Monitoring the subsidence at different periods in high underground water level coal mine areas using differential interferometric synthetic aperture radar (D-InSAR)

Jiang, Xuzi; Min, Xiangyu; Ye, Tiantian; Li, Xinju; Hu, Xiao

doi:10.1080/10106049.2023.2215730

Cited by 4 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared with DInSAR technology, Stacking-InSAR technology can greatly weaken the atmospheric influence without relying on external data, and suppress the influence of DEM errors, so as to measure more accurate surface deformation information. It weighted-averages the unwrapped phase obtained over a period of time to weaken the influence of irrelevant noise, which includes atmospheric effects [21].…”

Section: Stacking-insarmentioning

confidence: 99%

Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data

Ji,

Zhang,

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

Coal mining leads to surface subsidence, landslides, soil erosion and other problems that seriously threaten the life and property safety of residents in mining areas, and it is urgent to obtain mining subsidence information using high-frequency, high-precision and large-scale monitoring methods. Therefore, this paper mainly studies the deformation monitoring of the Datong mining area using Lutan-1 monostatic and bistatic SAR data. Firstly, the latest Lutan-1 bistatic data are used to reconstruct the DSM, and the interferometric calibration method is used to improve the accuracy of the DSM. Then, the surface deformation monitoring of the mining area is implemented by using DInSAR, SBAS-InSAR and Stacking-InSAR with the reconstructed DSM data and Lutan-1 monostatic SAR data. Finally, the deformation monitoring results are compared with the surface deformation results based on the TanDEM data, and both the results are evaluated using the filed leveling data. Taking 20 images covering the Datong mining area as the data sources, the surface deformation results obtained using different InSAR methods in the mining area were quantitatively evaluated and analyzed. The results indicated that: (1) the DSM obtained using the Lutan-1 bistatic SAR data was assessed and demonstrated with the ICESat laser altimetry data an error of 2.8 m, which meets the Chinese 1:50,000 scale DEM cartographic accuracy standard, and the difference analysis with the TanDEM data shows that the terrain changes are mainly distributed in mountainous areas; (2) Due to the improvement in resolution, the registration accuracy of the SAR images and LT-DSM is higher than that of the TanDEM data in the range direction and azimuth direction; (3) Via evaluation with the filed leveling data, it is found that the surface deformation measurement results based on LT-DSM are less affected by terrain, and the accuracy of LT-DSM-SBAS and LT-DSM-DInSAR is improved by 11.5% and 16.3%, respectively, compared with TanDEM-SBAS and TanDEM-DInSAR, which demonstrates the effectiveness of the Lutan-1 bistatic and monostatic data for mine deformation monitoring.

show abstract

Section: Stacking-insarmentioning

confidence: 99%

Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data

Ji,

Zhang,

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…InSAR enables the acquisition of surface deformation information and can separate surface deformations through interference processing [11]. Differential interferometric synthetic aperture radar (DInSAR), as an extension of InSAR, has become a mature method for monitoring deformations in mining areas [12][13][14]. However, incoherence arises due to large deformation gradients, causing notable discrepancies between the obtained line-of-sight (LOS) deformations and the actual values in the nonedge areas of the mining influence ranges.…”

Section: Introductionmentioning

confidence: 99%

LOS Deformation Correction Method for DInSAR in Mining Areas by Fusing Ground Data without Control Points

Li,

Yan,

Cai

2023

Remote Sensing

View full text Add to dashboard Cite

The traditional leveling, total station, and global navigation satellite system (GNSS) and the new differential interferometric synthetic aperture radar (DInSAR) and terrestrial laser scanning (TLS) systems have their own advantages and limitations in the deformation monitoring of mining areas. It is difficult to obtain accurate deformation information only using single-source measurement data. In this study, we propose an LOS deformation correction method for DInSAR in mining areas by fusing ground data without control points. Based on free space data, small deformations at the edges of mining influence areas accurately obtained using DInSAR. By combining leveling/GNSS and TLS methods, it was possible to obtain large deformations in central areas without the need for control points located outside the mining influence range. For overcoming the non-uniform coordinates of the “space–ground” data and the limited overlap of the effective measurement ranges, the subsidence prediction model was employed to assist in its fusion. In addition, in LOS deformation correction, we retained the non-full cycle phase of DInSAR and replaced the full cycle phase with the one from the data fusion. Engineering experiments have shown that the correction results preserve the differences in the LOS deformations at the edge areas of the mine influence range, and they recover the lost LOS deformations at the center areas. Using the difference in the LOS deformation before and after correction as the verification indicator, the maximum absolute value of the errors after correction was 143 mm, which was approximately 6.4% of the maximum LOS deformation. In addition, there were still two errors that were large (−112 mm and −89 mm, respectively), and the absolute values of errors were not more than 75 mm. For all errors, the mean absolute value was 36 mm. Compared with 399 mm before correction, the error was reduced by 91%. This study provides technical support and theoretical reference for deformation monitoring and control in mining areas.

show abstract

“…Using ground-based radar interferometry [12], it is possible to carry out tilt measurements of, for example, a shaft tower or for observing slope stability in open-pit mining [13]. Satellite-based interferometric synthetic aperture radar (InSAR) interferometry has also been widely used in the mining industry [14,15] to measure ground deformation [16]. In the following years, methods were developed to analyse a series of interferometric data called persistent scatterers interferometry synthetic aperture radar (PSInSAR) [17].…”

Section: Introductionmentioning

confidence: 99%

Mining Geomatics

Krawczyk

2023

IJGI

View full text Add to dashboard Cite

This paper attempts to define a name for an area of science and technology that encompasses the acquisition, processing and application of spatial data in the mining industry. A comparative study of the evolution of spatial data exchange methods between Geographic Information Systems (GISs) and General Mining Planning (GMP) software is carried out to define the problem and name it. Subsequent modifications of the acronym GIS towards the specialisation of its application in mining are then reviewed. This is followed by the identification of three terminological postulates designed to formulate constraints and rules for the creation of a new definition. The subsequent analysis identifies the nomenclatural basis of the research area of geomatics and determines its applicability in the context of mining. The results of the research made it possible to formulate a new definition of “mining geomatics”. The final section of the article presents an initial proposal for an inventory of the basic concepts of mining geomatics in the form of a Body of Knowledge for mining geomatics.

show abstract

Monitoring the subsidence at different periods in high underground water level coal mine areas using differential interferometric synthetic aperture radar (D-InSAR)

Cited by 4 publications

References 35 publications

Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data

Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data

LOS Deformation Correction Method for DInSAR in Mining Areas by Fusing Ground Data without Control Points

Mining Geomatics

Contact Info

Product

Resources

About