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Geodetic Imaging of Time-Dependent Three-Component Surface Deformation: Application to Tidal-Timescale Ice Flow of Rutford Ice Stream, West Antarctica

机译:随时间变化的三分量表面变形的大地成像:在南极西部拉特福德冰流的潮汐时标冰流中的应用

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摘要

We present a method for inferring time-dependent three-component surface deformation fields given a set of geodetic images of displacements collected from multiple viewing geometries. Displacements are parameterized in time with a dictionary of displacement functions. The algorithm extends an earlier single-component (i.e., single line of sight) framework for time-series analysis to three spatial dimensions using combinations of multitemporal, multigeometry interferometic synthetic aperture radar (InSAR) and/or pixel offset (PO) maps. We demonstrate this method with a set of 101 pairs of azimuth and range PO maps generated for a portion of the Rutford Ice Stream, West Antarctica, derived from data collected by the COSMO-SkyMed satellite constellation. We compare our results with previously published InSAR mean velocity fields and selected GPS time series and show that our resulting three-component surface displacements resolve both secular motion and tidal variability.
机译:我们给出了一种推断时间相关的三分量表面变形场的方法,该方法给出了从多个观察几何体收集的位移的大地测量图像集。位移通过位移函数字典及时进行参数化。该算法使用多时相,多几何干扰模拟合成孔径雷达(InSAR)和/或像素偏移(PO)图的组合,将用于时间序列分析的较早的单分量(即单视线)框架扩展到三个空间维度。我们通过从COSMO-SkyMed星座收集的数据得出的,为南极拉特福德冰河的一部分生成的一组101对方位角和距离PO映射演示了此方法。我们将我们的结果与先前发布的InSAR平均速度场和选定的GPS时间序列进行了比较,结果表明我们产生的三分量表面位移解决了长期运动和潮汐变化。

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