The Remote Sensing Image Analysis (RSiM) group at the Faculty of EECS, TU Berlin and the Big Data Analytics for Earth Observation (BigEarth) group at BIFOLD are led by Prof. Begüm Demir. Our groups perform research in the field of processing and analysis of remote sensing images for Earth observation with interdisciplinary approaches associated to remote sensing, machine learning, signal & image processing and big data management.
GAIA 2025 will spotlight the transformative role of Foundation Models (FMs) in Earth Observation (EO), Geospatial Science, and broader Earth and Planetary Sciences. Prof. Demir is one of the organizers. For details, please click here.
At the BEODay 2025 - 40 Years of Belgian Earth Observation, Prof. Demir gave a keynote talk on "Recent Trends in AI for Earth Observation and Pathways Forward". For details about the event, please click here.
As a part of the ESA funded DA4DTE project, together with the National and Kapodistrian University of Athens and and e-GEOS, we developed AI powered digital assistant that allows users to access and explore complex EO data through a natural language interface. For details, please click here.
GAIA is a new dataset designed to overcome the limitations of existing vision-language models and datasets in the field of Earth observation. For details, please click here.
A new website that reflects years of research and development at RSiM in advancing learning based compression and compressed domain analysis in RS.
We organize the First Workshop on Foundation and Large Vision Models in Remote Sensing (MORSE) at the IEEE/CVF CVPR in collaboration with Prof. Prasad, Prof. Chanussot, Prof. Banerjee and Prof. Hong. For details, visit MORSE.
