MO1.R17.3

RECONSTRUCTION OF THE SNOW COVER AT HIGH SPATIAL RESOLUTION SINCE 1985: AN IMAGE EMULATION APPROACH FOR TRAINING A DEEP LEARNING MODEL WITHOUT REFERENCE DATA

zacharie barrou dumont, UPS, France; Simon Gascoin, CNRS, France; Jordi Inglada, CNES, France
Session:
MO1.R17: Optical Remote Sensing of Snow Oral
Track:
Cryosphere
Location:
Room 212/214
Presentation Time:
Mon, 17 Jul, 13:24 - 13:36 Pacific Time (UTC -8)
Session Chair:
Hannah Besso, University of Washington
Session Manager:
Soumitra Sakhalkar
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Session MO1.R17
MO1.R17.1: GLOBAL MOUNTAIN SNOW COVER EXTENT AND PHENOLOGY OVER 2000-2022 DERIVED FROM MODIS IMAGERY AT 500 M
Claudia Notarnicola, Eurac Research, Italy
MO1.R17.2: EVALUATION OF SNOW COVER PROPERTIES IN ERA5 WITH SEVERAL SATELLITE-BASED DATASETS IN NORTHERN HEMISPHERE IN SPRING 1982-2018
Kerttu Kouki, Kari Luojus, Aku Riihelä, Finnish Meteorological Institute, Finland
MO1.R17.3: RECONSTRUCTION OF THE SNOW COVER AT HIGH SPATIAL RESOLUTION SINCE 1985: AN IMAGE EMULATION APPROACH FOR TRAINING A DEEP LEARNING MODEL WITHOUT REFERENCE DATA
zacharie barrou dumont, UPS, France; Simon Gascoin, CNRS, France; Jordi Inglada, CNES, France
MO1.R17.4: MOUNTAIN SNOW DEPTH RETRIEVALS FROM CUSTOMIZED PROCESSING OF ICESAT-2 SATELLITE LASER ALTIMETRY
Hannah Besso, David Shean, Jessica Lundquist, University of Washington, United States
MO1.R17.5: OBSERVATIONS OF DIURNAL MIDWAVE INFRARED ANISOTROPY OVER SNOW AND FORESTS WITH GOES-R ABI
Steven Pestana, University of Washington, United States; Edward H. Bair, Jeff Dozier, University of California Santa Barbara, United States; Jessica D. Lundquist, University of Washington, United States
Resources
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