F3.3
Dual Frequency Improvements to the Time-Series Ratio algorithm for Soil Moisture Retrievals in the SMEX02 Campaign
Dustin Horton, Joel Johnson, Mohammad Al-Khaldi, The Ohio State University, United States; Jeonghwan Park, Rajat Bindlish, NASA Goddard Space Flight Center, United States
Session:
F3: Radar and Radiometer Remote Sensing Technology and Applications Lecture
Track:
Commission F: Wave Propagation and Remote Sensing
Location:
Room 150
Presentation Time:
Thu, 9 Jan, 16:10 - 16:30 MT (UTC -7)
Session Chair:
Mehmet Ogut, Jet Propulsion Laboratory
Presentation
Discussion
Resources
No resources available.
Session F3
F3.1: SDR-Based S-Band Radiometer for UAS Platforms with Spectrum Monitoring and Dynamic Allocation
Kaies Al Mahmud, Mehmet Kurum, University of Georgia, United States
F3.2: A GNSS-T and LiDAR Fusion Approach to Generate Large Scale Vegetation Optical Depth Map
Abesh Ghosh, Mehmet Kurum, University of Georgia, United States
F3.3: Dual Frequency Improvements to the Time-Series Ratio algorithm for Soil Moisture Retrievals in the SMEX02 Campaign
Dustin Horton, Joel Johnson, Mohammad Al-Khaldi, The Ohio State University, United States; Jeonghwan Park, Rajat Bindlish, NASA Goddard Space Flight Center, United States
F3.4: RF-Photonic Ultra-Wideband Instrument For Planetary Boundary Layer Sensing
Mehmet Ogut, Shannon Brown, Sidharth Misra, Eric Kittlaus, Pekka Kangaslahti, Jet Propulsion Laboratory, United States; Janusz Murakowski, Phase Sensitive Innovations, United States; Michael Gehl, Sandia National Laboratories, United States
F3.5: V-band 2SQCC digital correlating spectrometer – Prototype development and preliminary test results
Aravind Venkitasubramony, Albin Gasiewski, University of Colorado at Boulder, United States
Contacts