The hyperspectral imager(HSI) is loaded on the HJ-1A satellite, which is a new source of home-made data with high spectral resolution and provides new remote sensing data for water quality, especially for lake water quality monitoring.Because the processing method of HSI images is underdeveloped, the quality evaluation and research for HSI images are necessary before it is extensively used in water-quality remote sensing.Suitability of lake water quality monitoring in Lake Chaohu by HSI image is as-sessed via data verifying, signal-to-noise computing, stripes removing and atmospheric correcting.The results show that HSI data of waterbody is reliable between wave bands 530-900 nm.Both 6S and FLAASH algorithm works well in atmospheric correction of HSI data, and the best range is at the 530-830 nm.