Title : 
Extracting seasonal parameters of sea ice morphology from SAR imagery: size distributions of first-year ice
         
        
            Author : 
Daida, Jason M. ; French, Nancy H F ; Onstott, Robert G. ; Tanis, Fred J. ; Vesecky, John F.
         
        
            Author_Institution : 
Dept. of Atmos., Oceanic & Space Sci., Michigan Univ., Ann Arbor, MI, USA
         
        
        
        
        
        
            Abstract : 
The reported work describes the results of using object-oriented image analysis techniques to study the areal distribution of first-year ice. The authors have examined the region roughly corresponding to 72°N, 140°W, which coincides with the area studied under the LEADEX campaign in the Beaufort Sea gyre. At least 32 ERS-1 images of this location have been analyzed so far, of which 12 are discussed in the paper. The findings suggest the likelihood in identifying a set of equations that can characterize the statistical areal distribution of first-year ice over a large portion of the Arctic. The findings further indicate that this relationship persists throughout the year. The results suggest that although the generation of first-year ice is driven by meteorological systems that result in a significant redistribution of multiyear ice, the statistics that describe the population distribution of first-year ice remain stable in the first order.
         
        
            Keywords : 
geophysical signal processing; object-oriented methods; oceanographic regions; oceanographic techniques; radar imaging; sea ice; spaceborne radar; synthetic aperture radar; Arctic; Beaufort Sea; ERS-1 images; LEADEX campaign; SAR imagery; areal distribution; first-year ice; object-oriented image analysis techniques; population distribution; sea ice morphology; seasonal parameters; size distributions; Arctic; Equations; Image analysis; Meteorology; Morphology; Pixel; Sea ice; Sea measurements; Statistical distributions; Water heating;
         
        
        
        
            Conference_Titel : 
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
         
        
            Print_ISBN : 
0-7803-1497-2
         
        
        
            DOI : 
10.1109/IGARSS.1994.399334