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Baltic Sea Ice Concentration Estimation Based on C-Band HH-Polarized SAR Data

机译:基于C波段HH极化SAR数据的波罗的海海冰浓度估算

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摘要

Ice concentration measurements are important information e.g., for navigation, ice modeling, and climate change research. Here we present an algorithm for estimating ice concentration from C-band SAR data. The resolution of SAR data is significantly higher than the resolution of the current operational ice concentration products based on radiometer data. Our algorithm is based on segment-wise autocorrelation distributions. The algorithm results were compared with two reference data sets: ice concentrations from the Finnish Ice Service (FIS) ice charts, and ice concentrations from the radiometer-based operational ice concentration algorithm of University of Bremen. The new algorithm gives reasonable ice concentration estimates in a high resolution (500 m) for an arbitrary segmentation.
机译:冰浓度测量是重要的信息,例如,对于导航,冰建模和气候变化研究。在这里,我们提出了一种从C波段SAR数据估算冰浓度的算法。 SAR数据的分辨率明显高于基于辐射计数据的当前运行的冰浓度产品的分辨率。我们的算法基于分段智能自相关分布。将算法结果与两个参考数据集进行了比较:来自芬兰冰服务局(FIS)冰图的冰浓度和来自不来梅大学基于辐射计的运行冰浓度算法的冰浓度。对于任意分段,新算法可在高分辨率(500 m)中给出合理的冰浓度估计值。

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