The optimal polarizations for achieving maximum contrast in radar images [PDF]
There is considerable interest in determining the optimal polarizations that maximize contrast between two scattering classes in polarimetric radar images.
Kong, J. A. +4 more
core +1 more source
Multi-Annual Evaluation of Time Series of Sentinel-1 Interferometric Coherence as a Tool for Crop Monitoring. [PDF]
Sensors (Basel), 2023 Villarroya-Carpio A, Lopez-Sanchez JM.
europepmc +1 more source
Gamma Drop Size Distribution Assumptions in Bulk Model Parameterizations and Radar Polarimetry and Their Impact on Polarimetric Radar Moments [PDF]
, 2019 Katharina Schinagl +3 more
openalex +1 more source
Canadian Journal of Remote SensingThe RADARSAT Constellation Mission (RCM) performance evaluation is currently in progress for core Synthetic Aperture Radar (SAR) applications. This study aims to investigate the retrieval of Soil Moisture Content (SMC) in bare soil with RCM compact ...
Mohammed Dabboor +6 more
doaj +1 more source
Five years calibrated observations from the University of Bonn X-band weather radar (BoXPol). [PDF]
Sci Data, 2022 Pejcic V +4 more
europepmc +1 more source
Peering into the heart of thunderstorm clouds: insights from cloud radar and spectral polarimetry
Ho Yi Lydia Mak, Christine Unal
openalex +2 more sources
VenSAR: A multi-functional S-band radar for the EnVision mission to Venus
, 2015 The EnVision science case requires an instrument capable of providing global stereo images at 10-50 m resolution, phase information from at least 20% of the surface for interferometry, as well as the ability to provide 1-10 m resolution images of ...
Ghail, RC, Hall, D
core
Four Stokes parameter radio frequency polarimetry of a flare from AD Leonis [PDF]
Observations of the four Stokes parameters of a 430 MHz flare from the UV Ceti-type star AD Leonis are presented. The maximum amplitude of the event was 0.52 flux units and the durations at one-half and one-tenth maximum were 12 and 40 seconds ...
Rankin, J. M. +2 more
core +1 more source
Automotive Radar Range Spectrum-Based Road Surface Classification by Using Machine Learning. [PDF]
Sensors (Basel)Dominic H, Patzer M, Harter M.
europepmc +1 more source