Time series ground subsidence inversion in mining area based on CRInSAR and PSInSAR integration

Xing, Xuemin; Zhu, Jianjun; Wang, Yongzhe; Yang, Yihai

doi:10.1007/s11771-013-1762-x

Cited by 15 publications

(6 citation statements)

References 12 publications

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“…The CR points were considered as the stable point that did not affect surface movement [27]. We analyzed vertical and horizontal displacements after SAR data processing.…”

Section: Cr Point Error Analysismentioning

confidence: 99%

Study on Characteristics of SAR Data in Ravine Reservoir Area

Xie¹,

Huang²,

Huang³

2016

IJEECS

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“…The CR points were considered as the stable point that did not affect surface movement [27]. We analyzed vertical and horizontal displacements after SAR data processing.…”

Section: Cr Point Error Analysismentioning

confidence: 99%

Study on Characteristics of SAR Data in Ravine Reservoir Area

Xie¹,

Huang²,

Huang³

2016

IJEECS

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“…The evaluation of building damage around the Panji coal mine was approximated by using the results of satellite image calculations combined with the field deployment of conductors and using the surface subsidence velocity and slope as evaluation factors to classify the surface building damage level (Li, Gao, and Lu 2019). PS-InSAR is applied in mining areas mainly with the help of artificial angular reflectors to calculate the PS (permanent scatterer) points time-series sedimentation values, and by establishing a closed loop of wire observations and applying geodesic theory for error analysis, it shows a good prospect of PS point application (Xing et al 2013). The application of PS-InSAR is very limited due to the large value of surface deformation gradient in the mine area and the serious temporal-spatial decoherence of the mine features (Maghsoudi et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Research on time series InSAR monitoring method for multiple types of surface deformation in mining area

Yang

Zhang

et al. 2022

Nat Hazards

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Interferometric Synthetic Aperture Radar (InSAR) has become the main choice of remote sensing detection method for monitoring large surface subsidence and deformation caused by underground coal mining. Time Series InSAR (TS-InSAR) has been intensively researched in mining-caused deformation monitoring for its ability to provide surface deformation time series, with Short Baseline Subset InSAR (SBAS-InSAR) and Permanent Scatter InSAR (PS-InSAR) being two classical methods. To obtain the incline and curvature in mining areas and assess the building damage, this paper exploits the results from SBAS-InSAR and PS-InSAR methods for the estimation of surface incline and curvature, following the principle of directional derivatives, and the surface beneath the villages and the industrial square near the 7221 Grout-filled working face, in the Huaibei mining area of Anhui Province, China, was analyzed. The estimated surface incline and curvature with SBAS-InSAR were within the threshold values specified for Class I damage, while PS-InSAR showed less than 1% measurements which exceeded this threshold. This paper provides a method for monitoring the surface deformation beneath the buildings around the mine area. Meanwhile, the dynamic analysis of the damage degree of buildings provides a basis for the determination of the influence range with grout-filled working faces.

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“…Differential Interferometric Synthetic Aperture Radar (D-InSAR) has been widely applied to detect and monitor ground surface movements caused by natural geological phenomena, e.g., earthquakes [4,5] landslides [6,7], as well as, man-made activities such as underground mining [8,9], and groundwater extraction [10,11]. With the advantages of large spatial coverage, high imaging resolution and non-intrusive surveying, DInSAR technique has significantly complemented to the traditional geodetic surveying methods.…”

Section: Introductionmentioning

confidence: 99%

Radar Interferometry Time Series to Investigate Deformation of Soft Clay Subgrade Settlement—A Case Study of Lungui Highway, China

et al. 2019

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Monitoring surface movement near highways over soft clay subgrades is fundamental for understanding the dynamics of the settlement process and preventing hazards. Earlier studies have demonstrated the accuracy and cost-effectiveness of using time series radar interferometry (InSAR) technique to measure the ground deformation. However, the accuracy of the advanced differential InSAR techniques, including short baseline subset (SBAS) InSAR, is limited by the temporal deformation models used. In this study, a comparison of four widely used time series deformation models in InSAR, namely Multi Velocity Model (MVM), Permanent Velocity Model (PVM), Seasonal Model (SM) and Cubic Polynomial Model (CPM), was conducted to measure the long-term ground deformation after the construction of road embankment over soft clay subgrade. SBAS-InSAR technique with TerraSAR-X satellite imagery were conducted to generate the time series deformation data over the studied highway. In the experiments, three accuracy indices were applied to show the residual phase, mean temporal coherence and the RMS of high-pass deformation, respectively. In addition, the derived time series deformation maps of the highway based on the four selected models and 17 TerraSAR-X images acquired from June 2014 to November 2015 were compared. The leveling data was also used to validate the experimental results. Our results suggested the Seasonal Model is the most suitable model for the selected study site. Consequently, we analyzed two bridges in detail and three single points distributed near the highway. Compared with the ground leveling deformation measurements and results of other models, SM showed better consistency, with the accuracy of deformation to be ±7 mm.

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Time series ground subsidence inversion in mining area based on CRInSAR and PSInSAR integration

Cited by 15 publications

References 12 publications

Study on Characteristics of SAR Data in Ravine Reservoir Area

Study on Characteristics of SAR Data in Ravine Reservoir Area

Research on time series InSAR monitoring method for multiple types of surface deformation in mining area

Radar Interferometry Time Series to Investigate Deformation of Soft Clay Subgrade Settlement—A Case Study of Lungui Highway, China

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