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This is the coding challenge for the operations group at LiveEO.
It will check your knowledge on basic file management as well as geospatial data handling.
Let's get started!

1. clone this repo to your machine
2. create a procedure that executes the following subtasks. You may use any language of your choice (.sh, .py, .js, .m, ... really any language/tool you want!)

• list all tifs contained in this repo by file size
• Move all tifs to the same folder called "all_tifs", get rid of the old folders
• the .tif filenames contain information about the band ( e.g. "...B08_10m...") Group all tifs in folders by band (you will have 4 subfolders in ./all_tifs)

3. Now let's analyze an arbitrary .tif

• create a conda env from the environment.yml and activate it
• check the raster's properties with 'gdalinfo' and export it as raster_meta.json
• what spatial reference system is the raster using?
• [optional] whats the raster's pixel resolution?

4. [optional] create a raster mosaic per band

Submit your zipped scripts raster_meta.json to [email protected]
Feel free to contact me anytime if you have questions and any issues.