title: [Analysis on urban vegetations reflectance characteristics in Shanghai].
abstract: The spectral features of ground objects are not only the brief contents of mechanism of remote sensing, but also the important basis in remote sensing application. As one of main components of terrestrial ecosystems, urban forest plays a key role in maintaining urban ecosystem balance. In the present paper, the authors adopted FieldSpec 3 portable spectroscope made by American ASD Company, and investigated or examined some spots in the Kangjian park of Shanghai, China. The spectra of euonymus japonicus L. cv, hypericum monogynum, sabina chinensis, ophiopogon japonicus, viburnum awabuki, and buxus sinica were measured. According to the actual conditions, the authors analyzed the data noise characteristic of the spectrum and got rid of the noise with Savitzky Golay method. Meanwhile, differential spectrum technology was used to remove the environmental background influence. Then the authors analyzed their features and variation of these spectral curves from the vegetation canopy and leaf level respectively. The research on spectral reflectance characteristics for urban vegetations is very significant. And the result of this research can be used for the study of physical chemistry performances of urban vegetation, remote sensing retrieval, vegetation classification, vegetation survey and environmental monitoring in urban area.
authors.affiliation: Department of Geography, College of Tourism, Shanghai Normal University, Shanghai 200234, China. linwenpeng@163.com
authors.forename: Wen-peng
authors.initials: WP
authors.lastname: Lin
authors.forename: Hou-zeng
authors.initials: HZ
authors.lastname: Li
authors.forename: Jing-feng
authors.initials: JF
authors.lastname: Huang
authors.forename: Dong-yan
authors.initials: DY
authors.lastname: Liu
authors.forename: Wei
authors.initials: W
authors.lastname: Zong
authors.forename: Xiao-meng
authors.initials: XM
authors.lastname: Hu
mesh_terms: D002681:China; D002947:Cities; D017753:Ecosystem; D004784:Environmental Monitoring; D018515:Plant Leaves; D013057:Spectrum Analysis