Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS
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 occu...
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| Format: | Article |
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MDPI AG
2019-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/14/3181 |
| _version_ | 1811301704643117056 |
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| author | Bo Hu Junyu Chen Xingfu Zhang |
| author_facet | Bo Hu Junyu Chen Xingfu Zhang |
| author_sort | Bo Hu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T07:13:34Z |
| format | Article |
| id | doaj.art-a8db93f760fa4b2698c81a2fb362e591 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:13:34Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a8db93f760fa4b2698c81a2fb362e5912022-12-22T02:56:48ZengMDPI AGSensors1424-82202019-07-011914318110.3390/s19143181s19143181Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSSBo Hu0Junyu Chen1Xingfu Zhang2Surveying Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaSurveying Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaSurveying Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaIn 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.https://www.mdpi.com/1424-8220/19/14/3181time-series InSARsubsidenceGNSScoastal urban area |
| spellingShingle | Bo Hu Junyu Chen Xingfu Zhang Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS Sensors time-series InSAR subsidence GNSS coastal urban area |
| title | Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS |
| title_full | Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS |
| title_fullStr | Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS |
| title_full_unstemmed | Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS |
| title_short | Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS |
| title_sort | monitoring the land subsidence area in a coastal urban area with insar and gnss |
| topic | time-series InSAR subsidence GNSS coastal urban area |
| url | https://www.mdpi.com/1424-8220/19/14/3181 |
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