Earth Observation Early Digital Twin Components
- Air quality & health
AIR4health aims to pioneer the development of risk algorithms for human mortality and morbidity prediction, driven by Earth observation data.
- Mountain glaciers
Leveraging the latest in EO data, advanced modelling techniques, and AI, DTC Glaciers will assimilate heterogeneous information from in-situ observations and Earth Observation to produce a centralised product that transcends the capabilities of individual datasets.
- Energy Sector
EO4ER uses novel earth observation capabilities to anticipate the impact of variable power production by photovoltaic systems on the operation of low voltage networks, and assess risks for large PV systems due to extreme scenarios and long-term solar potential.
- Geo-Hazards
GET-IT is building a geohazard DTC based on EO data and will provide a holistic approach to a DTC system that includes the main geohazards; earthquakes and volcanoes.
- Urban areas & smart cities
SURE will explore how Earth Observation coupled with Digital Twin technologies can create digital replicas of urban environments and address the challenges posed by Urban Heat Islands and Urban Flooding.
- Arctic: land & ocean
SvalbardDT will utilise satellite Earth observation data and state-of-the-art physics-based and AI models to fully describe the cryosphere of Svalbard and associated waters in the 21st Century.