P008
Machine Learning for Planetary Science I
Machine Learning for Planetary Science I
Monday, 7 December 2020: 05:30-06:30
Virtual
Primary Convener: Hannah Rae Kerner, University of Maryland College Park, Geography, College Park, MD, United States
Conveners: Klaus-Michael Aye, University of Colorado at Boulder, Laboratory for Atmosphere and Space Physics, Boulder, CO, United States, Mario D'Amore, German Aerospace Center DLR Berlin, Berlin, Germany, Jörn Helbert, DLR, Berlin, Germany and Hannah Rae Kerner, University of Maryland, College Park, Geography, College Park, MD, United States
Primary Liaison: Hannah Rae Kerner, University of Maryland College Park, Geography, College Park, MD, United States
Chairs: Mario D'Amore, German Aerospace Center DLR Berlin, Berlin, Germany, Hannah Rae Kerner, University of Maryland College Park, Geography, College Park, MD, United States, Abigail Azari, University of Michigan, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States and Klaus-Michael Aye, University of Colorado at Boulder, Laboratory for Atmosphere and Space Physics, Boulder, CO, United States
OSPA Liaison: Hannah Rae Kerner, University of Maryland College Park, Geography, College Park, MD, United States
05:30
05:34
05:38
05:42
05:46
05:50
05:54
See more of: Planetary Sciences