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Big Data Analytics for Earth Observation

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Lead
Prof. Dr. Begüm Demir

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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 terabyte (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.

Leonard Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir

LIT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing

June 02 , 2023
https://arxiv.org/abs/2306.00758

Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Sašo Džeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider

Artificial intelligence to advance Earth observation: a perspective

May 15 , 2023
https://arxiv.org/abs/2305.08413

News
October 18, 2023

Research from the very top

BIFOLD scientist Prof. Dr. Begüm Demir explains the benefits of using Explainable Artificial Intelligence (XAI) to enhance earth observation satellite data analysis in the Tagesspiegel TU Berlin supplement.

News
C: BIFOLD/Michael Setzpfandt
October 11, 2023

Photo recap: All Hands Meeting 2023

On October 9 and 10, 2023, BIFOLD welcomed the other Geman AI centers (ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, MCML, and the DFKI) in Berlin. The annual meeting featured guests, partners, visitors, and researchers from all over Germany. 

News
C: BIFOLD/Michael Setzpfandt
October 10, 2023

AI centers are the foundation of the German AI ecosystem

On October 9th and 10th, 2023, the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin invited scientists from the university AI competence centers (BIFOLD, ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, and MCML) and the DFKI to Berlin to present and discuss the latest results of their research on the EUREF campus.

Prof. Dr. Begüm Demir

Research Group Lead

Baris Büyüktas Bifold researcher

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