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

被引：11

作者：

田静国 ^{[1
,2
]}

王树东 ^{[2
]}

张立福 ^{[2
]}

马超 ^{[1
]}

张霞 ^{[2
]}

机构：

[1] 河南理工大学测绘与国土信息工程学院

[2] 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

来源：

科学技术与工程 | 2016年 / 16卷 / 15期

关键词：

高光谱遥感; 叶绿素反演; 光谱指标; 敏感性; 植被指数;

D O I：

暂无

中图分类号：

S512.11 []; S127 [遥感技术在农业上的应用];

学科分类号：

0901 ; 082804 ;

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R2=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。

引用

页码：1 / 8

页数：8

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