{"id":2037,"date":"2025-05-21T16:53:49","date_gmt":"2025-05-21T20:53:49","guid":{"rendered":"https:\/\/www.clarku.edu\/geospatial-analytics\/signals-from-space-insights-from-embeddings-a-recap-of-the-esa-nasa-eo-fm-workshop\/"},"modified":"2025-12-15T10:58:49","modified_gmt":"2025-12-15T15:58:49","slug":"signals-from-space-insights-from-embeddings-a-recap-of-the-esa-nasa-eo-fm-workshop","status":"publish","type":"post","link":"https:\/\/www.clarku.edu\/geospatial-analytics\/blog\/signals-from-space-insights-from-embeddings-a-recap-of-the-esa-nasa-eo-fm-workshop\/","title":{"rendered":"Signals from Space, Insights from Embeddings: A Recap of the ESA-NASA EO FM Workshop"},"content":{"rendered":"\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"473\" src=\"https:\/\/www.clarku.edu\/geospatial-analytics\/wp-content\/uploads\/sites\/117\/20250507_133302-scaled-1-1-1024x473.jpg\" alt=\"student and professor on stage receiving award\" class=\"wp-image-2357\" srcset=\"https:\/\/www.clarku.edu\/geospatial-analytics\/wp-content\/uploads\/sites\/117\/20250507_133302-scaled-1-1-1024x473.jpg 1024w, https:\/\/www.clarku.edu\/geospatial-analytics\/wp-content\/uploads\/sites\/117\/20250507_133302-scaled-1-1-300x139.jpg 300w, https:\/\/www.clarku.edu\/geospatial-analytics\/wp-content\/uploads\/sites\/117\/20250507_133302-scaled-1-1-768x355.jpg 768w, https:\/\/www.clarku.edu\/geospatial-analytics\/wp-content\/uploads\/sites\/117\/20250507_133302-scaled-1-1-1536x709.jpg 1536w, https:\/\/www.clarku.edu\/geospatial-analytics\/wp-content\/uploads\/sites\/117\/20250507_133302-scaled-1-1-2048x946.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><br>The ESA-NASA International Workshop on AI Foundation Model for Earth Observations (EO) was held at ESA-ESRIN in Frascati, Italy from May 5\u20137. This was a dynamic gathering focused on recent advances in foundation models for EO (EO FMs). Clark CGA\u2019s team participated in the workshop, presented results of our research on explainable AI methods for EO FMs, and moderated multiple sessions during the week.<\/p>\n\n\n\n<p>The workshop brought together experts working on the development and application of these models. NASA\u2019s team presented its Prithvi family of models for EO and weather applications, while ESA and IBM introduced TerraMind, a new model featuring an innovative pretext task that showed promising results on Sentinel satellite products.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.clarku.edu\/geospatial-analytics\/wp-content\/uploads\/sites\/117\/20250507_105454-scaled.avif\" alt=\"Clark CGA Team at The ESA-NASA International Workshop on AI Foundation Model for Earth Observations\" class=\"wp-image-1866\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.clarku.edu\/geospatial-analytics\/wp-content\/uploads\/sites\/117\/20250507_1055250-scaled.avif\" alt=\"Clark CGA Team at The ESA-NASA International Workshop on AI Foundation Model for Earth Observations\" class=\"wp-image-1865\"\/><\/figure>\n\n\n\n<p>A major theme across the sessions was the direct use, fusion, and interpretation of EO FM embedding outputs. Presenters explored how to design models that effectively address the multi-modal nature of remote sensing by leveraging data from diverse imaging sensors, particularly optical, thermal, and SAR. The workshop also highlighted growing efforts to create massive datasets to support self-supervised training, semantic search, and inference directly within learned embedding spaces.<\/p>\n\n\n\n<p>\u201cIt was a pleasure to collaborate with our NASA and ESA colleagues to organize this flagship workshop, and join other experts to discuss the latest advancements in this field,\u201d says Dr. Hamed Alemohammad, Director of Clark CGA, who presented at the workshop. \u201cThe workshop provided a forum to both engage in technical discussions with other experts, and explore joint opportunities to bring the impact of advancements in EO FMs to solve societal problems\u201d.<\/p>\n\n\n\n<p>\u201cBeyond networking opportunities, it was exciting to see how the field of EO FMs is evolving: there is a clear shift toward more sophisticated handling of multi-modal remote sensing data and a growing interest in how to effectively leverage the embedding space of foundation models,\u201d says Dr. Sam Khallaghi, Postdoctoral Researcher at Clark CGA who attended the workshop. \u201cThese developments offered new perspectives that will directly inform the self-supervised learning section of a book chapter I&#8217;m currently working on.\u201d<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.clarku.edu\/geospatial-analytics\/wp-content\/uploads\/sites\/117\/IMG_8259-scaled.avif\" alt=\"Clark CGA Team at The ESA-NASA International Workshop on AI Foundation Model for Earth Observations\" class=\"wp-image-1867\"\/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>The ESA-NASA International Workshop on AI Foundation Model for Earth Observations (EO) was held at ESA-ESRIN in Frascati, Italy from May 5\u20137. This was a dynamic gathering focused on recent advances in foundation models for EO (EO FMs). Clark CGA\u2019s team participated in the workshop, presented results of our research on explainable AI methods for [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":2038,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[8],"tags":[],"class_list":["post-2037","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Signals from Space, Insights from Embeddings: A Recap of the ESA-NASA EO FM Workshop | Center for Geospatial Analytics | Clark University<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.clarku.edu\/geospatial-analytics\/blog\/signals-from-space-insights-from-embeddings-a-recap-of-the-esa-nasa-eo-fm-workshop\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Signals from Space, Insights from Embeddings: A Recap of the ESA-NASA EO FM Workshop\" \/>\n<meta property=\"og:description\" content=\"The ESA-NASA International Workshop on AI Foundation Model for Earth Observations (EO) was held at ESA-ESRIN in Frascati, Italy from May 5\u20137. 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