Zhu is a pioneer in bringing AI and data science together with earth observation for retrieving valuable geoinformation from satellite remote sensing and other data sources. Her big geodata analytics algorithms enable breakthroughs in geoscientific and environmental research. Her current endeavor is the fusion of petabytes of data from satellites and social media, fermented with data science algorithms, for tackling unprecedented, large-scale, influential challenges, such as climate change.

Tags: Artificial Intelligence, Citizen Science, Climate change, Digitalisation, Engineering, Environment & Nature, Future /green cities, Open Access, Space & the Universe

Xiaoxiang Zhu

Chair of Signal Processing in Earth Observation, Technical University of Munich

Xiaoxiang Zhu is the Professor for Signal Processing in Earth Observation at the TU Munich, heads the department EO Data Science at the German Aerospace Center, and is the Director of the Munich AI future Lab “AI4EO”. Her vision in research is AI and data science in Earth observation for tackling societal grand challenges, e.g., global urbanization, climate change and UN’s SDGs. To this end, she develops physical aware machine learning methods and big data analytics solutions to retrieve valuable and so far non-existing geoinformation from petabytes of data from satellite and social media.