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…
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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…
Help satellite mission planners understand, what people say
Domino-E partner Tilde is working on a virtual assistant that allows users to request satellite images without knowing the technical jargon of Earth observation.
Climate change tracking from space: From mono to multi-mission design
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.
Watch our first Domino-E workshop online!
On 26 January we had our first Domino-E workshop – Your Access to Earth Observation with participation of external stakeholders. To introduce the project, some of our partners gave a comprehensive presentation of the project. The focus was on the vision of the project (Daniel Novak, Airbus S.A.S), the scientific challenges (Gauthier Picard, ONERA) and…