F1.3
Inverting Soil Moisture from GNSS-R Reflectivity Using a Semi-empirical Model
Jiahua Zhang, Ming Li, John Braun, Jan-Peter Weiss, University Corporation for Atmospheric Research (UCAR), United States
Session:
F1: Signals of Opportunity Bistatic Radar Remote Sensing of the Earth Lecture
Track:
Commission F: Wave Propagation and Remote Sensing
Location:
Room 245
Presentation Time:
Wed, 8 Jan, 14:10 - 14:30 MT (UTC -7)
Session Chair:
Ming Li, University Corporation for Atmospheric Research
Presentation
Discussion
Resources
No resources available.
Session F1
F1.1: A Study on RFI Detection and Mitigation for UAS-based P-band SoOp System
Tanvir Anjum, Mehmet Kurum, University of Georgia, United States
F1.2: The Sea State Sensitivity of GNSS-R Ocean Wind Speed Measurements
Christopher Ruf, University of Michigan, United States; April Warnock, SRI, United States
F1.3: Inverting Soil Moisture from GNSS-R Reflectivity Using a Semi-empirical Model
Jiahua Zhang, Ming Li, John Braun, Jan-Peter Weiss, University Corporation for Atmospheric Research (UCAR), United States
F1.4: Grid Size Optimization for Soil Moisture Estimation Using UAS-based GNSS Reflectometry
Sriman Bidhan Baray, Md Mehedi Farhad, University of Georgia, United States; Volkan Senyurek, Ali Gurbuz, Mississippi State University, United States; Mehmet Kurum, University of Georgia, United States
F1.5: Sensing of Directional Ice Surface Roughness Features with GNSS-Reflectometry
Sophie Anderson, Jade Morton, University of Colorado Boulder, United States; Lauren Andrews, NASA Goddard Spaceflight Center, United States
Contacts