Join Prof. Demir #GRSS webinar "From Efficient Foundation Models to AI Agents for Foundation Model Recommendation to Advance Earth Observation" 🗓️ 16 Oct 2025 🕚 8 AM ET (UTC-5) t1p.de/phlg5 #EarthObservation #EarthObs #BigDataFromSpace #AI4EO #images #GIS #GISchat #geospatial #geography #geosky

Welcome! You are invited to jo...
Welcome! You are invited to join a webinar: From Efficient Foundation Models to AI Agents for Foundation Model Recommendation to Advance Earth Observation. After registering, you will receive a confirmation email about joining the webinar.

by Begüm Demir Technische Universität Berlin Prof. Demir will share her team’s recent advances in foundation models for Earth observation (EO). She will highlight their EO Foundation Model Database, the first structured, schema-guided resource cataloging over 150 EO models across diverse data modalities and learning paradigms. She will then introduce REMSA (Remote-sensing Model Selection Agent), the first LLM agent for automated EO model selection via natural language queries. Her talk will also cover model efficiency, including their soft mixture-of-experts approach, and outline future research directions. Webinar sponsored by GRSS Germany Chapter Learn more: https://www.grss-ieee.org/event/from-efficient-foundation-models-to-ai-agents-for-foundation-model-recommendation-to-advance-earth-observation/

Zoom
Détection des feux par satellite : une première expérimentation au Pont-du-Gard

Au Pont du Gard, des capteurs connectés traquent les feux naissants pour alerter les secours dès les premières fumées. Ces derniers, connectés à la constellation Kinéis, transmettent instantanément une alerte au service de sécurité civile dès la phase de combustion, même en zone blanche.

Le réveil de midi

🌿 New research alert from #Embed2Scale ‼️

💡 A new study by our partners at the University of Zurich demonstrates how super-resolution techniques using Sentinel-1 & Sentinel-2 data can significantly enhance existing biomass maps—offering 10m resolution estimates that are both more accurate and less biased.

📄 Read the publication: https://embed2scale.eu/download/gsr4b-biomass-map-super-resolutionwith-sentinel-1-2-guidance/?wpdmdl=1862

#EarthObservation #RemoteSensing #Biomass #Sentinel #AI4EO #Copernicus #SuperResolution #GeospatialAI #ClimateData

Join us at the Artificial Intelligence Ecosystem Forum 2023 in Athens.
We'll explore the powerful synergy between #AI and #EarthObservation.

We'll be there presenting Lobelia.Air, one of the winning projects of the third open call funded by the AI4Copernicus Project

#AI #AI4EO

RT @xiaoxiang_zhu: We are looking for four postdocs and senior scientists to work on #AI4EO for #socialgood @TU_Muenchen @Zhu_XLab @ai4eo_de!

Please kindly RT @IEEE_GRSS @helmholtz_ai @MunichDS @ed_tum @Ai4Eo @jlbamber @KochupillaiM @MunichAerospace

https://www.asg.ed.tum.de/sipeo/jobs/#c18533

🐦🔗: https://n.respublicae.eu/CopernicusEU/status/1619615001433735169

Jobs

How to use #ArtificialIntelligence & #MachineLearning to improve the use of #Copernicus 🇪🇺🛰️#BigData?

A good starting point is the "#AI for Earth Monitoring" #MOOC 🤖

✍️ Already 10,500 enthusiasts attended it!

Join for free! More at http://eumetsat.int/artificial-intelligence-earth-monitoring-mooc

#AI4EO

🐦🔗: https://nitter.eu/CopernicusEU/status/1593522735359164418

RT @xiaoxiang_zhu: Happy to announce that our @ERC_Research #ERCPoC project #EO4FoodSecurity @TU_Muenchen @Zhu_XLab @ai4eo_de is approved. We will work on innovative #AI4EO solutions to support #FoodSecurity.
Our industrial collaborators are @IABG_mbH @GAF_Munich.

🐦🔗: https://nitter.eu/ERC_Research/status/1567151925644214274

European Research Council (ERC) (@ERC_Research)

RT @xiaoxiang_zhu: Happy to announce that our @ERC_Research #ERCPoC project #EO4FoodSecurity @TU_Muenchen @Zhu_XLab @ai4eo_de is approved.…

Nitter

RT @eumetsat: Last week we shared our new Artificial Intelligence & Machine Learning roadmap: https://bit.ly/3aCSv0d
Activities like our #AI4EO MOOC can help the #EO community better understand the potential of AI/ML approaches. Join over 10K participants by enrolling: https://www.futurelearn.com/courses/artificial-intelligence-for-earth-monitoring

🐦🔗: https://nitter.eu/CopernicusEU/status/1546835958552748034