title: [The spectrum characteristics of an invasion plant: Eupatorium adenophorum Spreng].
abstract: Eupatorium adenophorum Spreng. (EAS) is a toxic invasion plant and has caused significant economic and environmental impacts in China. The EAS has the characteristics of widely distributing and quickly spreading. The traditional detecting and supervising methods become invalid when applied for managing the spatial distribution of EAS. Based on the analyzing results of the spectrum features of EAS, the present paper tried to structure the identifying models by remote sensing. The main objective of this paper is to develop an available method for detecting and mapping the spatial distribution of EAS. The study shows that the spectrum of EAS has two reflecting peaks and one absorbing trough. The corresponding wavelengths of those peaks are 560, 730 and 674 nm, respectively. The absorption characteristics of EAS at 647 nm are that the absorbing depth is 0.504 3-1.910 3, the absorbing width is 13.778 9-17.251 8 nm and the area at the left absorption band is greater than the right, and the corresponding area ratio of left to right is 1.771 9-2.444 1. The white flowers of EAS make the reflectance higher at visible bands, and the first-order derivatives of EAS spectral show a wave peak at 420 nm. Compared with the spectral feature of other representative materials, the absorbing characteristics at 647 nm, such as absorption width and absorption depth, and the peak at 420 nm of derivatives spectral are special features of EAS spectral, which can be used as remotely sensed parameters for detecting and mapping the EAS at florescence.
authors.affiliation: The Key Laboratory of Marine Hydrocarbon Resource and Geology, Qingdao 266071, China. chenjun820711@163.com
authors.forename: Jun
authors.initials: J
authors.lastname: Chen
authors.forename: Wen-ting
authors.initials: WT
authors.lastname: Quan
authors.forename: Guan-hua
authors.initials: GH
authors.lastname: Zhou
authors.forename: Zhen-he
authors.initials: ZH
authors.lastname: Wen
mesh_terms: D036603:Ageratina; D002681:China; D058865:Introduced Species; D058998:Remote Sensing Technology; D062206:Spatial Analysis; D013057:Spectrum Analysis