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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Improved Envisat Altimetry Ice Sheet Elevation Change Data Processing Algorithms Using Repeat-Track Analysis
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Improved Envisat Altimetry Ice Sheet Elevation Change Data Processing Algorithms Using Repeat-Track Analysis

机译：使用重复轨迹分析的改进的Envisat Altimetry冰盖海拔变化数据处理算法

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Repeat-track analysis is commonly utilized to generate elevation change time series from satellite radar altimetry over ice sheets. It requires surface gradient (SG) correction due primarily to orbital drifts and radar-related empirical corrections caused by radar scatters from ice surface and potential subsurface. In this letter, two approaches, namely, the use of a digital elevation model (DEM) and the modified repeat-track analysis, which uses the accumulated Envisat altimetry profiles, are applied to correct the SG over both Greenland ice sheet (GrIS) and Antarctic ice sheet (AIS). By comparing the root mean square (rms) of elevation change time series after SG correction, the percentage of data (rms< 1 m) obtained by using modified repeat-track analysis is found to be 85% and 88% for the GrIS and AIS, respectively, as opposed to 45% and 44% if the DEM method is used. Furthermore, three cases are studied to assess empirical corrections for elevation retrieved from both ice-1 and ice-2 algorithms over the AIS. We conclude that the modified repeat-track analysis is more effective to remove topographic induced error. For the ice-2 algorithm, waveform shape parameters are needed in addition to applying corrections from changes in backscatter coefficients. The trend of elevation changes from the ice-1 algorithm with only backscatter analysis agrees with that from the ice-2 algorithm with corrections from backscatter coefficient changes and waveform shape parameters. This study could provide a potential data processing recipe for generating improved satellite radar altimetry elevation time series over ice sheets.
机译：通常使用重复轨迹分析从冰盖上的卫星雷达测高仪生成高程变化时间序列。它主要由于轨道漂移而需要对表面梯度（SG）进行校正，并由于雷达从冰面和潜在地下的散射而引起的与经验有关的校正。在这封信中，采用了两种方法，即使用数字高程模型（DEM）和使用重复的Envisat测高仪剖面的改进的重复航迹分析，来校正格陵兰冰原（GrIS）和海冰上的SG。南极冰盖（AIS）。通过比较SG校正后海拔变化时间序列的均方根（rms），发现使用改良的重复轨迹分析获得的数据百分比（rms <1 m）对于GrIS和AIS分别为85％和88％分别为45％和44％（如果使用DEM方法）。此外，研究了三种情况，以评估通过AIS从ice-1和ice-2算法检索到的海拔高度的经验校正。我们得出结论，修改后的重复轨迹分析可以更有效地消除地形引起的误差。对于ice-2算法，除了需要根据反向散射系数的变化进行校正之外，还需要波形形状参数。仅使用反向散射分析的ice-1算法的海拔变化趋势与通过反向散射系数变化和波形形状参数进行校正的ice-2算法的海拔变化趋势一致。这项研究可以提供潜在的数据处理方法，以在冰盖上产生改进的卫星雷达测高时间序列。

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