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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

MO1.O-9.5

GLOBAL SURFACE ROUGHNESS EFFECT RETRIEVED FROM CYGNSS

Xiaolan Xu, Rashmi Shah, Simon Yueh, NASA Jet Propulsion Laboratory, United States
Session:
Global Navigation Satellite Systems reflectometry (GNSS-R) and Signals of Opportunity (SoOp) Applications
Track:
Invited Sessions
Presentation Time:
Mon, 12 Jul, 15:30-15:45 (UTC)
Mon, 12 Jul, 17:30-17:45 Central Europe Summer Time (UTC +2)
Mon, 12 Jul, 23:30-23:45 China Standard Time (UTC +8)
Mon, 12 Jul, 11:30-11:45 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Rashmi Shah, Jet Propulsion Laboratory/ California Institute of Technology and Estel Cardellach, Institut de Ciencies de l'Espai (ICE/CSIC-IEEC)
Session Manager:
Gladys Villegas
Presentation
Discussion
Resources
Session MO1.O-9
MO1.O-9.1: GNSS-REFLECTED SIGNALS FOR PERMAFROST MONITORING
Kimmo Rautiainen, Finnish Metereological Institute, Finland; Davide Comite, Sapienza University of Rome, Italy; Juval Cohen, Finnish Metereological Institute, Finland; Martin Unwin, Surrey Satellite Technology Ltd, United Kingdom; Nazzareno Pierdicca, Sapienza University of Rome, Italy
MO1.O-9.3: THE IMPORTANT ROLE OF ANTENNA PATTERN CHARACTERIZATION IN THE ABSOLUTE CALIBRATION OF GNSS-R MEASUREMENTS
Tianlin Wang, Christopher Ruf, University of Michigan, United States; Andrew O'Brien, The Ohio State University, United States; Scott Gleason, University Corporation for Atmospheric Research, United States; Darren McKague, Anthony Russel, University of Michigan, United States
MO1.O-9.4: GNSS-R SOIL MOISTURE RETRIEVAL WITH A DEEP LEARNING APPROACH
T. Maximillian Roberts, Ian Colwell, Rashmi Shah, Stephen Lowe, NASA Jet Propulsion Laboratory, California Institute of Technology, United States; Clara Chew, University Corporation For Atmospheric Research, United States
MO1.O-9.5: GLOBAL SURFACE ROUGHNESS EFFECT RETRIEVED FROM CYGNSS
Xiaolan Xu, Rashmi Shah, Simon Yueh, NASA Jet Propulsion Laboratory, United States
MO1.O-9.6: Retrieval of Root-zone Soil Moisture Profiles from Multi-frequency Signals of Opportunity: A Simulation Study
Seho Kim, James L. Garrison, Purdue University, United States

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