基于遥感的玉米抗干旱胁迫监测模型的研究

项目名称： 基于遥感的玉米抗干旱胁迫监测模型的研究

项目编号： No.31460326

项目类型： 地区科学基金项目

立项/批准年度： 2015

项目学科： 食品科学、农学基础与作物学

项目作者： 肖春华

作者单位： 石河子大学

项目金额： 54万元

中文摘要： 通过在西北干旱灌溉玉米区，在设置玉米干旱胁迫试验基础上，调查大田受干旱胁迫典型玉米，研究适合于遥感监测的能够定量反映玉米干旱胁迫的农艺性状和生理指标，通过对多种干旱处理下玉米不同生长时期冠层分层解析及其与冠层反射光谱间的定量关系研究，建立玉米干旱胁迫遥感监测指标，分析新构建的干旱胁迫监测指标的农学意义及生物物理意义，应用统计学和数学方法建立遥感信息与玉米干旱胁迫信息间的数学模型，建立适用于非均匀冠层作物的干旱胁迫的快速监测方法，为在玉米上开展基于干旱监测指导下的合理灌溉和玉米品种高通量抗旱性鉴定与评价提供方法与理论依据。

中文关键词： 遥感；玉米；干旱胁迫；监测模型

英文摘要： The agronomic and physiological indicators quantified of maize drought stress levels which those are suitable for remote sensing monitoring were study on by the corn drought stress experiments in northwest arid area of China. The quantitative relationships between the LAI and biomass in different levels of canopy and reflection spectra of canopy were researched through a variety of drought treatment of corn at different growth periods, the maize drought stress remote sensing monitoring indicators were established, and their agricultural meaning and biological-physical meaning were analyzed. The mathematical model between remote sensing information and maize drought stress information were developed by using methods of statistical and mathematical The fast monitoring methods for crop drought stress were founded on non-uniform canopy, these methods can be used in guiding of reasonable irrigation based drought monitoring for maize and providing methods and theoretical basis for high-throughput drought resistance identification and evaluation for maize breeding.

英文关键词： remote sensing;maize;drought stress;monitoring model