Effects of the starting channel for spectral reordering on the lossless compression of 3D ultraspectral sounder data

The unprecedented size of ultraspectral sounder data makes its compression a challenging task. Ultraspectral sounder data features strong correlations in disjoint spectral regions affected by the same type of absorbing gases. Previously, we proposed a reordering scheme to better explore these correlations of the ultraspectral sounder data. With this preprocessing scheme, the state-of-the-art compression algorithms such as CALIC, JPEG-LS and JPEG2000 significantly improve the compression ratios up to 15% on average. In this paper, we investigate the effects of different starting channels for spectral reordering on the lossless compression of 3D ultraspectral sounder data obtained from Atmospheric Infrared Sounder (AIRS) observations. It is shown that the compression ratios and reordering indices are dependent on the choice of the starting channel for reordering.