###	MODIS Images of Antarctic Ice Shelves

###	Data downloaded from https://doi.org/10.5067/W87VCY3CW0MJ on 2026-01-30
    Scambos, T., Bohlander, J., Wallin, B., Klinger, M., Fisher, M., Marowitz, R. & Hardman, M. A. (2022). Images of Antarctic Ice Shelves. (NSIDC-0102, Version 2). [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/W87VCY3CW0MJ

###	Processing steps:

### Processing steps:

    1.  Edit earthdata_credentials.txt with Earthdata username and password
        * Required to authenticate downloads from NSIDC

    2.  Run 02_download_images.py from cwd
        * Download TIFF imagery from NSIDC Antarctic Ice Shelf Image Archive
        * Retain imagery from 10–31 January and all February, with optional configurable overall start and end dates
        * Exclude filenames containing _therm (i.e. MODIS only)
        * File source imagery by ice shelf under imagery/<ice_shelf>/orig/

    3.  Run 03_process_tifs.py from cwd
        * Recursively process imagery from imagery/<ice_shelf>/orig/
        * Reproject to EPSG:3031 on an aligned 250 m grid (bilinear resampling), convert to Int16, set NoData to -9999
        * Build overviews and output COGs to imagery/<ice_shelf>/int16_3031/

    4.  Run 04_col_correct.py from cwd
        * Recursively apply adaptive percentile-based contrast stretching to imagery in imagery/<ice_shelf>/int16_3031/
        * Apply additional enhancement to low-dynamic-range images while avoiding extra brightening of already-bright scenes
        * Convert to Byte with NoData 0 and output COGs to imagery/<ice_shelf>/colcorrect/

    5.  EXTRA: Run 05_generate_mosaic_index.py from cwd
        * Generate an EPSG:3031 shapefile index of all imagery/<ice_shelf>/colcorrect/ TIFFs for use with GeoServer ImageMosaic
        * Record the relative image path, ice shelf name and acquisition year, and write the index to imagery/imagery.shp