ai4eo – ESA's AI Initiative | Earth Observation powered by AI

Challenge portfolio

EASi Workshop // HYPERVIEW2

[…]

MapYourCity Challenge

Your city holds secrets ready to be revelead. We invite you to be part of this story and join the #MapYourCity challenge. […]

OrbitalAI Challenge

“This exciting challenge aimed to explore the cutting-edge possibilities of in-orbit data processing and its potential to drive progress in earth sustainability, business, industry, and science. […]

An extraordinary challenge has been created to bring together Artificial Intelligence (AI) and Earth Observation (EO) players to address the challenge of “automated sea ice mapping” from Sentinel-1 SAR data. […]

Sentinel 2 Challenge

Agriculture plays a central role globally by providing food for humans and livestock or material for industrial processes. It is a driver of economic growth and will play an essential role in reducing the impact of climate change and greening our economies. […]

HYPERVIEW Challenge

Maintaining farm sustainability through improving the agricultural management practices by the usage of recent advances in Earth observation and artificial intelligence has become an important issue nowadays. It can not only help farmers face the challenge of producing food at an affordable price, but can also be crucial step toward the planet-friendly agriculture. […]

Food Security Challenge

Remote sensing is entering a new era of time-series analysis. Daily revisit times of satellites allow for near real-time monitoring of many areas across the globe. However, there has been little exploration of deep learning techniques to leverage this new temporal dimension at scale. […]

Read More… from Food Security Challenge

Air Quality & Health Challenge

The AI4EO Air Quality & Health challenge was a joint effort of the European Centre for Medium-Range Weather Forecasts (ECMWF) and the Copernicus Atmosphere Monitoring Service (CAMS). It focused on developing AI-powered solutions to facilitate the downscaling of analyses and forecasts of surface concentrations of particulate matter (PM2.5) and nitrogen dioxide (NO2). […]

Participate in the challenge

Host a challenge

Participate in the challenge

Host a challenge

AI4EO 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 AI4EO 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.

AI4EO is an initiative of ESA Φ-lab implemented by a consortium of private companies and startups composed of Novaspace, Planetek Italia, Sinergise, GMATICS and EarthPulse.

Now completed

Check it out

Thank you to all coders! We just concluded the #AIforEarthChallenge 2024. Clay challenged the AI4EO community to dive into landcover classification, aquacultural detection, and more during this exciting challenge. We will come back with the announcement of winners soon.

#MapYourCity – Now closed

The #MapYourCity Challenge just closed and has been a great success. Thanks to all the teams and participants for their great and hard work. We are currently evaluating the top contributions and will announce the winners shortly. Stay tuned 🙂

Encouraging Interaction

AI4EO Challenges

AI4EO 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.

Initiated by

Implemented by