Monitoring Mining Subsidence Using A Combination of  Phase-Stacking and Offset-Tracking Methods

Fan, Hongdong; Gao, X. X.; Yang, Junkai; Deng, Kazhong; Yu, Yang

doi:10.3390/rs70709166

Cited by 107 publications

(49 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, ground surface displacements associated with underground coal mining are usually characterized by large deformation gradients and high speeds [11,27]. For example, in some coal mining sites in China, deformation of dozens or even hundreds of centimeters per month can occur within a small area (e.g., 1 km by 1 km) [9,[28][29][30]. Such large deformation gradients in coal mining areas cause severe decorrelation or phase discontinuity in interferograms.…”

Section: Large Deformation Gradientsmentioning

confidence: 99%

Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model

et al. 2017

View full text Add to dashboard Cite

Abstract:The seasonal variation of land cover and the large deformation gradients in coal mining areas often give rise to severe temporal and geometrical decorrelation in interferometric synthetic aperture radar (InSAR) interferograms. Consequently, it is common that the available InSAR pairs do not cover the entire time period of SAR acquisitions, i.e., temporal gaps exist in the multi-temporal InSAR observations. In this case, it is very difficult to accurately estimate mining-induced dynamic subsidence using the traditional time-series InSAR techniques. In this investigation, we employ a logistic model which has been widely applied to describe mining-related dynamic subsidence, to bridge the temporal gaps in multi-temporal InSAR observations. More specifically, we first construct a functional relationship between the InSAR observations and the logistic model, and we then develop a method to estimate the model parameters of the logistic model from the InSAR observations with temporal gaps. Having obtained these model parameters, the dynamic subsidence can be estimated with the logistic model. Simulated and real data experiments in the Datong coal mining area, China, were carried out in this study, in order to test the proposed method. The results show that the maximum subsidence in the Datong coal mining area reached about 1.26 m between 1 July 2007 and 28 February 2009, and the accuracy of the estimated dynamic subsidence is about 0.017 m. Compared with the linear and cubic polynomial models of the traditional time-series InSAR techniques, the accuracy of dynamic subsidence derived by the logistic model is increased by about 50.0% and 45.2%, respectively.

show abstract

Section: Large Deformation Gradientsmentioning

confidence: 99%

Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model

et al. 2017

View full text Add to dashboard Cite

show abstract

“…In 2013, Zhao et al [50] applied the OT procedure to generate the cumulative LOS deformation in the Bulianta and Shangwan coal mining areas of the Shendong coalfield from PALSAR-1 images. Following this, Chen et al [51] and Fan et al [52] both combined the OT procedure and the small baseline subset (SBAS)-InSAR procedure to retrieve the time-series LOS deformation in the Daliuta coal mining area (marked by the purple circle in Figure 1) of the Shendong coalfield from high resolution TerraSAR-X data. However, only 1-D surface LOS deformation, rather than the full 3-D displacement, was detected in these studies, which significantly hampers the accurate assessment of the mining-induced hazards and mining-related damage to infrastructure [33].…”

Section: Study Area and Sar Datamentioning

confidence: 99%

Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

et al. 2017

View full text Add to dashboard Cite

Due to the side-looking imaging geometry of the current synthetic aperture radar (SAR) sensors, only ground deformation along the radar's line-of-sight (LOS) and azimuth directions can be potentially obtained from a single amplitude pair (SAP) of SAR using offset tracking (OT) procedures. This significantly hinders the accurate assessment of mining-related hazards and better understanding of the mining subsidence mechanism. In this paper, we propose a method for completely retrieving three-dimensional (3-D) mining-induced displacements with OT-derived observations of LOS deformation from a single amplitude pair of SAR (referred to as OT-SAP hereinafter). The OT-SAP method first constructs two extra constraints at each pixel of the mining area based on the proportional relationship between the horizontal motion of the mining area and the gradients of the vertical subsidence in the east and north directions. The full 3-D mining-induced displacements are then solved by coupling the two constructed extra constraints with the OT-derived observations of the LOS deformation. The Daliuta coal mining area in China was selected to test the proposed OT-SAP method. The results show that the maximum 3-D displacements of this mining area were about 4.3 m, 1.1 m, and 1.3 m in the vertical, east, and north directions, respectively, from 21 November 2012 to 6 February 2013. The accuracies of the retrieved displacements in the vertical and horizontal directions are about 0.201 m and 0.214 m, respectively, which are much smaller than the mining-induced displacements in this mining area and can satisfy the basic requirements of mining deformation monitoring.

show abstract

“…The interferometric principle of mining subsidence based on DInSAR has been discussed in many studies [11,12,[15][16][17][18][19][20][21][22][23][24][25][26][27][28][29], and will not be duplicated in this work. Instead, multi-temporal InSAR technology was applied and two interferometric processing techniques were used for the entire coalfield: the consecutive (i.e., adjacent acquisitions) DInSAR interferometry and the cumulative DInSAR interferometry.…”

Section: Multi-temporal Insar Technologymentioning

confidence: 99%

“…Differential InSAR (DInSAR), as an extension of InSAR in terms of monitoring ground deformation, is mainly used to capture centimeter-level or smaller ground deformations along the line of sight (LOS) of a radar satellite. Considerable developments related to DInSAR monitoring of earthquake deformation [3,4], volcanic activities [5,6], glacial shift [7,8], urban water-loss settlement [9,10], mining subsidence [11,12], and landslides [13,14] have been achieved. However, DInSAR technology can easily cause interference decorrelation for mining subsidence with immense deformation and short deformation period.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Mining Subsidence Based on Multi-Temporal InSAR and Time-Series Analysis of the Small Baseline Subset—Case Study of Working Faces 22201-1/2 in Bu’ertai Mine, Shendong Coalfield, China

Cheng

Yang

et al. 2016

Remote Sensing

View full text Add to dashboard Cite

High-intensity coal mining (large mining height, shallow mining depth, and rapid advancing) frequently causes large-scale ground damage within a short period of time. Understanding mining subsidence under high-intensity mining can provide a basis for mining-induced damage assessment, land remediation in a subsidence area, and ecological reconstruction in vulnerable ecological regions in Western China. In this study, the mining subsidence status of Shendong Coalfield was investigated and analyzed using two-pass differential interferometric synthetic aperture radar (DInSAR) technology based on high-resolution synthetic aperture radar data (RADARSAT-2 precise orbit, multilook fine, 5 m) collected from 20 January 2012 to June 2013. Surface damages in Shendong Coalfield over a period of 504 days under open-pit mining and underground mining were observed. Ground deformation of the high-intensity mining working faces 22201-1/2 in Bu'ertai Mine, Shendong Coalfield was monitored using small baseline subset (SBAS) InSAR technology.(1) DInSAR detected and located 85 ground deformation areas (including ground deformations associated with past-mining activity). The extent of subsidence in Shendong Coalfield presented a progressive increase at an average monthly rate of 13.09 km 2 from the initial 54.98 km 2 to 225.20 km 2 , approximately, which accounted for 7% of the total area of Shendong Coalfield; (2) SBAS-InSAR reported that the maximum cumulative subsidence area reached 5.58 km 2 above the working faces 22201-1/2. The advance speed of ground destruction (7.9 m/day) was nearly equal to that of underground mining (8.1 m/day).

show abstract

Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods

Cited by 107 publications

References 27 publications

Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model

Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model

Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

Investigation on Mining Subsidence Based on Multi-Temporal InSAR and Time-Series Analysis of the Small Baseline Subset—Case Study of Working Faces 22201-1/2 in Bu’ertai Mine, Shendong Coalfield, China

Contact Info

Product

Resources

About