Comparison of L-band and X-band differential interferometric synthetic aperture radar for mine subsidence monitoring in central Utah
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  • 英文篇名:Comparison of L-band and X-band differential interferometric synthetic aperture radar for mine subsidence monitoring in central Utah
  • 作者:Jessica ; M.Wempen ; Michael ; K.McCarter
  • 英文作者:Jessica M.Wempen;Michael K.McCarter;Department of Mining Engineering, University of Utah;
  • 英文关键词:Mine subsidence;;DInSAR;;Terra SAR-X;;ALOS;;Interferometry
  • 中文刊名:ZHKD
  • 英文刊名:矿业科学技术(英文版)
  • 机构:Department of Mining Engineering, University of Utah;
  • 出版日期:2017-01-15
  • 出版单位:International Journal of Mining Science and Technology
  • 年:2017
  • 期:v.27
  • 基金:Funding for this research was provided by the National Institute for Occupational Health and Safety (NIOSH)
  • 语种:英文;
  • 页:ZHKD201701023
  • 页数:5
  • CN:01
  • ISSN:32-1827/TD
  • 分类号:148-152
摘要
Differential interferometric synthetic aperture radar(DIn SAR), a satellite-based remote sensing technique, has potential application for measuring mine subsidence on a regional scale with high spatial and temporal resolutions. However, the characteristics of synthetic aperture radar(SAR) data and the effectiveness of DIn SAR for subsidence monitoring depend on the radar band(wavelength). This study evaluates the effectiveness of DIn SAR for monitoring subsidence due to longwall mining in central Utah using L-band(24 cm wavelength) SAR data from the advanced land observing satellite(ALOS)and X-band(3 cm wavelength) SAR data from the Terra SAR-X mission. In the Wasatch Plateau region of central Utah, which is characterized by steep terrain and variable ground cover conditions, areas affected by longwall mine subsidence are identifiable using both L-band and X-band DIn SAR.Generally, using L-band data, subsidence magnitudes are measurable. Compared to X-band, L-band data are less affected by signal saturation due to large deformation gradients and by temporal decorrelation due to changes in the surface conditions over time. The L-band data tend to be stable over relatively long periods(months). Short wavelength X-band data are strongly affected by signal saturation and temporal decorrelation, but regions of subsidence are typically identifiable over short periods(days). Additionally,though subsidence magnitudes are difficult to precisely measure in the central Utah region using X-band data, they can often be reasonably estimated.
        Differential interferometric synthetic aperture radar(DIn SAR), a satellite-based remote sensing technique, has potential application for measuring mine subsidence on a regional scale with high spatial and temporal resolutions. However, the characteristics of synthetic aperture radar(SAR) data and the effectiveness of DIn SAR for subsidence monitoring depend on the radar band(wavelength). This study evaluates the effectiveness of DIn SAR for monitoring subsidence due to longwall mining in central Utah using L-band(24 cm wavelength) SAR data from the advanced land observing satellite(ALOS)and X-band(3 cm wavelength) SAR data from the Terra SAR-X mission. In the Wasatch Plateau region of central Utah, which is characterized by steep terrain and variable ground cover conditions, areas affected by longwall mine subsidence are identifiable using both L-band and X-band DIn SAR.Generally, using L-band data, subsidence magnitudes are measurable. Compared to X-band, L-band data are less affected by signal saturation due to large deformation gradients and by temporal decorrelation due to changes in the surface conditions over time. The L-band data tend to be stable over relatively long periods(months). Short wavelength X-band data are strongly affected by signal saturation and temporal decorrelation, but regions of subsidence are typically identifiable over short periods(days). Additionally,though subsidence magnitudes are difficult to precisely measure in the central Utah region using X-band data, they can often be reasonably estimated.
引文
[1]Buckley SM.Radar interferometry measurement of land subsidence.Austin(TX):The University of Texas at Austin;2000.
    [2]Massonnet D,Feigl KL.Radar interferometry and its application to changes in the Earth’s surface.Rev Geophys 1998;36(4):441-500.
    [3]Rosenqvist A,Shimada M,Watanabe M.ALOS PALSAR:technical outline and mission concept.In:Proceedings of the 4th international symposium on retrieval of bio-and geophysical parameters from SAR data for land applications.Innsbruck(Austria);2004.
    [4]Roth A.Terra SAR-X science plan.TX-PGS-PL-4001,vol.1;2004.p.2-19.
    [5]Chen BQ,Deng KZ,Fan HD,Hao M.Large-scale deformation monitoring in mining area by D-In SAR and 3D laser scanning technology integration.Int JMin Sci Technol 2013;23(4):555-61.
    [6]Carnec C,Delacourt C.Three years of mining subsidence monitored by SARinterferometry,near Gardanne,France.J Appl Geophys 2000;43(1):43-54.
    [7]Yang CS,Zhang Q,Zhao CY,Ji LY,Zhu W.Monitoring mine collapse by D-In SAR.Min Sci Technol 2010;20:0696-700.
    [8]Ge L,Chang HC,Rizos C.Mine subsidence monitoring using multi-source satellite SAR images.Photogram Eng Rem Sens 2007;73(3):259-66.
    [9]Ge L,Chang HC,Ng A,Rizos C.Spaceborne radar interferometry for mine subsidence monitoring in Australia.In:Proceedings of first international future mining conference and exhibition 2008.Carlton South(Victoria,Australia);2008.
    [10]Fan HD,Deng KZ,Ju CY,Zhu CG,Xue JQ.Land subsidence monitoring by DIn SAR technique.Min Sci Technol(China)2011;21(6):869-72.
    [11]Ismaya F,Donovan J.Applications of DIn SAR for measuring mine-induced subsidence and constraining ground deformation model.In:Proceedings of the Geo Congress 2012:state of the art practice in geotechnical engineering.Reston(VA);2012.
    [12]Ng AHM,Ge L,Yan Y,Li X,Chang HC,Zhang K,et al.Mapping accumulated mine subsidence using small stack of SAR differential interferograms in the Southern coalfield of New South Wales,Australia.Eng Geol 2010;115(1-2):1-15.
    [13]Perski Z.The interpretation of ERS-1 and ERS-2 In SAR data for the mining subsidence monitoring in Upper Silesian coal basin,Poland.Int Arch Photogram,Rem Sens Spat Inf Sci 2000;33:1137-41.
    [14]Perski Z,Jura D.Identification and measurement of mining subsidence with SAR interferometry:potential and limitations.In:Proceedings of 11th FIGsymposium on deformation measurements.Santorini(Greece);2003.p.25-8.
    [15]Popio?ek E,Krawczyk A.Post mining deformation monitoring based on satellite radar interferometry(In SAR).In:Proceedings of the 3rd IAG/12th FIG symposium.Baden(Austria);2006.p.22-4.
    [16]Wegmuller U,Spreckels V,Werner C,Strozzi T,Wiesmann A.Monitoring of mining induced surface deformation using L-band SAR interferometry.In:Proceedings of geoscience and remote sensing symposium,2005,IGARSS 05.Seoul(Korea);2005.
    [17]Wright P,Stow R.Detecting mining subsidence from space.Int J Remote Sens1999;20(6):1183-8.
    [18]Li XL,Liu DL,Song HJ,Chen RP,Li HY.Key technology of D-In SAR at X-Band for monitoring land subsidence in mining area and its application.J Electron2014;31(5):441-52.
    [19]Zhao C,Lu Z,Zhang Q,Yang C,Zhu W.Mining collapse monitoring with SARimagery data:a case study of Datong mine,China.J Appl Rem Sens 2014;8(1):5946-57.
    [20]Liu ZG,Bian ZF,LüFX,Dong BQ.Monitoring on subsidence due to repeated excavation with DIn SAR technology.Int J Min Sci Technol 2013;23(2):173-8.
    [21]Rosen PA.UNAVCO short course:principles and theory of radar interferometry.In:Presented at In SAR:an introduction to processing and applications using ISCE and GIAn T.Boulder(CO),August 4-6;2014.
    [22]Baran I,Stewart M,Claessens S.A new functional model for determining minimum and maximum detectable deformation gradient resolved by satellite radar interferometry.IEEE Trans Geosci Remote Sens 2005;43(4):675-82.
    [23]Arabasz WJ,Burlacu R,Pankow KL.An overview of historical and contemporary seismicity in central Utah.In:Central Utah-diverse geology of a dynamic landscape.Salt Lake City(UT):Utah Geological Association;2007.p.236-53.
    [24]Pankow KL,Mc Carter MK,Arabasz WJ,Burlacu RL.Coal-mining-induced seismicity in Utah-improving spatial resolution using double-difference relocations.In:Proceedings of 27st international conference on ground control in mining.Morgantown(WV):West Virginia University;2008.
    [25]Ellison L.Subalpine vegetation of the Wasatch Plateau,Utah.Ecol Monogr1954;24(2):89-184.
    [26]Doelling HH.Central Utah coal fields:Sevier-Sanpete,Wasatch Plateau,Book Cliffs and Emery.Salt Lake City(UT):Utah Geological and Mineralogical Survey;1972.
    [27]Monroe JK.Subsidence report canyon fuel company,LLC SUFCO.Salt Lake City(UT):Utah Division of Oil,Gas,and Mining,Department of Natural Resources;2014.
    [28]DLR.Terra SAR-X ground segment basic product specification document.TX-GS-DE-3302.Wessling(Germany):DLR.2013.
    [29]SARscapeò.User Guide.Purasca(Switzerland):Sarmap;2014.
    [30]Richards JA.Remote sensing with imaging radar.New York:Springer;2009.
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