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Comparison of L-band and X-band differential interferometric synthetic aperture radar for mine subsidence monitoring in central Utah

机译:犹他州中部L波段和X波段差分干涉合成孔径雷达用于矿山沉降监测的比较

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摘要

Differential interferometric synthetic aperture radar(DIn SAR), a satellite-based remote sensing technique, has potential application for measuring mine subsidence on a regional scale with high spatial and temporal resolutions. However, the characteristics of synthetic aperture radar(SAR) data and the effectiveness of DIn SAR for subsidence monitoring depend on the radar band(wavelength). This study evaluates the effectiveness of DIn SAR for monitoring subsidence due to longwall mining in central Utah using L-band(24 cm wavelength) SAR data from the advanced land observing satellite(ALOS)and X-band(3 cm wavelength) SAR data from the Terra SAR-X mission. In the Wasatch Plateau region of central Utah, which is characterized by steep terrain and variable ground cover conditions, areas affected by longwall mine subsidence are identifiable using both L-band and X-band DIn SAR.Generally, using L-band data, subsidence magnitudes are measurable. Compared to X-band, L-band data are less affected by signal saturation due to large deformation gradients and by temporal decorrelation due to changes in the surface conditions over time. The L-band data tend to be stable over relatively long periods(months). Short wavelength X-band data are strongly affected by signal saturation and temporal decorrelation, but regions of subsidence are typically identifiable over short periods(days). Additionally,though subsidence magnitudes are difficult to precisely measure in the central Utah region using X-band data, they can often be reasonably estimated.
机译:差分干涉合成孔径雷达(DIn SAR)是一种基于卫星的遥感技术,具有潜在的应用潜力,可在具有高时空分辨率的区域范围内测量地雷沉陷。然而,合成孔径雷达(SAR)数据的特征以及DIn SAR沉降监测的有效性取决于雷达波段(波长)。这项研究使用来自先进陆地观测卫星(ALOS)的L波段(24 cm波长)SAR数据和来自陆地观测卫星的X波段(3 cm波长)SAR数据评估DIn SAR监测犹他州中部长壁开采沉陷的有效性。 Terra SAR-X任务。在犹他州中部的瓦萨奇高原地区,该地区地形陡峭,地表条件变化,可以通过L波段和X波段DIn SAR来识别受长壁开采沉陷影响的区域。幅度是可测量的。与X波段相比,L波段数据受较大变形梯度的信号饱和影响较小,而受表面条件随时间变化的时间去相关影响较小。 L波段数据倾向于在相对较长的时间段(数月)内保持稳定。短波长X波段数据受信号饱和度和时间去相关的强烈影响,但通常可以在短时间段(天)内识别出沉降区域。此外,尽管使用X波段数据很难准确地测量犹他州中部地区的沉降幅度,但通常可以合理地估算它们。

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