DocumentCode
297655
Title
Modeling wetland vegetation using polarimetric SAR
Author
Slatton, K. Clint ; Crawford, Melha M. ; Gibeaut, J.C. ; Gutierrez, Roberto
Author_Institution
Center for Space Res., Texas Univ., Austin, TX, USA
Volume
1
fYear
1996
fDate
27-31 May 1996
Firstpage
263
Abstract
Airborne polarimetric synthetic aperture radar (SAR) data are investigated for their potential in mapping herbaceous coastal wetlands. The subenvironments of coastal wetlands have very distinct vegetation cover and surface properties. Qualitative analysis of the SAR images reveals the relative importance of surface and vegetation scatter in these subenvironments. Furthermore, sampled SAR data distinctly separate the subenvironments, indicating that classification techniques could be used to discriminate among them. Although wetland environments are typically too vegetated to use empirical surface models to explain the SAR return, discrete scatterer models can be used to account for the scattering due to the vegetation. A discrete scatterer model fitted to a coastal wetland site on Bolivar Peninsula near Galveston, Texas provides insight into the dominant scattering mechanisms, and may aid in the accurate mapping of coastal wetlands
Keywords
backscatter; geophysical techniques; hydrological techniques; hydrology; radar cross-sections; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; Bolivar Peninsula; Galveston; Texas; USA; United States; discrete scatterer model; herbaceous coastal wetlands; hydrology; image classification; land surface; polarimetric SAR; radar imaging; radar polarimetry; radar remote sensing; radar scattering; subenvironment; synthetic aperture radar; terrain mapping; vegetation mapping; wetland vegetation; Environmental economics; Geology; Radar scattering; Rough surfaces; Sea measurements; Soil moisture; Surface roughness; Surface topography; Synthetic aperture radar; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location
Lincoln, NE
Print_ISBN
0-7803-3068-4
Type
conf
DOI
10.1109/IGARSS.1996.516311
Filename
516311
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