
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
This is a FREE webinar. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
Certificates of attendance will be delivered to those who attend the live webinar.
Can’t attend? Register anyway and we’ll let you know when the recording is available to watch.
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Chair & Speaker |
Presentation Title |
Time in PDT |
Time in CST Asia |
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Dr. 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. |