【作者】 孙勇；

【导师】 范文义；

【作者基本信息】 东北林业大学 ， 林业硕士（专业学位）， 2017， 硕士

【摘要】 植被指数是提取遥感图像有效信息的重要技术手段,是反演生物化学、生物物理参数的重要媒介,是反映植被信息的重要技术指标。到目前为止,植被指数的种类已经高达100多种,在植被指数看似繁荣发展的背后也存在应用局限性大、没有系统的分类、彼此间重复折叠、运用的盲目性等缺陷。本研究选取大兴安岭地区为试验区,基于Landsat8 OLI影像数据,依据影响因子的不同重新分类了植被指数,探讨了植被指数受到太阳高度角、植被覆盖度、大气因子的影响。本研究主要内容如下:1)植被指数系统分类。依据影响因子的不同重新分类了常用植被指数。第一类是抗大气型植被指数,常见如ARVI、IAVI等;第二类是抗土壤型植被指数,常见如SAVI、TSAVI、MSAVI等;第三类是综合型植被指数。常见如NDVI、GEMI等;第四类是其他类,这一类包括高光谱植被指数以及一些未考虑影响因子的的植被指数,常见如三角植被指数、导数植被指数等。2)分析研究区域植被覆盖度、大气校正、太阳高度角对植被指数提取所产生的影响,以信噪比为评价指标,评价每一种因子对不同植被指数影响。得出结论:对大气校正而言,SAVI受到的影响较小,大气校正前后数值变化不大;对植被覆盖度而言,NDVI、RVI、ARVI变化较为明显,表示可以较好的反映出不同覆盖度下的植被信息,包含的有效信息明显;对太阳高度角而言,SAVI、RVI相关性较大,并且大气校正在一定程度减小了太阳高度角带来的影响。更多还原

【Abstract】 Vegetation index is an important technology to get effective information from remote sensing images,otherwise,it is an imperative method to calculate the parameters of biochemical and biophysical.So far,according to the incomplete satistics,vegetation index gave been growing to 140s,under the vigorous development,vegetation indexs have their own limitation of application and classification system.This study redefine the classification system and discuss the relationship between vegetation index and some parameters basic on Landsat8 OLI images.This study content is as follows:1)the classification of vegetation index system.This paper redefines classification system basic on the different influence factors.the firt is Atmospheric Resistance,such as ARVI,IAVI and so on;the second is Soil Resistancejust like SAVI,TSAVI,etc.the third is Comprehensive Resistance,such as NDVI,GEMI and so on;the fourth is Other,including DVI,PRIand so on.2)Relationship between vegetation index and vegetation coverage,atmospheric correction,observation angle sensors has been discussed in this study basic on Landsat8 images data through S/N evaluate method.analysis of the study area of vegetation coverage,atmospheric correction,observation Angle sensors on the impact of vegetation index extraction.After the research,this study gets a conclusion that for atmospheric correction,SAVI is less affected;For the vegetation coverage,NDVI,RVI,ARVI change is more apparent;For the Angle of the sun,SAVI impact is more obvious.更多还原