Topics Webinar丨GeoAI-Earth Intelligence from Space: A Physics-Aware AI Framework for Satellite Remote Sensing
the chair
GeoAI – Earth Intelligence from Space: A Physics-Aware AI Framework for Satellite Remote Sensing
Satellite remote sensing has transformed our ability to observe Earth, yet the rapidly growing volume, diversity, and complexity of Earth observation data require a new analytical framework. This seminar will introduce the concept of Earth Intelligence from Space, a physics-aware artificial intelligence framework that integrates satellite observations, physical principles, Earth system models, and advanced machine learning. Rather than treating artificial intelligence solely as a statistical pattern-recognition tool, physics-aware AI incorporates established scientific knowledge, observational constraints, uncertainty quantification, and causal reasoning into the learning process. The seminar will discuss the ways in which this approach can improve the retrieval, interpretation, and prediction of atmospheric, surface, and environmental conditions; strengthen the integration of multisensor and multiplatform observations; and support the development of more transparent and scientifically trustworthy AI systems. In addition, it will explore the longer-term vision of distributed and in-space computing for near-real-time Earth observation, early warning, and decision support.
Date & Time: 31 August 2026 6:00 pm PDT | 1 September 2026 9:00 am CST Asia
Webinar ID: 895 9363 0830
Webinar Secretariat: journal.webinar@mdpi.com
Meet Our Chair
Jet Propulsion Laboratory, Pasadena, CA 91011, United States;Jonathan H. Jiang is an atmospheric and Earth system scientist, editor, and author. He previously served for more than 26 years at NASA’s Jet Propulsion Laboratory, California Institute of Technology, where he was a Principal Scientist and Group Supervisor of the Aerosol and Cloud Group. His research focuses on satellite remote sensing, atmospheric composition, clouds, climate variability, Earth system science, and the application of artificial intelligence to the interpretation of satellite observations. Dr. Jiang served on the steering committee of the U.S. National Academies of Sciences, Engineering, and Medicine study, A Science Strategy for the Human Exploration of Mars. He has also served as President of the Global Environmental Change Section of the American Geophysical Union and was elected a Fellow of the American Meteorological Society. He is currently Editor of MDPI's Remote Sensing and is the author of Avoiding the Great Filter: A Philosophical Journey toward Humanity’s Future.
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Chair & Speaker |
Presentation Title |
Time in PDT |
Time in CST Asia |
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Prof. Jonathan H. Jiang
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Introduction |
6:00 – 6:10 p.m. |
9:00 – 9:10 a.m. |
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Earth Intelligence from Space: A Physics-Aware AI Framework for Satellite Remote Sensing |
6:10 – 6:45 p.m. |
9:10 – 9:45 a.m. |
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Q&A Session |
6:45 – 6:55 p.m. |
9:45 – 9:55 a.m. |
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Closing of Webinar |
6:55 – 7:00 p.m. |
9:55 – 10:00 a.m. |
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