Telespazio has signed a contract with the ESA InCubed programme to develop an innovative service for improving access to Earth observation data. Derived from artificial intelligence (AI) models, I*STAR will allow new user groups to request customised, smart data acquisitions from satellite constellations simply, efficiently and promptly.
The community of Earth observation players is growing and diversifying, as is the number of missions and business models in the sector. Users need a simple solution that recommends intelligent acquisitions of satellite data, while national and international space agencies could benefit from a platform which enables them to promote their missions to those same users. All stakeholders are naturally keen to reduce operational costs.
I*STAR is being developed to address these needs by Telespazio, a joint venture between Leonardo (67%) and Thales (33%). The as-a-service solution will provide one-click access for organisations to acquire EO data. Using Deep Learning and Machine Learning algorithms, I*STAR can model user preferences with regard to satellite platforms, sensors, areas of interest and types of products, ensuring that even non-specialist customers can make specific requests from missions without the need for direct support from space operations. Through the automation of data acquisition processes, human intervention is reduced and resources are freed up, giving rise to tangible cost savings.
A further advantage of the service will be the ability to improve response times for disaster relief, allowing authorities and civil protection entities to react more efficiently and effectively.
Marco Brancati is Telespazio’s Head of Innovation and Technical governance: “I*STAR introduces a brand new solution in the Earth observation ground segment – the ability to request products or acquisitions according to user profiles while minimizing the need to know specific mission or to have operational skills. We’re very pleased and encouraged that the ESA InCubed programme has recognised our novel approach and given us the opportunity to bring I*STAR to market.”
“I*STAR is built on the idea that AI is a key enabler for new ways to exploit EO data,” commented Michele Castorina, Head of the Φ-lab Invest Office. “Improving usability and access for an ever-wider user community will help to invigorate commercial EO by providing a marketspace for both downstream and institutional operators.”
The I*STAR activity kicked off in April and is expected to hold its first major development review in October.
With its themes of emerging technologies and the competitive business sector in Earth observation (EO), this year’s Living Planet Symposium (LPS22) championed topics that are fundamental to the mission of ESA Φ-lab. Indeed both the Explore and Invest offices of Φ-lab made major contributions to the event in areas such as Artificial Intelligence for Earth observation (AI4EO), Virtual Reality (VR), New-Space missions and quantum and neuromorphic computing.
“ESA Φ-lab’s defining mantra of transformative innovation in Earth observation, from idea creation through to supporting leading-edge product and service development up to market adoption, has allowed us to play a significant role at the 2022 Living Planet Symposium. Through presentations, discussions and practical demonstrations, our researchers and business innovators have provided a comprehensive view of disruptive activities in EO in both the institutional and commercial sectors.” – Giuseppe Borghi, Head of Φ-lab.
As one of the largest Earth observation conferences in the world, ESA’s Living Planet Symposium is a critically important forum for understanding our environment and climate. The 2022 edition was held last week at the World Conference Center in Bonn, and one of its central topics dealt with Enabling the Earth Observation digital transformation using emerging technologies, AI and data analytics to create new opportunities across the entire sector.
ESA Φ-lab was well represented at the event with a very broad range of offerings, including two sessions dedicated to showcasing the wealth of activities covered by the ESA InCubed Programme. In one of the Agora interactive forums, an overview of InCubed was presented within the context of the EO commercial sector as a whole and the forthcoming ESA Ministerial Council (CMIN22). There were also examples of current initiatives and strategic partnerships that Φ-lab is either developing or has put in place to support innovation and investment, such as the recently announced free cloud services from partner OVHcloud. The second session gave a detailed view of several commercial EO satellite missions that are benefitting from InCubed co-funding.
A key area of innovation and cutting-edge research within Φ-lab is the future of computing for EO, and the subject featured in sessions chaired or co-chaired by Φ-lab researchers. In ‘AI@edge and Emerging Computing Paradigms for the Future of Earth Observation’, speakers presented research in a field which offers both significant computational opportunities and some daunting challenges. Andrzej Kucik was one of the session’s conveners: “With talks from both industry and academia, this session revealed the state of the art in deploying AI models at the ultimate edge – space. We also had a demonstration by IniVation of their neuromorphic event camera, which is inspired by biological retinas and has enormous potential for high-resolution, power-efficient sensing.” The discussion on neuromorphic algorithms continued in a subsequent Agora session co-hosted by Gabriele Meoni, where participants made some fascinating contributions on other technologies that are revolutionising information processing, including quantum, distributed and hybrid computing.
Attendees were particularly keen to see Φ-lab’s sensor-derived virtual reality simulations. Located in the ESA exhibition booth, the VR demonstration was run by the Explore Office and based around two research initiatives. In one experience, users explored a virtual 3D model of the Earth through the VR headset and were able to overlay and analyse various EO datasets as they swept across the surface of the planet.
A second headset was on hand displaying the first prototype of a digital twin of ESRIN (the ESA establishment that is home to Φ-lab). “Digital Twin ESRIN is a complete 3D reconstruction of our site, created from drone imagery in combination with in-situ data from vegetation health and air quality sensors,” explained Head of the Explore Office Pierre Philippe Mathieu. “This simulation aims to provide a live twin of a geographical area in order to enable real-time quantification of our environment and its evolution, all delivered within a high-impact VR experience.”
Φ-lab’s presence was also highly evident in a number of other gatherings at LPS22. Division head Giuseppe Borghi discussed transformative innovation at the Digital Copernicus session, promoting its role in generating a unique competitive advantage in the European EO ecosystem. Following on from her team’s UNESCO-award-winning research on dengue fever monitoring, Rochelle Schneider dos Santos was well placed to co-host the ‘Earth Observation for Health’ session, but also facilitated a forum for young scientists called ‘Meet the Next GenEO’. Nicolas Longépé helped organise three sessions on super-resolution methods and SAR data analytics, and many other Φ-researchers shared results and ideas in discussions and on poster boards throughout the week.
The plenaries of LPS22, including ‘Future EO’ and ‘New Space & EO (Commercial Markets)’, are all available for streaming here.