Accession Number:

ADA330060

Title:

SAR Remote Sensing Algorithms for Automated Extraction of Sea Ice Ridges and Leads.

Descriptive Note:

Final technical rept. 26 Aug 92-25 Aug 95,

Corporate Author:

MICHIGAN UNIV ANN ARBOR DEPT OF ATMOSPHERIC AND OCEANIC SCIENCE

Personal Author(s):

Report Date:

1997-08-01

Pagination or Media Count:

56.0

Abstract:

Sea ice is of fundamental importance in weather, climate and other geophysical processes. It is also an important factor for naval operations in the polar regions, in particular regarding transport of personnel and material in regions where sea ice is likely to be found and assessment and prediction of acoustic environments in polar regions. Ridges and keels in sea ice are important because they provide a rougher surface and thus a higher drag coefficient for both atmospheric winds and ocean currents. This impacts sea ice motion. In addition ridges and keels can impact travel on the ice and operations under the ice since they constitute barriers to easy surface travel over the ice and a hazard to operations in the water column just under the surface. Because sea ice has a large geographic extent and short time scale for variability synthetic aperture radar SAR is a valuable technique in studying sea ice, particularly since images can be collected through clouds and at night. SAR information on sea ice is available from several satellites ERS-1 2, JERS-1 and Radarsat. Automated interpretation techniques are required because of the large number and high information content of the SAR images becoming available. Here we report research on automated-computer- based techniques for such interpretation. The general problem that we face is to extract geophysical information from one or more SAR images. The work reported here concerns automated extraction of ridges and leads in sea ice. This amounts to segmentation of a sea ice surface into ice, ridges and leads. The principle approach under this grant is to use genetic algorithms to implement the segmentation.

Subject Categories:

  • Geology, Geochemistry and Mineralogy
  • Snow, Ice and Permafrost

Distribution Statement:

APPROVED FOR PUBLIC RELEASE