应用高光谱植被指数反演冬小麦叶绿素含量的光谱指标敏感性研究

发布时间：2018-01-01 18:29

本文关键词：应用高光谱植被指数反演冬小麦叶绿素含量的光谱指标敏感性研究　出处：《科学技术与工程》2016年15期 　论文类型：期刊论文

【摘要】：高光谱植被指数反演叶绿素含量的精度除与模型有关外,光谱指标中心波长、波段宽度、信噪比等的差异也会带来一定的影响。研究基于实测光谱数据,结合波段模拟、噪音分析等方法,研究不同的光谱指标对植被指数反演叶绿素含量的影响,分析用于反演的光谱指标的敏感性,结果表明:1最佳中心波长的位置与适用于高低覆盖的植被指数类型有关,反演精度在一定范围内并不随着波段宽度的增加而提高;2不同植被指数抗噪声能力有一定的差异,其中DVI(difference vegetation index),NDVI(normalized difference vegetation index)等抗噪能力比较强,MCARI(modified chlorophyll absorption ratio index)和TCARI(transformed chlorophyll absorption ratio index)抗噪能力比较弱;3联合反演模型反演结果为R~2=0.741 5,RMSE=0.402 6,优于MTCI(MERIS terrestrial chlorophyll index)的反演结果,通过模拟HJ1A-HSI,Hyperion等数据,研究出联合反演模型在不同高光谱传感器下有一定的适用性。
[Abstract]:Hyperspectral Vegetation Index inversion of chlorophyll content in precision and model of spectral index, center wavelength, band width, different signal-to-noise ratio will bring about a certain impact. Research based on measured spectral data, combined with the band simulation, noise analysis, influence of spectral index of different vegetation index inversion of chlorophyll content the analysis for sensitivity, spectral index inversion results showed that: 1 the best wavelength position and vegetation index types used in high and low coverage, the inversion precision in a certain range with the increase of the width of the band is not increased; 2 different vegetation index anti noise ability have some differences, including DVI (difference vegetation index NDVI (normalized), difference vegetation index) and anti noise ability, MCARI (modified chlorophyll absorption ratio index (transformed) and TCARI Chlorophyll absorption ratio index) anti noise ability is weak; 3 joint inversion model inversion results for R~2=0.741 5, RMSE=0.402 6, MTCI (MERIS terrestrial chlorophyll better than index) inversion result through the simulation of HJ1A-HSI, Hyperion and other data, developed a joint inversion model has some applicability in different hyperspectral sensors.

【作者单位】：河南理工大学测绘与国土信息工程学院;中国科学院遥感与数字地球研究所高光谱遥感应用技术研究室;
【基金】：国家自然科学基金(41371359);国家自然科学基金(41501396)资助遥感科学国家重点实验室开放基金(OFSLRSS201508) 高分率对地观测系统重大专项
【分类号】：S512.11;S127
【正文快照】： 叶绿素是监测植被受胁迫和健康状况的重要参数[1,2]。高光谱指数法反演小麦叶绿素含量是目前应用最常用的方法之一[3—5]。应用高光谱指数法反演植被叶绿素的研究主要集中在如何克服土壤背景和避免植被指数饱和等方面,通过构建或优选指数,以达到有效应用的目的[6,7]。如在避免

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