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Monitoring ground subsidence in Jiaxing region using Envisat data

机译:利用Envisat数据监测嘉兴地区地面沉降

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Jiaxing is 110 kilometers far away from Shanghai, the high speed railway and the planed maglev from Shanghai to Hangzhou cross Jiaxing city. It is very important to monitor ground subsidence in Jiaxing region for the safe running of the high speed railways. However, the traditional ground subsidence measurement methods, such as precise leveling and GPS, have a very low spatial resolution and are laborious. DInSAR technology is a new effective method for monitoring ground subsidence with high resolution and accuracy, but due to the influence of many kinds of noises, the interferograms cannot reveal ground deformation directly. In this work, small baseline subset (SBAS) method is applied to extract the ground subsidence information. SBAS can reduce the effects of topographic error and spatial decorrelation, and also increase the number of useable InSAR pairs. Totally 13 scenes of the Envisat SAR images covering Jiaxing region between 2008 and 2009 are chosen and processed. The results show that a funnel shaped ground subsidence appears at Pinghu city.
机译:嘉兴市距上海110公里,高速铁路和计划中的从上海到杭州的磁悬浮列车穿越嘉兴市。监测嘉兴地区地面沉降对保证高速铁路的安全运行非常重要。然而,传统的地面沉降测量方法,例如精确的水准测量和GPS,具有非常低的空间分辨率并且费力。 DInSAR技术是一种高分辨率,高精度的地面沉降监测新有效方法,但由于多种噪声的影响,干涉图无法直接揭示地面变形。在这项工作中,采用小基线子集(SBAS)方法提取地面沉降信息。 SBAS可以减少地形误差和空间去相关的影响,并且还可以增加可用的InSAR对的数量。选择并处理了2008年至2009年期间覆盖嘉兴地区的Envisat SAR图像的13个场景。结果表明,平湖市出现了漏斗状地面沉降。

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