Application of DInSAR and Spatial Statistics Methods in Analysis of Surface Displacements Caused by Induced Tremors

Owczarz, Karolina; Blachowski, Jan

doi:10.3390/app10217660

Cited by 7 publications

(4 citation statements)

References 51 publications

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“…Every year, at least a few earthquakes with energies greater than 10E7 J are recorded [61,[67][68][69][70][71]. Moreover, mining-induced earthquakes in the study area caused much greater velocity and quantity of ground displacements than land subsidence caused directly by the extraction of copper ore deposits [67,[72][73][74][75][76][77][78][79][80][81][82][83].…”

Section: Study Area and Input Datamentioning

confidence: 99%

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

et al. 2021

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Horizontal strains related to mining-induced subsidence may endanger infrastructure and surface users’ safety. While directional horizontal strains should be well determined, appropriate solutions for a complete assessment of the terrain surface deformation field are still required. As a result, the presented study examined a new method for calculating horizontal strain tensor based on the decomposition of satellite radar interferometry (InSAR) observations into vertical and azimuth look direction (ALD) displacements. Based on a geometric integral model, we tested our method on experimental data before applying it to an underground copper ore mine in Poland. In the case study, the displacement field was determined using the Multi-Temporal InSAR method on Sentinel-1 data. The model data relative error did not exceed 0.02 at σ = ±0.003. For the case study, land subsidence of up to −167 mm and ALD displacements ranging from −110 mm to +62 mm was obtained, whereas the extreme values of horizontal strains ranged from −0.52 mm/m to +0.36 mm/m at σ = ±0.050 mm/m. Our results demonstrate the high accuracy of the method in determining the horizontal strain tensor. As a result, the approach can broaden the assessment of the environmental impact of land subsidence worldwide.

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Section: Study Area and Input Datamentioning

confidence: 99%

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

et al. 2021

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“…More mature technical methods include D-InSAR (Differometric Synthetic Aperture Radar ), IPTA(Interferometric Point Target Analysis), Stacking [8], and SBAS(Small Baseline Subset). D-InSAR technology is widely used in seismic deformation observation because of its advantages of convenience, high precision, low cost, and high sensitivity to deformation [9]. D-InSAR technology uses multi-period complex radar image coherent information to extract surface deformation, the accuracy can reach the millimeter level [10], d has a high efficiency of large-area surface deformation monitoring [11].…”

Section: Introductionmentioning

confidence: 99%

Stress and seismogenic faulting analysis of the earthquake of May 22, 2021 on Maduo, Qinghai studied through D-InSAR measurements

Cong

2023

International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022)

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For Magnitude 7.4 large-scale earthquake that occurred in Maduo County, Guoluo Prefecture, Qinghai Province in 2021, two Sentinel-1a images were used for orbit descent, one Sentinel-1a image and one Sentinel-1b image were spliced and cut, and D-InSAR technology was used for analysis. Despite extensive research into this earthquake, understanding its causes was biased due to its low coherence characteristics. In this study, we derived seismic LOS direction interferograms and coherence maps from Sentinel-1A/B data. The interferogram shows that the fault has multiple asperities and the deformation is larger as it is closer to the epicenter. According to the distribution map of the fault zone, it is concluded that the seismogenic fault is the fault zone of the southern margin of Gande. The stress analysis of the plate where the earthquake is located shows that the probability of earthquakes in the south of the Bayan Har block where the earthquake is located will increase in the future.

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“…Accordingly, the geographical extension of the area affected by terrain deformation varies, depending mainly on the depth of the excavation room, with deformation cone footprints ranging from a few hundreds of meters to kilometers. On the other hand, the temporal deformation behavior changes the deformation rate caused by small collapsing events or heavy mining-induced seismic tremors, which are considered the most serious threat to the built environment due to their unpredictable nature [1,2]. Such deformation phenomena can cause severe damage to buildings and infrastructures; thus, accurate monitoring of the affected area is necessary and often compulsory.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Temporal Small Baseline Interferometry Procedure Applied to Mining-Induced Deformation Monitoring

et al. 2022

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This work addresses a methodology based on the interferometric synthetic aperture radar (InSAR) applied to analyze and monitor ground-motion phenomena induced by underground mining activities in the Legnica-Glogow copper district, south-western Poland. The adopted technique employs an InSAR processing chain that exploits a stack of Sentinel-1 synthetic aperture radar (SAR) images using a small baseline multitemporal approach. Interferograms with small temporal baselines are first selected, then their network is optimized and reduced to eliminate noisy data, in order to mitigate the effect of decorrelation sources related to seasonal phenomena, i.e., snow and vegetation growth, and to the radar acquisition geometry. The atmospheric disturbance is mitigated using a spatio-temporal filter based on the nonequispaced fast Fourier transform. The estimated displacement maps and time series show the effect of both linear and impulsive ground motion and are validated against global navigation satellite system (GNSS) measurements. In this context, a significant threat to the built environment is represented by seismic tremors triggered by underground mining activities, which are analyzed using the proposed method to integrate the information gathered by in situ seismometer devices.

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Application of DInSAR and Spatial Statistics Methods in Analysis of Surface Displacements Caused by Induced Tremors

Cited by 7 publications

References 51 publications

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

Stress and seismogenic faulting analysis of the earthquake of May 22, 2021 on Maduo, Qinghai studied through D-InSAR measurements

A Multi-Temporal Small Baseline Interferometry Procedure Applied to Mining-Induced Deformation Monitoring

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