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