Sentinel-1A数据矿区地表形变监测适用性分析

详细信息    查看全文 | 推荐本文 |

英文篇名：Applicability analysis of ground deformation monitoring in mining area by Sentinel-1A data 作者：白泽朝 ; 汪宝存 ; 靳国旺 ; 徐青 ; 张红敏 ; 刘辉 英文作者：BAI Zechao;WANG Baocun;JIN Guowang;XU Qing;ZHANG Hongmin;LIU Hui;Geospatial Information Institute,Information Engineering University;Institute of Surveying,Mapping and Geoinformation,Henan Provincial Bureau of Geo-Exploration and Mineral Development;School of Surverying and Geoinformatics,North China University of Water Resources and Electric Power; 关键词：合成孔径雷达干涉测量 ; Sentinel-1A ; 矿区形变 ; 形变梯度 ; 相干性 英文关键词：InSAR;;Sentinel-1A;;mine deformation;;deformation gradient;;coherence 中文刊名：GTYG 英文刊名：Remote Sensing for Land & Resources 机构：信息工程大学地理空间信息学院;河南省地质矿产勘查开发局测绘地理信息院;华北水利水电大学测绘与地理信息学院; 出版日期：2019-05-24 17:32 出版单位：国土资源遥感 年：2019 期：v.31;No.122 基金：河南省国土资源厅地质科研项目“基于HNGICS系统在采矿区三维形变监测技术研究”(编号:201413);; 国家自然科学基金项目“基于区域网平差的InSAR干涉参数定标新方法研究”(编号:41071296)和“InSAR连接点自动稳健提取理论与方法研究”(编号:41474010)共同资助 语种：中文; 页：GTYG201902030 页数：8 CN：02 ISSN：11-2514/P 分类号：213-220

摘要

针对合成孔径雷达干涉测量(interferometric synthetic aperture Radar,In SAR)技术监测矿区地表形变中形变位置确定、形变梯度估计和相干性之间的关系,利用Sentinel-1A数据开展In SAR技术矿区地表形变监测适用性研究,分析干涉图相干性、形变位置识别和形变梯度之间的响应关系。以河南省焦作市某矿区为研究区,实验结果表明,在暖温带半湿润季风气候条件下,裸地和村落地表类型全年保持较高相干性,目视识别可以有效确定矿区的形变位置,受村落周边农田的影响,部分形变范围无法准确确定,通过形变梯度函数模型验证形变梯度也在可检测的范围;农田覆盖类型夏季在卫星最短重访周期内,目视识别可以有效确定矿区的形变区域和范围,但受噪声影响条纹模糊,通过形变梯度函数模型验证形变梯度位于可检测最小形变梯度上;采用真实水准数据验证了村落地物类别模型的适用性。
        According to the relationship between the deformation position determination,the deformation gradient estimation and the coherence of the InSAR monitoring surface deformation in the mining area,the Sentinel-1 A data were used to study the applicability of the InSAR technique in the monitoring of the mining area. The experimental results show that the surface type of bare land and village is maintained at high coherence throughout the year under the condition of semi-humid monsoon climate in the warm and temperate zone in Henan Province.Visual identification can effectively determine the deformation position of the mining area. The deformation range can not be accurately determined by the deformation gradient function model. The deformation gradient is also within the range of the detectable range. The field coverage type can effectively determine the deformation of the mine in summer. In addition,the deformation gradient is located on the detectable minimum deformation gradient by using the deformation gradient function model. Furthermore,the applicability of the model is proved by the leveling data.

引文

[1]靳国旺,徐青,张红敏.合成孔径雷达干涉测量[M].北京:国防工业出版社,2014.Jin G W,Xu Q,Zhang H M. Synthetic Aperture Radar Interferometry[M]. Beijing:National Defense Industry Press,2014.
    [2]靳国旺,张红敏,徐青.雷达摄影测量[M].北京:测绘出版社,2015.Jin G W,Zhang H M,Xu Q. Radargrammetry[M]. Beijing:Surveying and Mapping Press,2015.
    [3]吴立新,高均海,葛大庆,等.工矿区地表沉陷D-In SAR监测试验研究[J].东北大学学报(自然科学版),2005,26(8):778-782.Wu L X,Gao J H,Ge D Q,et al. Experiental study on surface subsidence monitoring with D-InSAR in mining area[J]. Journal of Northeastern University(Natural Science),2005,26(8):778-782.
    [4]董玉森,Ge L L,Chang H C,等.基于差分雷达干涉测量的矿区地面沉降监测研究[J].武汉大学学报(信息科学版),2007,32(10):888-891.Dong Y S,Ge L L,Chang H C,et al. Mine subsidence monitoring by differential InSAR[J]. Geomatics and Information Science of Wuhan University,2007,32(10):888-891.
    [5]朱建军,邢学敏,胡俊,等.利用InSAR技术监测矿区地表形变[J].中国有色金属学报,2011,21(10):2564-2576.Zhu J J,Xing X M,Hu J,et al. Monitoring of ground surface deformation in mining area with InSAR technique[J]. The Chinese Journal of Nonferrous Metals,2011,21(10):2564-2576.
    [6]汪宝存,郭凌飞,王军见,等.矿区地表形变InSAR监测———以永城市为例[J].测绘与空间地理信息,2016,39(6):24-27.Wang B C,Guo L F,Wang J J,et al. Mining area surface deformation monitoring by InSAR:Taking Yongcheng City as an example[J]. Geomatics and Spatial Information Technology,2016,39(6):24-27.
    [7]刘广,郭华东,Ramon H,等. InSAR技术在矿区沉降监测中的应用研究[J].国土资源遥感,2008,20(2):51-55. doi:10.6046/gtzyyg. 2008. 02. 13.Liu G,Guo H D,Ramon H,et al. The application of InSAR technology to mining area subsidence monitoring[J]. Remote Sensing for Land and Resources,2008,20(2):51-55. doi:10. 6046/gtzyyg. 2008. 02. 13.
    [8]廖明生,王腾.时间序列InSAR技术与应用[M].北京:科学出版社,2014.Liao M S,Wang T. Time Series InSAR Technology and Application[M]. Beijing:Science Press,2014.
    [9]田馨. InSAR技术形变监测中的干涉条件研究[D].武汉:武汉大学,2013.Tian X. The Study on Interference Conditions Analysis for InSAR in Deformation Monitoring[D]. Wuhan:Wuhan University,2013.
    [10]葛大庆,王艳,范景辉,等.地表形变D-InSAR监测方法及关键问题分析[J].国土资源遥感,2007,19(4):14-22. doi:10.6046/gtzyyg. 2007. 04. 04.Ge D Q,Wang Y,Fan J H,et al. A study of surface deformation monitoring using differential SAR interferometry technique and an analysis of its key problems[J]. Remote Sensing for Land and Resources,2007,19(4):14-22. doi:10. 6046/gtzyyg. 2007. 04.04.
    [11]蒋弥,李志伟,丁晓利,等. InSAR可检测的最大最小变形梯度的函数模型研究[J].地球物理学报,2009,52(7):1715-1724.Jiang M,Li Z W,Ding X L,et al. A study on the maximum and minimum detectable deformation gradients resolved by InSAR[J].Chinese Journal of Geophysics,2009,52(7):1715-1724.
    [12] Jiang M,Li Z W,Ding X L,et al. Modeling minimum and maximum detectable deformation gradients of interferometric SAR measurements[J]. International Journal of Applied Earth Observation and Geoinformation,2011,13(5):766-777.
    [13] Baran I,Stewart M,Claessens S. A new functional model for determining minimum and maximum detectable deformation gradient resolved by satellite Radar interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,2005,43(4):675-682.