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Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery

机译:基于双极化Sentinel-1 SAR图像的北极陆地抗冰覆冰估计

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Here a method for estimating the land-fast ice (LFI) extent from dual-polarized Sentinel-1 SAR mosaics of an Arctic study area over the Kara and Barents seas is presented. The method is based on temporal cross-correlation between adjacent daily SAR mosaics. The results are compared to the LFI of the Russian Arctic and Antarctic Research Institute (AARI) ice charts. Two versions of the method were studied: in the first version (FMI-A) the overall performance was optimized, and in the second version (FMI-B) the target was a low LFI misdetection rate. FMI-A detected over 73?% of the AARI ice chart LFI, and FMI-B a little over 50?% of the AARI ice chart LFI. During the winter months the detection rates were higher than during the melt-down season for both the studied algorithm versions. An LFI time series covering the time period from October 2015 to the end of August 2017 computed using the proposed methodology is provided on the FMI ftp server. The time series will be extended twice annually.
机译:本文介绍了一种方法,该方法用于根据Kara和Barents海域北极研究区的双极化Sentinel-1 SAR镶嵌图估算陆地抗冰(LFI)程度。该方法基于相邻的每日SAR镶嵌图之间的时间互相关。将结果与俄罗斯北极和南极研究所(AARI)冰图的LFI相比较。研究了该方法的两个版本:在第一个版本(FMI-A)中,优化了总体性能;在第二个版本(FMI-B)中,目标是低LFI误检率。 FMI-A检测到超过AARI冰图LFI的73%,FMI-B检测到超过AARI冰图LFI的50%。在冬季,两种算法版本的检出率均高于融化季节。 FMI ftp服务器上提供了使用建议的方法计算的涵盖从2015年10月到2017年8月底的LFI时间序列。时间序列将每年延长两次。

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