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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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Autores principales: Hu, Bo, Chen, Junyu, Zhang, Xingfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679266/
https://www.ncbi.nlm.nih.gov/pubmed/31330996
http://dx.doi.org/10.3390/s19143181
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author Hu, Bo
Chen, Junyu
Zhang, Xingfu
author_facet Hu, Bo
Chen, Junyu
Zhang, Xingfu
author_sort Hu, Bo
collection PubMed
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.
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spelling pubmed-66792662019-08-19 Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS Hu, Bo Chen, Junyu Zhang, Xingfu Sensors (Basel) Article 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. MDPI 2019-07-19 /pmc/articles/PMC6679266/ /pubmed/31330996 http://dx.doi.org/10.3390/s19143181 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hu, Bo
Chen, Junyu
Zhang, Xingfu
Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679266/
https://www.ncbi.nlm.nih.gov/pubmed/31330996
http://dx.doi.org/10.3390/s19143181
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