摘要
为实现冬小麦不同生育时期叶片水分含量的快速监测,以冬小麦冠层高光谱数据和红外热成像数据为基础,计算得到5种光谱参数,通过对不同生育时期叶片相对含水量与光谱参数拟合状况进行分析和筛选,分别构建了基于光谱参数的叶片相对含水量反演模型,并对模型进行检验。结果表明,不同生育时期叶片相对含水量与比值指数(RVI)、归一化差值植被指数(NDVI)、比值/归一化植被指数(R/ND)、优化土壤调整植被指数(OSAVI)、冠气温差(TDc-a)均呈极显著相关(P<0.01);拔节期、抽穗期、开花期、灌浆前期和灌浆后期叶片相对含水量分别与NDVI、OSAVI、R/ND、TDc-a和TDc-a拟合效果较好,决定系数分别为0.842、0.884、0.831、0.864和0.945;预测模型的均方根误差分别为0.019、0.016、0.027、0.032和0.024,相对误差分别为2.16%、1.80%、3.30%、3.81%和3.53%。因此,在拔节期、抽穗期、开花期、灌浆前期和灌浆后期,可以分别利用NDVI、OSAVI、R/ND、TDc-a和TDc-a估测冬小麦叶片相对含水量。
In order to achieve rapid monitoring of leaf relative water content of winter wheat at different growth stages,this study was based on five kinds of hyperspectral indices,which were calculated by capony hyperspectral data and infrared thermal imaging data of winter wheat.Through the analysis and screening of fitting conditions between leaf relative water content and hyperspectral index at different growth stages,leaf relative water content monitoring models based on hyperspectral indices were obtained,which were validated further in our study.Results indicated that leaf relative water content was significantly related(P<0.01)to ratio vegetation index(RVI),normalized difference vegetation index(NDVI),ratio/normalized vegetation index(R/ND),optimized soil adjusted vegetation index(OSAVI)and capony-air temperature difference(T Dc-a)at different growth stages.Monitoring models based on NDVI,OSAVI,R/ND,T Dc-a and T Dc-a produced better estimation for leaf relative water content at jointing stage,heading stage,flowering stage,early filling period and late filling period,i.e.coefficients of determination(r 2)were 0.842,0.884,0.831,0.864 and 0.945,respectively.For prediction models,root mean square error were respectively 0.019,0.016,0.027,0.032,0.024 and mean relative error were 2.26%,1.80%,3.30%,3.81%,3.53%,respectively.Therefore,NDVI,OSAVI,R/ND,T Dc-a and T Dc-a vegetation indices were more likely to be used to monitor leaf relative water content at jointing stage,heading stage,flowering stage,early filling period and late filling period,respectively.This study can provide technical support to a certain extent for water monitoring of winter wheat at different growth stages in field.
作者
刘晓静
陈国庆
王良
陈玉洁
王兰
刘肖瑜
李学国
LIU Xiaojing;CHEN Guoqing;WANG Liang;CHEN Yujie;WANG Lan;LIU Xiaoyu;LI Xueguo(State Key Laboratory of Crop Biology/Shandong Key Laboratory of Crop Biology/Agronomy College,Shandong Agricultural University,Tai'an,Shandong 271018,China)
出处
《麦类作物学报》
CAS
CSCD
北大核心
2018年第7期854-862,共9页
Journal of Triticeae Crops
基金
山东省2014年度农业重大应用技术创新课题
山东省自主创新及成果转化专项(2014XGB01029)
国家自然科学基金项目(31101083
21471414)
关键词
高光谱遥感
红外热成像
冬小麦
植被指数
冠气温差
叶片相对含水量
Hyperspectral remote sensing
Thermal infrared imaging
Winter wheat
Vegetation index
Canopy-air temperature difference
Leaf relative water content
作者简介
第一作者:刘晓静,E-mail:753174696@qq.com;通讯作者:陈国庆(E-mail:gqchen@sdau.edu.cn)
