Abstract: Based on the raw data of spaceborne dispersive and interferometry imaging spectrometer, a set of quality evaluation metrics for compressed hyperspectral data is initially established in this paper. These quality evaluation metrics, which consist of four aspects including compression statistical distortion, sensor performance evaluation, data application performance and image quality, are suited to the comprehensive and systematical analysis of the impact of lossy compression in spaceborne hyperspectral remote sensing data quality. Furthermore, the evaluation results would be helpful to the selection and optimization of satellite data compression scheme.