Journal of Guangdong University of Technology ›› 2023, Vol. 40 ›› Issue (03): 99-104.doi: 10.12052/gdutxb.220048

Previous Articles     Next Articles

InSAR Deformation Monitoring and Analysis of Mining Area Based on Quadtree Filtering

Yang Xiao-ge1, Wang Hua1, Bai jun2, Ng Alex Hay-Man1, Li Ting-jun3, Bai Yu-chao3, Pi Ting-liang3   

  1. 1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China;
    2. Guangzhou Haichuan Information Technology Co., Ltd., Guangzhou 510300, China;
    3. Yunnan Hualian Zinc and Indium Co., Ltd., Wenshan 663700, China
  • Received:2022-03-15 Online:2023-05-25 Published:2023-06-08

Abstract: Due to factors such as loss of coherence between repeated SAR acquisitions, the interferograms are often very noisy. The quadtree filter can remove such discrete noise in unwrapped interferograms and obtain clean deformation results. A mining area in Yunnan is investigated, discussing how the minimum division window and the gross error threshold affect the performance of quadtree filtering. The surface deformation time series of the mining area is obtained using Sentinel-1 satellite data from 2019 to 2021. The results show that the mining area has significant surface deformation during our monitoring period, focusing mainly on three regions with both uplift and subsidence. The deformation time series present wave-like variations in the time domain. The maximum incremental subsidence and uplift are up to 67.3 and 79.4 mm in 12 days, respectively. The difference is $ \pm 10.9\;\mathrm{m}\mathrm{m} $ between InSAR and 41 repeated observations from 32 ground-based total stations.

Key words: InSAR, quadtree filtering, mining deformation, time series analysis

CLC Number: 

  • TD176
[1] DAI Y W, NG A H M, WANG H, et al. Modeling-assisted InSAR phase-unwrapping method for mapping mine subsidence [J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(6): 1059-1063.
[2] NG A H M, GE L L, DU Z Y, et al. Satellite radar interferometry for monitoring subsidence induced by longwall mining activity using Radarsat-2, Sentinel-1 and ALOS-2 data [J]. International Journal of Applied Earth Observation and Geoinformation, 2017, 61: 92-103.
[3] YUAN M Z, LI M, LIU H, et al. Subsidence monitoring base on SBAS-InSAR and slope stability analysis method for damage analysis in mountainous mining subsidence regions [J]. Remote Sensing, 2021, 13(16): 3107.
[4] 吴海翔. InSAR矿区沉降监测关键技术研究[D]. 广州: 广东工业大学, 2015.
[5] YANG Z F, LI Z W, ZHU J J, et al. Use of SAR/InSAR in mining deformation monitoring, parameter inversion, and forward predictions: a review [J]. IEEE Geoscience and Remote Sensing Magazine, 2020, 8(1): 71-90.
[6] GONG C G, LEI S G, BIAN Z F, et al. Using time series InSAR to assess the deformation activity of open-pit mine dump site in severe cold area [J]. Journal of Soils and Sediments, 2021, 21(11): 3717-3732.
[7] JONSSON S, ZEBKER H, SEGALL P, et al. Fault slip distribution of the 1999 Mw 7.1 Hector Mine, California, earthquake, estimated from satellite radar and GPS measurements [J]. Bulletin of The Seismological Society of America, 2002, 92(4): 1377-1389.
[8] GAO H, LIAO M S, FENG G C. An improved quadtree sampling method for InSAR seismic deformation inversion [J]. Remote Sensing, 2021, 13(9): 1678.
[9] PENG L C, WANG H, NG A H M, et al. SAR offset tracking based on feature points[J/OL]. Frontiers in Earth Science, 2022. https://doi.org/10.3389/feart.2021.724965.
[10] 彭林才. 基于特征点的偏移跟踪算法及其应用[D]. 广州: 广东工业大学, 2020.
[11] ROSEN P A, GURROLA E, SACCO G F, et al. The InSAR scientific computing environment[C]// 9th European Conference on Synthetic Aperture Radar. Nuremberg: VDE, 2012.
[12] GOLDSTEIN R M, WERNER C L. Radar interferogram filtering for geophysical applications [J]. Geophysical Research Letters, 1998, 25(21): 4035-4038.
[13] FARR T G, ROSEN P A, CARO E, et al. The shuttle radar topography mission [J]. Reviews of Geophysics, 2007, 45(2): 2005RG000183.
[14] GOLDSTEIN R M, ZEBKER H A, WERNER C L. Satellite radar interferometry: Two-dimensional phase unwrapping [J]. Radio Science, 1988, 23(4): 713-720.
[15] WANG H, WRIGHT T J, YU Y, et al. InSAR reveals coastal subsidence in the Pearl River Delta, China [J]. Geophysical Journal International, 2012, 191(3): 1119-1128.
[1] Hu Bo, Chen Bang-xin. Surface Deformation Monitoring and Influencing Factor Analysis Based on InSAR Technology [J]. Journal of Guangdong University of Technology, 2023, 40(01): 83-91.
[2] Chen Jia-wei, Ng Alex Hay-Man, Wang Hua, Chen Bing-jie. Surface Deformation Monitoring Based on Dual-polarization Time Series InSAR Technology [J]. Journal of Guangdong University of Technology, 2022, 39(03): 77-82.
[3] Guo Xiao-tong, Wang Hua, Ng Alex Hay-man, Bai Jun, Dai Quan. WebGIS-Based Management and Visualization System for Geodetic Deformation Datasets [J]. Journal of Guangdong University of Technology, 2020, 37(06): 50-55.
[4] Chen Wen-bin, Wang Hua, Alex Hay-Man Ng. A Comparison of 1" and 3" SRTM DEM on InSAR Deformation Monitoring in the Pearl River Delta [J]. Journal of Guangdong University of Technology, 2018, 35(02): 41-45.
[5] WU Hai-Xiang, WANG Hua, HUANG Xiu-Ru, Carolina Pagli, YANG Ze-Xin. Improving the Coherence of Interferograms of Mining Subsidence by Oversampling [J]. Journal of Guangdong University of Technology, 2015, 32(3): 123-126.
[6] Wang Hua, Peng Jiahui. Test on InSAR Atmospheric Delay Correction Using ECMWF Model [J]. Journal of Guangdong University of Technology, 2014, 31(2): 74-77.
[7] WANG Hua, LUO Li-Fang. Identifying Lake Boundaries in Tibet Using InSAR Coherence [J]. Journal of Guangdong University of Technology, 2014, 31(1): 118-120.
[8] Wang Hua. On the Method of Identifying Fault Location from InSAR Data [J]. Journal of Guangdong University of Technology, 2009, 26(2): 15-.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!