News

The team Tanmlh, composed by Fahong Zhang, Zhitong Xiong, Qingsong Xu, Wei Yao, Yilei Shi, Xiao Xiang Zhu, has been awarded with the third prize in the Landslide4Sense Challenge. The aim of the competition is to promote innovative algorithms for automatic landslide detection using remote sensing…

On June 23, Yuansheng Hua has successfully defended his thesis entitled Deep Learning for Aerial Scene Understanding from the Lab to the Wild, supervised by Prof. Xiao Xiang Zhu and Prof. Lichao Mou. The defense committee members were Prof. Urs Hugentobler (chair), Prof. Xiao Xiang Zhu, Prof. Lichao…

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 received the U. V. Helava Award 2020-2021 for the best paper in the ISPRS Journal of Photogrammetry and…

The poster So2Sat POP - A Curated Benchmark Dataset for Population Estimation from Space on a Continental Scale, presented by Sugandha Doda, received the Best Poster Award at the Helmholtz AI Conference 2022! Obtaining a dynamic population distribution is key to many decision-making processes such…

Helmholtz AI is proud to announce an exciting data challenge: the Helmholtz AI CountMeIn Challenge. In this challenge, the participant teams will solve a challenging data science problem from the field of remote sensing: A spatially resolved estimate of the population based on satellite images. The…

This week we kicked off the project “Innovative Instrumente zum MAnagement des Urbanen Starkregenrisikos” – in short, Inno_MAUS in person in the Umweltstation Würzburg. This project is led by the University Potsdam, TUM is involved with the chair of Hydraulic and Water Resources Engineering and the…

Urbanization can be seen as the second-largest global megratrend right after Climate Change. According to UN, approximately three-fourths of the worlds' population will live in urban areas by 2050, while one-third will occupy large cities above 500,000 citizens already by 2030. This is no surprise.…

We are happy to announce the project kick-off of the ESA funded project RepreSent on 6.4.2022. The project runs from 1.4.2022 to 31.3.2023. This project is led by our Department “EO Data Science” at DLR, in collaboration with our partners from EPFL, VTT and  e-geos. The main objective is to…

Our Artificial Intelligence for Earth Observation, AI4EO, Food Security Challenge has come to a fruitful end with our partners Planet, DLR, ESA, TUM & Radiant Earth! We are excited to showcase the top 4 solutions alongside our keynote speaker from NASA HARVEST, Hannah Kerner, Machine Learning Lead…

Are you interested in doing a PhD in quantum computing? This may be your opportunity, we have just announced four new positions! More details at https://www.asg.ed.tum.de/sipeo/jobs/