A study of inversion modeling of water quality parameters in the dianchi lake using CCD1 data of HJ-1A satellite

Monitoring of water quality using remote sensing data can better reflect the distribution and changes of regional water quality in space and time, and is particularly suitable for rapid monitoring of a wide range of waters. In this paper, we research quantitative remote sensing methods for two water quality parameters of suspended sediment and chlorophyll a in Dianchi Lake by using CCD1 data of HJ-1A satellites. The experimental results show that: band2, band3 and band4 correlate bestwith suspended sediment concentrations, which is the best band combinations is (b2+b3)/(b2/b3) in building the inversion model of suspended sediment concentrations. For chlorophyll a, band3 and band4 have the best correlation, which is the best band combinations is (b4-b3)/(b4+b3) in building the inversion model of chlorophyll a concentrations. Finally, based on fitting trend analysis for selected band combinations, we built inversion model of water quality parameters about the Dianchi Lake.