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:尽管它们对质量平衡估计具有重要意义,而且基于光学和热卫星图像的技术也取得了进展,但绘制覆盖碎片的冰川边界图仍然是一项具有挑战性的任务。手动更正会妨碍定期更新。在这项研究中,我们提出了一种利用干涉合成孔径雷达(InSAR)相干、坡度和形态学操作自动描绘冰川轮廓的方法。InSAR相干检测时间上不相关的表面(例如冰川范围),而不考虑其表面类型,并将其与高度相干的周围区域分离。我们测试了不同处理设置(例如分辨率、相干窗口大小和地形相位去除)对生成轮廓质量的影响。我们发现地形相位的影响很小,但干涉图生成过程中的强多视和相干估计过程中的额外平均相结合,严重恶化了冰川边缘的相干。我们分析了X、C和L波段雷达数据的性能。C波段Sentinel-1数据概述了冰川边界,与空间清单数据中的全球陆地冰测量结果相比,错误分类最少,II型误差为0.47%。我们的研究表明,哨兵1号任务和我们的自动处理链有潜力为陆地冰川提供大规模定期更新。

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