Phi-Lab

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Case Study: SWARM data analysis for precursor assessmen...

SWARM analysis using a data-driven approach Machine Learning During a three month research sprint, an analysis of SWARM data was carried out to support existing activities which aim to identify possible earthquake precursors. To maintain an unbiased...

Case study: mapping global palm (oil) plantations

Palm oil is nowadays the most common vegetable oil used globally. As the demand grows, the expansion of palm oil plantations in the tropical regions will remain one of the main drivers of deforestation, having a considerable...

Case Study: Computer vision & food security issues

How images of cats and dogs can help solving food security issues? Current development in Artificial intelligence shows the strong ability of computers to learn information about our world. One of the most applicable methods artificial intelligence...

Phi-Lab GitHub

Phi-Lab is on GitHub! You can now access, host and review code – and join us on moving ideas forward. Phi-Lab is on GitHub to enable access and collaboration on working through Earth Observation-related challenge together.To access...

ESA’s Φ-week

  The European Space Agency (ESA) is organizing a Φ-week event focusing on EO Open Science  and FutureEO – to review the latest developments in Open Science trends and kick-start innovative activities of the recently created Φ-department looking at FutureEO, and its associated...

Artificial Inteligence for Earth Observation #AI4EO Whi...

Towards a European AI for Earth Observation Research & Innovation Agenda Over the last decade, rapid developments in digital technologies and in Earth Observation (EO) satellites have led to new and huge opportunities for science and businesses....

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Φ-lab – Accelerating the future of Earth Observation