Forum Munich Aerospace to Start at Ludwig Bölkow Campus

2019 10 31 Forum Munich Aerospace LBC ZHU
Professor Xiaoxiang Zhu opens this winter semester's lecture series "Forum Munich Aerospace" at the Ludwig Bölkow Campus

2 October 2019 - For the first time, the lecture series “Forum Munich Aerospace” takes place at the Ludwig Bölkow Campus in Ottobrunn/Taufkirchen. Professor Xiaoxiang Zhu is to open the series with a talk on “Artificial Intelligence and Data Science in Earth Observation” on October 31. Dr Michael Klimke, the Managing Director of Technical University of Munich’s recently opened Faculty for Aerospace and Geodesy, presents TUM’s visions for the Ludwig Bölkow Campus. The event is organised by Munich Aerospace and moderated by Executive Board Member Professor Klaus Drechsler.

The lecture is part of “Forum Munich Aerospace”, a joint lecture series by Technical University of Munich, Munich Aerospace, Deutsche Gesellschaft für Luft- und Raumfahrt and the Royal Aeronautical Society. Between 31 October 2019 and 6 February 2020, eight lectures are presented at the TUM site in Garching and at the Ludwig Bölkow Campus in Ottobrunn/Taufkirchen. The lecture of Professor Xiaoxiang Zhu is the first lecture to take place at the Ludwig Bölkow Campus. Within the framework of “Forum Munich Aerospace” two more lectures will be hosted at the Ludwig Bölkow Campus: Professor Klaus Schilling speaks about mini satellites on 12 December 2019 and a lecture on the MBB Lampyridae by Hannes Ross takes place on 16 January 2020.

Professor Xiaoxiang Zhu heads German Aerospace Center’s Remote Sensing Technology Institute and is Professor for Signal Processing in Earth Observation at the Technical University of Munich. She leads the Munich Aerospace Research Group on “Fusion of Remote Sensing and Social Media Data”. The research of Professor Zhu focuses on signal processing and data science in earth observation. She is granted with renowned awards, such as the Helmholtz Excellence Professorship (2018) or the Heinz Maier-Leibnitz Medal (2018).

Abstract: Geoinformation derived from Earth observation satellite data is indispensable for many scientific, governmental and planning tasks. Geoscience, atmospheric sciences, cartography, resource management, civil security, disaster relief, as well as planning and decision support are just a few examples. Furthermore, Earth observation has irreversibly arrived in the Big Data era, e.g. with ESA’s Sentinel satellites and with the blooming of NewSpace companies. This requires not only new technological approaches to manage and process large amounts of data, but also new analysis methods. Here, methods of data science and artificial intelligence (AI), such as machine learning, become indispensable.

In this talk, explorative signal processing and machine learning algorithms, such as compressive sensing and deep learning, will be shown to significantly improve information retrieval from remote sensing data, and consequently lead to breakthroughs in geoscientific and environmental research. In particular, by the fusion of petabytes of EO data from satellite to social media, fermented with tailored and sophisticated data science algorithms, it is now possible to tackle unprecedented, large-scale, influential challenges, such as the mapping of global urbanization — one of the most important megatrends of global changes.

Forum Munich Aerospace | 31 October 2019 | Ludwig Bölkow Campus | Place will be announced after registration at This email address is being protected from spambots. You need JavaScript enabled to view it.

The event is filmed professionally and will be published within the framework of the “Global Aerospace Campus” (www.global-aerospace-campus.org).

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