Sinergise, a software company from Slovenia, have created web services that allow anyone to download Sentinel-2 satellite images in their favourite GIS applications. Sentinel data is distributed as JPEG2000 files covering scenes of 100 by 100 km, totalling more than 100 million pixels. To ensure sustainability of the platform, Sentinel Hub was optimized for efficiency and processing is done on request. Sinergise’s use of the Kakadu SDK and Speed Pack proved to slice off 50% of the time required for decompression, significantly shortening the overall time for requests to be processed.
Researchers in the field of Astrophysics are increasingly faced with choices on what data to keep and what to throw away. One example of a data intensive project in theoretical astrophysics is GERLUMPH (GPU-Enabled High Resolution cosmological MicroLensing parameter survey, https://gerlumph.swin.edu.au). Using Kakadu’s KDU, researchers at the Centre for Astrophysics and Supercomputing (Swinburne University of Technology) developed KERLUMPH (https://supercomputing.swin.edu.au/projects/kerlumph/) which compresses GERLUMPH’s magnification maps into JPEG2000. The use of KDU accelerated their project by enabling them to step into the experimental phase with limited software development time.