International AI Future Lab on AI4EO

🌟 Excited for #AI4EO? Join us on July 15-16 at TUM Campus Ottobrunn for the #AI4EOSymposium2024! 🛰️🌍 No registration fee! Secure your spot now ➡️ [ai4eo.de/symposium2024] #EarthObservation

#EarthNets: Empowering #AI4EO our #EarthNets Platform developed @Zhu_XLab @TU_Muenchen got accepted @IEEE_GRSS #GRSM. paper: ieeexplore.ieee.org/document/10731… platform: earthnets.github.io Main features: 500+ datasets with 10+ attributes, 50+ SOTA models, and 10+libraries

🚨 Our new paper introduces #FloodCast, a scalable AI-driven system for large-scale flood modeling using satellite data. 🌊🌍 Paper: sciencedirect.com/science/articl… Code: github.com/HydroPML/Flood… #FloodModeling #AI #RemoteSensing #Hydrodynamics #ClimateTech

🚀 Our new paper on #PolyGNN, a graph neural network for 3D building reconstruction from point clouds, is out now! 🌍🏙️ It's scalable, accurate, and ready for real-world applications. paper: sciencedirect.com/science/articl… code: github.com/chenzhaiyu/pol… #AI #EO #3D #UrbanModeling

Excited to dive into #MachineLearning for #EarthObservation? 🌱🌐 Check out this free MOOC: "Introduction to Machine Learning for Earth Observation" being part of #ML4Earth: eo-college.org/courses/introd… link to project: ml4earth.de

The Munich Data Science Institute @TU_Muenchen @MdsiTum is offering an attractive Visiting Researchers Program. If you are interested in visiting us @ai4eo_de for joint #AI4EO research, please have a look: mdsi.tum.de/en/mdsi/resear…

Happy to share that my PhD student Sugandha Doda successfully defended her PhD thesis on "Population Estimation Utilizing Earth Observation Data"! warmest congrats to Dr. Doda for this great achievement! 🌍📊 #PhDDefense #PopulationEstimation #Congratulations #AI4EO

Huge congratulations to Dr. Heidler @koheidler for his outstanding work on #deeplearning, #remotesensing & #polarregions. Proud of your achievements and looking forward to your future contributions! 🌍❄️📊 #PhD #ClimateChange #RemoteSensing #AI4EO #ProudSupervisor

🚀 Perspectives on Earth and Climate Foundation Models! 🌍 Check out our new paper, "On the Foundations of Earth and Climate #FoundationModels," where we define 11 essential features to guide research towards the ideal FM. 👉 Read it here: lnkd.in/dgujQHkj

@trynottocryo @Zhu_XLab @TU_Muenchen @ed_tum @ESA_EO @Ai4Eo @ELLISmunichunit I will be in person only. Since we scheduled it directly after IGARSS 2024 in Athens, Greece. Please kindly consider combine the trips.

@ai4eo_de @Zhu_XLab @TU_Muenchen @ed_tum @ESA_EO @Ai4Eo @ELLISmunichunit Will this be online also?

🌟 Excited for #AI4EO? Join us on July 15-16 at TUM Campus Ottobrunn for the #AI4EOSymposium2024! 🛰️🌍 No registration fee! Secure your spot now ➡️ [ai4eo.de/symposium2024] #EarthObservation

🌍Exciting updates from our @BMWK @DLR_en funded Center #ML4Earth ! On April 23, we held our first in-person progress meeting @TU_Muenchen. 🚀 @grosse_guido @MiguelDMahecha @jlbamber @UniBonn @DLR_en @UniLeipzig @AWI_de @ai4eo_de @Zhu_XLab #AI4EO #Climate ml4earth.de

Big News: we share the insights on global buildings from space today! Explore the unseen with #GlobalOpenBuildingMap! We close the information gap of >50% of buildings across the globe. #AI4EO #Sustainability #RenewableEnergy #SDGs #urbanization paper: arxiv.org/abs/2404.13911

🚀 Dive into the #VisionLanguageModels in #RemoteSensing with our latest paper: "Vision-Language Models in Remote Sensing: Current Progress and Future Trends" 🌐🔍Read the full paper here: ieeexplore.ieee.org/document/10506… #AI4EO #Geospatial #NLP #earthobservation

Our team is looking for a senior scientist/manager who is interested in working with us to help shape the profile of our lab in teaching and research: asg.ed.tum.de/sipeo/news/art…

Keynote presentations are from @xiaoxiang_zhu on Machine Learning for Earth Observation & Beyond, and from Martin Schultz on what will come next in #AI for Weather models, Climate models & Earth system models. Full programme and to register by 3 May ➡️ ml4esop.esa.int

Happy to share that our "Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes" paper (arxiv.org/pdf/2404.09768…) was accepted at the #EarthVision workshop at #CVPR2024. with @Alevering1, Lars Penning, Dario Oliveira @diego_marcos_g, and @xiaoxiang_zhu

How significant would #urbanization impact urban tree coverage? Jianhua extracted #UrbanTreeCoverage of more than 800 cities in North America via #AI4EO, from which prevalent positive indirect effect of urbanization on UTC was revealed. Link to our paper: sciencedirect.com/science/articl…

wish for one #EO #FoundationModel for all types of input data with different modalities #SAR #Optical, with different # of bands or even for unseen sensors? Check our new #NeuralPlasticity Inspired model -#DOFA. paper: arxiv.org/abs/2403.15356 code: github.com/zhu-xlab/DOFA

#Causality instead of #correlation? We integrate causality with #GraphNeuralNetworks (#GNNs) to better understand the interplay of different factors for #wildfire danger prediction. @Zhu_XLab @ai4eo_de @OrionLab_NOA @isp_uv_es Paper @TheICLR #ML4RS: arxiv.org/abs/2403.08414

#PopulationDensity estimation from #Space? In our recent paper @Zhu_XLab led by Sugandha, we use #opendata to do so with #explainable #AI4EO. The approach is #scalable! #AI4Good #SDGs @ObadicIvica @Wang_SAR @ai4eo_de paper: sciencedirect.com/science/articl… code: github.com/zhu-xlab/So2Sa…