摘要
利用高光谱遥感这一先进技术手段对秋季干枯牧草生物量进行研究,在一定区域范围内,通过对30个样地地物高光谱的采集,从光谱反射率曲线中提取光谱吸收特征,这些特征主要由高光谱特征参数表示。D(红谷的吸收深度)、Sdinr/SDb(近红外平台一阶微分的总和(SDinr)与蓝边内一阶微分的总和(SDb))、(D-H)/(D+H)(红谷吸收深度(D)与绿峰反射峰高度(H)的归一化值)和草地生物量具有较高的相关性。而利用主成分分析方法,发现可见光波段主成分与干草生物量相关性最好,干草中叶绿素含量低,反射率较高,随着东西样地自东向西距离的增加,干草反射率随着变化,干草生物量逐渐减少。
In the paper, the use of this advanced hyper-spectral remote sensing techniques for autumn hay biomass research in a certain area, through the 30 plots feature high spectral acquisition, extraction of spectral reflectance curves from the spectral absorption characteristics, these characterized mainly by hyper-spectral characteristic parameter representation. D （ Red Valley absorption depth）, Sdinr/SDb （ the sum of first order differential near infrared platform （SDinr） the sum of first order differential inside the blue side （SDb））, （D- H）/（D ＋ H） （the normalized value of red valley absorption depth （D） and green peak reflection peak height （H）） and grassland biomass has a high correlation. The use of principal component analysis, the main ingredient found in visible light with the best correlation biomass hay, hay chlorophyll content is low, increase the reflectivity, with something like manner from increased hay reflectivity changes with the distance from east to west, hay biomass is gradually reduced.
出处
《阴山学刊（自然科学版）》
2014年第4期22-27,共6页
Yinshan Academic Journal(Natural Science Edition)
