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		Sea ice and snow 
		thickness retrieval using correlation function in VHF radar 
		
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		Summary 
		In this project, we 
		develop models for electromagnetic wave propagation through multi-layer 
		sea ice media.  Based on the models, we calculate the angular and 
		frequency correlation function (ACF/FCF) of the backscattered waves at 
		the desired frequencies and angles.  The characteristics of the ACF/FCF 
		are investigated, leading to the retrieval of sea ice thickness and 
		snow-cover characteristics.  We develop a model for VHF which will be 
		used to investigate sea ice and we study a model for higher frequency 
		(C, Ku, K band) that can be applied to snow-cover characteristics.  We 
		also perform proof-of-concept experiment on retrieval of material 
		thickness based on this ACF/FCF method.   
		     
		  
		Concept of ACF/FCF VHF 
		sensors                          Multi-layer model 
		   
		
		  
  
		
		Experimental set up schematic and photo 
		  
		  
		Related publications 
		
			- S. Jaruwatanadilok, R. S. 
			Eriksen , and Y. Kuga, "Medium 
			Thickness Estimation Technique Based on Angular-Frequency 
			Correlation Function,"  submitted for publication in IEEE 
			Transactions on Antennas and Propagation, 2006. 
 
			- S. Jaruwatanadilok, Y. Kuga, A. 
			Ishimaru, and Z. Hussien, "Snow 
			Sensing Based on Two-Frequency Radiative Transfer Theory," 
			URSI - APS, Washington, DC, July 3-8, 2005.
 
			- R. Eriksen, Y. Kuga,  S. 
			Jaruwatanadilok, and A. Ishimaru, "Experimental 
			verification of the medium thickness estimation technique based on 
			frequency- and angular-correlation functions," URSI - APS, 
			Washington, DC, July 3-8, 2005.
 
			- S. Jaruwatanadilok, A. Ishimaru, 
			 and Y. Kuga, "Snow 
			thickness estimation using correlation function at C-band," 
			IGARSS, Anchorage, AK, September 20-24 2004.
 
			- Z. Hussein, Y. Kuga, A. 
			Ishimaru, S. Jaruwatanadilok, and K. Pak, "Angular 
			and frequency correlation for sea-ice thickness retrieval," 
			IGARSS, Anchorage, AK, September 20-24 2004.
 
		 
		  
		  
		  
		Sponsored by Jet Propulsion 
		Laboratory 
		  
		
		
		  
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