FR3.R2.4
DENSE SEA ICE DRIFT TRACKING USING DEEP-LEARNING FEATURES AND PHASE-CORRELATION FROM SENTINEL-1 C-BAND AND NISAR L-BAND SAR IMAGERY
Denis Demchev, Benjamin Holt, Jet Propulsion Laboratory, California Institute of Technology, United States
Session:
FR3.R2: Sea Ice Motion Oral
Track:
Cryosphere
Location:
TBD
Presentation Time:
Fri, 14 Aug, 14:30 - 14:45
Presentation
Discussion
Resources
No resources available.
Session FR3.R2
FR3.R2.1: UNLOCKING THE TEMPORAL SIGNATURE OF ANTARCTIC COASTAL ICE: MACHINE LEARNING-BASED FORECASTING OF FAST ICE DYNAMICS IN THE TERRA NOVA BAY
Seung Hee Kim, Korea Polar Research Institute, Korea (South); Changhyun Choi, Seoul National University, Korea (South); Hyangsun Han, Kangwon National University, Korea (South); Sanghee Kim, Korea Polar Research Institute, Korea (South)
FR3.R2.2: DIFFERENTIATING SEA ICE PROPERTIES USING COINCIDENT OBSERVATIONS
Jordan Tucker, Dustin Schroeder, Earle Wilson, Stanford University, United States
FR3.R2.3: FLOE BY FLOE APPROACH FOR SEA ICE DRIFT FINE SCALE ESTIMATION
Laura Orgambide, Flora Weissgerber, Frederic Champagnat, ONERA, France; Sara Fleury, CNRS, France; Carlos Yanez, CNES, France
FR3.R2.4: DENSE SEA ICE DRIFT TRACKING USING DEEP-LEARNING FEATURES AND PHASE-CORRELATION FROM SENTINEL-1 C-BAND AND NISAR L-BAND SAR IMAGERY
Denis Demchev, Benjamin Holt, Jet Propulsion Laboratory, California Institute of Technology, United States
FR3.R2.5: NISAR SEA ICE MOTION VALIDATION: PRELIMINARY RESULTS
Benjamin Holt, Jet Propulsion Laboratory, California Institute of Technology, United States
Contacts