半干旱区作物水分胁迫的高光谱观测试验与诊断

项目名称： 半干旱区作物水分胁迫的高光谱观测试验与诊断

项目编号： No.41201370

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 地理学

项目作者： 王小平

作者单位： 中国气象局兰州干旱气象研究所

项目金额： 25万元

中文摘要： 高光谱遥感技术在反演植被含水量和作物水分胁迫诊断方面具有独到优势。本项目在多年观测积累基础上，以旱作春小麦和玉米为主要研究对象，开展农作物水分胁迫遥感观测试验，获得不同水分胁迫下作物的高光谱反射率以及叶面积指数、叶绿素含量、叶片含水量等作物生理参数。采用植物生理学、光谱学等多学科方法，结合辐射传输模型，分析光谱反射率与植株含水率的关系，研究水分胁迫对半干旱区作物冠层光谱的影响规律，揭示半干旱区作物水分胁迫的高光谱变化机理，建立作物水分胁迫的光谱诊断指标与模型，同时利用高光谱影像对研究区作物水分胁迫进行监测和评估，为了解作物受旱程度提供基础依据，为提高半干旱区作物水分利用效率提供服务。

中文关键词： 高光谱；水分胁迫；春小麦；生理参数；光谱植被指数

英文摘要： Hypespectal imaging technique may improve the information compared traditional remote sensing,it has unique advantage in water content reversion and water stress diagnoses.This proposal will plan to carry out field experiment on crops water stress using hyperspectral remote sensing data for corn and spring wheat in semi-arid regions, base on years of measurements work. Field experiments studies how the crop water stress work on the canopy spectral reflectance,Which hyperspectral reflectance at canopy and leaf level, biochemical properties of crops such as LAI(leaf area index),chlorophyll content, leaf water content,etal will be measured, and the main methods is Plant physiology and spectroscopy combined Radiative transfer (RT) models.Based on experiments, this work will analyze the relationships between the hyperspectral reflectance and crops water content and water stress, study the rules of water stress in different levels impacted on the canopy spectral reflectance, indicate the spectral response mechanism of crops water stress in semi-arid regions and found the ideal spectral indices and models for water stress diagnosis. Finally,monitoring and estimating crops water stress status in study area using hyprespectral image in order to understand the crops drought degree in time and improving the water use effic

英文关键词： Hyperspectral；water stress；spring wheat；physiological parameter；spectral vegetation index