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

机译:利用双极化Ku波段散射仪数据识别海冰

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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 extents.
机译:描述了一种使用双极化散射仪测量来识别海冰覆盖边缘的分类算法。通过Seasat-A散射仪(SASS)的双极化雷达测量,讨论并说明了海冰和开阔水域的独特极化散射特征。对SASS数据的分析表明,垂直偏振极化散射和水平偏振散射的比率(称为copol比率)是区分海冰和远洋的有用方法。提出了一种使用copol比率和反向散射水平阈值的简单分类算法。使用来自单面,双极化模式的SASS数据证明了该算法的可行性。结果表明,来自NASA散射仪(NSCAT)的双极化测量结果可用于生成海冰范围的常规地图。

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