Fwd: [colibri] AMS SatMOC June 2026 Short Course

[Cecilia Villanueva]

Hello,

 

We are excited to announce a virtual training opportunity for undergraduate/graduate students to learn about environmental satellite capabilities with a focus on accessing open-source and machine-learning products, including creating AI-ready datasets and demonstrating the use of AI and machine learning in both land and atmospheric applications.

 

We encourage you to register here for the virtual short course titled “AI (Artificial Intelligence) Applications Using Environmental Satellite Remote Sensing Data” consisting of four sessions scheduled to take place virtually June 16, 18, 23, and 25, 2026 from 9:00AM-1:00PM EDT. Registration closes June 8, 2026.

 

• Training Session 1, June 16: An Introduction to Environmental Satellite Remote Sensing  (Christopher Smith, CISESS, ESSIC, University of Maryland)

 

• Training Session 2, June 18: Creating AI-Ready Datasets (Naufal Razin, CIRA, Colorado State University & Yongzhen Fan, CISESS, ESSIC, University of Maryland)

 

• Training Session 3, June 23: Forest for the Trees: Understanding Machine Learning in Land Cover Classification (Justin Fain, Bay Area Environmental Research Institute, NASA Ames Research Center)

 

• Training Session 4, June 25: From Random Forests to Foundation Models: AI for Atmospheric Applications (Dr. Meng Zhou, Iowa Technology Institute - The University of Iowa)

 

These training sessions will provide hands-on experience on the use of artificial intelligence and machine learning in developing new and improved environmental satellite data applications. 

 

Certificates of completion will be issued to attendees who participate in a minimum of three training sessions and the participation in each session must exceed one hour.

 

Final details, including the Zoom link, will be distributed after registration closes the week of June 8. 

 

Again, the registration form is here. Non-students are welcome to register and registration is free. If you have any questions, please contact Gary McWilliams (gary.mc...@noaa.gov).

 

Thank you,

The SatMOC Training Planning Team

 

If you would like to be removed from this email list, please respond to sherrie....@nasa.gov to let us know.

 

 

Sherrie Morris Training Coordinator NASA Applied Remote Sensing Training Program (ARSET) Science & Technology Corporation m: 703.282.6476 sherrie....@nasa.gov

 

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