Hackathon
In september of 2020 I, Mark, participated in a hackathon organized by Copernicus with 4 other team
members.
Despite no team member having any previous experiences with GIS systems or satellite programs, our
team (HydroPatrol) managed to score as the runner-up solution amongst all 50+ competing teams.
Our submission was part business model, part programming solution so we had team members working on the
both parts in parallel. We didn't manage to implement all that we had envisioned in the 3 day period
that we crunched the hackathon, yet we still got a solid satellite image processing pipeline going.
The idea was to use satellite images to monitor and visualize the presence of chlorophyll-a, present in
algae in waterbodies of Sweden. Providing usefull information for combating harmful algae blooms (HABs).
This repo contains some of the code that we developed for the hackathon, showcasing the satellite image processing pipeline along with some sample images in a python jupyter notebook.
LinkedIn postHere's a LinkedIn post one of the team members produced after the hackathon
OrganizersLink to the organizers of the hackathon's webpage, and a big thanks for helping participants getting started working with satellite data.
Data accessAccess to the satellite data and virtual machines to run our code on was provided by ONDA
