地球信息科学学报 ›› 2023, Vol. 25 ›› Issue (12): 2402-2417.doi: 10.12082/dqxxkx.2023.220779

• 2023年第十八届中国地理信息科学理论与方法学术年会优秀论文 • 上一篇    下一篇

融合主成分时空分析与时序InSAR的高精度地表形变信息提取——以徐州地区为例

陈宇1,2,*(), 陈思2, 李杰2, 李怀展1,2, 高延东1,2, 王勇3, 杜培军4   

  1. 1.中国矿业大学 自然资源部国土环境与灾害监测重点实验室,徐州 221116
    2.中国矿业大学环境与测绘学院,徐州 221116
    3.江苏省测绘工程院 导航定位中心,南京 210013
    4.南京大学地理与海洋科学学院,南京 210023
  • 收稿日期:2022-09-30 修回日期:2023-01-18 出版日期:2023-12-25 发布日期:2023-12-05
  • 作者简介:陈 宇(1988— ),女,河北唐山人,博士,副教授,主要从事InSAR地表形变监测与误差分析方向的研究。E-mail: chenyu@cumt.edu.cn
  • 基金资助:
    国家自然科学基金项目(42171312);国家自然科学基金项目(42001409);江苏省地质矿产勘查局科研项目(2021KY08)

High Precision Extraction of Surface Deformation Information Based on Principal Component Spatiotemporal Analysis and Time-series InSAR: Taking Xuzhou as an Example

CHEN Yu1,2,*(), CHEN Si2, LI Jie2, LI Huaizhan1,2, GAO Yandong1,2, WANG Yong3, DU Peijun4   

  1. 1. Key Laboratory for Land Environment and Disaster Monitoring (Ministry of Natural Resources), China University of Mining and Technology, Xuzhou 221116, China
    2. School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
    3. Navigation and Positioning Center, Jiangsu Provincial Surveying and Mapping Engineering Institute, Nanjing 210013, China
    4. School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  • Received:2022-09-30 Revised:2023-01-18 Online:2023-12-25 Published:2023-12-05
  • Contact: *CHEN Yu, E-mail: chenyu@cumt.edu.cn
  • Supported by:
    National Natural Science Foundation of China(42171312);National Natural Science Foundation of China(42001409);Jiangsu Geology & Mineral Exploration Bureau Science and Technology Plan Project(2021KY08)

摘要:

城市地区常因基础设施建设和资源开采产生不同程度地表形变,威胁居民的生命财产安全,定期进行城市地表形变监测对预防相关地质灾害具有重要意义。城市地表形变具有量级较小和连续缓慢的特点,因此须对误差进行精细处理以提高监测精度。本文提出了融合主成分时空分析和时序InSAR (Interferometric Synthetic Aperture Radar)的高精度地表形变提取方法,通过对时序InSAR信号的挖掘与分析,构建地表形变模型,结合多项式函数,实现误差及噪声的分层估计,以提取高精度小量级的地表形变信息。以典型地质灾害易发城市徐州作为研究区进行方法应用,结果表明:方法能精细分离时序InSAR信号中的地表形变信息和误差,形变监测精度较现有方法提高10%~57%; 2018—2022年,徐州地表形变速率约 -17~35 mm/a,分布在城区、地铁沿线及老采空区;近8年,城市建设不断引发局部沉降区,老采空区次生形变可持续6年以上,且多个矿区地表仍处于不稳定状态。研究结果可为城市地表形变高精度监测和潜在地质灾害防治提供重要技术支撑和决策支持。

关键词: 主成分时空分析, 时序InSAR, 地表形变, 高精度, 徐州市, 老采空区, 城市建设, 关闭矿井次生形变

Abstract:

Urban areas often suffer from varying degrees of land surface deformation due to infrastructure construction and resources exploitation, which threatens the safety of residents' lives and property. So regular monitoring of urban surface deformation is of great significance for preventing related geological disasters. However, urban surface deformation has the characteristics of small-scale and continuous-slow change, it is necessary to process the error carefully in order to improve the monitoring accuracy. This paper proposes a high-precision surface deformation extraction method combining the principal component spatiotemporal analysis and time-series Interferometric Synthetic Aperture Radar (InSAR). Through the mining and analysis of time-series InSAR signals, a surface deformation model combined with polynomial functions is constructed to realize the hierarchical estimation of error and noise signals. Then the high-precision, small-scale surface deformation information is extracted. Taking Xuzhou, a typical city prone to geological disasters, as the research area, the results show that the proposed method can accurately separate the surface deformation information and error in the time-series InSAR signal, and the deformation monitoring accuracy is 10%~57% higher than other existing methods. The deformation rate from 2018 to 2022 is about -17~35 mm/a in Xuzhou, which is mainly distributed in the urban area, along the subway and in the old goaf. In recent 8 years, urban construction has continuously triggered local subsidence areas, the secondary deformation of the old goaf can last for more than 6 years, and the surface of several mining areas is still in an unstable state. The results can provide important technical support and decision support for high-precision monitoring of urban surface deformation and prevention of potential geological disasters.

Key words: principal components spatiotemporal analysis, time-series interferometric synthetic aperture radar technology, land surface deformation, high precision, Xuzhou, old goaf, urban construction, secondary deformation of closed mine