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Session
Presentation | IN41E: Exploring Earth System Complexity with Digital Twins and ≥3D Visualization and Sonification I Poster
Poster
[ONLINE] IN41E-VR8977: Digital Twin Approach Using Machine Learning to Fill Satellite Data Gaps in Chlorophyll-a Monitoring in the Chesapeake Bay
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Schedule
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Credits
Thu, Dec 18
Online
8:30am - 12:00pm (Central)
Online
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Rakshita Chidananda
George Mason University Fairfax
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Author(s):
Rakshita Chidananda
, George Mason University Fairfax
(First Author, Presenting Author)
Chaowei Phil Yang
, George Mason Univ.
Anusha Malarvizhi
, George Mason University
Samir Ahmed
, George Mason University Fairfax
Elena Zhang
, GMU
Jacob Aronow
, GMU
View Abstract
Scientific Discipline
Informatics
Suggested Itineraries
Disasters‚ Calamities and Extreme Events
Global Impacts‚ Solutions‚ & Policies
Machine Learning and AI
Science Communications
Neighborhood
Science Nexus
Type
Poster
Where to Watch
Online
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Main Session
Poster
IN41E: Exploring Earth System Complexity with Digital Twins and ≥3D Visualization and Sonification I Poster
8:30am-12:00pm Dec 18 (Central)
Benjamin Smith
Discussion
