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Monitoring Alpine glacier surface deformations with GB-SAR

机译:利用GB-SAR监测高山冰川表面变形

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摘要

We present methods and results from interferometric data processing of a long-lasting survey campaign monitoring the Planpincieux glacier, located on the Italian side of the Mont Blanc, using a ground-based synthetic aperture radar (GB-SAR). Monitoring a European Alpine glacier during the winter, when the meteorological conditions are highly variable, presents some difficulties in radar data interpretation. The main issues to tackle in interferometric processing are unwrapping errors and high amplitude dispersion (DA), mainly due to the high velocity and dielectric heterogeneity of the backscattering surface. To improve the reliability of the results, a coherence-driven pixel-selection criterion for identifying the glacier area and a simple approach to reduce possible unwrapping errors in interferograms with low coherence are here proposed. The development of a new 2D polynomial regression model, as a function of elevation, for atmospheric phase screen (APS) estimation is also discussed. A comparison with the results obtained with a vision-based approach gave showed good agreement.
机译:我们介绍了使用地面合成孔径雷达(GB-SAR)对位于勃朗峰意大利一侧的Planpincieux冰川进行的长期调查活动的干涉数据处理方法和结果。在冬季,当气象条件变化很大时,监测欧洲高山冰川会给雷达数据解释带来一些困难。干涉处理中要解决的主要问题是解包误差和高幅度色散(DA),这主要是由于反向散射表面的高速度和介电异质性。为了提高结果的可靠性,本文提出了一种用于识别冰川区域的相干驱动像素选择标准,以及一种用于降低相干性较低的干涉图中可能出现的展开误差的简单方法。还讨论了新的2D多项式回归模型的开发,该模型是海拔的函数,用于大气相位屏蔽(APS)估计。与基于视觉的方法获得的结果进行了比较,结果显示出很好的一致性。

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  • 来源
    《Remote sensing letters》 |2017年第12期|947-956|共10页
  • 作者单位

    Natl Council Res Italy, Res Inst Hydrogeol Protect, Geohazard Monitoring Grp, Turin, Italy;

    CERCA, CTTC, Geomat Div, Castelldefels, Spain;

    Natl Council Res Italy, Res Inst Hydrogeol Protect, Geohazard Monitoring Grp, Turin, Italy;

    Univ Pavia, Dept Earth Sci & Environm, Pavia, Italy;

    Natl Council Res Italy, Res Inst Hydrogeol Protect, Geohazard Monitoring Grp, Turin, Italy;

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