DocumentCode :
1024194
Title :
Multipolarization Radar Images for Geologic Mapping and Vegetation Discrimination
Author :
Evans, Diane L. ; Farr, Tom G. ; Ford, J.P. ; Thompson, Thomas W. ; Werner, C.L.
Author_Institution :
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109
Issue :
2
fYear :
1986
fDate :
3/1/1986 12:00:00 AM
Firstpage :
246
Lastpage :
257
Abstract :
The NASA/JPL airborne synthetic aperture radar system produces radar image data simultaneously in four linear polarizations (HH, VV, VH, HV) at 24.6-cm wavelength (L-band), with 10-m resolution, across a swath width of approximately 10 km. The signal data are recorded optically and digitally and annotated in each of the channels to facilitate a completely automated digital correlation. Both standard amplitude, and also phase difference images are produced in the correlation process. Individual polarization and range-dependent gain functions improve the effective dynamic range, but as yet do not permit absolute quantitative measurements of the scattering coefficients. However, comparison of the relative intensities of the different polarizations in individual black-and-white and color composite images provides discriminatory mapping information. In the Death Valley, California, area, rough surfaces of young alluvial deposits produce strong responses at all polarizations. Smoother surfaces of older alluvial deposits show significantly lower responses. Evaporite deposits of different types and moisture contents have distinct polarization signatures. In the Wind River Basin, Wyoming, sedimentary rock units show polarization responses that relate to differences in weathering. Local intensity variations in like-polarization images result from topographic effects; strong cross-polarization responses denote the effects of vegetation cover and, in some cases, possible scattering from the subsurface. In the Savannah River Plant, South Carolina, forest cover characteristics are discriminated by polarization responses that reflect the density and structure of the canopy, and the presence or absence of standing water beneath the canopy.
Keywords :
Geology; Optical polarization; Optical scattering; Optical surface waves; Radar imaging; Radar scattering; Rough surfaces; Surface roughness; Surface topography; Vegetation mapping;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.1986.289644
Filename :
4072451
Link To Document :
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