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NASA NTRS · 20220009552

Dust Machine Learning Probability and Assessment

Emily Berndt·Kevin Fuell
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Abstract

- NASA SPoRT introduced the "Dust RGB" via NASA satellites to demonstrate GOES-R ABI capabilities and then evaluated the impact in operations (Fuell et al. 2016) - The Dust RGB allows for continued dust detection at night, but the cooling ground surface limits the effectiveness as night progresses. - SPoRT has developed a 'Machine Learning' (ML) model using a physically-based approach which can correctly label 85% of dust pixels and 99% of no-dust pixels

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Emily Berndt, Kevin Fuell. Dust Machine Learning Probability and Assessment. https://ntrs.nasa.gov/citations/20220009552

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