利用时间序列InSAR技术对珠江三角洲主要城市进行地面变形监测研究

doi:10.12052/gdutxb.180119

Abstract

Abstract: Time-series InSAR (TS-InSAR) technology is used to process the images of the Sentinel-1A satellite covering the Pearl River Delta region from December 12, 2015 to May 30, 2018, and invert the ground deformation information of Guangzhou, Foshan and Dongguan. The research results show that during the research period, the Guang-Fo area and Dongguan area were stable and partially settled. The settlement points were mainly concentrated in the densely populated areas of the factory and construction sites, and the reasons for the settlement were analyzed. It is proved that using Sentinel-1A to monitor the ground deformation in the Pearl River Delta can also achieve good results.

Key words: ground subsidence, persistent scatterer interferometry, groundwater, Guang-Fo area

CLC Number:

TU196

Dai Yi-wei, Alex Hay-Man Ng, Min Xin-ying, Wang Hua, Zhu Huan-lian, Peng Lin-cai. Ground Deformation Monitoring of Major Cities in the Pearl River Delta Region Using Time Series InSAR Technique[J].Journal of Guangdong University of Technology, 2019, 36(04): 92-98.

References

[1] FERRTTI A, PRATI C, ROCCA F. Permanent scatters in SAR interferometry[J]. IEEE Transcations on Geoscience and Remote Sensing, 2001, 39(1):8-20
[2] 王华, 俞永平, 蒋利龙. 利用合成孔径雷达干涉监测广州佛山地面沉降[J]. 测绘科学, 2014, 39(7):67-71 WANG H, YU Y P, JIANG L L. Monitoring land subsidence in Guangzhou and Foshan using InSAR[J]. Science of Surveying & Mapping, 2014, 39(7):67-71
[3] NG A H M, WANG H, DAI Y W, et al. InSAR reveals land deformation at Guangzhou and Foshan China between 2011 and 2017 with COSMO-SkyMed data[J]. Remote Sensing of Environment, 2018, 10(6):813
[4] KAMPES B. Radar Interferometry:Persistent Scatterer Technique[M]. Dordrecht, The Netherlands:Springer-Verlag, Spring, 2006:15-28.
[5] 廖明生, 王腾. 时间序列InSAR技术与应用[M]. 北京:科学出版社, 2014:79-82.
[6] BERARDINO P, FORNARO G, LANARI R, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferometry[J]. IEEE Aerospace and Electronic, 2002, 40(11):2375-2383
[7] FERRRTTI A, PRATI C, ROCCA F. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR in terferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5):2202-2212
[8] ZHAO Q, LIN H, JIANG L M, et al. A study of ground deformation in the Guangzhou urban area with Persisent Scatterer Interferometry[J]. Sensors, 2009, 9(1):503-518
[9] 夏法, 黄玉昆. 广东的地质灾害与地质环[J]. 自然灾害学报, 1995, 4(3):83-91 XIA F, HUANG Y K. Geological hazard and geological environment in Guangdong province[J]. Journal of Natural Disasters, 1995, 4(3):83-91
[10] 杜冬云. 8千口井狂抽佛山地下水[EB/OL]. (2006-11-16)[2018-08-25]. http://news.sina.com.cn/o/2006-11-16/064810514941s.shtml.
[11] 黄健民, 邓雄文, 胡让全. 广州金沙洲岩溶区地下水位变化与地面塌陷及地面沉降关系探讨[J]. 中国地质, 2015, 42(1):300-308 HUANG J M, DENG X W, HU R Q. The relationship between groundwater and ground collapse and land subsidence in Jinshazhou, Guangzhou City[J]. Geology in China, 2015, 42(1):300-308
[12] 王会强, 冯光财, 喻永平, 等. 基于C波段和L波段的SBAS-InSAR技术监测广州地面沉降[J]. 测绘工程, 2016, 25(4):60-64 WANG H Q, FENG G C, YU Y P, et al. Ground subsidence monitoring in Guangzhou with SBAS-InSAR technique based on C-and L-band[J]. Engineering of Surveying and mapping, 2016, 25(4):60-64
[13] Ng, A H M, GE L L, L X J, et al. Monitoring ground deformation in Beijing, China with persistent scatterer SAR interferometry[J]. Journal of Geodesy, 2012, 86(6):375-392
[14] Du Z Y, GE L L, NG A H M, et al. Mapping land subsidence over the eastern Beijing city using satellite radar interferometry[J]. International Journal of Digital Earth, 2018, 11(5):504-519
[15] 李欢. 佛山地铁2号线事故11死1失踪33名责任人员被处理[N]. 广州日报, 2018-07-31(FSA15).
[16] 郑睿. 佛山地铁2号线事故原因初步查明:系地铁工地突发透水[EB/OL].(2018-02-08)[2018-08-25]. http://news.cnr.cn/local/tj/20180208/t20180208_524129724.Shtml.
[17] 张小玲. 地下水偷采严重:深圳修法应对[N]. 南方都市报, 2016-05-17(SA07).

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

Ground Deformation Monitoring of Major Cities in the Pearl River Delta Region Using Time Series InSAR Technique

HTML

PDF (PC)

Abstract

Cite this article

share this article

References

Related Articles 4

Metrics

Comments

Recommended 0

[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]	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.
[4]	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.