The NOAA/CREST compression group is developing robust, high performance algorithms to compress data from NOAA sensors. Our current focus is to demonstrate algorithms with high compression ratios and error robustness for imagers and sounders on the next generation GOES-R platform. Since these instruments are still in the design phase we are analyzing proxy data to build the algorithms and estimate their future performance with these instruments.

Project 1: Lossless Compression of Hyperspectral Data
For the GOES-R sounder, we use AIRS as proxy data. For the sounder, a high compression rate has been achieved and this year we have focused on making this algorithm robust to errors in transmission. We have adapted state of the art turbo code based error correction methods to secure the data much more robustly by taking into account the compression structure.