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For the BMBF funded International Future Lab “AI4EO” (https://ai4eo.de/) we are looking for a motivated Science Manager (m/f/d)   ABOUT US The International Future Lab “AI4EO: Artificial Intelligence for Earth Observation – Reasoning, Uncertainties, Ethics and Beyond” brings renowned…

Agriculture plays a central role globally by providing food for humans and livestock or material for industrial processes. It is a driver of economic growth and will play an essential role in reducing the impact of climate change and greening our economies. Accurate and reliable agricultural data is…

Dr.-Ing. Danfeng Hong has been awarded the “Best Reviewer“ prize for 2020 by the journal “IEEE Transactions on Geoscience and Remote Sensing“. He was thus recognized for the number, quality and speed of his reviews.

The paper Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion, authored by Andrea Meraner, Patrick Ebel, Xiao Xiang Zhu, and Michael Schmitt, has been selected as the best paper published in 2020 (volumes 159-170) in the ISPRS Journal of…

Remote sensing is entering a new era of time-series analysis. Short revisit times of satellites allow for monitoring of many areas across the globe on a weekly basis. However, there has been little exploration of deep learning techniques to leverage this new temporal dimension at scale. Especially,…

ESA has just opened the Living Planet Fellowship, whose main objective is “to support young scientists, at post-doctoral level, to undertake cutting-edge research in Earth Observation, Earth System Science or Climate Research, maximising the scientific return of ESA and European EO missions and…

The Technical University of Munich (TUM) is consolidating its relevant expertise at the recently founded Munich Data Science Institute (MDSI) in order to use advanced theory and multidisciplinary, data-driven research to facilitate quantum leaps in innovation with major scientific, economic and…

The article "KI-basierte Detektion von Gebäuden mittels Deep Learning und amtlichen Geodaten zur Baufallerkundung" (English: "AI-based detection of buildings using deep learning and official geodata for building case investigation") [paper], authored by Robert Roschlaub, Qingyu Li, Stefan Auer,…

We congratulate Jakob Gawlikowski for winning the first place in the GRSS Three Minute Thesis Comptetition with his work entitled 'Robust Machine Learning Based Data Fusion Methods', please see the details here.

We are looking for a system with 16 GPUs and a large storage for deep learning. Interested companies please contact Dr.-Ing. Yuanyuan Wang (email: y.wang(at)tum.de).