International Geoscience and
Remote Sensing Symposium
Theme Tag Line
TU1.R17.5
ASSESSING THE REPRESENTATION OF WIND, TERRAIN, AND VEGETATION EFFECTS ON SNOW DENSITY DISTRIBUTED BY LEARNED REGRESSION MODELING
Tate Meehan, Eli Deeb, Cold Regions Research and Engineering Laboratory, United States; H.P. Marshall, Boise State University, United States; Shad O'Neel, Cold Regions Research and Engineering Laboratory, United States
Session:
TU1.R17: Microwave Modeling and Observation of Snow Oral
Track:
Cryosphere
Location:
Room 212/214
Presentation Time:
Tue, 18 Jul, 09:18 - 09:30 Pacific Time (UTC -7)
Session Co-Chairs:
Michael Durand, Ohio State University and Leung Tsang, University of Michigan