河北农业大学学报2025，Vol.48Issue(4)：29-37,9.DOI:10.13320/j.cnki.jauh.2025.0051
水氮耦合效应下小麦叶片氮素营养指数的高光谱监测研究
Hyperspectral monitoring of nitrogen nutritional indices in wheat leaves under water-nitrogen coupling effect
摘要
Abstract
The wheat nitrogen nutrition index(NNI)is quickly and nondestructively obtained using hyperspectral remote sensing technology,which gives scientists a scientific foundation for diagnosing the nitrogen status of wheat leaves.The ground object hyperspectrometer was used to obtain the hyperspectral data during the main growth period of wheat in the water and nitrogen coupling experiment.Two-factor ANOVA and correlation analysis were adopted to screen the characteristics of the nitrogen vegetation indices in response to the water and nitrogen coupling.To lessen the water and nitrogen coupling effect,the partial least squares model was used to create the best monitoring model for the wheat nitrogen nutrition index.The findings demonstrated that NNI rose as nitrogen application increased,that water and nitrogen coupling had a significant impact on NNI(P<0.05),and that enhanced vegetation index(EVI)and optimized soil regulated vegetation index(OSAVI)that had a stronger correlation with NNI and were less impacted by water and nitrogen coupling.A nitrogen nutrition index monitoring model was created using the EVI and OSAVI fusion normalized water index(NDWI1640).It was demonstrated that the model had excellent stability and monitoring accuracy.The accuracy of the model was good with R2=0.83 and RMSE=0.05 during the jointing period and R2=0.74 and RMSE=0.05 during the flowering period.And the validation settings showed R2=0.88,RMSE=0.04 at jointing stage,and R2=0.81,RMSE=0.04 at flowering period.Therefore,the monitoring accuracy of wheat NNI can be improved and the confusing effect of water and nitrogen coupling on vegetation index can be effectively reduced by the nitrogen nutrition index monitoring model built by merging the water and nitrogen vegetation index.The findings can offer technical assistance for diagnosing wheat nitrogen excess and deficit using remote sensing and for deciding whether to fertilize the North China Plain.关键词
小麦/高光谱/NNI/水氮耦合/植被指数Key words
wheat/hyperspectral/NNI/water-nitrogen coupling/vegetation indices分类
农业科技引用本文复制引用
赵帅,杨晓楠,李莉威,张斯佳,杨杰,赵霡,由福英,何繁,王贵彦..水氮耦合效应下小麦叶片氮素营养指数的高光谱监测研究[J].河北农业大学学报,2025,48(4):29-37,9.基金项目
国家重点研发计划项目(2023YFD2301500). （2023YFD2301500）
