Digital Twin Earth, Quantum Computing and AI Tech Center Stage

Digital twin earth

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, simulate the Earth’s interconnected system with human behavior, and support the field of sustainable development, so Europe’s efforts for a better environment to respond to immediate challenges and goals To strengthen Addressed by Green Deal. Sincerely: ESA

ESA’s 2020 A-week program kicked off this morning with a series of provocative speeches on Digital Twin Earth, an update to 1-sat-1, which was successfully launched into orbit earlier this month, and features a Exciting new initiative included quantum computing.

Digital twin earth

The third edition of the 6-week event, which is completely virtual, focuses on how Earth observation can contribute to the concept of Digital Twin Earth – a dynamic, digital replica of our planet that accurately describes Earth’s behavior Imitates. Fed with continuous 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, simulate the Earth’s interconnected system with human behavior, and support the field of sustainable development, therefore, Europe’s efforts for a better environment to respond to immediate challenges and goals To strengthen Addressed by Green Deal.

Today’s session features inspirational statements from ESA Director General, Jane Warner, ESA Director of Earth Observation Programs, Joseph Sbacher, Director General of ECMWF, Florence Rabier, Deputy Director General of the European Commission for Defense Industry and Space, Pierre Delsax, as well as Director General Opened with. Director-General of the European Commission, Roberto Viola.

Fei week 2020

With-the-week 2020 opened on 28 September with inspiring statements from ESA Director General, Jan Warner (left) and Joseph Asbacher, ESA’s director of Earth observation programs. Sincerely: ESA

Pierre Delsacs commented, “As our EU Commission President reiterated recently during his state speech, it is clear that we need to address climate change. The Copernicus program allows us to take care of our planet’s health Satellite provides us with some of the best tools for photographing. But space is not only a monitoring tool, it is also about solutions applicable to our economy to make it more green and more digital. ”

Roberto Viola said, “For disruptive technology, it’s week of the week and it’s the kind of community that was designed to support our European programs.”

“Machine learning and artificial intelligence can improve the realism and efficiency of the digital twin Earth – particularly for extreme weather events and numerical forecasting models,” said Florence Rabier.

Jan Warner concludes, “Disruptive innovation is a true example of the new space approach, focusing on artificial intelligence, agility and flexibility.”

During the week, experts will come together to present the Digital Twin Earth concept, its practical implementation, the infrastructure requirements needed to build Digital Twin Earth, and ideas on how the industry and science communities can contribute.

Fei Sat 1 Cloud Mask

-Sat-1 to Cloud Mask. Credit: Cosin Remote Sensing BV


Earlier this month, on 3 September, the first artificial intelligence (AI) technology to be taken aboard a European Earth Observation Mission, the ɸ-sat-1, was launched from a spaceport in Europe to French Guiana. The growth of the Federated Satellite System Mission (FSCAT), the pioneering artificial intelligence technique, is the first experiment to improve the efficiency of sending vast amounts of data back to Earth.

Today, ESA is pleased to reveal the first hardware-accelerated AI injection of Earth observation images on an in-orbit satellite demonstrated by a Deep Contestantial Neural Network developed by the University of Pisa, with Cosin remote sensing.

so-sat-1 has successfully enabled pre-filtering of Earth observation data, so that only the relevant part of the image with usable information is grounded, thereby improving bandwidth usage and significantly reducing overall downlink costs .

Preliminary data downlinked from the satellite showed that the AI-powered automatic cloud detection algorithm correctly sorted the hyperspectral Earth Observation imagery from the satellite’s sensors into cloud and non-cloud pixels.

Lake Tharther Iraq

Tharther Lake, Iraq. Credit: Cosin Remote Sensing BV

Mesimiliano Pastena, at-sat-1 technical officer at ESA commented, “We have just entered the history of space.”

Today’s successful application of Ubotica Artificial Intelligence technology, powered by Intel Movidius Myriad 2 Vision Processing Unit, has demonstrated true on-board data processing autonomy.

Aubrey Dunne, co-founder and vice president of engineering at Eubotica Technologies, said, “We are very excited to have the first demonstration of AI applied to Earth observation data on a flight satellite become an important part of our knowledge. This is a watershed moment both for the onboard processing of satellite data and for the future of AI in orbital applications. ”

As the overall 2017 Copernicus Masters winner, FSSCat was proposed by Université Politecnica de Catalunya of Spain and developed by a consortium of European companies and institutions including Tyrvac International.

quantum computing

Also in his opening speech this morning, Joseph Sbuchbeer made a special announcement about an exciting new ESA initiative, “the EOP AI-enhanced quantum initiative for EO – QC4EO in cooperation with the European Organization for Nuclear Research”.CERN).

Quantum computing has the ability to solve problems already occurring in Earth observation, improve performance, and computational problems by exploiting quantum phenomena such as superposition, entanglement and tunneling.

AI Enhanced Quantum Computing

Quantum computing has the potential to improve performance, reducing previously unavoidable problems in Earth observation by taking advantage of quantum phenomena such as superposition, entanglement and tunneling. Sincerely: IBM

The initiative involves creating a quantum capability that will have the ability to solve Earth observation problems using artificial intelligence to support programs such as Digital Twin Earth and Copernicus. An initiative will be developed at the ESA Laboratory – Φ-Laboratory at the ESA’s Center for Earth Observation in Italy, which embraces transformational innovation in Earth observation.

ESA and CERN enjoy a long-term collaboration focused on technical matters and fundamental physics. The collaboration will be expanded to link to the CERN Quantum Technology Initiative, announced in June 2020 by CERN’s Director General, Fabiola Giotti.

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

Lab-Lab head Giuseppe Borreggi said, “Quantum computing with AI is probably the most successful breakthrough in computer technology coming together. In the coming years, we will see more Earth or space science disciplines employing current or future quantum computing techniques to solve geologic problems. ”

Joseph Esbuchber said, “ESA will exploit the broad range of specialized expertise available at ESA and we will position ourselves in a unique position and play a leading role in the development of quantum technologies in the Earth observation domain.”

Alberto Di Megalio, 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. Preparation of that paradigm shift by building knowledge and tools is necessary. This new collaboration on quantum technologies is quite promising. ”

Leave a Reply

Your email address will not be published.