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Hybrid conventional and Persistent Scatterer SAR interferometry for land subsidence monitoring in the Tehran Basin, Iran

机译:常规和持久散射SAR混合干涉测量法,用于伊朗德黑兰盆地的地面沉降监测

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Excessive groundwater extraction has caused land subsidence in a large rural area located southwest of Tehran, Iran. We used radar images to estimate the temporal and spatial variation in the magnitude of the subsidence. Due to the large perpendicular baselines and rapid temporal decorrelation of the available data, the application of conventional synthetic aperture radar interferometry (InSAR) to monitor the deformation was not possible. Instead, we applied a recently developed Persistent Scatterer InSAR (PSI) method but found that displacements were underestimated in some areas due to high deformation rates that cause temporal aliasing of the signal. We therefore developed a method that combines conventional InSAR and PSI to estimate the high deformation rates in the southwestern Tehran Basin. We used rates estimated from conventional small temporal baseline interferograms to reduce the likelihood of aliasing and then applied PSI to the residual phase. The method was applied to descending and ascending ENVISAT ASAR images spanning from 2003 to 2009. Mean line-of-sight velocities obtained from both orientations that were further decomposed into horizontal and vertical deformation components were highly compatible with each other, indicating the high performance of the applied method. The mean precision of the estimated vertical component is 2.5 mm/yr. We validated our results using measurements from a continuous GPS station located in one of the subsiding areas. The results also compare favourably with levelling data acquired over a different time interval. Finally, we compared the estimated displacements to hydraulic head variations and geologic profiles at several piezometric wells. We found that the geology is the most important factor controlling the subsidence rate in the southwestern Tehran Basin, regardless of the water level decline.
机译:过度开采地下水已导致伊朗德黑兰西南部的广大农村地区发生土地沉降。我们使用雷达图像来估计沉降量的时空变化。由于较大的垂直基线和可用数据的快速时间去相关性,因此无法使用常规的合成孔径雷达干涉测量法(InSAR)来监测变形。取而代之的是,我们应用了最新开发的InSAR(Persistent Scatterer InSAR)(PSI)方法,但发现由于高变形率导致信号在时间上出现混叠,因此某些区域的位移被低估了。因此,我们开发了一种结合常规InSAR和PSI来估算西南德黑兰盆地高变形率的方法。我们使用根据常规小型时间基线干涉图估算的比率来降低混叠的可能性,然后将PSI应用于残留相位。该方法应用于从2003年到2009年的ENVISAT ASAR图像的下降和上升。从两个方向获得的平均视线速度进一步分解为水平和垂直变形分量,这彼此高度兼容,表明该方法的高性能。应用的方法。估计的垂直分量的平均精度为2.5毫米/年。我们使用位于一个沉降区域中的连续GPS站的测量结果验证了我们的结果。结果也与在不同时间间隔内获取的调平数据相比具有优势。最后,我们将估计的位移与多个测压井的水力压头变化和地质剖面进行了比较。我们发现,无论水位下降多少,地质都是控制西南德黑兰盆地沉降速率的最重要因素。

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