A multi-source land subsidence monitoring data fusion method and its application

doi:10.13474/j.cnki.11-2246.2023.0313

Abstract

Abstract: In this paper, the fusion of multi-source ground subsidence monitoring data is carried out by using three technical means: precision level, GNSS and time-series InSAR. Firstly, the spatial and temporal references of the three monitoring means are unified, then the Bland-Altman method is used to analyze the consistency of monitoring results, and the model relationship among monitoring data is established by the surface fitting method, and the surface monitoring results that integrated the advantages of precision level, GNSS and time-series InSAR are obtained. The results show that the main subsidence areas in the study area are located in Anguo town, Longgu town, Zhuzhai town, Datun street and Fengxian Sub-Fengcheng street of Pei county, and mineral resource exploitation is the main factor leading to regional subsidence. The maximum subsidence rate during the monitoring cycle is 29.8 mm/a, and the subsidence area with ground subsidence rate over 10 mm/a is 2 018.8 km², accounting for 61.9% of the total area.

Key words: land subsidence monitoring, time series InSAR, GNSS, leveling, data fusion

CLC Number:

GAO Jiandong, WANG Yong, AN Jianglei, JIANG Jundi. A multi-source land subsidence monitoring data fusion method and its application[J]. Bulletin of Surveying and Mapping, 2023, 0(10): 158-162,172.

References

[1] 崔振东,唐益群. 国内外地面沉降现状与研究[J]. 西北地震学报,2007,29(3): 275-278.
[2] 蔡田露,龚绪龙,卢毅,等. 江苏沿海地区InSAR精度评定与多源数据验证[J]. 遥感技术与应用,2020,35(6): 1426-1435.
[3] 朱建军,李志伟,胡俊. InSAR变形监测方法与研究进展[J]. 测绘学报,2017,46(10): 1717-1733.
[4] FUHRMANN T,CARO CUENCA M,KNÖPFLER A,et al. Combining InSAR,levelling and GNSS for the estimation of 3D surface displacements[C]//Proceedings of Fringe 2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop.[S.l.]:European Space Agency, 2015.
[5] MOTAGH M,DJAMOUR Y,WALTER T R,et al. Land subsidence in Mashhad Valley,northeast Iran: results from InSAR,levelling and GPS[J]. Geophysical Journal International,2007,168(2): 518-526.
[6] 韩红超,符华年,张文峰,等. InSAR、水准多维沉降监测体系建设及应用研究[J]. 测绘通报,2019(S1): 236-241.
[7] 岳建平,方露. 城市地面沉降监控技术研究进展[J]. 测绘通报,2008(3): 1-4.
[8] 黄其欢,王青青,何宁,等. PSI技术应用于防波堤沉降监测研究[J]. 岩土工程学报,2019,41(4): 761-768.
[9] 王爱国,张殿江,张雪锋,等. GNSS精化高程与拟合高程一致性分析与检验[J]. 测绘科学,2017,42(11): 31-34,46.
[10] 吴岳. TOPS模式Sentinel-1数据地面沉降监测研究[D]. 徐州: 中国矿业大学,2017.
[11] 王文利,郭春喜,丁黎,等. 全国一等水准点高程近20年变化分析[J]. 测绘学报,2019,48(1): 1-8.
[12] BERARDINO P,FORNARO G,LANARI R,et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing,2002,40(11): 2375-2383.
[13] 李辉,卫星,朱哲,等. 基于SBAS-INSAR技术的抚顺市矿区地表沉陷监测与分析[J]. 测绘与空间地理信息,2021,44(7): 173-175,178.
[14] 姜德才,张继贤,张永红,等. 百年煤城地表沉降融合PS/SBAS InSAR监测: 以徐州市为例[J]. 测绘通报,2017(1): 58-64.
[15] 袁力. 徐州矿区绿色生态修复治理实践与思考[J]. 矿山测量,2020,48(6): 136-139.