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NEO dataset

Preprocessing and loading scripts for NEO datasets: 1 week and 1 month variants. Go in either 1 week or 1 month directories.

Steps:

  1. Download raw data

    Use the ./download_raw_data.py -o raw_data script.

    1.1 For weekly data only. Use the preprocess_raw_1week_data.py raw_data -o raw_data_fixed script.

    • NDVI is only sampled at 16 days, we make an average of two consecutive samples to create an 8 day average.

    • We rename the data from YYYY-MM-DD to YYYY-MM-E (E=1,2,3,4 depending on which week bucket). This is needed because different sensors sample data at different weeks

  2. Convert from PNG to NPY files

  • Converts from raw PNG to [0:1] normalied, 540x1080 npy files, and adds NaNs to invalid regions in the NEO data.

./convert_png_to_npy.py raw_data -o npy_data [--resolution 540 1080]

  • If --resolution is not set, it will default to 540 x 1080.

  1. Run the neo_viewer and data analysis notebook

    • Set the path to neo_1week/npy_data or neo_1month/npy_data.

  2. Use in ML python scripts via the neo reader. You can also run it with the npy_data.