Research on InSAR Monitoring Precision Analysis of Coal Mining Influence Based on Long Time Sequence
In this paper, in view of the scope of coal mining subsidence, the magnitude of subsidence deformation and the impact on buildings (structures), InSAR technology is selected for monitoring, time series analysis method combined with D-InSAR method for processing, and Sentinel- 1 Satellite IW data and...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/13/e3sconf_arfee2021_01016.pdf |
| _version_ | 1818655934242619392 |
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| author | Gao Junhai Gao Rongjiu Chen Lisheng Han Yongbin Yan Jiancheng Li Xingli |
| author_facet | Gao Junhai Gao Rongjiu Chen Lisheng Han Yongbin Yan Jiancheng Li Xingli |
| author_sort | Gao Junhai |
| collection | DOAJ |
| description | In this paper, in view of the scope of coal mining subsidence, the magnitude of subsidence deformation and the impact on buildings (structures), InSAR technology is selected for monitoring, time series analysis method combined with D-InSAR method for processing, and Sentinel- 1 Satellite IW data and RADARSAT-2 satellite XF data have been monitored for four years in the mining-affected area and its surrounding areas. The results show that there are obvious subsidence ranges on the surface of the current mining area and the unstable settlement area. The Shen District has been in a stable state in recent years, and the time sequence analysis for more than 3 years has verified the high accuracy and reliability of the monitoring results. The analysis of the monitoring results shows that the InSAR technology can be used for mining subsidence monitoring, especially when determining the subsidence boundary and whether it is stable or not, it has its technical superiority. |
| first_indexed | 2024-12-17T03:17:34Z |
| format | Article |
| id | doaj.art-e26b4e77f2504cd793ec91879b8bf104 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-17T03:17:34Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-e26b4e77f2504cd793ec91879b8bf1042022-12-21T22:05:37ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012370101610.1051/e3sconf/202123701016e3sconf_arfee2021_01016Research on InSAR Monitoring Precision Analysis of Coal Mining Influence Based on Long Time SequenceGao JunhaiGao Rongjiu0Chen Lisheng1Han Yongbin2Yan JianchengLi Xingli3Tiandi(Tangshan) Mining Science and Technology Company Ltd.Tiandi(Tangshan) Mining Science and Technology Company Ltd.Tiandi(Tangshan) Mining Science and Technology Company Ltd.Tiandi(Tangshan) Mining Science and Technology Company Ltd.In this paper, in view of the scope of coal mining subsidence, the magnitude of subsidence deformation and the impact on buildings (structures), InSAR technology is selected for monitoring, time series analysis method combined with D-InSAR method for processing, and Sentinel- 1 Satellite IW data and RADARSAT-2 satellite XF data have been monitored for four years in the mining-affected area and its surrounding areas. The results show that there are obvious subsidence ranges on the surface of the current mining area and the unstable settlement area. The Shen District has been in a stable state in recent years, and the time sequence analysis for more than 3 years has verified the high accuracy and reliability of the monitoring results. The analysis of the monitoring results shows that the InSAR technology can be used for mining subsidence monitoring, especially when determining the subsidence boundary and whether it is stable or not, it has its technical superiority.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/13/e3sconf_arfee2021_01016.pdf |
| spellingShingle | Gao Junhai Gao Rongjiu Chen Lisheng Han Yongbin Yan Jiancheng Li Xingli Research on InSAR Monitoring Precision Analysis of Coal Mining Influence Based on Long Time Sequence E3S Web of Conferences |
| title | Research on InSAR Monitoring Precision Analysis of Coal Mining Influence Based on Long Time Sequence |
| title_full | Research on InSAR Monitoring Precision Analysis of Coal Mining Influence Based on Long Time Sequence |
| title_fullStr | Research on InSAR Monitoring Precision Analysis of Coal Mining Influence Based on Long Time Sequence |
| title_full_unstemmed | Research on InSAR Monitoring Precision Analysis of Coal Mining Influence Based on Long Time Sequence |
| title_short | Research on InSAR Monitoring Precision Analysis of Coal Mining Influence Based on Long Time Sequence |
| title_sort | research on insar monitoring precision analysis of coal mining influence based on long time sequence |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/13/e3sconf_arfee2021_01016.pdf |
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