InSAR矿区地表三维形变监测与预计研究进展

doi:10.11947/j.AGCS.2019.20180188

测绘学报 ›› 2019, Vol. 48 ›› Issue (2): 135-144.doi: 10.11947/j.AGCS.2019.20180188

• 综述 • 下一篇

InSAR矿区地表三维形变监测与预计研究进展

朱建军^1,2, 杨泽发^1,2, 李志伟^1,2

1. 中南大学地球科学与信息物理学院, 湖南长沙 410083;
2. 有色金属成矿预测与地质环境监测教育部重点实验室(中南大学), 湖南长沙 410083

收稿日期:2018-04-23 修回日期:2018-08-20 出版日期:2019-02-20 发布日期:2019-03-02
通讯作者: 杨泽发 E-mail:yangzf@csu.edu.cn
作者简介:朱建军(1962-),男,教授,博士生导师,研究方向为测量平差与InSAR数据处理。E-mail:zjj@mail.csu.edu.cn
基金资助:
国家自然科学基金（41474008；41474007）；国际（地区）合作与交流项目（41820104005）

Recent progress in retrieving and predicting mining-induced 3D displace-ments using InSAR

ZHU Jianjun^1,2, YANG Zefa^1,2, LI Zhiwei^1,2

1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2. Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring(Central South University), Ministry of Education, Changsha 410083, China

Received:2018-04-23 Revised:2018-08-20 Online:2019-02-20 Published:2019-03-02
Supported by:
The National Natural Science Foundation of China (Nos. 41474008;41474007);The Major International (Regional) Joint Research Project of China (No. 41820104005)

摘要/Abstract

摘要：

首先，介绍了InSAR地表形变监测技术的基本原理和技术特点；然后，对当前InSAR矿区地表三维形变监测方法做了系统性分类，并探讨了各自的优缺点和适用范围；之后，综述了当前InSAR矿区地表三维形变预计方法的研究现状和进展；最后，归纳梳理了InSAR矿区三维形变监测预计在多源数据融合和沉降机理分析等方面的前沿问题。

关键词: InSAR, 开采沉陷, 地质灾害, 综述

Abstract:

This paper firstly presents the basic principle of InSAR techniques in monitoring surface deformations. Then, the existing InSAR-based approaches for retrieving mining-induced 3D displacements are classified, and their technique features and application scopes are also analyzed. Subsequently, the research progress of InSAR-based 3D deformation prediction of mining areas is demonstrated. Finally, some potential research topics in retrieving and predicting mining-induced 3-D displacements using InSAR, such as integrating multi-source data and the analysis of mining subsidence mechanism, are demonstrated.

Key words: InSAR, mining subsidence, geo-hazards, review

中图分类号:

P237
TD17

朱建军, 杨泽发, 李志伟. InSAR矿区地表三维形变监测与预计研究进展[J]. 测绘学报, 2019, 48(2): 135-144.

ZHU Jianjun, YANG Zefa, LI Zhiwei. Recent progress in retrieving and predicting mining-induced 3D displace-ments using InSAR[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(2): 135-144.

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InSAR矿区地表三维形变监测与预计研究进展

Recent progress in retrieving and predicting mining-induced 3D displace-ments using InSAR

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