The primary goal is to get an insight into the human impact on Earth, to drive and guide conservation efforts of this planet we call home. Our approach will be twofold:
You will be working with ESA to detect things like:
🔥 Wildfires and 🪵 Deforestation
🌊 Marine Litter and 🧊 Melting Glaciers
💨 Air quality detection & 🐾 Novel animal migration patterns
🔎 and much more!
To reach these goals we’ve partnered up with ESA, who are able to use our algorithms to monitor new satellite data and guide conservation efforts. They will provide us with multi-spectral data of their Sentinel-2 satellite pair and with invaluable knowledge and research on the domain of Earth Observation data in participant only masterclasses.
The challenge will run throughout September and October, where you will collaborate with a diverse team of over 30 international data specialists and domain experts in subteams, all tackling this problem from different angles. Subtasks like the detection of deforestation, wildfires, marine litter or any other human caused impact.
All contributors in the challenge are expected to spend 12 hours or more per week during the entirity of the two month challenge.
Some important dates:
The project is spearheaded by SUN whose goal is to increase the commercialization of space enabled solutions and growth of European start-ups and scale-ups in the space downstream and upstream sectors.
ESA will be the main stakeholder and domain knowledge provider in the challenge. Their efforts to aid human’s space endeavours as well as protect the planet we live on will serve us for many years to come.
MLReef provides an open source platform for collaborative Machine Learning. They provide the computational infrastructure to support the EO4Earth project as part of their AI4GOOD and Open Science initiatives.
As a partner in the SUN project, the innovation management and market research expert Brimatech helps out in the overall organisation of the challenge.