A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method
Abstract In the process of mineral resource extraction, monitoring surface deformation is crucial for ensuring the safety of engineering and ground infrastructure. Monitoring complete three-dimensional surface deformation is particularly significant. Traditional synthetic aperture radar (InSAR) tech...
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Nature Portfolio
2025-01-01
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| Online Access: | https://doi.org/10.1038/s41598-025-87087-4 |
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| author | Qiuxiang Tao Ruixiang Liu Xuepeng Li Tengfei Gao Yang Chen Yixin Xiao Huzhen He Yunguang Wei |
| author_facet | Qiuxiang Tao Ruixiang Liu Xuepeng Li Tengfei Gao Yang Chen Yixin Xiao Huzhen He Yunguang Wei |
| author_sort | Qiuxiang Tao |
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| description | Abstract In the process of mineral resource extraction, monitoring surface deformation is crucial for ensuring the safety of engineering and ground infrastructure. Monitoring complete three-dimensional surface deformation is particularly significant. Traditional synthetic aperture radar (InSAR) technology provides deformation components only along the line of sight (LOS) and often lacks sufficient effective data in vegetation-covered mining areas and mining subsidence centers. To address this, this study proposes a method (SBAS-PIM) that combines SBAS-InSAR with the probabilistic integral method (PIM). This method leverages high-coherence points in mining areas and GNSS data from vegetation-covered regions to invert the parameters required by PIM, thus obtaining three-dimensional surface deformation results. The proposed method allows for the acquisition of three-dimensional deformation data with fewer InSAR points and GNSS data, significantly reducing labor costs and addressing the gap in InSAR monitoring of three-dimensional surface deformation in densely vegetated areas. Additionally, it accounts for the mutual influence of multiple adjacent working faces. Finally, through the application to a mining area in Heze, China, the maximum displacements in the vertical, east–west, and north–south directions were obtained as −2011, −418, and − 281 mm, respectively. The correlation coefficients between the vertical and east–west directions and GNSS data were both greater than or equal to 0.9, indicating that this method can effectively monitor the three-dimensional surface deformation of the mining area. |
| format | Article |
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| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-dbda4f0630e14ba59e05b6ffa789351f2025-01-26T12:25:09ZengNature PortfolioScientific Reports2045-23222025-01-0115111310.1038/s41598-025-87087-4A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral methodQiuxiang Tao0Ruixiang Liu1Xuepeng Li2Tengfei Gao3Yang Chen4Yixin Xiao5Huzhen He6Yunguang Wei7College of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyShandong GEO-Surveying & Mapping InstituteCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyAbstract In the process of mineral resource extraction, monitoring surface deformation is crucial for ensuring the safety of engineering and ground infrastructure. Monitoring complete three-dimensional surface deformation is particularly significant. Traditional synthetic aperture radar (InSAR) technology provides deformation components only along the line of sight (LOS) and often lacks sufficient effective data in vegetation-covered mining areas and mining subsidence centers. To address this, this study proposes a method (SBAS-PIM) that combines SBAS-InSAR with the probabilistic integral method (PIM). This method leverages high-coherence points in mining areas and GNSS data from vegetation-covered regions to invert the parameters required by PIM, thus obtaining three-dimensional surface deformation results. The proposed method allows for the acquisition of three-dimensional deformation data with fewer InSAR points and GNSS data, significantly reducing labor costs and addressing the gap in InSAR monitoring of three-dimensional surface deformation in densely vegetated areas. Additionally, it accounts for the mutual influence of multiple adjacent working faces. Finally, through the application to a mining area in Heze, China, the maximum displacements in the vertical, east–west, and north–south directions were obtained as −2011, −418, and − 281 mm, respectively. The correlation coefficients between the vertical and east–west directions and GNSS data were both greater than or equal to 0.9, indicating that this method can effectively monitor the three-dimensional surface deformation of the mining area.https://doi.org/10.1038/s41598-025-87087-43D displacementSBAS-InSARProbability integral methodVegetation-covered mining areasAdjacent multiple working faces |
| spellingShingle | Qiuxiang Tao Ruixiang Liu Xuepeng Li Tengfei Gao Yang Chen Yixin Xiao Huzhen He Yunguang Wei A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method Scientific Reports 3D displacement SBAS-InSAR Probability integral method Vegetation-covered mining areas Adjacent multiple working faces |
| title | A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method |
| title_full | A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method |
| title_fullStr | A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method |
| title_full_unstemmed | A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method |
| title_short | A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method |
| title_sort | method for monitoring three dimensional surface deformation in mining areas combining sbas insar gnss and probability integral method |
| topic | 3D displacement SBAS-InSAR Probability integral method Vegetation-covered mining areas Adjacent multiple working faces |
| url | https://doi.org/10.1038/s41598-025-87087-4 |
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