2022-2023
Team name: Parsec
School: Liceo Scientifico "Leonardo da Vinci", Gallarate (VA), IT
Mentor: Lucia Polidori
Members: Daniele Nicolia, Davide Pascu, Matteo Saporiti, Leonardo Simonetti, Federico Sozzi, Jad Taljabini
Astro Pi - Mission Space Lab is a competition organized by the European Space Agency and the Raspberry Pi Foundation that every year invites small groups of young students like us to design and program in Python a 3-hour-long experiment to run on a modified Raspberry Pi 4 aboard the International Space Station.
We chose to study the Earth's surface (Life on Earth): our experiment consists in taking images of the surface from the Astro Pi near infrared camera, calculating NDVI and NDWI (two normalised indexes that are commonly used in remote sensing to assess the health of plants and the levels of water and moisture respectively), estimating the area covered in vegetation and water by manipulating the images and using this data for a series of analyses, such as seeing if the vegetation health and water area are correlated and if it is possible to monitor the sea level rise or to predict the variation of some parameters that may be related to climate change.
We decided to split the result of our work into two parts inside two different directories, in order to make the repository less messy and its content easier to understand:
The final report is available here:
...as well as in the official ESA article: https://www.esa.int/Education/AstroPI/Astro_Pi_Mission_Space_Lab_2022_23_The_results