Event Details

LIRA Invited Seminar - Professor Xiaoxiang Zhu (German Aerospace Center, DLR): Artificial Intelligence and Data Science in Earth Observation

Speaker: Professor Xiaoxiang Zhu

Title: Artificial Intelligence and Data Science in Earth Observation

Abstract: Geoinformation derived from Earth observation satellite data is indispensable for tackling grand societal challenges, such as urbanization, climate change and UN's SDGs. 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 new analytics methods. Here, methods of data science and artificial intelligence (AI), such as machine learning, become indispensable. This talk showcases how innovative and domain specific machine learning methods and big data analytics solutions can significantly improve the retrieval of large-scale geo-information from Earth observation data, and consequently lead to breakthroughs in the abovementioned challenges. In addition, open ML methodological challenges in EO will be discussed

Brief bio: Xiaoxiang Zhu is the Professor for Data Science in Earth Observation at the Technical University of Munich, a co-director of the TUM Munich Data Science Institute, the head of the department Earth Observation Data Science at German Aerospace Center, the co-spokeswoman of the Munich Data Science Research School (MUDS), and the head of the Helmholtz Artificial Intelligence (HAICU) - Research Field "Aeronautics, Space and Transport". Her research focuses on artificial intelligence and data science in Earth observation. She develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Her team aims at tackling societal grand challenges, e.g. Global Urbanization, UN’s SDGs and Climate Change, thus, works on solutions that can scale up for global applications

Join: Via MS Teams