黄浦江上游水域的多光谱遥感水质监测与反演模型

Multi-spectral Remote Sensing Based Water Quality Monitoring and Inversion Modeling in Upper Stream of Huangpu River

运用遥感、GPS定位技术对黄浦江上游淀山湖及支干流水环境质量中的水质污染进行了监测,探讨了以实际监测数据与遥感多光谱特征数据建立溶解氧和透明度两种水质参数的遥感反演数学模型。结果表明,利用遥感技术和数据能有效地监测水质污染状况与分布情况,是一种较为快速、可行的监测手段。

The water quality monitoring of Huangpu River upper stream is studied based on remote sensing and GPS technologies. The processing methods of multi-spectral remote sensing imagery are presented, and the inversion models of the typical water quality parameters Dissolved Oxengen and Secchi Disk are derived. The results show that remote sensing is a fast and feasible water quality monitoring method, and can detect effectively the temporal and spatial distribution of water quality.