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Physically-Based Machine Learning Approach to Dust Detection in NASA/NOAA Geostationary Satellite Imagery
Document ID
20210025611
Acquisition Source
Marshall Space Flight Center
Document Type
Presentation
Authors
Emily Beth Berndt (Marshall Space Flight Center Redstone Arsenal, Alabama, United States)
Robert Anthony Junod (University of Alabama in Huntsville Huntsville, Alabama, United States)
Kevin Kenneth Fuell (University of Alabama in Huntsville Huntsville, Alabama, United States)
Nicholas Joseph Elmer (Universities Space Research Association Columbia, Maryland, United States)
Date Acquired
December 7, 2021
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: American Geophysical Union (AGU) Fall Meeting 2021
Location: Virtual
Country: US
Start Date: December 13, 2021
End Date: December 17, 2021
Sponsors: American Geophysical Union
Funding Number(s)
WBS: 281945.02.80.01.66
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Dust
Remote Sensing
Machine Learning

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