MO3.P2.3
A CNN-BASED APPROACH FOR UNDERSTANDING SAR BACKSCATTERING OF BARE SOIL
Kamal Marandskiy, Transilvania University of Brasov, Romania; Lorenzo G. Papale, University of Rome Tor Vergata, Italy; Mihai Ivanovici, Transilvania University of Brasov, Romania; Fabio Del Frate, University of Rome Tor Vergata, Italy
Session:
MO3.P2: RS for Soil Moisture: Active Microwave Models and Retrievals Oral
Track:
Land Applications
Location:
Plaza: Room P2
Presentation Time:
Monday, 4 August, 13:30 - 13:45
Session Chair:
Jasmeet Judge, University of Florida
Session MO3.P2
MO3.P2.1: Preliminary NISAR Soil Moisture Retrievals with a Time-Series Ratio method
Jeonghwan Park, Rajat Bindlish, NASA GSFC, United States; Dustin Horton, Mohammad Al-Khaldi, Joel Johnson, The Ohio State University, United States
MO3.P2.2: IMPROVEMENTS TO THE TIME-SERIES RATIO METHOD FOR SOIL MOISTURE RETRIEVAL USING DUAL FREQUENCY MEASUREMENTS
Dustin Horton, Joel Johnson, Mohammad Al-Khaldi, The Ohio State University, United States; Jeonghwan Park, Rajat Bindlish, NASA Goddard Space Flight Center, United States; Thomas Jagdhuber, Ismail Baris, German Aerospace Center, Germany
MO3.P2.3: A CNN-BASED APPROACH FOR UNDERSTANDING SAR BACKSCATTERING OF BARE SOIL
Kamal Marandskiy, Transilvania University of Brasov, Romania; Lorenzo G. Papale, University of Rome Tor Vergata, Italy; Mihai Ivanovici, Transilvania University of Brasov, Romania; Fabio Del Frate, University of Rome Tor Vergata, Italy
MO3.P2.4: DIELECTRIC CHANGES IN SOIL AND VEGETATION DRIVING RADAR BACKSCATTERING OVER SHRUBLANDS AND FORESTS FOR SOIL MOISTURE RETRIEVAL
seungbum kim, NASA Jet Propulsion Lab, United States; mehmet kurum, Univ Georgia, United States; Motofumi arii, Mitsubishi Electric Corporation, Japan; xiaolan xu, andreas colliander, NASA Jet Propulsion Lab, United States
MO3.P2.5: STANDALONE SOIL MOISTURE RETRIEVAL USING L-BAND SAR SYNTHETIC SIMULATIONS
Lilangi Wijesinghe, Dongryeol Ryu, Andrew W. Western, Jagannath Aryal, The University of Melbourne, Australia
Resources