Machine learning in Domino-E use cases

What exactly is machine learning (ML) and  how does Domino-E make use of it in planning, resource allocation and human-computer interactions? In what ways does it benefit users? In this article we focus on answering these and other questions regarding machine learning in Earth Observation.  Earth Observation (EO) produces a vast quantity of often unstructured data.…

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Data retrieval through satellites: How does it work?

Ever wondered how satellites gather data that we have at our fingertips at all times? If you’re looking something up on the internet, using online maps to go to your appointment or checking the weather then you have received information that has been provided and processed by satellites orbiting around our planet. But how do satellites gather this…

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Climate change tracking from space: From mono to multi-mission design 

Photo by ROMAN ODINTSOV: https://www.pexels.com/photo/aerial-shot-of-heaps-of-icy-snow-on-a-glacier-and-turquoise-melted-ice-6979890/

Earth observation satellites provide valuable information on greenhouse gas emissions, deforestation, melting glaciers, and other indicators of climate change. The move from mono- to multi-mission design allows better data access.

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DOMINO-E Kick off Workshop in Brussels

On Friday, 18.11.2022, all representatives of project partners in the Domino-E project funded by the European Commission within the framework of the HorizonEurope initiative met at the headquarters of the European Health and Digital Executive Agency (HaDEA) in the heart of the Brussels administrative centre for the kick-off workshop. The aim of the workshop led by Airbus…

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