【摘要】 植被景观是我国校园生态环境建设与文化认知的重要组成部分,非成像地物光谱仪得到的植被光谱特征是植被景观分类的重要依据。以云南大学东陆园为例,采用野外光谱仪对针、阔、草三种典型绿色植被和不同颜色植被的反射光谱进行采集和处理,得到六种植被的反射光谱。通过分析三种绿色植被的反射光谱特征、一阶导数光谱和二阶导数光谱,建立了校园植被景观中针、阔、草的区分特征规律。研究结果表明:(1)特征值分别位于反射光谱的红光区(反射率从高到低依次为:草地、阔叶林、针叶林)、一阶导数光谱红边峰值(峰值从高到低次序与反射率相同)和二阶导数的四个特征波段(683nm—703nm(二阶导数>0)、724nm—755nm(二阶导数<0)、756nm—760nm(二阶导数>0)和760nm—765nm(二阶导数<0)),峰值从高到低分别对应草地、阔叶林、针叶林,且二阶导数区分性最好;(2)彩色植被由于花青素差异,红、黄、蓝青三种花在可见光波段对应颜色区域呈现较高的反射率,因此可见光区的反射特征可以用来区分不同色系的彩色植被。更多还原

【Abstract】 Vegetation landscape is an important part of campus ecological environment construction and cultural cognition.The vegetation spectral characteristics obtained from non-imaging features spectrometer are the important basis of vegetation landscape classification.Taking the East Land Park of Yunnan University as an example,the reflectance spectra of three typical green vegetation and different color vegetation were collected and processed by field spectrometer,and the reflection spectra of six vegetations were obtained.By analyzing the reflection spectral characteristics,first derivative spectra and second derivative spectra of three green vegetation,the distinguishing characteristics of needle,broad and grass were established.The results show that:(1)The eigenvalues are located in the red area of the reflectance spectrum(the reflectivity is from high to low,followed by grassland,broadleaf forest and coniferous forest).(683 nm-703 nm(second derivative>0),724 nm—755 nm(second derivative<0),756 nm—760 nm(second derivative> 0)and the second characteristic derivative of the second derivative 760 nm—765 nm(second derivative<0)),the peak from high to low,respectively,corresponding to grassland,broad-leaved forest,coniferous forest,and the second derivative of the best distinction;(2)color vegetation due to anthocyanin differences,,Yellow,blue and gree更多还原