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2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
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Session Detail
Session Title
TU2.R9: Sea Ice I
Presentation Mode
Virtual
Session Time
Tue, 29 Sep, 14:30 - 16:30 UTC
Tue, 29 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Tue, 29 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Tue, 29 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Chairs
John Yackel, University of Calgary and Son Nghiem, Jet Propulsion Laboratory, California Institute of Technology
TU2.R9.1:
A MICROWAVE EMISSIVITY SEA ICE RETRIEVAL ALGORITHM
Katherine Wentz;
Remote Sensing Systems
Carl Mears;
Remote Sensing Systems
Frank Wentz;
Remote Sensing Systems
TU2.R9.2:
ULTRA WIDEBAND RADIOMETER SIGNATURES OF ARCTIC SEA ICE: PRELIMINARY RESULTS FROM THE MOSAIC CAMPAIGN
Oguz Demir;
The Ohio State University
Mark Andrews;
The Ohio State University
Kenneth Ayotte;
The Ohio State University
Lars Kaleschke;
Alfred Wegener Institute
Kenneth Jezek;
The Ohio State University
Joel Johnson;
The Ohio State University
TU2.R9.3:
RETRIEVAL OF ARCTIC SEA ICE SURFACE MELT ONSET IN 2016 FROM FY-3B/MWRI DATA
Jie Su;
Ocean University of China
Hairui Hao;
Ocean University of China
Hongjie Liang;
Ocean University of China
TU2.R9.4:
SEA ICE MELT AND FREEZE ONSET FROM SPACE-BASED LIDAR MEASUREMENTS
Xiaomei Lu;
SSAI/NASA LaRC
Yongxiang Hu;
NASA Langley Research Center
TU2.R9.5:
AIRBORNE ALTIMETRY MEASUREMENTS IN THE ARCTIC USING A COMPACT MULTI-BAND RADAR SYSTEM: INITIAL RESULTS
Fernando Rodriguez-Morales;
University of Kansas
Jilu Li;
University of Kansas
Carlton Leuschen;
University of Kansas
Sine Hvidegaard;
Technical University of Denmark
René Forsberg;
Technical University of Denmark
TU2.R9.6:
OBSERVATIONS OF ARCTIC SEA ICE LEADS AND OPEN WATER DURING THE MICROBIOLOGICAL-OCEAN-CLOUD COUPLING IN THE HIGH ARCTIC CAMPAIGN
Son Nghiem;
NASA Jet Propulsion Laboratory, California Institute of Technology
Rachel Kirpes;
University of Michigan
Jun Liu;
University of Michigan
Kerri Pratt;
University of Michigan
Patricia Matrai;
Bigelow Laboratory for Ocean Sciences
Amanda Grannas;
Villanova University
Heini Wernli;
ETH Zürich
TU2.R9.7:
ESTIMATION OF ICE CONCENTRATION FROM SAR USING MULTISCALE ICE AND WATER RETRIEVALS
Alexander Komarov;
Data Assimilation and Satellite Meteorology Research Section
Mark Buehner;
Data Assimilation and Satellite Meteorology Research Section
TU2.R9.8:
MODELING BACKSCATTER FROM OIL-CONTAMINATED SEA ICE USING A MULTI-LAYERED SCATTERING MODEL
Dustin Isleifson;
University of Manitoba
Alexander Komarov;
Environment and Climate Change Canada
Durell Desmond;
University of Manitoba
Gary Stern;
University of Manitoba
David Barber;
University of Manitoba
TU2.R9.9:
A MULTI-SCALE TECHNIQUE TO DETECT MARGINAL ICE ZONES USING CONVOLUTIONAL NEURAL NETWORKS.
Anmol Sharan Nagi;
University of Waterloo
Manpreet Singh Minhas;
University of Waterloo
Linlin Xu;
University of Waterloo
Andrea Scott;
University of Waterloo
TU2.R9.10:
ASSESSMENT OF FOUR PASSIVE MICROWAVE SEA ICE CONCENTRATIONS BY USING AUTOMATIC MODIS SEA ICE CLASSIFICATION
Shuang Liang;
Aerospace Information Research Institute, Chinese Academy of Sciences
Jiangyuan Zeng;
Aerospace Information Research Institute, Chinese Academy of Sciences
Zhen Li;
Aerospace Information Research Institute, Chinese Academy of Sciences
Kun-shan Chen;
Aerospace Information Research Institute, Chinese Academy of Sciences
Ping Zhang;
Aerospace Information Research Institute, Chinese Academy of Sciences
TU2.R9.11:
COMPARISON OF ASCAT ESTIMATED SNOW THICKNESS ON FIRST-YEAR SEA ICE IN THE CANADIAN ARCTIC WITH MODELED AND PASSIVE MICROWAVE DATA
John Yackel;
University of Calgary
Torsten Geldsetzer;
University of Calgary
Mallik Mahmud;
University of Calgary
Vishnu Nandan;
University of Manitoba
Rory Armstrong;
University of Calgary
David Barber;
University of Manitoba
Mark Christopher Fuller;
University of Calgary