Introduction
There is an undeniable urgency to act on climate change and to effectively respond to the unprecedented ‘triple crisis’ of climate change, biodiversity loss and pollution. This requires a quantum leap in the way we observe, understand and predict the dynamic evolution of the Earth system and its complex interactions with human activities and ecosystems. Digital Twins have recently emerged as potential solutions to address these needs.
The European Commission (DG CONNECT) launched “Destination Earth” (DestinE) as a flagship initiative of the European Commission to develop a highly accurate digital model of the Earth (a digital twin of the Earth) to monitor and simulate natural phenomena, hazards and the related human activities. In addition, several other Digital Twin initiatives have been launched at international, European and national levels.
The ESA Digital Twin Earth (ESA DTE) programme aims at contributing to this process, with a major focus on ensuring that the latest EO satellite capabilities may play a major role in the design and implementation of future operational Digital Twin ecosystems including the future evolution of DestinE and other operational DT initiatives in Member States (MSs).
This event is a networking opportunity and an invitation to scientists, research institutions, policymakers, innovators, industry, ESA DTE activities, European and national DT initiatives and projects to share their experience and contribute to shape the future evolution of the use of EO in the context of Digital Twins in Europe.
Objectives
The overall objectives for this workshop are to:
- Present the latest ESA Digital Twin projects and activities.
- Share the latest research and scientific results in EO, AI, modelling and technology contributing to advance Digital Twin capabilities.
- Identify common priorities, standards and interoperability aspects across Digital Twin activities.
- Foster community building and trigger collaborative research across projects and initiatives.
- Assessing challenges and opportunity in the use of EO data for Digital Twins.
- Contribute to defining a community Science and R&D agenda to advance in the effective use of EO data in Digital Twins.