首页> 外文期刊>Journal of Glaciology >Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: a case study of Yazgyl Glacier
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Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: a case study of Yazgyl Glacier

机译:使用来自X-,C-和L波段雷达数据的insar连贯性自动描绘碎片覆盖的冰川:yazgyl冰川的案例研究

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Despite their importance for mass-balance estimates and the progress in techniques based on optical and thermal satellite imagery, the mapping of debris-covered glacier boundaries remains a challenging task. Manual corrections hamper regular updates. In this study, we present an automatic approach to delineate glacier outlines using interferometrically derived synthetic aperture radar (InSAR) coherence, slope and morphological operations. InSAR coherence detects the temporally decorrelated surface (e.g. glacial extent) irrespective of its surface type and separates it from the highly coherent surrounding areas. We tested the impact of different processing settings, for example resolution, coherence window size and topographic phase removal, on the quality of the generated outlines. We found minor influence of the topographic phase, but a combination of strong multi-looking during interferogram generation and additional averaging during coherence estimation strongly deteriorated the coherence at the glacier edges. We analysed the performance of X-, C- and L- band radar data. The C-band Sentinel-1 data outlined the glacier boundary with the least misclassifications and a type II error of 0.47% compared with Global Land Ice Measurements from Space inventory data. Our study shows the potential of the Sentinel-1 mission together with our automatic processing chain to provide regular updates for land-terminating glaciers on a large scale.
机译:尽管对大规模余额估计和基于光学和热卫星图像的技术进展至关重要,但杂物覆盖的冰川边界的映射仍然是一个具有挑战性的任务。手动更正妨碍定期更新。在这项研究中,我们介绍了使用干涉衍生的合成孔径雷达(INSAR)相干,坡度和形态学操作来描绘冰川轮廓的自动方法。 Insar相干性检测时间上脱钩的表面(例如冰川范围),而不管其表面类型,并将其与高度相干的周边区域分开。我们测试了不同处理设置的影响,例如分辨率,一致性窗口大小和地形相移,就生成的轮廓的质量。我们发现了地形阶段的次要影响,但是在相干估计期间的干扰图生成和附加平均期间的强多孔的组合强烈地劣化了冰川边缘的相干性。我们分析了X-,C-和L-带雷达数据的性能。与空间库存数据的全球土地冰测量相比,C波段哨声-1数据概述了与最少的错误分类和0.47%的II型误差为0.47%。我们的研究表明,Sentinel-1的潜力与我们的自动加工链一起,为大规模的土地终端冰川提供定期更新。

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