Hu Bo, Chen Junyu, Zhang Xingfu
Surveying Engineering, Guangdong University of Technology, Guangzhou 510000, China.
Sensors (Basel). 2019 Jul 19;19(14):3181. doi: 10.3390/s19143181.
In recent years, the enormous losses caused by urban surface deformation have received more and more attention. Traditional geodetic techniques are point-based measurements, which have limitations in using traditional geodetic techniques to detect and monitor in areas where geological disasters occur. Therefore, we chose Interferometric Synthetic Aperture Radar (InSAR) technology to study the surface deformation in urban areas. In this research, we discovered the land subsidence phenomenon using InSAR and Global Navigation Satellite System (GNSS) technology. Two different kinds of time-series InSAR (TS-InSAR) methods: Small BAseline Subset (SBAS) and the Permanent Scatterer InSAR (PSI) process were executed on a dataset with 31 Sentinel-1A Synthetic Aperture Radar (SAR) images. We generated the surface deformation field of Shenzhen, China and Hong Kong Special Administrative Region (HKSAR). The time series of the 3d variation of the reference station network located in the HKSAR was generated at the same time. We compare the characteristics and advantages of PSI, SBAS, and GNSS in the study area. We mainly focus on the variety along the coastline area. From the results generated by SBAS and PSI techniques, we discovered the occurrence of significant subsidence phenomenon in the land reclamation area, especially in the metro construction area and the buildings with a shallow foundation located in the land reclamation area.
近年来,城市地表变形造成的巨大损失受到越来越多的关注。传统大地测量技术是基于点的测量方法,在利用传统大地测量技术对地质灾害发生区域进行探测和监测方面存在局限性。因此,我们选择干涉合成孔径雷达(InSAR)技术来研究城市地区的地表变形。在本研究中,我们利用InSAR和全球导航卫星系统(GNSS)技术发现了地面沉降现象。在一个包含31幅哨兵-1A合成孔径雷达(SAR)图像的数据集上执行了两种不同的时间序列InSAR(TS-InSAR)方法:小基线子集(SBAS)和永久散射体InSAR(PSI)处理。我们生成了中国深圳和香港特别行政区(HKSAR)的地表变形场。同时生成了位于香港特别行政区的参考站网络三维变化的时间序列。我们比较了PSI、SBAS和GNSS在研究区域的特点和优势。我们主要关注沿海岸线区域的变化情况。从SBAS和PSI技术生成的结果中,我们发现在填海区域,特别是在地铁建设区域以及填海区域内浅基础建筑物中出现了明显的沉降现象。