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SUMMARY:A Computer Vision (ML) Approach to Classifying Clouds and Aerosols
  from Satellite Observations - Steve Dutcher
DTSTART;TZID=America/Chicago:20230712T112500
DTEND;TZID=America/Chicago:20230712T115500
DTSTAMP:20261007T030449Z
UID:pretalx-2023-LAKM79@cfp.scipy.org
DESCRIPTION:The NASA Atmosphere SIPS\, located at the University of Wiscon
 sin\, is responsible for producing operational cloud and aerosol scientifi
 c products from satellite observations. With decades of satellite observat
 ions\, new scientific algorithms are employing Machine Learning (ML) metho
 ds to improve processing efficiencies and scientific analyses. In preparat
 ion for future developments\, we are working with NASA Atmospheric Science
  Teams to understand ML requirements and assist in developing new tools th
 at will benefit both the Science Teams and the broader Open-Source Science
  community. This talk will step through a ML methodology being used to ide
 ntify cloud types and severe aerosols.
LOCATION:Zlotnik Ballroom
URL:https://cfp.scipy.org/2023/talk/LAKM79/
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