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Big Data Analytics for Earth Observation


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.

© BIFOLD / Felix Noak
March 19, 2024

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.

January 11, 2024

Photo recap: BIFOLD New Year's reception

At its New Year's reception BIFOLD welcomed a series of distinguished guests and friends from Berlin's AI community.

December 03, 2023

New open research positions

Join BIFOLD and collaborate with renowned experts on cutting-edge Machine Learning and Data Management research! Develop robust, trustworthy, and sustainable AI solutions with our team of international scientists. 

Prof. Dr. Begüm Demir

Research Group Lead

Baris Büyüktas

Doctoral Researcher

Kai Norman Clasen

Kai Norman Clasen

Doctoral Researcher

Leonhard Hackel BIFOLD researcher

Leonard Hackel

Doctoral Researcher

Jakob Hackstein

Student Assistant

Lars Möllenbrok BIFOLD researcher

Lars Möllenbrok

Doctoral Researcher

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