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Analysing Surface Deformation in Surabaya from Sentinel-1A Data using DInSAR Method

机译:用DINSAR方法分析来自Sentinel-1A数据的Surabaya表面变形

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The rapid population growth and increasing industrial space in the urban area of Surabaya have caused an excessive ground water use and load of infrastructures. This condition triggers surface deformation, especially the vertical deformation (subsidence or uplift), in Surabaya and its surroundings. The presence of dynamic processes of the Earth and geological form of Surabaya area can also fasten the rate of the surface deformation. In this research, Differential Interferometry Synthetic Aperture Radar (DInSAR) method is chosen to infer the surface deformation over Surabaya area. The DInSAR processing utilized Sentinel 1A satellite images from May 2015 to September 2016 using two-pass interferometric. Two-pass interferometric method is a method that uses two SAR imageries and Digital Elevation Model (DEM). The results from four pairs of DInSAR processing indicate the occurrence of surface deformation in the form of land subsidence and uplift based on the displacement Line of Sight (LOS) in Surabaya. The average rate of surface deformation from May 2015 to September 2016 varies from -3.52 mm/4months to +2.35 mm/4months. The subsidence mostly occurs along the coastal area. However, the result still contains errors from the processing of displacement, due to the value of coherence between the image, noise, geometric distortion of a radar signal and large baseline on image pair.
机译:泗水城市地区的迅速增长和越来越多的工业空间导致过度的地下水量和基础设施负荷。这种情况触发了Surabaya及其周围环境的表面变形,尤其是垂直变形(沉降或隆起)。 Surabaya区域的地球和地质形式的动态过程的存在也可以紧固表面变形的速率。在该研究中,选择差动干涉性合成孔径雷达(DINSAR)方法以推断SURABAYA区域的表面变形。 Dinsar处理利用来自2015年5月至2016年9月的Sentinel 1A卫星图像使用双通干扰测量。双通干涉方法是一种使用两个SAR成像和数字高程模型(DEM)的方法。四对Dinsar加工的结果表明,基于泗水的位移线(LOS)的土地沉降和提升形式的表面变形的发生。 2015年5月至2016年9月的平均表面变形率从-3.52毫米/ 4个月内变化至+2.35毫米/ 4个月。沉降主要发生在沿海地区。然而,由于图像,噪声信号的噪声,雷达信号的噪声,几何失真与图像对的大基线之间的相干值,结果仍然包含来自位移的处理的错误。

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