• DocumentCode
    2092010
  • Title

    Hyperspectral imagery in mine waste management

  • Author

    Brunn, Andreas

  • Author_Institution
    Inst. of Geotechnical Eng. & Mine Surveying, Technische Univ. Clausthal, Germany
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    290
  • Abstract
    Due to legal requirements and an increasing decline in the population in Germany every mining company is obliged to build up a monitoring system for the planning and running of the mining activities. For the one existing hard coal mining company "Deutsche Steinkohle AG" (DSK) beneath an accurate "Digital Terrain Model" (DTM) the most important information that is needed is about the biotopes and the actual land cover together with its actual status. Today this data normally are generated by manual interpretation of aerial photography, lots of mapping work in the field and a data analysis using Geographic Information Systems. With regard to effectiveness and economy DSK started to evaluate new methods of data taking and data processing by using modem remote sensing techniques
  • Keywords
    coal; geophysical techniques; mining; pollution measurement; remote sensing; terrain mapping; waste disposal; Deutsche Steinkohle AG; GIS; Germany; IR; biotopes; coal mine; degraded land; digital terrain model; geographic information system; hyperspectral imagery; hyperspectral remote sensing; infrared; land cover; land surface; measurement technique; mine waste management; mining; monitoring system; pollution; terrain mapping; vegetation mapping; visible; Data analysis; Digital elevation models; Hyperspectral imaging; Hyperspectral sensors; Law; Legal factors; Monitoring; Photography; Terrain mapping; Waste management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.976134
  • Filename
    976134