Research on the Applicability of DInSAR, Stacking-InSAR and SBAS-InSAR for Mining Region Subsidence Detection in the Datong Coalfield

Xu, Yaozong; Li, Tao; Tang, Xinming; Zhang, Xiang; Fan, Hongdong; Wang, Yuewen

doi:10.3390/rs14143314

Cited by 35 publications

(23 citation statements)

References 50 publications

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“…However, errors cannot be completely avoided. First, for mountainous areas with dense vegetation, the coherence is poor [ 77 ]. During the observation period of this study, there was no large-scale construction of the tailings pond.…”

Section: Discussionmentioning

confidence: 99%

SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam

Xie,

Wu,

Gao

et al. 2023

Sensors

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The No.4 tailings pond of the Dexing Copper Mine is the second largest in Asia. The tailing pond is a dangerous source of man-made debris flow with high potential energy. In view of the lack of effective and low-cost global safety monitoring means in this region, in this paper, the time-series InSAR technology is innovatively introduced to monitor the deformation of tailings dam and significant key findings are obtained. First, the surface deformation information of the tailings pond and its surrounding areas was extracted by using SBAS-InSAR technology and Sentinel-1A data. Second, the cause of deformation is explored by analyzing the deformation rate, deformation accumulation, and three typical deformation rate profiles of the representative observation points on the dam body. Finally, the power function model is used to predict the typical deformation observation points. The results of this paper indicated that: (1) the surface deformation of the tailings dam can be categorized into two directions: the upper portion of the dam moving away from the satellite along the Line of Sight (LOS) at a rate of −40 mm/yr, whereas the bottom portion approaching the satellite along the LOS at a rate of 8 mm/yr; (2) the deformation of the dam body is mainly affected by the inventory deposits and the construction materials of the dam body; (3) according to the current trend, deformation of two typical observation points in the LOS direction will reach the cumulative deformation of 80 mm and −360 mm respectively. The research results can provide data support for safety management of No.4 tailings dam in the Dexing Copper Mine, and provide a method reference for monitoring other similar tailings dams.

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Section: Discussionmentioning

confidence: 99%

SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam

Xie,

Wu,

Gao

et al. 2023

Sensors

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“…Synthetic Aperture Radar Interferometry (InSAR) represents a transformative approach for acquiring large-scale deformation data from satellite observations, transcending the constraints of conventional landslide surveillance methodologies that are laborintensive and restricted in scope (Xu et al 2022). Illustratively, InSAR has been adeptly utilized to track the deformation dynamics of a landslide proximal to Yizi Village, China, in the context of the Xiluodu Reservoir's impoundment in 2019 (Li et al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Conversely, SBAS-InSAR ameliorates spatial decorrelation and diminishes topographic and atmospheric distortions (Berardino et al 2002). Its applications span earthquake detection (Huang et al 2016), ground subsidence analysis (Xu et al 2022), and landslide surveillance . Notably, SBAS-InSAR has yielded encouraging outcomes in identifying incipient landslides within vegetated terrains, as evidenced in Badong County's ecological buffer zone within China's Three Gorges Reservoir (Dong et al 2023) and along the national highway in Wenchuan County (Zhang et al 2021), underscoring its efficacy in challenging contexts.…”

Section: Introductionmentioning

confidence: 99%

Hydrological Influences on Landslide Dynamics in the Three Gorges Reservoir Area: An SBAS-InSAR Study in Yunyang County, Chongqing

Cui,

Tao,

Kou

et al. 2024

Preprint

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Landslide hazards pose a significant threat to lives and infrastructure, especially in mountainous regions like the Three Gorges Reservoir area. While the mechanisms driving landslide initiation and progression in reservoir environments are not fully understood. This study aimed to leverage the capabilities of Sentinel-1 satellite imagery and the Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique to detect and monitor potential landslide deformations in Yunyang County, Chongqing, China. We utilized Sentinel-1 data acquired between January 1, 2020, and December 28, 2022, to generate deformation velocity maps. Twelve potential landslides were identified, primarily concentrated near residential areas and along the Yangtze River. Precipitation emerged as the primary driver of surface deformation and landslide initiation, with potential landslides in residential vicinities and along the river exhibiting significantly higher deformation rates during the wet season compared to the dry season. These sites are susceptible to slope failures and geological disasters upon reaching critical antecedent rainfall thresholds, highlighting the necessity for continuous monitoring. Other potential landslides maintained consistent deformation rates across seasons but experienced brief accelerations following heavy precipitation events. Notably, potential landslides adjacent to the Yangtze River experienced accelerated deformation during periods of significant river water level reductions, suggesting that the river's cyclical water level fluctuations influence slope stability. The study demonstrated the effectiveness of SBAS-InSAR in detecting millimetric deformations in incipient landslides, a crucial step in averting landslide disasters and ensuring public safety.

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“…With the development of SAR satellites, SAR data has increased explosively, and therefore this disadvantage will become more obvious. To address this, some scholars proposed that the deformation results of a large range be obtained by D-InSAR or Stacking methods first, and that key areas be processed by refined timing methods [23]. However, this method still has some defects.…”

Section: Introductionmentioning

confidence: 99%

Landslide Detection Based on Multi-Direction Phase Gradient Stacking, with Application to Zhouqu, China

Xiong,

Sun,

2024

Applied Sciences

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Landslides are a common geological disaster, which cause many economic losses and casualties in the world each year. Drawing up a landslide list and monitoring their deformations is crucial to prevent landslide disasters. Interferometric synthetic aperture radar (InSAR) can obtain millimeter-level surface deformations and provide data support for landslide deformation monitoring. However, some landslides are difficult to detect due to the low-coherence caused by vegetation cover in mountainous areas and the difficulty of phase unwrapping caused by large landslide deformations. In this paper, a method based on multi-direction phase gradient stacking is proposed. It employs the differential interferograms of small baseline sets to directly obtain the abnormal region, thereby avoiding the problem where part of landslide cannot be detected due to a phase unwrapping error. In this study, the Sentinel-1 satellite ascending and descending data from 2018 to 2020 are used to detect landslides around Zhouqu County, China. A total of 26 active landslides were detected in ascending data and 32 active landslides in the descending data using the method in this paper, while the SBAS-InSAR detected 19 active landslides in the ascending data and 25 active landslides in the descending data. The method in this paper can successfully detect landslides in areas that are difficult for the SBAS-InSAR to detect. In addition, the proposed method does not require phase unwrapping, so a significant amount of data processing time can be saved.

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Research on the Applicability of DInSAR, Stacking-InSAR and SBAS-InSAR for Mining Region Subsidence Detection in the Datong Coalfield

Cited by 35 publications

References 50 publications

SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam

SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam

Hydrological Influences on Landslide Dynamics in the Three Gorges Reservoir Area: An SBAS-InSAR Study in Yunyang County, Chongqing

Landslide Detection Based on Multi-Direction Phase Gradient Stacking, with Application to Zhouqu, China

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