利用DS-InSAR技术监测沛北矿区地表形变

doi:10.13474/j.cnki.11-2246.2021.0056

测绘通报 ›› 2021, Vol. 0 ›› Issue (2): 117-121.doi: 10.13474/j.cnki.11-2246.2021.0056

利用DS-InSAR技术监测沛北矿区地表形变

蒋金雄^1,2, 杜玉玲^1,2, 陈宇^1,2, 刘广³, 闫世勇^1,2

1. 自然资源部国土环境与灾害监测重点实验室, 江苏徐州 221116;
2. 中国矿业大学环境与测绘学院, 江苏徐州 221116;
3. 中国科学院空天信息创新研究院, 北京 100094

收稿日期:2020-04-13 出版日期:2021-02-25 发布日期:2021-03-09
作者简介:蒋金雄(1996-),男,硕士生,主要从事雷达遥感应用方面的研究。E-mail:jjx@cumt.edu.cn
基金资助:
国家自然科学基金（41804013）；江苏省自然科学基金（BK20180666）

Monitoring and analysis of surface deformation in Peibei mining region based on DS-InSAR technique

JIANG Jinxiong^1,2, DU Yuling^1,2, CHEN Yu^1,2, LIU Guang³, YAN Shiyong^1,2

1. MNR Key Laboratory of Land Environment and Disaster Monitoring, Xuzhou 221116, China;
2. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China;
3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

Received:2020-04-13 Online:2021-02-25 Published:2021-03-09

摘要/Abstract

摘要： 针对采空区地表散射特性不稳定、高相干点目标少且分布不均匀的特点，本文基于相干矩阵特征值分解（T-EVD）的DS-InSAR技术，利用Sentinel-1A数据获取并分析了徐州沛北矿区2017年1月-2018年12月的地表沉降特征。与常规时序InSAR监测对比表明，融合分布式目标的DS-InSAR技术监测点数量显著增加且空间分布更加均匀，能够更好地反映矿区地表沉降的时空分布特征，为煤炭枯竭型矿区地表沉降规律分析和机理研究提供了先进的技术支撑，在采空区地表沉降监测方面具有良好的应用前景。

关键词: 沛北矿区, 特征值分解, DS识别, DS-InSAR技术, 沉降特征分析

Abstract: The conventional time series InSAR is usually limited by few and uneven spatial distributed targets of relative high coherence as well as the variable scatterring characteristics of ground surface. In this paper, the DS-InSAR technique based on coherent matrix eigenvalue decomposition(T-EVD) and Sentinel-1A imagery are employed to obtain and analyze the surface subsidence characteristics of Xuzhou Peibei mining region during the period from January 2017 to December 2018. Compared with the traditional time series InSAR method, the advantages of DS-InSAR are yielded by significantly increasing monitoring points and corresponding uniform spatial distribution, which could better reflect the complex spatial and temporal distribution characteristics of surface subsidence in coal exhausted mining regions and provide technical support for mechanism research. Therefore, DS-InSAR technique has a good application prospect in the surface subsidence monitoring over mining goaf.

Key words: Peibei mining region, eigenvalue decomposition, DS identification, DS-InSAR technique, deformation characteristics analysis

中图分类号:

P237
P258

蒋金雄, 杜玉玲, 陈宇, 刘广, 闫世勇. 利用DS-InSAR技术监测沛北矿区地表形变[J]. 测绘通报, 2021, 0(2): 117-121.

JIANG Jinxiong, DU Yuling, CHEN Yu, LIU Guang, YAN Shiyong. Monitoring and analysis of surface deformation in Peibei mining region based on DS-InSAR technique[J]. Bulletin of Surveying and Mapping, 2021, 0(2): 117-121.

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利用DS-InSAR技术监测沛北矿区地表形变

Monitoring and analysis of surface deformation in Peibei mining region based on DS-InSAR technique

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