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.
We have recently released BigEarthNet v2.0 (also known as reBEN) that is a large-scale multi-modal remote sensing dataset made up of 549,488 pairs of Sentinel-1 and Sentinel-2 image patches. For details, please visit: bigearth.net.
There will be a public event 'Smart Sky: Transforming Earth Observation through AI' organized by BIFOLD and Zeiss-Großplanetarium on March 19th in conjunction with our workshop.
We organize a workshop that aims to explore the emerging methods, approaches and systems in the context of Data Management and Machine Learning for Earth Observation.
Date: March 18th & 19th, 2024.
The BIFOLD Graduate School offers 10 PhD positions, including a position on the topics of machine learning and data management for EO to join our team. For more information, please visit this link.
We presented 7 papers at IGARSS 2023 in Pasadena, California, USA. To read our IGARSS papers, please visit our publications page.
We have recently released HySpecNet-11k that is a large-scale hyperspectral benchmark dataset made up of 11,483 image patches acquired by EnMAP satellite. For details, please visit: hyspecnet.rsim.berlin.
