Sea ice identification using dual-polarized Ku-band scatterometer data

This paper describes a classification algorithm using dual-polarized scatterometer measurements to identify the edge of the sea ice cover, The distinct polarization scattering signatures of sea ice and open water are discussed and illustrated with the dual-polarized radar measurements from the Seasat-A scatterometer (SASS), The analysis of SASS data suggests that the ratio of vertical and horizontal polarization backscatter, denoted as the copol ratio, is a useful discriminator of sea ice and open ocean, A simple classification algorithm using the thresholds of the copol ratio and backscatter levels is proposed, The feasibility of this algorithm is demonstrated using the SASS data from the single-sided, dual-polarization mode, The results indicate that the dual-polarized measurements from the NASA scatterometer (NSCAT) can be used to produce routine maps of sea ice edges.