• DocumentCode
    2320516
  • Title

    The application of remote sensing technology in monitoring environmental disasters of mining cites

  • Author

    Yang, SHAO ; Shao Yang ; Ma Guichen ; Qin Zhenzhen

  • Author_Institution
    Sch. of Geomatics, Liaoning Tech. Univ., Fuxin, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Aiming at the increasingly serious pollution and ecological damage in mining cites, environmental information urgently are urgently needed to provide basis and decision-making for the economic transition of mining cites. This article describes main environmental problems existing in mining cites, as well as ways of monitoring these major environmental problems, such as the Landsat TM images are used in Land use dynamic monitoring, High Spectrum Images are used in the extracted vegetation monitoring, and the water quality change is monitored by the way of NOAA / AVHRR. Particularly, the effectual way of the Interferometric Synthetic Aperture Radar (InSAR) landslides monitoring is introduced, which is well applied to the opencast mine of Haizhou and Fushun in China with this technology. Differential interferometry using Synthetic Aperture Radar (SAR) is a powerful technology for detecting surface deformation of ground. Surface deformation can be analyzed from different phase of micro-wave between two observed data by SAR. The accuracy of measurement is less than plus-and-minus 1 cm. Achieved research results will provide early warning of environment disasters, rapid & real-time information and interpretation means for the mining cites.
  • Keywords
    air pollution; decision making; deformation; digital elevation models; disasters; ecology; environmental factors; geomorphology; industrial pollution; land pollution; mining industry; radar interferometry; remote sensing by radar; synthetic aperture radar; vegetation; water resources; AVHRR; Advanced Very High Resolution Radiometer; China; DEM data; Fushun; Haizhou; InSAR; Landsat TM image; NOAA; National Oceanic and Atmospheric Administration; air pollution; decision making; desertification; digital elevation model; ecology; environment disaster monitoring; environmental pollution; extracted vegetation monitoring; high spectrum image; industrial pollution; interferometric synthetic aperture radar; land degradation; land use dynamic monitoring; landslide monitoring; mining city; remote sensing technology; soil erosion; surface deformation detection; water quality change; Decision making; Environmental economics; Environmental factors; Pollution; Power generation economics; Remote monitoring; Remote sensing; Satellites; Synthetic aperture radar; Synthetic aperture radar interferometry; differential interferometry; opencast mine landslide monitoring; satellite observation; surface subsidence deformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137590
  • Filename
    5137590