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Geographical location of the Appin & West Cliff Colliery at Southern Coalfield in Australia overlaid on ©Google Map. Longwall panels highlighted with blue colour were mining active between June 2007 and January 2011 while panels marked with yellow colour were mining active between July 2015 and June 2016. 

Geographical location of the Appin & West Cliff Colliery at Southern Coalfield in Australia overlaid on ©Google Map. Longwall panels highlighted with blue colour were mining active between June 2007 and January 2011 while panels marked with yellow colour were mining active between July 2015 and June 2016. 

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Advanced Time Series InSAR (ATS-InSAR) generally refers to those TS-InSAR methods with an external distributed scatterer selection module, e.g. SqueeSAR™, and GEOS-ATSA (Advanced Time-Series Analysis). It is being known as a very efficient tool for monitoring ground deformation over suburban or non-urban regions with great success. However, researc...

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... Moreover, there are some restrictions, such as the need for point-to-point measurements and their labor-intensive nature (Strozzi et al., 2017;Zhang et al., 2018;Mehrabi et al., 2019;Mehrabi et al., 2021). In the meantime, InSAR has rapidly developed in recent decades, which is considered one of the useful and accurate techniques for ground subsidence detection, landslide and glacier deformation monitoring, earthquake spatial-temporal distribution, flooding susceptibility, and earth observations (Qu et al., 2017;Du et al., 2018;Cao et al., 2019;Yellala et al., 2019). We make use of a Persistent Scatterer Interferometry (PSI) InSAR technique, which overcomes several shortcomings of the earlier InSAR techniques. ...
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... However, abandoned goafs are still subject to illegal prospecting and random mining [11,12]. It is difficult to meet the stability evaluation requirements of the building (structure) foundation by acquiring detailed information about the abandoned gob area only based on mining information collected by several parties [13,14]. The use of reasonable and efficient detection methods to achieve accurate detection of the abandoned goaf location and overburden morphology is particularly important. ...
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... Focusing on satellite interferometry (InSAR), mining-induced subsidence is one of the common fields of application of this technique. Some of the most recent works have been presented by various authors, as [28][29][30][31][32][33][34]. InSAR can also provide useful information for sinkholes detection and monitoring, as demonstrated in the case of the Wink sinkholes in Texas (USA, [35]), along the Dead Sea shorelines in Israel and Jordan [36] or in the Ebro Valley (Spain, [37]). ...
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Underground mining is one of the human activities with the highest impact in terms of induced ground motion. The excavation of the mining levels creates pillars, rooms and cavities that can evolve in chimney collapses and sinkholes. This is a major threat where the mining activity is carried out in an urban context. Thus, there is a clear need for tools and instruments able to precisely quantify mining-induced deformation. Topographic measurements certainly offer very high spatial accuracy and temporal repeatability, but they lack in spatial distribution of measurement points. In the past decades, Multi-Temporal Satellite Interferometry (MTInSAR) has become one of the most reliable techniques for monitoring ground motion, including mining-induced deformation. Although with well-known limitations when high deformation rates and frequently changing land surfaces are involved, MTInSAR has been exploited to evaluate the surface motion in several mining area worldwide. In this paper, a detailed scale MTInSAR approach was designed to characterize ground deformation in the salt solution mining area of Saline di Volterra (Tuscany Region, central Italy). This mining activity has a relevant environmental impact, depleting the water resource and inducing ground motion; sinkholes are a common consequence. The MTInSAR processing approach is based on the direct integration of interferograms derived from Sentinel-1 images and on the phase splitting between low (LF) and high (HF) frequency components. Phase unwrapping is performed for the LF and HF components on a set of points selected through a "triplets closure" method. The final deformation map is derived by combining again the components to avoid error accumulation and by applying a classical atmospheric phase filtering to remove the remaining low frequency signal. The results obtained reveal the presence of several subsidence bowls, sometimes corresponding to sinkholes formed in the recent past. Very high deformation rates, up to −250 mm/yr, and time series with clear trend changes are registered. In addition, the spatial and temporal distribution of velocities and time series is analyzed, with a focus on the correlation with sinkhole occurrence.
... Research on the small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) technique is currently receiving significant attention both domestically and abroad (Berardino et al. 2002;Corsetti et al. 2018). This technique is widely used in monitoring different types of surface deformation with large-scale and long-time series, such as in mining areas, cities, and seismic fault zones (Xing et al. 2018;Du et al. 2018). The key data processing steps for the SBAS InSAR technique include the selection and generation of the multi-temporal differential interferogram series, extraction of highly coherent pixels, phase unwrapping, and the establishment and solution of deformation models. ...
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For the small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) technique, the construction and subsequent robust solution of a deformation model is a key factor in obtaining monitored surface deformation results with high precision and high reliability. Here, the performance of the least squares (LS) and singular value decomposition (SVD) methods for the robust solution of SBAS InSAR deformation models are compared via tests with simulation and real SAR data. The LS method is used to solve the SBAS InSAR deformation models of 62 and 48 multi-temporal differential interferogram series; the SVD method is used to solve the SBAS InSAR deformation models of 60, 41, 58 and 53 multi-temporal differential interferogram series; the solved deformation results of the six series by the LS and SVD methods are compared and verified with the simulated deformation values and global positioning system (GPS) measurements. The results indicate that there is a moderate ill-posed degree in solving the SBAS InSAR deformation model by the LS method. The LS method can correctly retrieve the deformation information without considering any errors; however, in the case of serious random error, the deformation information acquired through the LS method is different from that of the simulation and is affected by the error of the multi-temporal differential interferometric phase series. The LS-solved results of real SAR datasets of two series are consistent, but are not in good agreement with the results of five GPS measurements. When the number of subsets is two, all types of deformation information solved by the SVD method follow the same rules as the results solved by the LS method. However, when the number of subsets increases to three and four, the stability of the SVD method becomes very poor; the SVD method can then only correctly solve the distribution of deformation in the study area, and the other solved deformation information, such as deformation velocity, is no longer credible.
... Differential InSAR has been widely used to monitor land subsidence in mining areas around the world, including Shenmu (Chengsheng et al. 2010) and Huainan (Dong et al. 2013) in China; Silesia Mirek 2012;Przyłucka et al. 2015) in Poland; New South Wales in Australia; and the Franco-German border (Samsonov et al. 2013). A series of improved InSAR algorithms have been applied to monitor mining subsidence, including TS-SAR , ATS-SAR (Du et al. 2018), SBAS (Grzovic and Ghulam 2015), PS-SAR (Wegmuller et al. 2010), SqueeSAR (Ishwar and Kumar 2017), and interferogram stacking . Although the problem of monitoring three-dimensional movement has largely been solved, the monitoring range for settlement remains small. ...
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As one of the largest coal-rich provinces in China, Shanxi has extensive underground coal-mining operations. These operations have caused numerous ground cracks and substantial environmental damage. To study the main geological and mining factors influencing mining-related ground cracks in Shanxi, a detailed investigation was conducted on 13 mining-induced surface cracks in Shanxi. Based on the results, the degrees of damage at the study sites were empirically classified into serious, moderate, and minor, and the influential geological and mining factors (e.g., proportions of loess and sandstone in the mining depth, ratio of rock thickness to mining thickness, and ground slope) were discussed. According to the analysis results, three factors (proportion of loess, ratio of rock thickness to mining thickness, and ground slope) play a decisive role in ground cracks and can be respectively considered as the critical material, mechanical, and geometric conditions for the occurrence of mining surface disasters. Together, these three factors have a strong influence on the occurrence of serious discontinuous ground deformation. The results can be applied to help prevent and control ground damage caused by coal mining. The findings also provide a direct reference for predicting and eliminating hidden ground hazards in mining areas.