ESA-NASA International Workshop on AI Foundation Model for EO Join experts from artificial intelligence (AI), geospatial science, climate, weather, and Earth observation communities from across the globe in this in-person...
EARTHVISION 2025 Earth Observation (EO) and remote sensing are ever-growing fields of investigation where computer vision, machine learning, and signal/image processing meet. The general objective of the domain is to...
LIVING PLANET SYMPOSIUM Held every three years, ESA’s Living Planet Symposia are among the world’s premier events on Earth observation. The symposia continue to expand in both size and scope....
2025 IEEE International Geoscience and Remote Sensing Symposium The International Geoscience and Remote Sensing Symposium (IGARSS) is the flagship conference of the IEEE Geoscience and Remote Sensing Society (GRSS). On...
BiDS | BIG DATA FROM SPACE 2025 The Big Data from Space 2025 (BiDS) event convenes key stakeholders from industry, academia, EU institutions and governmental entities to explore the evolving...
AGU25 Join thousands of scientists, educators, and policymakers at the premier Earth and space science conference 15-19 December in New Orleans, Louisiana. Explore groundbreaking research, connect with global experts, and...
Advancing AI in Space Downstream Applications – EUSPA AI Week On 19 January 2026 (10:15–11:30 CET), join the “Advancing AI in Space Downstream Applications” online workshop, part of EUSPA AI...
Embed2Scale session @AI4Good: Embedding workflows for Earth Observation tasks This workshop, with Embed2Scale expert Isabelle Wittmann from IBM Research, will demonstrate how modern Foundation Models can generate EO embeddings that...
Webinar: “Visual Prompting for Geospatial Image Segmentation based on Embedding Maps” The application of Foundation Models to Earth Observation (EO) data is often slowed down by complex data preparation for...
Webinar: “Embedding Space Metrics Constrained Fine-Tuning” CEST While fine-tuning Geospatial Foundation Models (GFMs) has become the standard for domain adaptation, it often leads to catastrophic forgetting or 'representation drift,' where...
