小麦氮素组分时空分布星地遥感监测机理与优化算法研究

项目名称： 小麦氮素组分时空分布星地遥感监测机理与优化算法研究

项目编号： No.41271415

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 天文学、地球科学

项目作者： 谭昌伟

作者单位： 扬州大学

项目金额： 75万元

中文摘要： 针对当前氮素获取中采用的常规分析或基于若干叶片的遥感监测不能代表冠层氮素水平这一亟待解决的实际问题和小麦生产需求。项目基于地面遥感数据、HJ-1A/1B和CBERS-02B影像数据，开展小麦氮素组分时空分布遥感监测理论和实验，融合农学知识探索氮素组分时空分布遥感监测机理与算法，建立较高精度的普适性氮素遥感监测模型，实现冠层氮素监测，为精准农业中星地遥感协同反演奠定理论基础，对提高小麦氮素利用率，合理施氮，提高产量、改善品质以及保护环境都有重要意义。研究内容包括：1）开展基于地面遥感的小麦氮素组分时空分布的监测机理研究，重点探索空间维上氮素组分垂直分布规律及其光谱响应和不同器官氮素与光谱参量间的定量关系；2）开展基于HJ-1A/1B和CBERS-02B影像的小麦氮素组分时空分布的监测机理研究；3）开展小麦氮素组分时空分布星地遥感监测优化算法与模型研究；4）开发及应用小麦氮素遥感监测系统。

中文关键词： 氮素；小麦；遥感；监测模型；

英文摘要： Nitrogen status obtained through the current method of routine analysis or the satellite remote sensing monitoring based on leaves nitrogen cannot represent the canopy nitrogen level. In order to solve the practical problem and meet wheat production requirement well. the theory and experiment of monitoring temporal and spatial distribution of wheat nitrogen components based on satellite and ground remote sensing data were carried out. The satellite data applied in the research were HJ-1A/1B and CBERS-02B images. Agronomy knowledge was integrated to explore the mechanism and algorithm of monitoring temporal and spatial distribution of wheat nitrogen components through the satellite and ground remote sensing data, establish universal models of monitoring nitrogen components with high precision based on remote sensing data, and realize the objective for monitoring canopy nitrogen status through remote sensing. This study can provide a theoretical basis for the cooperative retrieval by combining ground and satellite remote sensing data in precision agriculture, and has the vital significance for improving the utilization rate of wheat nitrogen fertilizer, promoting rational utilization of nitrogen fertilizer, increasing wheat productivity, improving wheat quality and protecting environment. The main research work i

英文关键词： nitrogen；wheat；remote sensing；monitoring model；