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当前位置: 首页 > 文章 > 冬小麦花期生理形态指标与卫星遥感光谱特征的相关性分析 麦类作物学报 2009,29 (1) 85-88
Position: Home > Articles > Correlation Relationship between Satellite Remote Sensing Spectral Information and Eco-physiology Indexes of Winter Wheat at Flowering Period Journal of Triticeae Crops 2009,29 (1) 85-88

冬小麦花期生理形态指标与卫星遥感光谱特征的相关性分析

作  者：
李卫国;王纪华;李存军;黄文江;王永华
单  位：
国家农业信息化工程技术研究中心;江苏省农业科学院资源与环境研究所;国家小麦工程技术研究中心
关键词：
冬小麦;花期;长势;生理形态指标;遥感信息
摘  要：
为提高冬小麦花期长势遥感监测的精确性与普适性,在集丘陵地、河滩地及平原地为一体的冬小麦种植区域设计了田间试验,利用卫星影像信息结合地面GPS定点试验数据,在分析利用遥感技术监测冬小麦花期LAI和生物量两个主要群体长势指标可行的基础上,对卫星遥感光谱信息与冬小麦花期的主要生理生化指标(叶片叶绿素含量、叶片类胡萝卜素含量、叶片水分含量和叶片氮素含量)进行了综合分析。结果表明,NDVI(归一化植被指数)与LAI、叶片氮素含量和叶片水分含量的相关性较好,RVI(比值植被指数)与生物量和叶片类胡萝卜素含量的相关性较好,GVI(绿度植被指数)与叶片叶绿素含量的相关性较好,且均达到显著水平。说明NDVI、RVI及GVI是较为理想的可用于监测冬小麦花期生理形态指标的敏感遥感指数。进一步以这些敏感遥感指数作为因变量建立了冬小麦花期生理形态指标的遥感监测模型。利用本模型可以反演多个生理形态指标,便于对冬小麦花期的长势情况进行综合分析与判断。
译  名：
Correlation Relationship between Satellite Remote Sensing Spectral Information and Eco-physiology Indexes of Winter Wheat at Flowering Period
作  者：
LI Wei-guo1,2,WANG Ji-hua2,LI Cun-jun2,HUANG Wen-jiang2,WANG Yong-hua3 (1.Institute of Resources and Environment,Jiangsu Academy of Agricultural Sciences,Nanjing,Jiangsu 210014,China;2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100089,China;3.National Engineering Research Center for Wheat,Zhengzhou,Henan 450002,China)
关键词：
Winter wheat;Flowering stage;Growth condition;Eco-physiology index;Remote sensing
摘  要：
Flowering stage is the most impressible stage to soil water and air temperature,in which winter wheat growth condition may greatly affect the formation of grain number and grain weight.To achieve the objective of high yield and good quality,some management measures need to be framed and adopted depending on timely winter wheat growth condition information monitored by remote sensing technology in flowering stage.The field experiments were carried out in Mengzhou county of Henan province,where there are many land types such as upland,bottomland and plain.Using satellite remote sensing images and the experiment data of different sites decided by GPS,this study analyzed the relationships between LAI,plant biomass weight(PBW,kg/ha) and remote sensing spectral information,confirmed the primary vegetation indexes DVI and RVI can be used to monitor dynamic change of LAI and PBW,respectively.In addition,the correlation between remote sensing spectral information and some eco-physiology indexes were analyzed such as leaf chlorophyll(LChC,mg/gFW),leaf carotenoids(LCaC,mg/gFW),leaf nitrogen(LNC,%) and leaf water content(LWC,%) of winter wheat in flowering stage.The results indicated that the correlations of NDVI,RVI and GVI to LAI,LNC and LWC,to PBW and LCaC,and to LChC were significant,respectively.NDVI,RVI and GVI were better vegetation indexes used monitoring the eco-physiology indexes of winter wheat on the flowering period.Based on these vegetation indexes,the monitoring models were established for those eco-physiology indexes as LChC = 3.711GVI + 2.686,LCaC = 0.0451RVI + 0.1215,LNC = 5.3263NDVI + 0.3811,LWC = 21.902NDVI + 62.278.Yet,more remote sensing experimental data in different environments are required for the model testing.

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