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satellite

raster image data retrieval and regression

Countries_WGS84/
Directory containing country shape files

Dataset4km/ (not available) Directory containing dataset downsample to 4km/pixel

Dataset20km/
Directory containing dataset downsample to 20km/pixel

requirement.txt Python runtime requirement

run20km_2.db SQLite database for processing status and results

sqlite_template.db SQLite database as an initial template

pixel20km.npy Numpy data, pixel owned by which country.

raster_filename.csv Filenames, URLs, from NOAA

satellite_0_get_all_file_links.py Pre 0: Get links. save to raster_filename.csv

satellite_1_download_all.py Pre 1: Download

satellite_A_4km_20km_preparation.py Run A: Downsample utilizing gdal.warp

satellite_B_countries_4km.py Run B1: Calculating pixel ownership for 4km data

satellite_B_countries_20km.py Run B2: Calculating pixel ownership for 20km data

satellite_C_process.py Run C: Processing (4km or 20km hard-coded)

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raster image data retrieval and regression

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