Purpose
The Technology Exploration Interest Group serves as a platform for sharing technical knowledge and lessons-learned on emerging and evolving technologies that support the use and distribution of space-based Earth observation data.
The primary goals of the Technology Exploration Interest Group are to:
- Foster collaboration among CEOS/WGISS members on current and future technology solutions;
- Investigate technologies that can enhance the Earth observation community be flexible and adaptable in their IT infrastructure;
- Help facilitate CEOS/WGISS understanding of all generations of technology and support the implementation of both legacy and cutting-edge technologies into Earth observation data systems;
- Promote the adoption of technologies in CEOS/WGISS that offer clear benefits to the Earth observation community.
Scope
Our group is currently engaged in the following cutting-edge technological explorations:
- Artificial Intelligence, Deep learning, Machine learning
- Big Data, HPC and Cloud Computing
- Digital Twins
Webinars
The Technology Exploration Interest Group have run a number of webinars on various topics. Information (including some recordings) from these webinars can be found here.
Artificial Intelligence and Machine Learning (AI/ML)
AI/ML is becoming an increasingly important topic globally, including within the realm of Earth observation. Due to the fast evolving nature of this topic, the team has decided to publish a ‘living white paper’ on GitHub, compiling CEOS Agency efforts on this topic, which will continue to evolve as the topic evolves. Contributions from across the EO community are welcome, and the repository can be found here: https://github.com/ceos-org/aiml-white-paper
If you would like to contribute but are not familiar with GitHub, please contact the leads below.
Digital Twins
TEIG is exploring the transformative role of Earth Observation (EO) in enabling and enhancing Digital Twin (DT) systems. Using the Alan Turing Institute’s framework, we examine DTs across three interconnected levels: individual assets or processes, systems of assets, and ecosystems. The activity assesses how EO data may enrich DTs with its rich spatiotemporal insights, supporting applications from single asset monitoring to complex, multi-scale ecosystems like cities or national infrastructures. The activity also highlights how key CEOS priorities such as interoperability, AI/ML integration, and federated systems can be encompassed within the umbrella concepts of DTs, positioning EO as an enabler for the next generation of interconnected digital twin ecosystems.
Contact Us
Please feel free to contact this Interest Group for more information:
Yousuke Ikehata – JAXA
Maral Bayaraa – UKSA