利用Hyperion星载高光谱传感器监测太湖水质的研究  

MONITORING THE WATER QUALITY OF TAIHU LAKE BY USING HYPERION HYPERSPECTRAL DATA

作　　者：阎福礼[1] 王世新[1] 周艺[1] 肖青[1] 祝令亚[1] 王丽涛[1] 焦云清[1] 

机构地区：[1]中国科学院遥感应用研究所,北京100101

出　　处：《红外与毫米波学报》2006年第6期460-464,共5页Journal of Infrared and Millimeter Waves

基　　金：中国科学院知识创新项目(KZCX3-SW-334);国家自然科学基金(40671141)资助项目

摘　　要：通过分析Hyperion星载高光谱传感器的数据特征和水质参数监测精度,确定并详细讨论了波段比值、差值和NDVI算法与叶绿素、悬浮物浓度的相关性差异和敏感波段分布,建立并验证了水质参数高光谱遥感反演模型,初步评价了太湖水体富营养化状况.利用模拟环境小卫星的波段设置和反射率光谱,对比分析了Hyperion和环境小卫星高光谱监测太湖水质参数的反演精度,展示了星载高光谱监测内陆水体水质的应用潜力,有力地促进了我国环境小卫星高光谱数据在水体生态遥感监测中的预研工作.After analyzing the precision and accuracy that can be achieved in the estimation of water quality parameters, as well as the characteristics of Hyperion data, the sensitive bands of different wavelengths and the high correlation coefficients with chlorophyll and suspended sediments concentrations of different algorithms（ Ratio, Diffcrence and NDVI）were determined and discussed in details. A hyperspectral model on water quality was developed and validated, and the eutrophic state of Taihu lake and its causes were preliminarily discussed. The precision in estimating water quality parameters by using modeling hyperspectral datasets of Little Environmental Satellite （ Hj - 1 ） was discussed and compared with that of EO - 1/Hyperion. The result reveals the potential of the remote sensing applications of scheduled Hj - 1 satellite with hyperspectral sensor on water quality monitoring,

关 键 词：高光谱 水质监测 算法 相关性差异 富营养化 

分 类 号：X832[环境科学与工程—环境工程]