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@ESA-PhiLab

ESA Φ-lab

ESA PhiLab Logo

🌍 TRANSFORMING EARTH OBSERVATION IN ACTIONS FOR THE HUMAN PROSPERITY 🌍

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🎯 Our Mission

ESA Φ-lab accelerates the future of Earth Observation (EO) through disruptive/transformational innovations and commercialisation actions. Our mission is to enhance the global competitiveness of the industrial and scientific sectors across ESA Member States.We are the innovation catalyst that transforms brilliant ideas into real-world solutions that benefit humanity! 🌟

🔬 How We Work

Our core strength lies in our ability toconnect people and ideas. We foster and generate transformative ideas, nurture and mature a select few, and evolve them into practical solutions or products that gain real-world traction.

🚀 Our 5-Step Innovation Process

StepPhaseDescription
1️⃣DISCOVER💡 Foster blue-sky transformative ideas
2️⃣NURTURE🌱 Nurture good ideas
3️⃣MATURE🔄 Evolve solutions through a fail-fast approach
4️⃣FUND💰 Financially support and develop solutions
5️⃣IMPACT🎯 Foster entrepreneurial initiatives & achieve innovation adoption

What sets ESA Φ-lab apart is our end-to-end management of the innovation cycle—from blue-sky thinking to tangible impact. We discover and deliver innovations that make a difference across commercial, scientific, and non-profit communities.

🔍 We Explore

🔬Innovation Areas📝Description
🤖AI4EOArtificial Intelligence for Earth Observation
🛰️Advanced EO TechNext-generation Earth Observation technologies
🌐QC4EOQuantum Computing for Earth Observation
📊Major TOMAI-powered embeddings & insights
🔥Emergency ResponseWildfire prediction & response systems
🏙️Smart CitiesUrban mapping & smart city solutions

💼 We Invest

InCubed Programme
Our aim is tofill the gap between your innovative idea and the market. Through ourInCubed programme, we provide:
  • 💰Financial Support
  • 🛠️Technical Assistance
  • 📈Business Development
  • 🚀Market Entry Support
  • 💡Risk-Capital Investment Access

🤝 Our People & Partnerships

Connecting people and ideas is at the very heart of what we do. We collaborate with:
  • 🎓Academia & Research Centers
  • 🏢Industry Partners
  • 🏛️National Space Centers
  • 💼Private Investors
  • 🌍Global Innovators

🤝 Key Partners Include:

  • BIFOLD Berlin
  • DFKI (German Research Center for AI)
  • ELLIS (European Lab for Learning & Intelligent Systems)
  • EPFL ECEO Lab
  • ETH Zurich
  • Altair
  • And many more innovative organizations worldwide!

📞 Get Involved

🚀 Opportunities

  • 💼Work with us - Join our innovation ecosystem
  • 💡Submit your ideas - Through our challenge programs
  • 🤝Partnership opportunities - Collaborate on cutting-edge projects
  • 📚Research collaboration - Academic and scientific partnerships

📚 Resources

  • 📖Publications - Latest research and findings
  • 🎯Challenges - Current innovation challenges
  • 📋Useful Documents - Guidelines and resources
  • 🎪Events - Upcoming conferences and workshops
  • 💼Business Opportunities - Doing business with Φ-lab

🌍 Transforming Earth Observation into Actions for Human Prosperity 🌟

Copyright 2024-2025 © European Space Agency. All Rights Reserved.

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  1. Major-TOMMajor-TOMPublic

    Expandable Datasets for Earth Observation

    Jupyter Notebook 197 14

  2. irisirisPublic

    Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

    JavaScript 152 44

  3. PyRawSPyRawSPublic

    Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which corresponds to a decompressed version of Level-0 data with addi…

    Jupyter Notebook 83 8

  4. phileo-benchphileo-benchPublic

    Forked from91097luke/phileo-bench

    Repo for testing foundation models

    Jupyter Notebook 53 4

  5. OpenSarToolkitOpenSarToolkitPublic

    High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.

    Python 230 58

  6. phidownphidownPublic

    Manage, search, and download Earth Observation data with Φ-down from Copernicus missions with ease and efficiency.

    Python 29 1

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