【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.更多还原

【Abstract】 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,Difference 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.更多还原