Use of Multiplatform SAR Imagery in Mining Deformation Monitoring with Dense Vegetation Coverage: A Case Study in the Fengfeng Mining Area, China

Zhang, Bochen; Wu, Songbo; Ding, Xiaoli; Wang, Chisheng; Zhu, Jiasong; Li, Qingquan

doi:10.3390/rs13163091

Cited by 14 publications

(12 citation statements)

References 34 publications

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“…Zhang et al [35] treated the measurement of ground deformation caused by mining activities in the Fengfeng area (Eastern China) in 2015 and 2016. They adopted MTInSAR applied to multiple satellite SAR images, i.e., TerraSAR-X, Sentinel-1, Radarsat-2, and PALSAR-2, thus increasing the data adopted to build the time series.…”

Section: Minesmentioning

confidence: 99%

Remote Sensing Analysis of Geologic Hazards

et al. 2022

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Section: Minesmentioning

confidence: 99%

Remote Sensing Analysis of Geologic Hazards

et al. 2022

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“…Regarding large-scale surface deformation, the monitoring efficiency is not high, and it involves a time-consuming and labor-intensive approach that is greatly affected by external factors [12]. InSAR technology can be adopted to monitor ground surface deformation on a daily basis [13]. Earlier InSAR technology originated from the double-slit interference experiment of Thomas Young [14,15].…”

Section: Introductionmentioning

confidence: 99%

A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence Prediction

Zhu,

Qiu,

Zhang

et al. 2024

Water

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Surface waterlogging disasters due to underground mining and geological status have caused the abandonment of fertile land, seriously damaged the ecological environment, and have influenced the sustainable development of coal resource-based cities, which has become a problem that some mining areas need to face. However, the traditional underwater terrain measurement method using sonar encompasses a time-consuming and labor-intensive process. Thus, an inversion method for obtaining the underwater spatial information of subsidence waterlogging in coal mining subsidence waterlogging areas is proposed, based on differential interferometric synthetic aperture radar (D-InSAR) and the probability integral prediction method. First, subsidence values are obtained in the marginal area of the subsidence basin using D-InSAR technology. Then, the subsidence prediction parameters of the probability integral method (PIM) are inverted by a genetic algorithm (GA) based on the subsidence values. Finally, the underwater spatial information of subsidence waterlogging is calculated on the basis of the prediction parameters. The subsidence waterlogging area in the Wugou coal mine was adopted as the study area, and the underwater spatial information of subsidence waterlogging was inverted by the proposed method. The results show that this method can effectively provide the underwater spatial information of subsidence waterlogging, including the maximum subsidence value, waterlogging volume, subsidence waterlogging area, and underwater terrain in the subsidence waterlogging area. Compared with field-measured data from the same period, the RMSE of water depth is 99 mm, and the relative error is 9.9%, which proves that this inversion method is accurate and can meet engineering precision requirements.

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“…However, abnormal surface deformation and damage are relatively unique and unpredictable and can be easily missed. Furthermore, owing to the shortcomings of traditional surveying methods, such as sparse measurement points, small measurement ranges, and long monitoring periods, long time-series multi-dimensional data are lacking [26], [27]; this has contributed to our insufficient understanding of the spatiotemporal evolution characteristics of abnormal surface deformation caused by underground mining. With the continuous enrichment of SAR satellite data and the development of data processing methods, the accuracy of InSAR technology in obtaining surface deformations has reached the millimeter level [28].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution Law and the Mechanism of Abnormal Surface Deformation in Fault-Affected Mining Zones

Diao,

Sun,

Zhang

et al. 2023

IEEE Access

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Faults are a type of geological structure easily "reactivated" by underground mining, which destroys the internal movement and deformation laws of rocks and soil masses and causes anomalous surface sinking features. Therefore, studying the spatiotemporal evolution and deformation mechanism of mining subsidence in regions of fault occurrence is crucial for logical planning of the operating face and preventing and providing early warning of geological disasters. Considering the abnormal surface damage phenomenon in a town in the Hebei Province as the research background, this study used 46 Sentinel-1A radar images from January 3, 2019, to June 26, 2020, to investigate the spatiotemporal evolution of surface movement and deformation during the mining of the working face using the time-series InSAR deformation analysis method. Especially a four-threshold PS point selection method is proposed and applied to SBAS-InSAR monitoring. Compared with the monitoring data of 69 benchmarks in the same period, the MAE and RMSE between InSAR and leveling were 6.7 and 5.3 mm, respectively. This shows that the deformation of the mining area inverted by InSAR is reliable. Then, the response mechanism of surface deformation in a region of fault occurrence was analyzed based on separation space theory using a rock beam mechanical model. The results revealed that the abnormal damage area had been deformed since September, 2019, and the abnormal deformation continued to develop with the advancement of the working face. The termination position of the abnormal deformation was approximately linear and relatively spatially independent of the conventional subsidence basin. Additionally, the time-series deformation characteristics of different regions within the influence range of mining were different, and the surface subsidence curve in the direct influence area conformed to the conventional law of subsidence. Surface subsidence in the indirect influence area experienced a process of acceleration and then slowed; the deformation mechanism was different from the conventional movement law of rock strata. The surface outside the affected area exhibited a small uplift, and its active time was consistent with the fault slip instability time. Furthermore, after the fault was disturbed, the rock mass in the fault zone slipped towards the goaf, and a separation space was generated at the fault plane and transferred to the loose layer, which promoted the abnormal expansion of the movement range of overburden and severe deformation at the outcrops. Simultaneously, the footwall of the fault was slightly uplifted owing to the lever principle. Our research results provide data-driven support for the study of abnormal damage laws and the disclosure of their causes. These findings are imperative for the development and improvement of the subsequent subsidence control theory.

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Use of Multiplatform SAR Imagery in Mining Deformation Monitoring with Dense Vegetation Coverage: A Case Study in the Fengfeng Mining Area, China

Cited by 14 publications

References 34 publications

Remote Sensing Analysis of Geologic Hazards

Remote Sensing Analysis of Geologic Hazards

A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence Prediction

Spatiotemporal Evolution Law and the Mechanism of Abnormal Surface Deformation in Fault-Affected Mining Zones

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