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夏玉米叶片分层氮素营养的高光谱诊断
引用本文:金梁,胡克林,田明明,魏丹,李虹,白由路,张军政.夏玉米叶片分层氮素营养的高光谱诊断[J].光谱学与光谱分析,2013,33(4):1032-1037.
作者姓名:金梁  胡克林  田明明  魏丹  李虹  白由路  张军政
作者单位:1. 中国农业大学资源环境学院,北京 100193
2. 黑龙江省农业科学院土壤肥料与环境资源研究所,黑龙江 哈尔滨 150086
3. 中国农业科学院农业资源与农业区划研究所,北京 100081
4. 哈尔滨工业大学,黑龙江 哈尔滨 150001
基金项目:国家自然科学基金项目(40671110和41171245);黑龙江省自然科学基金项目(E201202)资助
摘    要:建立能够快速诊断作物氮素状况的光谱估算模型,对指导有效施肥具有现实意义。应用高光谱技术在夏玉米生育期研究了氮素在上下层叶片的分布规律及其氮素含量与植被指数的关系,并建立了叶片氮含量的估算模型。结果表明:夏玉米四个生育期(拔节期﹑大喇叭口期﹑抽雄期和灌浆期)上层叶氮含量均高于下层叶氮含量,抽雄期的下层叶片对氮素的缺乏反应敏感,生产上在抽雄期可以通过对下层叶片氮含量的监测来指导施肥。构建了三个时期(拔节、大喇叭口和抽雄期)各自最佳的估测叶片氮含量的模型。研究结果为作物氮素营养诊断及合理施肥提供了参考。

关 键 词:高光谱  营养诊断  绿色归一化植被指数(GNDVI)    
收稿时间:2012-09-05

Diagnosis of Nitrogen Content in Upper and Lower Corn Leaves Based on Hyperspectral Data
JIN Liang,HU Ke-lin,TIAN Ming-ming,WEI Dan,LI Hong,BAI You-lu,ZHANG Jun-zheng.Diagnosis of Nitrogen Content in Upper and Lower Corn Leaves Based on Hyperspectral Data[J].Spectroscopy and Spectral Analysis,2013,33(4):1032-1037.
Authors:JIN Liang  HU Ke-lin  TIAN Ming-ming  WEI Dan  LI Hong  BAI You-lu  ZHANG Jun-zheng
Institution:1. College of Resource and Environmental Sciences, China Agricultural University,Beijing 100193, China2. Institute of Soil Fertilizer and Environment Resources, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China3. Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081, China4. Harbin Institute of Technology,Harbin 150001, China
Abstract:Based on the spectral characters of corn leaf nitrogen content in the space,the spectral models for rapid estimating crop nitrogen content were set up, which is practically meaningful to effectively providing the guidance in fertilization. Spectral technology was applied to explore corn leaves nitrogen content distribution regularity and the relationship between the nitrogen content and plant index was analysed and then the estimation models were built. The results showed N content in upper leaves is higher than that in lower leaves in four growing stages; lower leaves at tassel emerge stage are sensitive to nitrogen losses,which could be used in guiding fertilization in grain production; optimum estimation models were built atjointing stage,the full-grown stage and tasseling stage, The research results provided the proof of crop nutrient analysis and rational fertilization.
Keywords:Spectral analysis  Nutrition diagnosis  GNDVI  
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