This image shows a section of a global 3D model of urban areas and was generated primarily using TanDEM-X Satellite data. To create this model for all cities in the world, sophisticated AI procedures are used.
This image shows a section of a global 3D model of urban areas and was generated primarily using TanDEM-X Satellite data. To create this model for all cities in the world, sophisticated AI procedures are used.
Image: Xiaoxiang Zhu, DLR/TUM
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German government awards 5 million Euros to support artificial intelligence researchTUM to lead AI Future Lab for Earth observation

The Technical University of Munich (TUM) has been successful in the competition “International Future Labs for Artificial Intelligence” of the German Federal Ministry of Education and Research (BMBF). The new Future Lab, AI4EO, is launching in May 2020 under TUM leadership and will be funded with up to 5 million Euros. In cooperation with the German Aerospace Center (DLR), among others, satellite data and Big Data analyses will be used to create models of global urbanization, food supplies and the management of natural disasters.

The purpose of the international Future Labs: bringing together top international scientists to tackle some of the biggest questions currently facing AI researchers. In March 2019, Germany’s Federal Ministry of Education and Research, the BMBF, launched its grant competition.

The BMBF has awarded grant funding to three winning projects across Germany, including the “Artificial Intelligence for Earth Observation: Reasoning, Uncertainties, Ethics and Beyond (AI4EO)” Lab. TUM will helm the project, with the German Aerospace Center (DLR) as a close research partner.

Enormous amounts of data require AI processes

What are the development trends in global urbanization, and how many humans worldwide are currently living in slums? Where are major environmental changes occurring? To answer these kinds of questions, researchers often utilize satellite data. With the amount of data being gathered by satellites having grown significantly in the meantime, researchers are now harnessing AI as the best way to process the data to derive the specific nuggets of information they need.

But using AI to process data doesn’t just allow researchers to pinpoint and document specific global phenomena – AI can also play a key role in unlocking entirely new discoveries and identifying previously unknown relationships and correlations in a sea of data.

For example, satellite observation of a certain geographical area over a longer time period could reveal developments or changes either resulting from or driving politics and policymaking.

The ethics of using innovative technology like AI

The Future Lab AI4EO is bringing together 27 researchers from 20 international organizations across nine countries to drive the development of AI earth observation technologies. “The goal of the Future Lab AI4EO is to consolidate Germany’s pole position in this field,” says Prof. Xiaoxiang Zhu, who is serving as the Lab’s director. To realize this goal, members of the research team will be taking a holistic and interdisciplinary approach – not only to develop new methods for earth observation, but to answer fundamental questions about the reliability and accuracy of AI technologies.

Technological advancements being made in the field of AI are also raising ethical questions, which will be another focal point of research for the Future Lab team. When information is available to the public, it could, for example, serve to prevent forest fires, improve the sustainability of cities or allow for the better management of slum areas. However, it will be important to balance the benefits of public data against potential abuse or misuse. As technology allows for ever-higher image resolution, ensuring the protection of individual data and privacy is also of paramount importance.

“In the new Future Lab, we can combine the strengths of TUM in earth observation, geodesy, satellite technology, space exploration, mathematics and ethics research and use the potential of artificial intelligence specifically for the benefit of mankind,” says TUM President Thomas F. Hofmann. “This is a great success of the synergetic bundling of competence by the new Department for Aerospace and Geodesy (LRG), which was founded as part of Bavaria’s High Tech Agenda. It is the heart of the Munich metropolitan region’s “Space Valley.”

More information:

  • Images for editorial use
  • Prof. Dr. Xiaoxiang Zhu is the director of the Future Lab AI4EO. She is a Professor of Signal Processing in Earth Observation in the Department of Aerospace and Geodesy at the Technical University of Munich, and also heads the Department of EO Data Science at the German Aerospace Center (DLR).
    The following TUM experts are serving as research partners in the Future Lab:
    Prof. Dr. Massimo Fornasier, Chair for Applied Numerical Analysis in the Department of Mathematics;
    Prof. Dr. Christoph Lütge, Munich Center for Technology in Society (MCTS), Institute for Ethics in Artificial Intelligence
    Prof. Dr. Richard Bamler, Professor of Remote Sensing Technology in the Department of Aerospace and director of The Remote Sensing Technology Institute at DLR
  • The BMBF grant comprises a total of up to 5 million Euros in funding over the course of three years for the Future Lab A14EO. The three future labs that have been chosen to receive the federal funding were selected by an independent jury from a total of 14 project proposal submissions. In total, more than 35 German and more than 70 international research organizations took part in the grant competition.

Corporate Communications Center

Technical University of Munich Stefanie Reiffert
stefanie.reiffert(at)tum.de
Tel: +49 (0)89 289 10519

Contacts to this article:

Prof. Dr. Xiaoxiang Zhu
Technical University of Munich
Department of Aerospace and Geodesy
Professor of Signal Processing in Earth Observation
Tel: +49 (0) 815 328 3531
xiaoxiang.zhu@tum.de

Article at tum.de

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