From Efficient Foundation Models to AI Agents for Foundation Model Recommendation to Advance Earth Observation
In this talk, Prof. Demir will present the recent developments of her team in the context of foundation models for Earth observation (EO).


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In this talk, Prof. Demir will present the recent developments of her team in the context of foundation models for Earth observation (EO).
Conducting Large, Multi-Agency Wildland Fire Research Projects: A case study of their development and lessons learned from the Fire and Smoke Modeling Evaluation Experiment (FASMEE) Adam WattsAffiliation:Fire and Environmental Research Applications (FERA), Pacific Wildland Fire Sciences Laboratory, Pacific Research Station, USA 23 October 2025 9:00 AM ET (UTC-5) Sponsored by GRSS MIRS/REACT- TC Webinar About […]
AlphaEarth Foundations and the Satellite Embedding Dataset: A new foundation for geospatial analysis Valerie PasquarellaAffiliation:Google 3 November 2025 17:00 (UTC) Sponsored by GRSS ESI- TC Webinar About the WebinarAlphaEarth Foundations is a new AI model that assimilates and encodes many different sources of geospatial information, effectively functioning like a virtual satellite. AlphaEarth Foundations can image […]
Benchmarking and Enhancing Geospatial Foundation Models Capabilities Valerio MarsocciAffiliation: ESA Φ-lab 6 November 2025 10:00 AM UTC Sponsored by GRSS TC Webinar - IADF About the WebinarGeospatial Foundation Models (GFMs) emerged as powerful tools for analyzing Earth observation data. Yet their evaluation often falls short, limiting the assessment of promising innovations. Many benchmarks rely on overly […]
Quantifying Land Motion with Large Datasets: Time, Effort, Tears, and Victories Carolina Hurtado-PulidoAffiliation: Purdue University 20 November 2025 13:00 UTC Sponsored by GRSS TC Webinar - REACT About the WebinarVertical land deformation is caused by natural causes such as sediment compaction, fault slip, and isostatic adjustments. Some anthropogenic activities like fluid extraction and injection can also […]
Sequence Learning and Time Series Analysis with Quantum Recurrent Models Antonello RosatoAffiliation: Sapienza University of Rome, Italy 27 November 2025 9:00 AM UTC Sponsored by GRSS TC Webinar - QUEST About the WebinarQuantum Machine Learning is gaining increasing attention as a tool for processing the complex and large-scale data produced in Earth Observation. Among the available […]
Physics-Based Artificial Intelligence in Earth Observation Prof. Fabio Del FrateAffiliation:Tor Vergata University of Rome 10 December 2025 16:00 UTC Sponsored by GRSS MIRS - TC Webinar About the WebinarThe webinar […]
TESSERA: Precomputed FAIR Global Pixel Embeddings for Earth Representation and Analysis Zhengpeng (Frank) FengAffiliation:University of Cambridge 12 December 2025 15:00 UTC Sponsored by GRSS ESI - TC Webinar About the […]
Geospatial machine learning has emerged as a compelling testing ground for modern computer vision and machine learning algorithms.
Geospatial machine learning has emerged as a compelling testing ground for modern computer vision and machine learning algorithms.
This talk will briefly review permafrost and remote sensing of permafrost landscapes, then focus on remote sensing of ground ice.
Quantum Computing for Space Science and Technology Webinar Speaker: Enrico Prati Affiliation: University of Milan 4 March 2026 4:00 PM UTC Sponsored by GRSS Quest - TC Webinar Register here […]
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