Study of subsidence monitoring in Nanjing City with small-baseline InSAR approach

Qiu, Zhiwei; Jiang, Tingchen; Zhou, Li; Wang, Chenxi; Luzi, G.

doi:10.1080/19475705.2019.1572660

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…The air is moist, the rainfall is abundant, the temperature is moderate, and the four seasons are distinct [27]. prevent land subsidence from endangering peoples' lives and property, it is necessary to further strengthen the monitoring and prevention of large-scale urban land subsidence [26]. Therefore, in this study, 108 Sentinel-1A radar satellite images acquired from April 2017 to December 2020 were used to monitor and analyze the land subsidence throughout the entire city of Qingdao using PS-InSAR.…”

Section: Study Areamentioning

confidence: 99%

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Land Subsidence in Qingdao, China, from 2017 to 2020 Based on PS-InSAR

Zhang

Bai

et al. 2022

IJERPH

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Land subsidence is a global geological disaster that seriously affects the safety of surface and underground buildings/structures and even leads to loss of life and property. The large-scale and continuous long-time coverage of Interferometric Synthetic Aperture Radar (InSAR) time series analysis techniques provide data and a basis for the development of methods for the investigation and evolution mechanism study of regional land subsidence. Based on the 108 SAR data of Sentinel-1 from April 2017 to December 2020, this study used Persistent Scatterer InSAR (PS-InSAR) technology to monitor the land subsidence in Qingdao. In addition, detailed analysis and discussion of land subsidence combined with the local land types and subway construction were carried out. From the entire area to the local scale, the deformation analysis was carried out in the two dimensions of time and space. The results reveal that the rate of surface deformation in Qingdao from 2017 to 2020 was mainly −34.48 to 5.77 mm/a and that the cumulative deformation was mainly −126.10 to 30.18 mm. The subsidence areas were mainly distributed in coastal areas (along the coasts of Jiaozhou Bay and the Yellow Sea) and inland areas (northeast Laixi City and central Pingdu City). In addition, it was found that obvious land subsidence occurred near the Health Center Station of Metro Line 8, a logistics company in Qingdao, and near several high-rise residential areas and business office buildings. It is necessary for the relevant departments to take timely action to prevent and mitigate subsidence-related disasters in these areas.

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Section: Study Areamentioning

confidence: 99%

“…In recent years, Qingdao's urbanization has developed rapidly, and an increasing number of subways and high-rise buildings have been constructed. In order to prevent land subsidence from endangering peoples' lives and property, it is necessary to further strengthen the monitoring and prevention of large-scale urban land subsidence [26].…”

Section: Introductionmentioning

confidence: 99%

Land Subsidence in Qingdao, China, from 2017 to 2020 Based on PS-InSAR

Zhang

Bai

et al. 2022

IJERPH

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“…The methodology suffers the same inherent limitation of InSAR approach and SAR satellite data (Qiu et al 2019;Yue et al 2016). Apart from the theoretical drawback like acquisition geometry and displacement limitation, there are two other aspects that spatially influence the possibility of detecting movements: the frequency splitting process and the lack of noisy phase elimination.…”

Section: Discussionmentioning

confidence: 99%

An innovative extraction methodology of active deformation areas based on sentinel-1 SAR dataset: the catalonia case study

Qiu¹,

Monserrat

Crosetto

et al. 2021

International Journal of Remote Sensing

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Persistent Scatterer interferometry (PSI) has been proved to be an advanced interferometric SAR (InSAR) technique used to measure and monitor terrain deformation. Two of the critical problems with InSAR have been the effect of the refractive atmosphere and decorrelation on the interferometric phases due to long spatial-temporal baseline. The low density of Persistent Scatterers (PS) in non-urban areas affected by spatial-temporal decoherence more seriously has inspired the development of alternative approaches. Sentinel-1 (S1) has improved the data acquisition throughout, and compared to previous sensors, increased considerably the differential interferometric SAR (DInSAR) and PSI deformation monitoring potential. This paper describes an innovative methodology to process S1 SAR data. Different with PSI, its most original part includes two key processing stages: high and low frequency splitting from wrapped phases, prior to atmospheric filtering, and final direct integration to generate the complete deformation with time series (TS) containing linear and nonlinear components. The proposed method has two fundamental advantages compared with traditional PSI approach: the final monitoring results with excellent coverage of coherent points and the generation of active maps even for the areas with 2 serious deformation in short term to break through the inherent limitation of PSI. The effectiveness of the proposed tools is illustrated using a case study located in Catalonia (Spain).This methodology has supposed a definitive step towards the implementation of DInSAR based techniques to support decision makers against geohazards. In this work, the deformation procedures happened in three different areas of the Catalonia (Spain) are presented and analyzed.The maximum accumulated subsidence of over -60cm induced by mining activity can be detected by proposed methodology with nice coverage from January 2017 to January 2019. These reported cases illustrate how DInSAR based techniques can provide detailed terrain deformation for geohazard activity with complex topographical conditions. The active deformation areas (ADA) map can be generated in fast aimed at geohazard risk early warning and management.

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“…Recent work on the interferometric SAR technique aims to study not only single event deformation phenomena, but also the temporal evolution of identified displacements through the generation of time series of the deformations (Deffontaines et al 2016;Qiu et al 2019). These approaches benefit from the availability of extensive SAR data archives, including those acquired over the past 20 years by SAR sensors such as Envisat ASAR data provided by the European Space Agency (ESA) (Zhang et al 2014).…”

Section: Methodsmentioning

confidence: 99%

Application of the SBAS-DInSAR technique for deformation monitoring in Tunis City and Mornag plain

Chaabani

Deffontaines

2020

Geomatics, Natural Hazards and Risk

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The ground deformation phenomena are the result of the application of natural stress (tectonic) or anthropogenic stress (overexploitation of groundwater, embankment) on the soil. The land deformation may cause several impacts on the environment and human life. A good understanding of the deformation behaviour of the soil is essential to mitigate risks on the infrastructure and environment. In this study, a radar interferometry is carried out to analyse the mobility of an urban and suburban area of Greater Tunis region. The interferometric synthetic aperture radar (SAR) technique has been proven to be an effective methodology for detecting and monitoring soil displacement with millimetre accuracy and also, improving our understanding of the current deformations in the study area. Indeed, the application of differential SAR interferometry made it possible to determine the origin of the surface deformations related to natural or anthropic phenomena. In this paper, the interferometric method of small baseline subset (SBAS) developed by Berardino et al. 2002has been chosen, in order to monitor the spatial and temporal pattern of the deformation phenomena in Greater Tunis region. The analysis of Envisat ASAR (2003)(2004)(2005)(2006)(2007), descending satellite orbit) and Sentinel 1B (2016-2018, ascending satellite orbit) SAR data allowed us to create deformation velocity maps associated with line of sight displacement time series. The results obtained by this method showed the existence of subsidence phenomenon in the urban areas (Tunis City) as well as in the rural areas (Mornag plain). In the first site (Tunis City), the subsidence rate reaches up to 13.98 mm/year and 19 mm/year during 2003-2007 and 2016-2018, respectively. The ground deformation that is detected around the region of Tunis Lake and Sebkhet Essijoumi, is probably due to the nature of the highly compressible and thickness alluvial deposits and whose substratum depth sometimes reaches more than 60 m. In the second studied site, ground subsidence was identified in the whole plain of Mornag. Indeed, the comparison between piezometric data and time series deformations shows that the trend of soil subsidence is coherent with the dynamic change in groundwater levels. Furthermore, the analysis ARTICLE HISTORY

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Study of subsidence monitoring in Nanjing City with small-baseline InSAR approach

Cited by 8 publications

References 14 publications

Land Subsidence in Qingdao, China, from 2017 to 2020 Based on PS-InSAR

Land Subsidence in Qingdao, China, from 2017 to 2020 Based on PS-InSAR

An innovative extraction methodology of active deformation areas based on sentinel-1 SAR dataset: the catalonia case study

Application of the SBAS-DInSAR technique for deformation monitoring in Tunis City and Mornag plain

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