Land Subsidence Monitoring and Analyzing of Cangzhou Area Sentinel-1A/B Based Time Series InSAR

doi:10.13474/j.cnki.11-2246.2017.0230

Abstract

Abstract: The surface average subsidence rate and oumulative subsidence of Cangzhou area from November 2015 to November 2016 were obtained with 22 scences of Sentinel-1A/B SAR imagery respective by PS-InSAR and SBAS-InSAR techniques. The annual and accumulative subsidences from both time-series analysis methods had a high coherence with each other. The monitoring results indicated that the ground surface of Xian County,Cang County,Cangzhou urban area had a rebound trend; Qing County,the east of Cang County,the west of Nanpi County and Dongguang County experienced obvious subsidence, especially the accumulating subsidence in Hezhuang village of Dongguang County reached 47 mm.The main reason leading to these obvious subsidences was the over-exploitation of ground-water for agriculture.Moreover, it discussed the application of Sentinel-1A/B SAR images in monitoring urban subsidence and the results would provide important references for the relevant departments.

Key words: Sentinel-1, InSAR, Cangzhou area, urban land subsidence

CLC Number:

P237

ZHOU Hongyue, WANG Yunjia, YAN Shiyong, WU Yue, LIU Xixi. Land Subsidence Monitoring and Analyzing of Cangzhou Area Sentinel-1A/B Based Time Series InSAR[J]. 测绘通报, 2017, 0(7): 89-93.

References

[1] 邱志伟,岳建平,汪学琴,等. 基于短基线集技术的城市地表沉降监测研究[J]. 测绘通报, 2016(7):25-29.
[2] 李永生,申文豪,温扬茂,等.2015年尼泊尔Mw7.8地震震源机制InSAR反演及强地面运动模拟[J]. 地球物理学报,2016(4):1359-1370.
[3] 何秀凤,仲海蓓,何敏. 基于PS-InSAR和GIS空间分析的南通市区地面沉降监测[J]. 同济大学学报(自然科学版),2011,39(1):129-134.
[4] OSCARM,JORDI JM,ANTONI B.Linear and Nonlinear Terrain Deformation Maps from a Reduced Set of Inter Ferometric SAR Images[J]. IEEE Transactions on Geoscience and Remote Sensing,2003,41(10):2243-2253.
[5] 陈强,丁晓利,刘国祥. PS-DInSAR公共主影像的优化选取[J].测绘学报,2007,36(4):395-399.
[6] LIZ W, DINGX L, HUANGC et al. Modeling of Atmospheric Effects on InSAR Measuerments by Incorporating Terrain Elevation Information[J]. Journal of Atmospheric and Solar Rerrestrial Phusics, 2006,68(11):1189-1194.
[7] 何庆成,刘文波,李志明.华北平原地面沉降调查与监测[J]. 高校地质学报,2006(2):195-209.
[8] 张玲,葛大庆,郭小方,等.近十年来沧州地区地面沉降演化状况[J]. 上海国土资源,2014(4):72-75,80.
[9] 戴绍志.沧州全力治理地下水超采——六年间深层漏斗中心水位回升16米[N].河北日报,2014-08-12(10).
[10] 王凤瑞. 沧州市2015年"8·31"暴雨积水影响分析[J]. 海河水利,2016(4):35-36,55.
[11] 吴文豪,李陶,陈志国,等. Sentinel-1A卫星TOPS模式数据干涉处理[J].测绘通报,2016(2):42-45.
[12] 陈俊勇.对SRTM3和GTOPO30地形数据质量的评估[J]. 武汉大学学报(信息科学版),2005,30(11):4-7.
[13] 刘予伟.关井压采解决沧州市地下水超采方案[EB/OL].2009-06-05[2016-12-17].http://www.cjh.com.cn/pages/2009-06-05/137361.html.
[14] 回凤林,哈建强,刘国强. 2016年沧州市汛期雨水情特点[EB/OL].2016-09-13[2016-12-18]. http://www.hbsw.net/shuiwenwenhua/shuiwenwenxue/2016-09-13/21967.html.

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