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The application of dielectric retrieval algorithms for mapping soil salinity in a tropical coastal environment using airborne polarimetric SAR

Bell, Darren, Menges, C, Ahmad, W and van Zyl, JJ (2001). The application of dielectric retrieval algorithms for mapping soil salinity in a tropical coastal environment using airborne polarimetric SAR. Remote Sensing of Environment,75(3):375-384.

Document type: Journal Article
Citation counts: Scopus Citation Count Cited 18 times in Scopus Article | Citations

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Title The application of dielectric retrieval algorithms for mapping soil salinity in a tropical coastal environment using airborne polarimetric SAR
Author Bell, Darren
Menges, C
Ahmad, W
van Zyl, JJ
Journal Name Remote Sensing of Environment
Publication Date 2001
Volume Number 75
Issue Number 3
ISSN 0034-4257   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-0035740417
Start Page 375
End Page 384
Total Pages 10
Place of Publication New York
Publisher Elsevier Science
Field of Research 0406 - Physical Geography and Environmental Geoscience
0499 - Other Earth Sciences
0909 - Geomatic Engineering
HERDC Category C1 - Journal Article (DEST)
Abstract The Alligator River Region of the Northern Territory, Australia, is identified as a region particularly susceptible to saltwater intrusion into systems dominated by freshwater processes. Attempts have been made by the Parks and Wildlife Commission of the NT to restrict the intrusion by creating physical earth barrages. In this study the use of Airborne Polarimetric Synthetic Aperture Radar for mapping soil salinity is examined. Three dielectric retrieval algorithms, the Small Perturbation, Physical Optics, and Dubois models have been implemented, and the results of these were combined to retrieve an improved estimate of the magnitude of the imaginary part of the complex dielectric constant for soil salinity discrimination. An efficient data selection process was employed to allow application of these models in this natural environment. Vegetation correction to the small perturbation and physical optics models before combination with the Dubois model improved classification accuracy in the semivegetated areas.
Keywords moisture estimation
surface-roughness
bare soil
microwave
backscatter
model
DOI http://dx.doi.org/10.1016/S0034-4257(00)00180-2   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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