摘要
【目的】基于截形叶螨(Tetranychus truncates)危害的冠层高光谱反射率构建枣冠层水分含量估测模型。【方法】以枣(Ziziphus jujuba)冠层光谱反射率与含水量为基础,分析截形叶螨危害下枣冠层一阶微分光谱与含水量的相关关系,筛选枣冠层高光谱含水量的敏感波段,分别采用线性函数、二次函数、指数函数的回归模型,构建截形叶螨危害下枣冠层含水量的高光谱估算模型。【结果】枣冠层含水量随着光谱反射率降低而降低,与虫害等级呈显著负相关。利用冠层一阶微分光谱D1102、D974、D990组合波段建立的多元线性逐步回归模型的拟合度最好,R2达到0.618,RMSE和RE为3.428和3.900%。【结论】说明利用高光谱技术反演冠层含水量具有一定的可行性,在森林虫害监测方面具有重要的现实意义。
【Objective】Based on the canopy hyperspectral reflectivity caused by Tetranychus truncatus(Tetranychus truncates),the water content estimation model of jujube was built.【Method】Based on the spectral reflectivity and water content in Coronal layer of Jujube(Ziziphus jujuba),the correlation between the first order differential spectrum and water content of jujube crown was analyzed,and the sensitive band of hyperspectral water content of jujube crown was screened out.The hyperspectral estimation model of jujube crown water content was constructed by using linear function,quadratic function and exponential function regression model,respectively.【Result】The water content of jujube crown decreased with the decrease of spectral reflectivity,which was negatively correlated with pest grade.The multivariate linear stepwise regression model based on the first order differential spectra of D1102,D974 and D990 was the best,R2 was 0.618,RMSE and RE were 3.428 and 3.900%.【Conclusion】It is shown that it is feasible to use hyperspectral technique to invert leaf water content,and it is of great practical significance in forest pest monitoring.
作者
连玲
王振锡
高亚利
师玉霞
杨勇强
李盼
玉荪·吐孙江
LIAN Ling;WANG Zhen-xi;GAO Ya-li;SHI Yu-xia;YANG Yong-qiang;LI Pan;YUSUN・Tu-sun-jiang(Collage of Forestry and Horticulture,Xinjiang Agricultural University,Xinjiang Urumqi 830052,China;Key Laboratory of Forestry Ecology and Industrial Technology in Arid Area of Xinjiang Education Department,Xinjiang Urumqi 830052,China)
出处
《西南农业学报》
CSCD
北大核心
2020年第11期2524-2529,共6页
Southwest China Journal of Agricultural Sciences
基金
新疆高校科研计划项目(XJEDU2017M013)。
关键词
枣
冠层光谱
含水量
截形叶螨
反演模型
Jujube
Canopy spectrum
Moisture content
Tetranychus truncatus
Inversion model
