Time-series analysis of subsidence associated with rapid urbanization in Shanghai, China measured with SBAS InSAR method

Dong, Shaochun; Samsonov, Sergey; Yin, Handong; Ye, Shujun; Cao, Yang

doi:10.1007/s12665-013-2990-y

Cited by 133 publications

(60 citation statements)

References 42 publications

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“…It is clear that the maximum sensitivity to motion detection is in the vertical direction, while the minimum sensitivity is in the N-S direction. If the three types of LOS displacement rates (i.e., D I , D II and D III ) can be derived through TCPInSAR processing with use of the multi-platform descending and ascending SAR images, the observation equation for solving dv, de and dn at a target can be expressed by (12) in which a = cos θ , = − cos φ sin θ , = sinφ sin θ ( = Ⅰ, Ⅱ, Ⅲ).…”

Section: Improving Vdrs By the Localized Ls Solutionmentioning

confidence: 99%

“…In recent years, some improved algorithms, such as StaMPS [7], SqueeSAR [8], Spatio-Temporal Unwrapping Network (STUN) [9], Temporarily Coherent Point SAR interferometry (TCPInSAR) [10], and Temporal Sublook Coherence (TSC) method [11], have been proposed, thus further increasing the spatial density of deformation-tracking points or raising the quality of deformation measurements. Dong et al [12] applied the SBAS method to the L-band ALOS PALSAR images acquired between 2007 and 2010, revealing the spatial and temporal behavior of land displacement along the radar line of sight (LOS) in a large area of Shanghai. Perissin et al [13] extracted land subsidence in Shanghai by using 33 Cosmo-SkyMed SAR images with the SARPROZ software [14], and concentrated on tracking the paths of newly excavated subway tunnels, which allows one to analyze the transverse motion profiles over metro tunnels and predict possible building damage.…”

Section: Introductionmentioning

confidence: 99%

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Extracting Vertical Displacement Rates in Shanghai (China) with Multi-Platform SAR Images

Dai

Liu

et al. 2015

Remote Sensing

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This paper presents a novel method for extracting the land vertical displacement rates (VDRs) in Shanghai (China) using the multi-platform SAR images collected between 2009 and 2010, i.e., the ascending/descending COSMO-SkyMed (CSK) X-band images and the descending TerraSAR (TSX) X-band images. Different from the conventional approach the proposed method estimates the VDRs by multi-temporal interferometric SAR processing (i.e., temporarily coherent point InSAR, TCPInSAR) and the localized least square (LS) solution, through which the horizontal displacement rates (HDRs) can be also derived as the by-product. The three types of displacement rates in the radar line of sight (LOS) are first estimated by TCPInSAR with use of the ascending/descending CSK and descending TSX data. Both the VDRs and HDRs are then estimated by a localized LS method on the basis of the three types of LOS displacement rates derived by TCPInSAR. For comparison purposes, the VDRs for the single-platform SAR data are also obtained through dividing the LOS displacement rates by the cosine of the radar incidence angle. The analysis with the aid of GPS data shows the horizontal motion due to the geological settings in Shanghai cannot be ignored, and the VDRs derived from the single-platform data are not accurate and reliable OPEN ACCESSRemote Sens. 2015, 7 9543 without taking into account the horizontal motion. The experimental results indicate the TCPInSAR-LS method can be used to efficiently improve the accuracy in the VDRs by integrating the multi-platform SAR data and considering both horizontal and vertical motion, thus overcoming the disadvantages in the conventional approach. The improved VDRs in Shanghai range between −22.8 and 9.6 mm/year, while the relative east-west motion rates range between −7.2 and 6.2 mm/year, and the relative north-south motion is subtle and can be ignored. Analysis of the improved VDRs shows that a slightly uplifting area of about 70 km 2 appears in the west downtown of Shanghai, and a subsiding bowl appears in the Hongkou District of Shanghai. The validation indicates that the uplifting trend can be ascribed to the measures conducted by the Shanghai municipal government, i.e., decreasing the groundwater pumping volume and increasing the groundwater recharge volume.

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Section: Improving Vdrs By the Localized Ls Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extracting Vertical Displacement Rates in Shanghai (China) with Multi-Platform SAR Images

Dai

Liu

et al. 2015

Remote Sensing

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“…The influence of land subsidence on these communities and environments can be very significant, increasing vulnerability to saltwater intrusion and flooding, threatening agriculture and ecological systems. Presently, land subsidence caused mainly by extraction of groundwater is threatening Jakarta (Ng et al, 2012), Ho Chi Minh City (Erban et al, 2014), Bangkok (Phien-wej et al, 2006), Shanghai (Dong et al, 2014), i.e. rapidly expanding urban areas which require huge amounts of water for domestic and industrial water supply.…”

Section: Introductionmentioning

confidence: 99%

Regional and local land subsidence at the Venice coastland by TerraSAR-X PSI

et al. 2015

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Abstract.Land subsidence occurred at the Venice coastland over the 2008-2011 period has been investigated by Persistent Scatterer Interferometry (PSI) using a stack of 90 TerraSAR-X stripmap images with a 3 m resolution and a 11-day revisiting time. The regular X-band SAR acquisitions over more than three years coupled with the very-high image resolution has significantly improved the monitoring of ground displacements at regional and local scales, e.g., the entire lagoon, especially the historical palaces, the MoSE large structures under construction at the lagoon inlets to disconnect the lagoon from the Adriatic Sea during high tides, and single small structures scattered within the lagoon environments. Our results show that subsidence is characterized by a certain variability at the regional scale with superimposed important local displacements. The movements range from a gentle uplift to subsidence rates of up to 35 mm yr −1 . For instance, settlements of 30-35 mm yr −1 have been detected at the three lagoon inlets in correspondence of the MoSE works, and local sinking bowls up to 10 mm yr −1 connected with the construction of new large buildings or restoration works have been measured in the Venice and Chioggia historical centers. Focusing on the city of Venice, the mean subsidence of 1.1 ± 1.0 mm yr −1 confirms the general stability of the historical center.

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“…For example, more than 44,200 km 2 in 45 states in the US and over 70,000 km 2 in 17 provinces in China have been directly affected by subsidence [10]. Subsidence has been an issue for a long time and leads to damage of urban infrastructure including buildings, railways, highways, subways and underground facilities (water supply pipes, gas, electricity installations, etc.).…”

Section: Introductionmentioning

confidence: 99%

Long-Term Land Subsidence Monitoring of Beijing (China) Using the Small Baseline Subset (SBAS) Technique

Wang

Sun

et al. 2014

Remote Sensing

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Advanced techniques of multi-temporal InSAR (MT-InSAR) represent a valuable tool in ground subsidence studies allowing remote investigation of the behavior of mass movements in long time intervals by using large datasets of SAR images covering the same area and acquired at different epochs. The settlement in Beijing is very serious, producing adverse environmental impacts. Excessive groundwater withdrawal is the most direct cause of land subsidence.In this paper, a spatial-temporal analysis of the land subsidence in Beijing was performed using one of the MT-InSAR techniques, referred to as Small Baseline Subset (SBAS). This technique allows monitoring the temporal evolution of a deformation phenomenon, via the generation of mean deformation velocity maps and displacement time series from a data set of acquired SAR images. 52 C-band ENVISAT ASAR images acquired from June 2003 to August 2010 were used to produce a linear deformation rate map and to derive time series of ground deformation. The results show that there are three large subsidence funnels within this study area, which separately located in Balizhuang-Dajiaoting in Chaoyang district, Wangjing-Laiguangying Chaoyang district, Gaoliying Shunyi district. The maximum settlement center is Wangsiying-Tongzhou along the Beijing express; the subsidence velocity exceeds 110 mm/y in the LOS direction. In particular, we compared the achieved results with leveling measurements that are assumed as reference. The estimated long-term subsidence results obtained by SBAS approach agree OPEN ACCESS Remote Sens. 2014, 6 3649 well with the development of the over-exploitation of ground water, indicating that SBAS techniques is adequate for the retrieval of land subsidence in Beijing from multi-temporal SAR data.

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Time-series analysis of subsidence associated with rapid urbanization in Shanghai, China measured with SBAS InSAR method

Cited by 133 publications

References 42 publications

Extracting Vertical Displacement Rates in Shanghai (China) with Multi-Platform SAR Images

Extracting Vertical Displacement Rates in Shanghai (China) with Multi-Platform SAR Images

Regional and local land subsidence at the Venice coastland by TerraSAR-X PSI

Long-Term Land Subsidence Monitoring of Beijing (China) Using the Small Baseline Subset (SBAS) Technique

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