• DocumentCode
    2131635
  • Title

    The study of method in monitoring mineral environment with remote sensing technology

  • Author

    Pei-Juan, Wang ; Su-Hong, Liu ; Qi-Jiang, Zhu ; Xiao-Ying, Guo

  • Author_Institution
    Res. Center for Remote Sensing & GIS, Beijing Normal Univ., China
  • Volume
    1
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Lastpage
    585
  • Abstract
    Dexing Copper Mine, locating in the upper river of Dawu River and Le´an River in Jiangxi Province, is the largest copper mineral base in China. The development of the mine results in local environment degradation. This paper presents the method to monitor the local environment based on the remotely sensed images and field spectral data. Choosing remotely sensed images, TM data and ETM data in different time series, as well as field spectral data measured in October, 2002, the field spectral data are resampled in accordance with Gaussian Function. The vegetation spectral change around the mine is described with reflectance curve qualitatively, at the same time water pollution is shown quantificationally with Spectral Angel Mapping (SAM) method. The computed result fits with the ground truth very well.
  • Keywords
    Gaussian processes; copper; minerals; mining; remote sensing; rivers; water pollution; AD 2002 10; China; Dawu River; Dexing Copper Mine; ETM data; Gaussian Function; Jiangxi Province; Le´an River; SAM method; Spectral Angel Mapping; TM data; Thematic Mapper; copper mineral base; environment degradation; field spectral data; mine development; mineral environment monitoring; qualitative reflectance curve; remote sensing technology; vegetation spectral change; water pollution; Copper; Degradation; Minerals; Pollution measurement; Reflectivity; Remote monitoring; Rivers; Time measurement; Vegetation mapping; Water pollution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369094
  • Filename
    1369094