Record details

Title
    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
Author
    Kopačková, Veronika
    Rambousek, Petr
Language
    anglicky
Publication type
    článek ve sborníku
Source title - monograph
    Geomonitoring in the Energy and Mineral Resources Industry Using Remote Sensing Methodologies
Pages
    10
Notes
    Akce: 2006 ; Freiberg
Thesaurus term
    Principal Component Analysis (PCA),Landsat,mining impacts,optical bands, spectral analysis
Keyword
    Areas
    Contaminated
    Czech
    Imagery
    Karlovy
    Mapping
    Mining
    Multispectral
    Region
    Related
    Republic
    Satellite
    Sokolov
    Superspectral
    Using
    Vary
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.
Contributor
    Česká geologická služba
Contributor code
    ČGS (RIV)
Source format
    R
Import date
    15. 10. 2014