Europe once again has independent access to space. Europe will also benefit from this in the area of Earth observation.
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Fostering Collaboration in Earth Observation: Introducing the Domino Architecture
Domino-E contributes to the Domino architecture, creating a novel way of cooperation in European Earth observation. The Domino framework presents a groundbreaking approach to Earth observation (EO) by fostering a collaborative environment where industry and science work together throughout the entire development lifecycle, from initial concept to final validation of modular EO building blocks.…
Backcast: DOMINO-E at ESAW Conference 2024
We’re delighted to announce that the European Union-funded DOMINO-E project made a splash at the European Space Agency Week (ESAW) conference earlier this month! Following Gauthier Picard’s recent presentation at the 23rd International Conference on Autonomous Agents and Multiagent Systems in Auckland, New Zealand, this was the second opportunity this year to reach out to…
Domino-E at the 23rd International Conference on Autonomous Agents and Multiagent System
ONERA’s Gauthier Picard presented his work at the AAMAS’24 in Auckland, New Zealand. Agent-based and multi-agent systems (MAS) in space offer a promising approach for modeling and solving distributed, complex and dynamic problems. Sample applications include multiple spacecraft operations and maintenance, onboard-ground coordination, mission simulation, multi-mission operation, autonomous navigation, and collective robotics. The Domino-E project…
Observing Life on Earth from Space
Earth observation from space plays a crucial role in biodiversity conservation, and in future, this role might even increase. The stability of ecosystems around the world is under threat. The extinction of species and the loss of biodiversity is a global ecological challenge alongside climate change. Earth observation from space plays a crucial role in biodiversity…
Earth Observation of the future
The sky is the limit. Well, it’s not – and the space industry is the first to prove that statement wrong. But when it comes to Earth observation (EO), we have recently witnessed a boom that is pushing existing systems to their limits. More and more applications are being developed that require more accurate and…
Applying Earth Observation: Energy Poverty
The 3,5-year project EnergyMeasures is wrapping up in Brussels. The EU-funded project was launched to identify households affected by energy poverty, to develop strategies that would support them in adopting less energy-intensive behaviours, and to provide decision-makers of all levels with evidence-based policy recommendations to tackle energy poverty. As the project winds down, one of the key conclusions was to…
Along the river: the stream of Earth observation
Rivers are divided into upstream, midstream, and downstream. This tripartite division also helps to understand the earth observation processing chain. Rivers are traditionally divided into three sections along their course based on the gradient between their source and delta: upstream, midstream and downstream. This division is often used metaphorically to describe industrial value chains. The…
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.…
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…
