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首页> 外文期刊>International journal of remote sensing >Investigation on mining subsidence over Appin-West Cliff Colliery using time-series SAR interferometry
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Investigation on mining subsidence over Appin-West Cliff Colliery using time-series SAR interferometry

机译：时间序列SAR干涉法研究Appin-West悬崖煤矿的开采沉陷

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摘要

Advanced Time Series InSAR (ATS-InSAR) generally refers to those TS-InSAR methods with an external distributed scatterer selection module, e.g. SqueeSAR (TM), and GEOS-ATSA (Advanced Time-Series Analysis). It is being known as a very efficient tool for monitoring ground deformation over suburban or non-urban regions with great success. However, research conducted using C-band Envisat-based ATS-InSAR failed to produce reasonable outcome within Appin Colliery primarily due to the underground mining effect, which is located in the southeastern corner of the Southern Coalfield, New South Wales, Australia; thus, the general underground mining pattern cannot be formed. This work presents a modified ATS-InSAR method for mapping the ground deformation over underground mining region. More specifically, in order to achieve the best outcome, a modified measurement scatterer (MS) pixel selection method is introduced by including less reliable MS pixels through an Inverse Distance Weighted-based integration method. In addition, the proposed method is also applied to C-band Sentinel-1 image stacks for testing purpose, and the final result proved to be efficient to offer sufficient information to the mining industry and government for risk management purpose.
机译：高级时间序列InSAR（ATS-InSAR）通常是指那些带有外部分布式散射体选择模块的TS-InSAR方法，例如SqueeSAR（TM）和GEOS-ATSA（高级时间序列分析）。它被认为是监测郊区或非城市地区地面变形的非常有效的工具，并取得了巨大的成功。然而，使用基于C波段Envisat的ATS-InSAR进行的研究未能在Appin煤矿内产生合理的结果，这主要是由于地下采矿效应，该效应位于澳大利亚新南威尔士州南部煤田的东南角；因此，无法形成一般的地下采矿模式。这项工作提出了一种改进的ATS-InSAR方法，用于绘制地下采矿区域的地面变形图。更具体地说，为了获得最佳结果，通过基于逆距离加权的积分方法包括可靠性较差的MS像素，引入了改进的测量散射（MS）像素选择方法。此外，该方法还应用于测试目的的C波段Sentinel-1图像堆栈，最终结果证明可以有效地为采矿业和政府提供足够的信息以进行风险管理。

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  • 来源
    《International journal of remote sensing》 |2018年第6期|1528-1547|共20页
  • 作者

    Du Zheyuan; Ge Linlin; Ng Alex Hay-Man; Li Xiaojing;

  • 作者单位

    UNSW Australia, Sch Civil & Environm Engn, Geosci & Earth Observing Syst Grp GEOS, Sydney, NSW, Australia;

    UNSW Australia, Sch Civil & Environm Engn, Geosci & Earth Observing Syst Grp GEOS, Sydney, NSW, Australia;

    UNSW Australia, Sch Civil & Environm Engn, Geosci & Earth Observing Syst Grp GEOS, Sydney, NSW, Australia;

    UNSW Australia, Sch Civil & Environm Engn, Geosci & Earth Observing Syst Grp GEOS, Sydney, NSW, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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