Recap: Domino-E Webinar Session #2

Date: March 26, 2025Title: Developing within Domino: Examples from Domino-E Speakers: Philippe Pavero (ADS), Jakub Rezler (ITTI), Marie Devant (Capgemini), Cédric Pralet (ONERA), Cyrille de Lussy (ADS), and Raivis Skadins (Tilde) Host(s): Thomas Stollenwerk (Oikoplus), Michael Anranter (Oikoplus) In the second session of the Domino-E webinar series, we moved from theory to practice: three real…

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Recap: Domino-E Webinar Session #1

Date: March 19, 2025, 10:30-12:00 CETTitle: Understanding the Domino Architecture – A New Era of Earth Observation Speakers: Jean-François Vinuesa (ADS), Daniel Novak (ADS), Michael Anranter (Oikoplus)Hosts: Thomas Stollenwerk (Oikoplus), Michael Anranter (Oikoplus) The first session of the Domino-E webinar series commenced with a thorough exploration of the history, challenges, and innovations in Earth Observation…

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A Virtual Assistant Bridging Earth Observation and User Needs

Tilde’s Raivis Skadins discusses their work on virtual assistants and their role in bridging users with Earth observation technology through the Domino-E project. From enabling natural, smart conversations to simplifying complex satellite systems for non-experts, these assistants enhance user accessibility and empower human operators by automating routine tasks. The project’s development, challenges, and potential highlight how virtual assistants evolve alongside technology and user needs.

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Satellite Communication as Shared Resource: Jakub Rezler on DOMINO-E’s Approach to Space Resource Management

Jakub Rezler, a leader at ITTI, discusses the Satellite Communication and Resource Management Service (SCRMS) within the DOMINO-E project. SCRMS transforms satellite communication by treating satellite networks as shared resources, enabling collaboration among operators. This approach optimizes data transfer schedules, reduces costs, and improves operational efficiency. Rezler explains how SCRMS manages complex satellite communication logistics, including real-time adjustments and conflict resolution, making it a game-changer for satellite resource management.

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Optimizing the Skies: Gauthier Picard on Revolutionizing Satellite Image Acquisition with AI

Interview with Gauthier Piccard, a Senior Research Scientist at ONERA and Co-Head of the Artificial Intelligence Lab. Piccard leverages AI and optimization algorithms in the Domino-E project to improve satellite image acquisition. By automating satellite coordination, his work ensures efficient and rapid image capture across large areas. Using AI-driven approaches, Piccard tackles complex scheduling and decision-making challenges, helping satellites work together to deliver high-quality data for critical missions like environmental monitoring and disaster response.

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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…

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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…

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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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