The quality evaluation of remote sensing data is a bridge for development of sensor and data application.In this paper，we focused on the hyperspectral data acquired by China's self\|developed SPARK satellite launched in December 2016，and evaluated the radiation quality of SPARK 1A data using four objective indicators，namely radiation accuracy，signal\|to\|noise ratio(SNR)，information entropy and sharpness.According to the results of each indicator，variance and information entropy show that the main information of SPARK data is concentrated in 81~152 band(542~985 nm)，and the average entropy，signal\|to\|noise ratio and definition of this bands are higher than those of other bands，which are 6.28，47.63 dB and 179.5 respectively.The data quality of this spectral data is better than that of other bands，which is beneficial to the spectral identification and spatial feature extraction of different objects.The average SNR of 1~80 band(411~539 nm) was 38.23 dB，and the entropy was 5.28.Image enhancement can be used before processing for the low gray level and smaller gray range of the image in this bands.Because the 153~160 band(1 000~1 105 nm) was uncalibrated，its average SNR is less than 15 dB，and it has the lowest clarity，the spectrum and spatial information are seriously damaged，it is recommended to remove this bands.