Active Challenges
- earthquakes
- disaster response
- buildings
- hyperspectral
- agriculture
- onboard processing
AI for Earthquake Response
Develop AI models that can automatically detect damaged vs. undamaged buildings by analysing high-resolution pre- and post-event satellite imagery.
€6,000
- earthquakes
- disaster response
- buildings
Recently launched
HYPERVIEW 2
#HYPERVIEW2
Build explainable AI models for soil parameter retrieval and further efficient image processing.
€18,500
- hyperspectral
- agriculture
- onboard processing
71 days to go
Educational Challenges
- hyperspectral
- sentinel 2
- agriculture
ESA Φ-lab Challenges
- benchmark
- sentinel 2
- urban
- building age
- mapillary
- mindView
- onboard processing
- Φsat-2
- multispectral
- agriculture
- air quality
PANGAEA
Track performance of Foundation Models on the PANGAEA benchmark.
0 points
- benchmark
Coming soon
MapYourCity
Automate building age detection and map your city's history
€5,000
- sentinel 2
- urban
- building age
- mapillary
- mindView
Challenge closed
OrbitalAI Φsat-2
Showcase your innovative solution for in-orbit data processing and run it onboard the Φsat-2 mission.
Fly your code with Φsat-2 mission
- onboard processing
- Φsat-2
- multispectral
Challenge closed
Enhanced Sentinel 2 Agriculture
Mapping cultivated land using Copernicus Sentinel imagery
70,000 points
- sentinel 2
- agriculture
Challenge closed
Air Quality & Health Challenge
Better analysis and forecast of PM2.5 aerosol and NO2 pollutants
70,000 points
- air quality
Challenge closed
Partner Challenges
- earthquakes
- disaster response
- buildings
- hyperspectral
- agriculture
- onboard processing
- Multispectral
- Food security
- Land management
- Disaster response
- Imputation
- iss
- sea ice
- sentinel 1
- sentinel 2
- agriculture
- planet
AI for Earthquake Response
Develop AI models that can automatically detect damaged vs. undamaged buildings by analysing high-resolution pre- and post-event satellite imagery.
€6,000
- earthquakes
- disaster response
- buildings
Recently launched
HYPERVIEW 2
#HYPERVIEW2
Build explainable AI models for soil parameter retrieval and further efficient image processing.
€18,500
- hyperspectral
- agriculture
- onboard processing
71 days to go
AIforEarthChallenge2024
Develop and apply a single foundation model to seven tasks using open satellite data.
$10,000
- Multispectral
- Food security
- Land management
- Disaster response
- Imputation
Challenge closed
OrbitalAI IMAGIN-e
Be a part of the next wave of innovation for in-orbit data processing and send your solution to the ISS.
Fly your code with IMAGIN-e mission
- hyperspectral
- onboard processing
- iss
Challenge closed
AutoICE
Create the next state-of-the-art for automated sea ice mapping from Sentinel-1 SAR data.
€3,000 cash + 13,500 points
- sea ice
- sentinel 1
Challenge closed
Seeing Beyond the Visible
#HYPERVIEW
Estimating soil parameters from hyperspectral images.
50,000 points
- hyperspectral
Challenge closed
AI4FoodSecurity (Germany)
Reusability of models for crop identification from one growing season to the next over Germany.
50,000 points
- sentinel 2
- sentinel 1
- agriculture
- planet
Challenge closed
AI4FoodSecurity (South Africa)
Within-season crop identification over South Africa.
50,000 points
- sentinel 2
- sentinel 1
- agriculture
- planet
Challenge closed
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ESA Φ-lab Challenges is carried out under a programme of, and funded by the European Space Agency (ESA).
Disclaimer: The views expressed on this site shall not be construed to reflect the official opinion of ESA.
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