Abstract: In order to obtain the concentration of chlorophyll-a in Baihua Lake timely and quickly and develop operable water quality remote sensing monitoring technology, based on the HJ-1A satellite data and measured spectral data, the remote sensing inversion model of chlorophyll-a of Baihua lake was established. The results showed that: (1) the correlation between the first band and second band ratio (B2/B1) and measured chlorophyll-a spectral data was the best with a correlation of 0.84. (2) The regression model constructed by band ratio had a good inversion effect and the model determination coefficient was 0.87, with MAPE of 13%, and RMSE of 4.32mg/m3. In addition, the data of December was applied to verify the model and the ideal results were obtained, showing that the model is suitable for the inversion of chlorophyll-a concentration in Baihua in a certain time. (3) The concentration of chlorophyll-a close to the shoreline was higher than that of lake center, and gradually increased from north to south of the lake. (4) The spatial distribution of nutritional status index was mainly eutrophic, the eutrophic region accounted for 85% of the whole lake area, and the middle nutrition area accounted for 15%. The results of chlorophyll-a inversion and eutrophication evaluation coincided with the actual analysis, showing that HJ-1A CCD data can be used for remote sensing monitoring of water quality in Baihua Lake.