| D-InSAR技术在矿区形变监测中的应用研究 |
| |
| 引用本文： | 娄明明,季民,张自发,张广学,房振.D-InSAR技术在矿区形变监测中的应用研究[J].测绘与空间地理信息,2021,44(1):141-144,148. |
| |
| 作者姓名： | 娄明明 季民 张自发 张广学 房振 |
| |
| 作者单位： | 山东科技大学 测绘科学与工程学院,山东 青岛266590;山东科技大学 测绘科学与工程学院,山东 青岛266590;鄂尔多斯市营盘壕煤炭有限公司,内蒙古 鄂尔多斯017300;鄂尔多斯市营盘壕煤炭有限公司,内蒙古 鄂尔多斯017300;鄂尔多斯市营盘壕煤炭有限公司,内蒙古 鄂尔多斯017300 |
| |
| 摘 要： | D-InSAR技术作为20世纪90年代发展起来的新型空间对地观测技术,凭借着全天候、全天时、高分辨率和连续空间覆盖的特点得到了广泛的应用。本文介绍了D-InSAR技术的基本原理和处理流程,以内蒙古营盘壕煤矿为例,利用哨兵数据,通过二轨差分干涉测量方法得到沉降数据。在ArcGIS中通过对沉降区域的提取、剖面分析和叠加分析来研究分析工作面上方的地表沉降信息1-3]。最终将所得的数据与传统的GPS数据进行对比分析,验证了D-InSAR技术在矿区地面沉降监测的可行性。
|
| 关 键 词： | D-INSAR技术 矿区形变监测 哨兵数据 |
Research on Application of D-InSAR Technology in Deformation Monitoring of Mining Area |
| |
| LOU Mingming,JI Min,ZHANG Zifa,ZHANG Guangxue,FANG Zhen.Research on Application of D-InSAR Technology in Deformation Monitoring of Mining Area[J].Geomatics & Spatial Information Technology,2021,44(1):141-144,148. |
| |
| Authors: | LOU Mingming JI Min ZHANG Zifa ZHANG Guangxue FANG Zhen |
| |
| Institution: | (School of Surveying and Mapping Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China;Ordos City Yingpanhao Coal Co.,Ltd.,Inner Mongolia Autonomous Region Ordos 017300,China) |
| |
| Abstract: | As a new space-to-earth observation technology developed in the 1990s,D-InSAR technology has been widely used with the advantages of all-weather,all-day,high-resolution,and continuous space coverage.This paper introduces the basic principle and data processing flow of D-InSAR technology.Taking the Yingpanhao coal mine in Inner Mongolia as an example,using the sentinel data,the subsidence data is obtained by the two-track differential interferometry.In ArcGIS,the surface subsidence information above the working face is analyzed by subsidence area extraction,profile analysis,and superposition analysis.Finally,the obtained data is compared with the traditional GPS data to verify the feasibility of D-InSAR technology in the ground subsidence monitoring. |
| |
| Keywords: | D-InSAR technology mine deformation monitoring sentinel data |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
