ESA Φ-lab Challenges is dedicated to organising cutting-edge artificial intelligence-based challenges in partnership with esteemed partners and sponsors. These challenges not only promote the growth and engagement of the Φ-lab Challenges community, but also provide a platform for researchers and coders to showcase their work and make a tangible impact in solving some of society’s most pressing challenges. By leveraging AI technology and utilising Earth observation data, we aim to extract valuable insights and information to drive positive change.
ESA Φ-lab Challenges is an initiative of the ESA Φ-lab implemented by a consortium of private companies and startups composed of Novaspace, Planetek Italia, Sinergise, GMATICS and EarthPulse.
A new open challenge
Explore nowWhat better way to kick off a new season than with a new challenge? The ESA Φ-lab is celebrating the launch of the new, openly accessible #PANGAEA benchmarking dataset and invites you to hone your skills. The twist? As a permanently open challenge we are giving you a head start to get acquinted with PANGAEA. Later in June we will be announcing the first #PANGAEA Data Sprint, a two-month Challenge task which will reward you with monetary and other prizes.
So sign up, get acquinted with PANGAEA now, and win big later.
A new season just started
New name, new season, new exciting challenges. ESA’s AI4EO is back, well kind of – with a new name and logo ESA Φ-lab Challenges is excited to reveal a new series of new challenges! Stay tuned, more information coming soon.
Revisiting and expanding on the #HYPERVIEW challenge!
With HYPERVIEW2, we’re challenging researchers, engineers, and data scientists to explore new ways of making AI interpretable and explainable for satellite data processing, space operations, and Earth monitoring.
#HYPERVIEW2
Join the challenge!Open challenges
PANGAEA
PANGAEA is a new evaluation and benchmarking protocol that covers a diverse set of datasets, tasks, resolutions, sensor modalities, and temporalities. This challenge is open-ended, giving participants the flexibility to explore, experiment, and iterate on their models over time. Alongside the open challenge, we’ll be launching regular Data Sprints – short, high-impact tasks that run for about two months each and focus on specific use cases within the PANGAEA dataset. These sprints will come with their own goals, deadlines, and prizes. […]
EASi Workshop // HYPERVIEW2
The new HYPERVIEW2 Challenge is implemented as part of the Explainable AI in Space (EASi) workshop, that KP Labs, ESA, and the Φ-Lab Challenges team are organising as part of the European Conference on Artificial Intelligence (ECAI), which is hosted in Bologna, Italy from 25th–30th October 2025. […]
Encouraging Interaction
ESA Φ-lab challenges
ESA Φ-lab Challenges, an initiative from Φ-lab of ESA’s Directorate of Earth Observation Programmes, strives to bring the worlds of AI and EO closer to encourage interaction and collaboration.
Artificial Intelligence
When large amounts of data is captured by remote sensing devices on EO satellites, our computers and AI algorithms can be used to help us solve problems. They can learn to recognise patterns and find correlations that humans would otherwise miss.
Earth observation
EO data allows us to gather global information about our planet Earth’s physical, chemical and biological systems via satellites carrying remote sensing devices.
Funded and initiated by
Implemented by
