Space Apps Challenge 2018

Processes and resources

1. Data downloaded from earthdata.nasa.gov using a Python script called "scraper".
2. Data converted from the HDFEOS file format into CSV files using the command line tools provided by The HDF Group run by a python script called "converter".
   1. We're using NumPy and Pandas to handle the arrays and write the data to csv files
3. CSV files were converted to images by another python script called "convert_to_image".
4. CSV files also scraped to get totals and averages of sea ice into a series of smaller CSV files that will be accessed by the site.
5. Images used to create videos using FFMV.
6. Website built with bootstrap, JavaScript and PHP.
7. Using the csv files as heightmaps and as indicators of stored ice, we are using chart.js and three.js to convert the backend data into graphs and 3d models respectively.