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Curious about #Referring #RemoteSensing Image #Segmentation? It aims at segmenting out the objects from a RS image, given natural language expression. We introduce this new #NLP in #EO task, a dedicated dataset #RefSegRS, and a #LGCE module. paper: ieeexplore.ieee.org/abstract/docum…

#PopulationDensity estimation from #Space? In our recent paper Zhu Lab led by Sugandha, we use #opendata to do so with #explainable #AI4EO. The approach is #scalable! #AI4Good #SDGs Ivica Obadic Yuanyuan Wang International AI Future Lab on AI4EO paper: sciencedirect.com/science/articl… code: github.com/zhu-xlab/So2Sa…

#Causality instead of #correlation? We integrate causality with #GraphNeuralNetworks (#GNNs) to better understand the interplay of different factors for #wildfire danger prediction. Zhu Lab International AI Future Lab on AI4EO OrionLab ISP • Image and Signal Processing Paper ICLR #ML4RS: arxiv.org/abs/2403.08414

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

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…

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, and Xiaoxiang ZHU

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

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…

🚀 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

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

🌍Exciting updates from our @BMWK DLR - English funded Center #ML4Earth ! On April 23, we held our first in-person progress meeting TU München. 🚀 @grosseguido.bsky.social Miguel Mahecha Jonathan Bamber 🇪🇺 🇬🇧 🇩🇪🇺🇦 Rheinische Friedrich-Wilhelms-Universität Bonn DLR - English UNIVERSITÄT LEIPZIG AWI Medien International AI Future Lab on AI4EO Zhu Lab #AI4EO #Climate ml4earth.de

🚀 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

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

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

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 München Munich Data Science Institute is offering an attractive Visiting Researchers Program. If you are interested in visiting us International AI Future Lab on AI4EO for joint #AI4EO research, please have a look: mdsi.tum.de/en/mdsi/resear…

🚀 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

🚨 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

#EarthNets: Empowering #AI4EO our #EarthNets Platform developed Zhu Lab TU München got accepted IEEE Geoscience and Remote Sensing Society #GRSM. paper: ieeexplore.ieee.org/document/10731… platform: earthnets.github.io Main features: 500+ datasets with 10+ attributes, 50+ SOTA models, and 10+libraries