Record details

    Using Multispectral and Superspectral Satellite Imagery for Mapping Mining Related Contaminated Areas in Sokolov and Karlovy Vary Region, Czech Republic
Other titles
    Identifikace kontaminovaných ploch v sokolovské uhelné panvi s využitím multispektrálních a superspektrálních satelitních dat
    Kopačková, Veronika
    Rambousek, Petr
Publication type
    článek ve sborníku
Source title - monograph
    Geomonitoring in the Energy and Mineral Resources Industry Using Remote Sensing Methodologies
    Akce: 2006 ; Freiberg
Thesaurus term
    Principal Component Analysis (PCA),Landsat,mining impacts,optical bands, spectral analysis
Abstract (in czech)
   Aplikace upravené metody analýzy hlavní komponenty (PCA) umožnila cíleně vyhledat acidifikovaná místa v sokolovské hnědouhelné pánvi. Byly vyhodnocovány scény družice Landsat TM pro období 1991- 2000.
Abstract (in english)
   The optical bands (VIR and SWIR) of mutispectral/superspectral sensors allow higher level of spatial detail and distinction between mineral extraction site and waste site. The primary impact was assessed applying such decorrelation methods as semi-automated Principle Component Analysis (PCA) to selected spectral bands and mineral and vegetation indices calculation on the LANDSAT scenes from 1991, 1992 and 2000. Secondary, three Aster scenes (2003 ,2004) were analyzed in order to assess mineralogy content, vegetation quality and mapping mining related features within the affected area and its closer surrounding. The airborne color ortho-photos, surface mining maps and field samplings were used in order to verify and identify spatial objects.
    Česká geologická služba
Contributor code
    ČGS (RIV)
Source format
Import date
    15. 10. 2014