Remote Sensing Inversion of Water Quality of Xiaolangdi Reservoir Based on Sentinel-2 Multi-Spectral Images
Multi-spectral remote sensing technology can retrieve water quality parameters based on remote sensing band information,reduce monitoring costs,improve monitoring speed and quality,and provide a new way for large-scale water environment monitoring.Through analy-zing the correlation of Sentinel-2 multi-spectral images and measured water quality data of the Xiaolangdi Reservoir on the Yellow River,an inversion model of water quality parameters in the best spectral band was established,and the remote sensing inversion of chemical oxygen demand(COD),total phosphorus(TP),total nitrogen(TN)and ammonia nitrogen(NH3-N)of the Xiaolangdi Reservoir was carried out.The accuracy and stability of inversion models were verified and the spatial distribution of each water quality parameter was inverted.The re-sults show that among the four water quality parameter inversion models,the precision and stability of COD model is the highest,followed by TP,TN and the lowest is NH3-N,the COD concentration at the outlet and some edges of the reservoir is relatively higher and the concentra-tions of TN,TP and NH3-N in the center of the reservoir are higher than those at the edges.
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