FR2.R16.1
APPLICATION OF MULTI-SENSOR SENTINEL DATA FOR VEGETATION CORRECTION IN GNSS-R MEASUREMENTS FROM UAV PLATFORMS
Sriman Bidhan Baray, University of Georgia, United States; Ali Gurbuz, North Carolina State University, United States; Mehmet Kurum, University of Georgia, United States
Session:
FR2.R16: Soils: Remote Sensing of Soil Moisture using GNSS-R III Oral
Track:
Land Applications
Location:
TBD
Presentation Time:
Fri, 14 Aug, 11:00 - 11:15
Presentation
Discussion
Resources
No resources available.
Session FR2.R16
FR2.R16.1: APPLICATION OF MULTI-SENSOR SENTINEL DATA FOR VEGETATION CORRECTION IN GNSS-R MEASUREMENTS FROM UAV PLATFORMS
Sriman Bidhan Baray, University of Georgia, United States; Ali Gurbuz, North Carolina State University, United States; Mehmet Kurum, University of Georgia, United States
FR2.R16.2: Assimilation of GNSS-R Observables into a one-dimensional Hydrological Model for Root Zone Soil Moisture Estimation
Kevin Shi, James Garrison, Hassan Dashtian, Dev Niyogi, Purdue University, United States
FR2.R16.3: ALTITUDE EFFECTS ON A UAS-BASED SIGNALS-OF-OPPORTUNITY REFLECTOMETRY SYSTEM
Tanvir Anjum, University of Georgia, United States; Ali Gurbuz, North Carolina State University, United States; Mehmet Kurum, University of Georgia, United States
FR2.R16.4: USAGE OF REFLECTED GNSS SIGNAL-BASED SMART CIRCULAR PIVOT IRRIGATION SYSTEM
Md Ebtidaul Karim, John E. Ball, Volkan Senyurek, Mississippi State University, United States
FR2.R16.5: Bayesian Soil Moisture Retrieval from CyGNSS Using Dynamic Temporal Priors
Javier Arellana, Institute of Astronomy and Space Physics, Argentina
Contacts