玉米冠层氮素养分垂直分布遥感监测研究

项目名称： 玉米冠层氮素养分垂直分布遥感监测研究

项目编号： No.41501468

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 天文学、地球科学

项目作者： 叶回春

作者单位： 中国科学院遥感与数字地球研究所

项目金额： 20万元

中文摘要： 玉米冠层氮素养分具有明显的垂向异质性，氮素缺乏时下部叶片首先表现出缺素症状，迫切需要玉米中下部叶片大面积早期快速监测方法。本项目拟通过田间小区试验和分层光谱探测，深入分析玉米冠层氮素养分垂直分布与冠层内光分布的关系，重点研究冠层氮素养分垂直分布的光谱响应机理以及从整体冠层光谱中提取分层光谱信息的方法，构建综合考虑冠层内光分布特征的玉米冠层氮素养分垂直分布光谱反演模型。具体研究内容包括：（1）阐明玉米冠层氮素养分垂直分布与光分布间的关系，建立定量描述冠层氮素养分垂直分布的农学模型；（2）探讨冠层氮素养分垂直分布的光谱响应机理及其与光分布间的关系，明确不同层次养分对整体冠层光谱响应的贡献及遥感可探测冠层深度；（3）将玉米冠层氮素垂直分布农学模型与遥感机理模型链接，构建玉米冠层氮素养分垂直分布光谱反演模型，并对其反演效果进行检验。为作物氮素精准管理、变量投入提供科学的理论方法和技术支撑。

中文关键词： 高光谱遥感；营养诊断；氮素；玉米；垂直分布

英文摘要： The maize usually has an obvious vertical distribution characteristic of canopy nitrogen. When it under a nitrogen stress, the lower canopy leaves often firstly show the corresponding nutritional deficiency symptom. Therefore, an early diagnostic methods of the middle and lower maize canopy nitrogen status is urgently needed. The goal of this project is how to build a nitrogen version model basing on canopy nitrogen vertical distribution characteristics by hyperspectral remote sensing, and finally to realize the rapid and accurate monitoring nitrogen nutrition status of maize. There are three research contents, including: (1) to clarify the relations between the nitrogen vertical distribution characteristics and the light distribution characteristics in maize canopy, and build mathematical model of maize canopy nitrogen vertical distribution. (2) to study spectral response characteristics of maize canopy nitrogen vertical distribution and their relationships with the light distribution characteristics, and to determine the spectral contributions of different vertical layers to the entire canopies and canopy detectable depth. (3) to build the nitrogen version model basing on canopy nitrogen vertical distribution characteristics by hyperspectral remote sensing and test its effectiveness. The study results can offer the theoretical and technological basis for crop precise and variable rate nitrogen management.

英文关键词： Hyperspectral remote sensing;nutrition diagnosis;nitrogen;maize;vertical distribution