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Big Data Analytics for Earth Observation
Lead
Prof. Dr. Begüm Demir
Technische Universität Berlin
Einsteinufer 17,
10587
Berlin
Data Management and Machine Learning for Earth Observation
The mission of the Senior Research Group led by Prof. Dr. Begüm Demir is to develop innovative AI-driven solutions for diverse earth observation (EO) problems. With advances in satellite technology, EO data archives are continuously growing with high speed, delivering an unprecedented amount of data on the state of our planet over time. For example, via the Copernicus Programme – the European flagship satellite initiative in EO – Sentinel satellites acquire roughly 12 terabytes (TB) of satellite images per day, and the total size of the Copernicus data archives is almost 20 petabytes (PB). The “big EO data” is a great source of information that is relevant for several varying EO applications, as for example climate change analysis, urban area studies, forestry applications, risk and damage assessment, water quality assessment or crop monitoring. To address challenging problems in this field, the research activities of this group lie at the intersection of remote sensing, data management and machine learning.
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis
Unraveling boreal forest composition and drivers across scales in eastern Siberia
Multi-Modal Vision Transformers for Crop Mapping from Satellite Image Time Series
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LNDW 2024: BIFOLD KI-scavenger hunt inspires families
During the Long Night of Science, BIFOLD offered a digital scavenger hunt to present complex AI research topics for both young and old.
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Videos of the "ML& DM for Earth Observation" Workshop
The videos from the "Machine Learning and Data Management for Earth Observation" workshop are now accessible online. During the workshop leading experts discussed cutting-edge advancements in satellite technology, machine learning, and data management. Explore or review 12 compelling sessions.
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Smart Sky: Transforming Earth Observation through AI
Through three engaging lectures, scientists from NASA, the Planetarium Berlin, and BIFOLD explained the significance of satellite images and modern AI techniques.
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