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Relating polarization phase difference of SAR signals to scene propertiesThis paper examines the statistical behavior of the phase difference Delta-phi between the HH-polarized and VV-polarized backscattered signals recorded by an L-band SAR over an agricultural test site in Illinois. Polarization-phase difference distributions were generated for about 200 agricultural fields for which ground information had been acquired in conjunction with the SAR mission. For the overwhelming majority of cases, the Delta-phi distribution is symmetric and has a single major lobe centered at the mean value of the distribution Delta-phi. Whereas the mean Delta-phi was found to be close to zero degrees for bare soil, cut vegetation, alfalfa, soybeans, and clover, a different pattern was observed for the corn fields; the mean Delta-phi increased with increasing incidence angle Theta = 35 deg. The explanation proposed for this variation is that the corn canopy, most of whose mass is contained in its vertical stalks, acts like a uniaxial crystal characterized by different velocities of propagation for waves with horizontal and vertical polarization. Thus, it is hypothesized that the observed backscatter is contributed by a combination of propagation delay, forward scatter by the soil surface, and specular bistatic reflection by the stalks. Model calculations based on this assumption were found to be in general agreement with the phase observations.
Document ID
19870044139
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Ulaby, Fawwaz T.
(Michigan Univ. Ann Arbor, MI, United States)
Dobson, Myron C.
(Michigan Univ. Ann Arbor, MI, United States)
Mcdonald, Kyle C.
(Michigan Univ. Ann Arbor, MI, United States)
Senior, Thomas B. A.
(Michigan, University Ann Arbor, United States)
Held, Daniel
(California Institute of Technology Jet Propulsion Laboratory, Pasadena, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1987
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Volume: GE-25
ISSN: 0196-2892
Subject Category
Earth Resources And Remote Sensing
Accession Number
87A31413
Distribution Limits
Public
Copyright
Other

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