Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

FR1.R16.2

Measuring sea ice surface roughness and proxy thickness information using C-band and L-band synthetic aperture radar (SAR) in the Canadian Arctic Archipelago

Grant Macdonald, Randall Scharien, Parnian Rezania, University of Victoria, Canada; Christian Haas, Alfred Wegener Institute, Germany; Stephen Howell, Alexander Komarov, Environment and Climate Change Canada, Canada

Session:

FR1.R16: Advanced Observations of Sea Ice by Satellite SAR in a Changing Climate Oral

Location:

Room 207

Presentation Time:

Fri, 21 Jul, 08:42 - 08:54 Pacific Time (UTC -7)

Session Co-Chairs:

Lanqing Huang, Swiss Federal Institute of Technology in Zürich and Malin Johansson, UiT The Arctic University of Norway

Session Manager:

Shankho Subhra Pal

Session FR1.R16

FR1.R16.1: SEA ICE MAPPING WITH SATELLITE L-BAND SAR AND UNFOCUSSED SAR

Son V. Nghiem, Jet Propulsion Laboratory, California Institrute of Technology, United States

FR1.R16.2: Measuring sea ice surface roughness and proxy thickness information using C-band and L-band synthetic aperture radar (SAR) in the Canadian Arctic Archipelago

FR1.R16.3: Sea ice topographic retrieval in the Western Weddell Sea from TanDEM-X

Lanqing Huang, Irena Hajnsek, Swiss Federal Institute of Technology in Zürich, Switzerland

FR1.R16.4: THE CHALLENGE OF YEAR-LONG HIGH RESOLUTION ICE CLASSIFICATION

Karl Kortum, German Aerospace Center (DLR e.V.), Germany; Suman Singha, Danish Meteorological Institute (DMI), Denmark; Gunnar Spreen, University of Bremen, Germany

FR1.R16.5: DEEP LEARNING ON SAR IMAGERY: TRANSFER LEARNING VERSUS RANDOMLY INITIALIZED WEIGHTS

Morteza Karimzadeh, Rafael Pires de Lima, University of Colorado Boulder, United States