• DocumentCode
    2713250
  • Title

    Mining subsidence monitoring using ALOS satellite data

  • Author

    Gong, Yun

  • Author_Institution
    Coll. of Geol. Eng. & Geomatics, Chang´´an Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    InSAR (Synthetic Aperture Radar Interferometry) and D-InSAR technique is a more speedy deveolpping microwave remote sensing technique in recent years. The key problem that makes use of an InSAR data to carry on monitoring surface is: the biggest deformation monitor gradient of object is bigger than the biggest deformation gradient that InSAR can monitor, result in a serious decoherence phenomemon, the ALOS satellite L band data has a longer wavelength, its monitoring gradient also is more large, has an advantage in the mining area. This paper takes BinChang mine area in Shaanxi as a study region and interferes with data of the ALOS image, then get interference figure, deformation distribute figure, on this foundation, adopted the related question of accident monitor to carry on vs the mine area earth´s surface concerning the theory and the technique study.
  • Keywords
    geomorphology; geophysical image processing; geophysical techniques; mining; radar interferometry; remote sensing by radar; synthetic aperture radar; ALOS image; ALOS satellite L band data; BinChang mine area; China; D-InSAR technique; InSAR data; Shaanxi; deformation distribute figure; deformation monitor gradient; interference figure; microwave remote sensing technique; mining area; mining subsidence monitoring; surface deformation; Area measurement; Coal mining; Data mining; Earth; Monitoring; Satellites; Sensors; ALOS; deformation monitoring; monitoring gradient; surface deformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981107
  • Filename
    5981107