Industry Speaker – Applying Machine Learning Technologies to Space-based Planetary Study
The Denver/High Plains GRSS Chapter is excited to announce that it will be hosting an industry speaker on November 6th, 2024 from 6:00 to 8:00 PM MST at the University of Colorado Boulder.
Please join us as Chris Rampersad presents on example applications using open satellite data, and describe how ML technologies are helping us to better understand changes happening on the planet.
The lecture will be held in DLC 1B70, Engineering Dr, Boulder, CO 80302
Chris is currently the Vice President of Engineering at EarthDaily Analytics – a vertically integrated software and analytics space company developing world-first technologies in data services, satellite processing, machine learning, and actionable insights. For more information about EarthDaily, you can navigate to their company website here – EarthDaily – The world’s most advanced Change Detection System.
We hope to see you there!
Date and Time
Location
Hosts
Registration
- Date: 06 Nov 2024
- Time: 06:00 PM to 08:00 PM
- All times are (UTC-07:00) Mountain Time (US & Canada)
- Add Event to Calendar
- University of Colorado Boulder
- Engineering Dr
- Boulder, Colorado
- United States 80302
- Building: DLC 1B70
- Contact Event Hosts
-
Neill Kefauver - IEEE Denver High Plains GRSS Chair
Daniel Yerkes - IEEE Denver High Plains GRSS Vice-Chair
- Starts 29 October 2024 05:49 PM
- Ends 06 November 2024 06:00 PM
- All times are (UTC-07:00) Mountain Time (US & Canada)
- No Admission Charge
Speakers
Chris Rampersad of Earth Daily
Applying Machine Learning Technologies to Space-based Planetary Study
Chris Rampersad presents on example applications using open satellite data, and describe how ML technologies are helping us to better understand changes happening on the planet
Biography:
Chris is currently the vice president of engineering at EarthDaily Analytics – a vertically integrated software and analytics space company developing world-first technologies in data services, satellite processing, machine learning, and actionable insights. For more information about EarthDaily, you can navigate to their company website here – EarthDaily – The world’s most advanced Change Detection System.