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Application of small baseline subsets D-InSAR technique to estimate time series land deformation of Jinan area, China

机译:小基线子集D-InSAR技术在济南地区土地序列时间序列估计中的应用

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摘要

Jinan, located in the South of the North China Plain, is an area where underground water has been exploited excessively. However, land deformation surveys only focus on the small district obtained by GPS and Leveling. Here, we use interferometric synthetic aperture radar (InSAR) time-series of ASAR data to resolve land subsidence in the entire Jinan region. In our research, we get 20 interferograms with a temporal threshold of 700 days and spatial-baseline threshold of 300 m from 14 ASAR satellite images on a descending orbit, and then get the surface displacement using Small Baseline InSAR (SBAS D-InSAR) retrained with a periodic model. Meanwhile, the accuracy of our work is proved by the results of GPS measurements. Finally, several settlement funnels are observed with extreme values of -20 cm, and their generation is related to massive groundwater extraction. (c) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:济南位于华北平原南部,是地下水被过度开采的地区。但是,土地变形调查仅关注GPS和Leveling获得的小区域。在这里,我们使用干涉合成孔径雷达(InSAR)时间序列的ASAR数据来解决整个济南地区的地面沉降。在我们的研究中,我们从下降轨道上的14张ASAR卫星图像中获得了20张干涉图,时间阈值为700天,空间基线阈值为300 m,然后使用小基线InSAR(SBAS D-InSAR)重新训练获得了表面位移与定期模型。同时,GPS测量的结果证明了我们工作的准确性。最后,观察到几个沉降漏斗,其最大值为-20 cm,其生成与大量地下水的抽取有关。 (c)2016年光电仪器工程师学会(SPIE)

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