Upper Silesian Geophysical Observation System A unit of the EPOS project

Mutke, Grzegorz; Kotyrba, Andrzej; Lurka, Adam; Olszewska, Dorota; Dykowski, Przemysław; Borkowski, Andrzej; Araszkiewicz, Andrzej; Barański, Adam

doi:10.1016/j.jsm.2019.07.005

Cited by 17 publications

(7 citation statements)

References 11 publications

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“…It is also consistent with the MUT analysis for operational EPN products and was used successfully in the EPN Repro2 project (Araszkiewicz and Völksen 2017). To provide consistency with the ITRS/ETRS realization, the estimated results were combined with the MUT-PL solution created within the EPOS-PL project (Mutke et al 2019). The details about GNSS equipment and the execution of the measurements are presented in Table 1.…”

Section: Gnss Processingmentioning

confidence: 75%

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Kalman filter-based integration of GNSS and InSAR observations for local nonlinear strong deformations

Tondaś,

Ilieva,

van Leijen

et al. 2023

J Geod

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The continuous monitoring of ground deformations can be provided by various methods, such as leveling, photogrammetry, laser scanning, satellite navigation systems, Synthetic Aperture Radar (SAR), and many others. However, ensuring sufficient spatiotemporal resolution of high-accuracy measurements can be challenging using only one of the mentioned methods. The main goal of this research is to develop an integration methodology, sensitive to the capabilities and limitations of Differential Interferometry SAR (DInSAR) and Global Navigation Satellite Systems (GNSS) monitoring techniques. The fusion procedure is optimized for local nonlinear strong deformations using the forward Kalman filter algorithm. Due to the impact of unexpected observations discontinuity, a backward Kalman filter was also introduced to refine estimates of the previous system’s states. The current work conducted experiments in the Upper Silesian coal mining region (southern Poland), with strong vertical deformations of up to 1 m over 2 years and relatively small and horizontally moving subsidence bowls (200 m). The overall root-mean-square (RMS) errors reached 13, 17, and 35 mm for Kalman forward and 13, 17, and 34 mm for Kalman backward in North, East, and Up directions, respectively, in combination with an external data source - GNSS campaign measurements. The Kalman filter integration outperformed standard approaches of 3-D GNSS estimation and 2-D InSAR decomposition.

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Section: Gnss Processingmentioning

confidence: 75%

“…In the research area affected by mining deformations (Fig. 2), two types of permanent GNSS stations can be distinguished: geodetic and low-cost receivers deployed under the EPOS-PL project (Mutke et al 2019, https://epos-pl.eu). One geodetic receiver was located on the building "Ignacy" Historical Mine (RES1).…”

Section: Gnss Processingmentioning

confidence: 99%

Kalman filter-based integration of GNSS and InSAR observations for local nonlinear strong deformations

Tondaś,

Ilieva,

van Leijen

et al. 2023

J Geod

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“…Mining exploitation causes significant ground surface deformations that affect buildings and artificial facilities. Therefore, the measurement and monitoring of these areas are crucial to improve safety, productivity, and costs (Mutke et al, 2019). In Poland, the area of extensive mining exploitation is located in southern Poland and is called the Upper Silesian Coal Basin (USCB), where hard coal is excavated underground.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Effect of Alos-2 Data Utilization on the Accuracy of Estimation Vertical and Horizontal Deformation Components in the Area of Hard Coal Mining Exploitation in Poland by Using Differential Synthetic Aperture Radar Interferometry

Pawłuszek-Filipiak

Wielgocka

Tondaś

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Mining-induced deformations are characterized by high deformation rates. These deformations consist of both vertical and horizontal components, which should not be neglected during the monitoring of such areas. Unfortunately, Differential Satellite Synthetic Aperture Radar Interferometry (DInSAR) can only measure deformations in the line of sight (LOS) direction towards the satellite. Combining data from ascending and descending geometry allows reconstruction of the vertical and east-west deformation components. Theoretically, at least information from one ascending and one descending geometry is enough to reconstruct the vertical and east-west deformation components; however, for the area of interest three various Sentinel-1 datasets (one ascending and two descending) are available and have been used in the study. Furthermore, considering the availability of other SAR missions with slightly different geometries, the objective of this study was to evaluate the effect of ALOS-2 use on the accuracy of estimating the east-west and vertical cumulative deformation component estimated for a time span of approximately one year. Unfortunately, we have access to only five ALOS-2 scenes within the area of interest. However, the comparison of the decomposed results with GNSS measurements shows that the application of additional ALOS-2 data, even five scenes, allows the root mean square error (RMSE) to be decreased for the vertical and horizontal deformation component from 0.038m to 0.032m and from 0.031m to 0.018m, respectively. This means that the application of ALOS-2 data has a positive value on the accuracy of decomposed vertical and horizontal deformation components.

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“…Ground surface displacement in and around a mining area is a frequent phenomenon (Liu et al, 2019;Yuan et al, 2017). Surface subsidence is a dominant component of the displacement vector, which is triggered by underground mining (e.g., Mutke & Stec, 1997;Mutke et al, 2019;Przyłucka et al, 2015). Ground subsidence is usually monitored using conventional methods carried out in the field, including geodetic levelling, total stations or the Global Navigation Satellite System (GNNS).…”

Section: Introductionmentioning

confidence: 99%

Monitoring mining-induced subsidence by integrating differential radar interferometry and persistent scatterer techniques

Pawłuszek-Filipiak

Borkowski

2020

European Journal of Remote Sensing

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Surface subsidence is a dominant component of the displacement vector triggered by underground mining. Over the last few decades, Differential Interferometry Synthetic Aperture Radar (DInSAR) has been used to efficiently monitor this phenomenon with great spatial and temporal coverage. More advanced multi-temporal DInSAR (MTInSAR) algorithms have been proposed to overcome some of the limitations of conventional DInSAR. However, advanced MTInSAR approaches are also not perfect in terms of measuring mining subsidence (e.g., temporal decorrelation, ambiguity, nonlinearity). For this reason, we propose a fusion of the Persistent Scatterer Interferometry (PSInSAR) and DInSAR results. By combining these complementary techniques, the atmospheric errors in PSInSAR data are reduced and larger deformation rates could have been detected more accurately (thanks to DInSAR) than by an approach solely based on PS-InSAR. This allows to measure areas with fast-moving subsidence (1 m/year) due to ongoing underground coal exploitation. Data from ascending and descending orbits of Sentinel-1A\B were used to obtain the vertical deformation component. The resulting integrated vertical deformation map was compared with the results from levelling benchmarks. The Root Mean Square Error (RMSE) calculated based on this comparison was 22 mm. Moreover, the maximal vertical cumulative subsidence detected in the study area was 1.05 m/year.

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Upper Silesian Geophysical Observation System A unit of the EPOS project

Cited by 17 publications

References 11 publications

Kalman filter-based integration of GNSS and InSAR observations for local nonlinear strong deformations

Kalman filter-based integration of GNSS and InSAR observations for local nonlinear strong deformations

Assessing the Effect of Alos-2 Data Utilization on the Accuracy of Estimation Vertical and Horizontal Deformation Components in the Area of Hard Coal Mining Exploitation in Poland by Using Differential Synthetic Aperture Radar Interferometry

Monitoring mining-induced subsidence by integrating differential radar interferometry and persistent scatterer techniques

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