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X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring

机译:北极新形成的海冰的X,C和L波段saR特征在冬季和春季引导

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摘要

We examine an extensive synthetic aperture radar (SAR) data set from the Arctic Ocean spanning a time periodfrom January to June 2015, with the aim of identifying multi-polarization parameters that can be used toaccurately separate newly formed sea ice from the surroundings. Newly formed sea ice areas both providefavourable routing for ship traffic, and are key to Arctic climate science because they enable heat exchangebetween the ocean and the atmosphere. Our data set encompasses three different frequencies, X-, C- and L-band,at a range of incidence angles, and were acquired under different environmental conditions. Our results suggestthat by combining the scattering entropy and the co-polarization ratio we can successfully separate the newlyformed sea ice from open water and thicker sea ice within all three frequencies throughout the winter and springseason. We observe a high correlation between scattering entropy values calculated using quad-polarization CandL-band data and scattering entropy values calculated using the same scenes reduced to the co-polarizationchannels (HH and VV). We therefore conclude that dual-polarization (HH and VV) X-band scenes can be directlyused to complement quad-polarimetric C- and L-band scenes for studies of newly formed sea ice. To confine thequad-polarimetric data sets to their co-polarization channels one can ensure a higher signal-to-noise ratio.Incidence angles below 35° are needed to keep the signal-to-noise ratios sufficiently high for the scatteringentropy and co-polarization ratio. Due to its lack of incidence angle dependency, the polarization difference canprovide additional support in newly formed sea ice studies. The regular coverage of the Arctic Ocean with CbandSAR means that such scenes should to be included in any automatic monitoring, however, X- and L-bandSAR can, based on their difference in penetration depth, provide additional information about newly formed seaice types and surface structure.
机译:我们研究了北冰洋从2015年1月到2015年6月这段时间的广泛合成孔径雷达(SAR)数据集,目的是确定可用于将新形成的海冰与周围环境准确分离的多极化参数。新近形成的海冰区既为船舶交通提供了便利的路线,又是北极气候科学的关键,因为它们可以实现海洋与大气之间的热交换。我们的数据集在一定的入射角范围内包含三个不同的频率,即X波段,C波段和L波段,并且是在不同的环境条件下获得的。我们的结果表明,通过结合散射熵和同极化比率,我们可以成功地在整个冬季和春季的三个频率内,将新形成的海冰与开放水域和较厚的海冰区分开。我们观察到使用四极化CandL波段数据计算的散射熵值与使用减少到共极化通道(HH和VV)的相同场景计算的散射熵值之间存在高度相关性。因此,我们得出结论,可以将双极化(HH和VV)X波段场景直接用于补充四极化C波段和L波段场景,以研究新形成的海冰。要将四极化数据集限制在它们的同极化通道中,可以确保更高的信噪比,入射角必须低于35°,以保持信噪比足够高,以实现散射熵和共极化比。由于缺乏入射角依赖性,极化差可以为新近形成的海冰研究提供额外的支持。使用CbandSAR定期覆盖北冰洋意味着在任何自动监视中都应包括此类场景,但是X波段和L波段SAR可以根据其穿透深度的差异提供有关新形成的海冰类型和表面的其他信息结构体。

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