Digital Twin Earth will help visualize, monitor, and forecast natural and human activity on the planet. The model will be able to monitor the health of the planet, perform simulations of Earths interconnected system with human behavior, and support the field of sustainable development, therefore, reinforcing Europes efforts for a better environment in order to respond to the urgent challenges and targets addressed by the Green Deal. Credit: ESA

ESAs 2020 -week event kicked off this morning with a series of stimulating speeches on Digital Twin Earth, updates on -sat-1, which was successfully launched into orbit earlier this month, and an exciting new initiative involving quantum computing.

The third edition of the -week event, which is entirely virtual, focuses on how Earth observation can contribute to the concept of Digital Twin Earth a dynamic, digital replica of our planet which accurately mimics Earths behavior. Constantly fed with Earth observation data, combined with in situ measurements and artificial intelligence, the Digital Twin Earth provides an accurate representation of the past, present, and future changes of our world.

Digital Twin Earth will help visualize, monitor, and forecast natural and human activity on the planet. The model will be able to monitor the health of the planet, perform simulations of Earths interconnected system with human behavior, and support the field of sustainable development, therefore, reinforcing Europes efforts for a better environment in order to respond to the urgent challenges and targets addressed by the Green Deal.

Todays session opened with inspiring statements from ESAs Director General, Jan Wrner, ESAs Director of Earth Observation Programmes, Josef Aschbacher, ECMWFS Director General, Florence Rabier, European Commissions Deputy Director General for Defence Industry and Space, Pierre Delsaux, as well as Director General of DG CONNECT at the European Commission, Roberto Viola.

The -week 2020 opened on 28 September with inspiring statements from ESAs Director General, Jan Wrner (left) and ESAs Director of Earth Observation Programmes, Josef Aschbacher. Credit: ESA

Pierre Delsaux commented, As our EU Commission President repeated recently during her State of the Union speech, its clear we need to address climate change. The Copernicus program offers us some of the best instruments, satellites, to give us a complete picture of our planets health. But space is not only a monitoring tool, it is also about applied solutions for our economy to make it more green and more digital.

Roberto Viola said, -week is the week for disruptive technology and it is communities like this that our European programmes were designed to support.

Florence Rabier added, Machine learning and artificial intelligence could improve the realism and efficiency of the Digital Twin Earth especially for extreme weather events and numerical forecast models.

Jan Wrner concluded, -week is the perfect example of the New Space approach focusing on disruptive innovation, artificial intelligence, agility and flexibility.

During the week, experts will come together to discuss the role of artificial intelligence for the Digital Twin Earth concept, its practical implementation, the infrastructure requirements needed to build the Digital Twin Earth, and present ideas on how industries and the science community can contribute.

Cloud mask from -sat-1. Credit: Cosine remote sensing B.V

Earlier this month, on 3 September, the first artificial intelligence (AI) technology carried onboard a European Earth observation mission, -sat-1, was launched from Europes spaceport in French Guiana. An enhancement of the Federated Satellite Systems mission (FSSCat), the pioneering artificial intelligence technology is the first experiment to improve the efficiency of sending vast quantities of data back to Earth.

Today, ESA, along with cosine remote sensing, are happy to reveal the first ever hardware-accelerated AI inference of Earth observation images on an in-orbit satellite performed by a Deep Convolutional Neural Network, developed by the University of Pisa.

-sat-1 has successfully enabled the pre-filtering of Earth observation data so that only relevant part of the image with usable information are downlinked to the ground, thereby improving bandwidth utilization and significantly reducing aggregated downlink costs.

Initial data downlinked from the satellite has shown that the AI-powered automatic cloud detection algorithm has correctly sorted hyperspectral Earth observation imagery from the satellites sensor into cloudy and non-cloudy pixels.

Lake Tharthar, Iraq. Credit: Cosine remote sensing B.V

Massimiliano Pastena, -sat-1 Technical Officer at ESA, commented, We have just entered the history of space.

Todays successful application of the Ubotica Artificial Intelligence technology, which is powered by the Intel Movidius Myriad 2 Vision Processing Unit, has demonstrated real on-board data processing autonomy.

Aubrey Dunne, Co-Founder and Vice President of Engineering at Ubotica Technologies, said, We are very excited to be a key part of what is to our knowledge the first ever demonstration of AI applied to Earth Observation data on a flying satellite. This is a watershed moment both for onboard processing of satellite data, and for the future of AI inference in orbital applications.

As the overall 2017 Copernicus Masters winner, FSSCat, was proposed by Spains Universitat Politcnica de Catalunya and developed by a consortium of European companies and institutes including Tyvak International.

Also mentioned in his opening speech this morning, Josef Aschbacher made a special announcement regarding an exciting new ESA initiative, the EOP AI-enhanced Quantum Initiative for EO QC4EO in collaboration with the European Organization for Nuclear Research (CERN).

Quantum computing has the potential to improve performance, decrease computational costs and solve previously intractable problems in Earth observation by exploiting quantum phenomena such as superposition, entanglement, and tunneling.

Quantum computing has the potential to improve performance, decrease computational costs and solve previously intractable problems in Earth observation by exploiting quantum phenomena such as superposition, entanglement and tunneling. Credit: IBM

The initiative involves creating a quantum capability which will have the ability to solve demanding Earth observation problems by using artificial intelligence to support programmes such as Digital Twin Earth and Copernicus. The initiative will be developed at the -lab an ESA laboratory at ESAs center for Earth observation in Italy, which embraces transformational innovation in Earth observation.

ESA and CERN enjoy a long-standing collaboration, centered on technological matters and fundamental physics. This collaboration will be extended to link to the CERN Quantum Technology Initiative, which was announced in June 2020 by the CERN Director General, Fabiola Gianotti.

Through this partnership, ESA and CERN will create new synergies, building on their common experience in big data, data mining and pattern recognition.

Giuseppe Borghi, Head of the -lab, said, Quantum computing together with AI are perhaps the most promising breakthrough to come along in computer technology. In the coming years, we will see more Earth or space science disciplines employing current or future quantum computing techniques to solve geoscience problems.

Josef Aschbacher added, ESA will exploit the broad range of specialized expertise available at ESA and we will place ourselves in a unique position and take a leading role in the development of quantum technologies in the Earth observation domain.

Alberto Di Meglio, Coordinator of the CERN Quantum Technology Initiative, said, Quantum technologies are a rapidly growing field of research and their applications have the potential to revolutionize the way we do science. Preparing for that paradigm change, by building knowledge and tools, is essential. This new collaboration on quantum technologies bears great promise.

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ESAs -Week: Digital Twin Earth, Quantum Computing and AI Take Center Stage - SciTechDaily