桂林理工大学学报2018，Vol.38Issue(4)：744-751,8.DOI:10.3969/j.issn.1674-9057.2018.04.017
锰胁迫青葙的高光谱变异特征与叶冠金属元素含量的关系模型
Relational model between the hyperspectral variability of Celosia argentea L. growing in manganese stress environment and the content of metal elements in the canopy
摘要
Abstract
Hyperspectral variation characteristics of high-manganese plant Celosia argentea L. in different periods of growth were observed by simulating the stress-growth environment of manganese at 15 levels of concentration. The concentrations of 33 main and trace elements such as manganese were finally determined. The spectral characteristics of 11 visible light bands (400 - 1 200 nm) were extracted,to make the partial regression analysis between the 13 selected heavy metal elements and their geochemical factors. Finally,the inversion model between characteristics and heavy metal content is established in leaf crown. The results show that the plant spectra shift in the red edge,blue and red valley,and the absorption depth produces regular changes along with the increase of manganese stress concentration. The spectral characteristic parameters,such as the green peak area,increase first and then decrease along with manganese stress concentration and growth cycle. A multivariable regression equation was built between the spectral characteristics parameters and the contents of metal elements. The complex correlation coefficients among metal elements in leaf crown are Mn,Cr,Co,Cu,Sr,Mo, Sn,Cs,Zr ,Hf,Ti,Th,U and geochemical indicators. The spectral characteristics parameters are greater than 0. 8,which shows a strong correlation. On this basis,The geochemical indices combination of F1 /F4 is established and can be used as an indicator for the enrichment of sedimentary manganese ores from the meso-level. The indirect model can provide convenience for making mineral predictions in hyperspectral remote sensing in high-vegetation-covered areas and performing ecological restoration assessments through remote sensing.关键词
青葙/锰胁迫/高光谱遥感/反演模型/金属元素/地化因子Key words
Celosia argentea L./manganese stress/hyperspectral remote sensing/inversion model/metal element/geochemical factors!分类
信息技术与安全科学引用本文复制引用
陈三明,涂媛,赵袁磊,刘智颖,徐嘉盛,韦龙,邵润泽..锰胁迫青葙的高光谱变异特征与叶冠金属元素含量的关系模型[J].桂林理工大学学报,2018,38(4):744-751,8.基金项目
国家自然科学基金项目(41372339) （41372339）
大陆构造与动力学国家重点实验室开放基金项目(K201402) （K201402）
