Φ-sat-2 Challenge of ESA – Call for Proposals

As part of its initiative to promote the development of radically innovative technologies such as Artificial Intelligence (AI) capabilities onboard Earth Observation (EO) missions, the European Space Agency (ESA) announces an opportunity for the EO community to...

OPEN VACANCY

Exciting post-doctoral opportunity @ ESA to do research on AI for satellite data Unique Research Fellow (Post-Doc) opportunity @ ESA on the development of innovative Earth Observation (EO) solutions based on Artificial Intelligence (AI) to advance understanding...

Workshop: Quantum for Earth Observation

Quantum Processing of Big Data: from Quantum Computing to Earth Observation   On 3 April 2019 a workshop was held at La Sapienza University in Rome, on the application of Quantum Computing for Earth Observation (with a...

A Machine Learning Glossary

Machine Learning glossary: some false friends in Earth Observation and Computer Vision Quick introduction If you are an expert in Earth Observation (EO) and you would like to apply the latest methodologies of Machine Learning like Deep...

Quantum Computing for EO workshop

The Quantum Computing for EO workshop will take place in April 3 in La Sapienza University in Rome. At this event representatives from the Quantum Computing community, from both academia and industry, met with Earth Observation practitioners.The...

Φ-lab Workshop on Sentinel-1 SAR data

Last week, ESA’s Φ-lab welcomed partners from the World Wildlife Fund (WWF) and the Food and Agriculture Organization of the United Nations (UN-FAO) for a collaborative workshop elaborating the potential use of Sentinel-1 SAR data for some...

Workshop: Machine Learning in Archaeology

An international conference and workshop on 7-8 November 2019 in Rome, Italy, organised by the European Space Agency (ESA) and the British School at Rome (BSR). Artificial Intelligence, Machine Learning and Deep Learning are opening new frontiers...

Φ-News: ML for Earth Observation Bootcamp

Φ-lab hosted an internal bootcamp on Machine Learning (ML) for Earth Observation during the first week of January, which provided the team with further hands-on experience on machine learning applicability to remote sensing using Matlab. The bootcamp...