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DTSTART;TZID=Europe/Berlin:20260127T140000
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CREATED:20260107T082728Z
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UID:32566-1769522400-1769526000@geodesy.science
SUMMARY:Webinar - AI For GNSS Remote Sensing
DESCRIPTION:This online meeting of the IAG GGOS Joint Study Group on AI for GNSS Remote Sensing (open to non-members) brings together researchers and practitioners to discuss recent advances in artificial intelligence and machine learning applied to GNSS-based Earth observation. The program covers AI-driven approaches for atmospheric and ionospheric sensing\, tropospheric modeling\, uncertainty quantification\, and GNSS reflectometry. \n\n\nAgenda: \n\n14:00–14:15 — Nikolina Govedarica (IBM Corporation)\nAgentic AI – Action-Driven Intelligence\n14:15–14:30 — Cuixian Lu (Wuhan University)\nGNSS Atmospheric Sounding Using Deep Learning\n14:30–14:45 — Peng Yuan (GFZ)\nAI-Enhanced Vertical Modeling of Tropospheric Products\n14:45–15:00 — Saeid Haji-Aghajany (Wrocław University of Environmental and Life Sciences)\nRemote Sensing Techniques for AI-Based Tropospheric Analysis and Weather Forecasting\n15:00–15:15 — Randa Natras (DLR)\nUncertainty Quantification in ML-Based Models Applied to Ionosphere Forecasting\n15:15–15:30 — Lei Liu (University of Michigan\, Ann Arbor)\nIonosphere Remote Sensing Using GNSS Measurements\n15:30–15:45 — Hamed Izadgoshasb (Sapienza University of Rome / GFZ)\nExplainable CYGNSSnet for Global GNSS-Reflectometry Soil Moisture\n15:45–15:50 — Wrap-up and final discussions
URL:https://geodesy.science/event/webinar-ai-gnss-remote-sensing/
CATEGORIES:GGOS
ATTACH;FMTTYPE=image/png:https://geodesy.science/wp-content/uploads/Presentation1_Copyright-MiladAsgarimehr_2026-01-06_559c78.png
ORGANIZER;CN="GFZ Helmholtz Centre for Geosciences":MAILTO:milad@gfz.de
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