accurate monitoring nitrogen nutrition of wheat in time and space changes lay better foundation for precision nitrogen management. Hyperspectral remote sensing technology in the field of water, fertilizer, nutrition and growth of monitoring crop showed strong predominance, and is the main mean to time quantitative monitoring of crop growth. At present, the use of high-spectral monitoring crop nitrogen status and growth have also carried out to determine sensitive spectrum band of nitrogen and construction of spectral model parameters. However, canopy spectra of various organs of wheat is mixed spectrum, leaf nitrogen content in different growth stages also shows a certain distribution in spatial structure. In order to study the relativity of canopy reflectance and N content and the growth parameters, selection of appropriate characteristic parameters and vegetation indices, the establishment of nitrogen Nutrition Diagnosis and growth monitoring model at different temporal and spatial variations, this article based on canopy nitrogen distribution characteristics in time and space. Finally we are raising the remote sensing estimation level to provide the basis for crop monitoring for better use of satellite imaging spectrometer data. Research method：On the level of different nitrogen treatment analying the relativity different varieties and canopy spectrometry by using statistical analysis method and differential spectral, we establish the appropriate regression model and carry out model and accuracy verification. Results：The results show that, under different nitrogen levels ,in the early-middle period the relati