This project is solving the Volcanoes, Icebergs, and Cats from Space challenge.

The project develops a simple, easy to use website that uses crowdsourcing to determine 'interesting' and beautiful images of the Earth. As of now, the images are solely from GIBS Imagery, but this can be easily expanded to include images from other webpages, and potentially include images that are not just space-related. Users can log onto the webpage via Facebook, tag pictures of randomly-generated locations as 'interesting', share images on their Facebook page, or skip any images they do not find interesting enough. This gears towards a list of pictures where every picture builds up a number of 'interesting' tags, allowing users to filter images to, for example, view trending images, or view the most 'interesting' images of all time. This will allow the public to become more involved with satellite imagery, and find fascinating phenomena on Earth. Future development includes giving users the ability to crop and rotate images, hence creating their own image that can be shared; introducing an awards system to reward user participation and early discovery on the website; and the possibility of developing a machine learning algorithm to surface images that are more likely to be deemed 'interesting'.

Project Information

License: Academic Free License 3.0 (AFL-3.0)

Source Code/Project URL:



  • Siddharth Swaroop
  • Matt Hollands
  • Dimitris Kousoulidis