DocumentCode
2853665
Title
Low Back-scattering Bands Paralleling Pressure Ridges on First Year Sea-Ice
Author
Hudier, Eric
Author_Institution
Dept. of Math., Inf. & Eng. Univ. of Quebec Rimouski, Rimouski, QC
fYear
2006
fDate
July 31 2006-Aug. 4 2006
Firstpage
731
Lastpage
734
Abstract
Sea ice roughness characteristics are important parameters of climate and ocean circulation models. Pressure ridges are large features which size, orientation and density have a major impact on heat and momentum fluxes. Extraction of these information from satellite images is a necessary step since it could allow to introduce these parameter´s variability into models. In this paper we explore the occurrence of linear structures of low back-scattering which had previously been observed alongside pressure ridges on satellite images recorded late at spring. Measurements described in this research paper were carried out offshore of Kuujjuarapik on the East coast of the Hudson Bay. The ice sheet is composed of a first year ice ranging from lm25 to lm55 in thickness. Data were collected from mid-April to mid-May which covers the melt initiation period for this region of the bay. Measurement sites were chosen to sample a range of ridge orientations relative to the SAR incident beam. Selection criteria were set to get ridges that display homogeneity of the snow field along their axis. Data from 4 field works are presented. We show a correlation between low return bands and snow structure slopes that develop downwind of pressure ridges. Also, we discuss the impact of the snow wetness content on image resolution.
Keywords
oceanographic techniques; remote sensing by radar; sea ice; synthetic aperture radar; Hudson Bay; Kuujjuarapik; SAR incident beam; backscattering bands; climate; heat fluxes; momentum fluxes; ocean circulation models; pressure ridges; sea ice roughness; Data mining; Displays; Ice thickness; Image resolution; Oceans; Satellites; Sea ice; Sea measurements; Snow; Springs;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location
Denver, CO
Print_ISBN
0-7803-9510-7
Type
conf
DOI
10.1109/IGARSS.2006.188
Filename
4241335
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