DocumentCode :
291667
Title :
Backscattering from sea ice with vertical structural variation: a model analysis
Author :
Tjuatja, Saibun ; Fung, Adrian K.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
Volume :
3
fYear :
1994
fDate :
8-12 Aug 1994
Firstpage :
1294
Abstract :
Based on the matrix doubling method, a sea ice scattering model which accounts for the effects of vertical structural variation is developed. The sea ice layer is modeled as many sublayers with different physical characteristic determined by the vertical structural variation profile. Each sublayer is assumed to be statistically homogeneous. In addition to the effects of vertical structural variation, the developed sea ice scattering model also accounts for the effects of scatterer close spacing and rough top and bottom layer boundaries. Model verification has been carried out using measurements from well characterized sea ice. Preliminary model analyses are carried out for saline and desalinated ice. In the saline ice case, better salinity profile sensitivity is observed at 5 GHz than at 10 GHz. On the desalinated ice case where the scatterers are air bubbles, the sublayer with larger scatterers dominates the back scattering level even though its thickness is less than 1/10 of the signal penetration depth
Keywords :
S-matrix theory; backscatter; oceanographic techniques; radar applications; radar cross-sections; radar imaging; radar theory; remote sensing; remote sensing by radar; sea ice; 10 GHz; 5 GHz; S-matrix; SHF microwave; backscatter model; backscattering; desalinated ice; matrix doubling method; measurement technique; ocean; radar remote sensing; radar scattering; saline ice; scattering matrix; sea ice; sea surface; sublayer; vertical profile; vertical structure; Arctic; Backscatter; Desalination; Geometry; Ice thickness; Scattering; Sea ice; Sea measurements; Solid modeling; Strontium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
Type :
conf
DOI :
10.1109/IGARSS.1994.399420
Filename :
399420
Link To Document :
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