I want to know if there if there is a way of reducing the sentinel 2 data size. After radiometrically calibrating the dataset, it is 37 GB big making further processing very slow if not impossible. How can i compress the data without having to subset it using ENVI or SNAP?
Scientific data hub API provides the ability to download specific tiles of the scene.
I recently created a small utility package (RSUtils) to automate this process.
Training materials presented at https://www.youtube.com/channel/UC13LHwOnC2qkuEWCrPinInw.
Description training materials: https://github.com/IgorGarkusha/RSUtils/tree/master/tutorial.
It is available at https://github.com/IgorGarkusha/RSUtils/archive/master.zip.
The invocation chain of programs for processing of tiles:
s2_utm_tile_finder -> s2a_tile_downloader -> opj_decompress (from OpenJPEG package) -> s2_set_projection -> [optional: check_reflectance]