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- W1627461018 abstract "Currently SAR-based sea ice thickness charts are processed and delivered operationally at The Finnish Institute of Marine Research (FIMR) soon after receiving the data. Both Radarsat-1 and Envisat ASAR based products are available (also available at http://polarview.fimr.fi). These products are based on wide swath SAR data (consisting of multiple SAR beams) covering sea areas suitable for operational use. These level ice charts are automatically derived from man-made ice thickness charts using novel SAR information [1]. However, from the point of view of winter shipping it is of uttermost importance to be able to locate highly deformed ice areas based on a SAR image. We are currently investigating methods to automatically incorporate this information with ice thickness charts. Here we report on an approach to estimate ice thickness distributions over large ice fields. The critical point in the proposed approach is to establish a statistical relationships between the C-band SAR measurements and helicopter-borne electromagnetic induction sensor (EM) based ice thickness measurements. Because the winter season in the Baltic Season is relatively short, in maximum 4-6 months depending on the location and local weather conditions during the winter, the thermodymical growth of ice thickness mostly remains under 50 cm. Thick ice areas are results of mechanical ice deformation, rafting and ridging. Particularly the latter event causes an essential increase in the ice surface roughness. Because the surface backscattering is the dominating backscattering mechanism at C-band [2], this leads to a strong correlation between the ice thickness and the magnitude of the backscattering coefficient 0 . However, as shown, e.g. in [3], the relation between the degree of ridging and the strength of backscattering intensity is unambigious due to many factors. The 0 -values measured over rough level ice and ridged ice fields overlap each other significantly." @default.
- W1627461018 created "2016-06-24" @default.
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- W1627461018 date "2006-04-01" @default.
- W1627461018 modified "2023-09-26" @default.
- W1627461018 title "Inferring the Degree of Ice Field Deformation in the Baltic Sea Using Envisat ASAR Images" @default.
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