• DocumentCode
    3132882
  • Title

    Changes of Land Use and Landscape Pattern in Feicheng Coal Mining Area Based on Remote Sensing

  • Author

    Yanyan, Lu ; Xinju, Li ; Suli, Guo ; Mei, Wang

  • Author_Institution
    Coll. of Resource & Environ., Shandong Agric. Univ., Tai´´an, China
  • fYear
    2011
  • fDate
    8-9 Oct. 2011
  • Firstpage
    379
  • Lastpage
    384
  • Abstract
    The spatial changes of landscape pattern of Feicheng Coal Mining Area were analyzed in order to improve landscape and ecological environment quality and to guarantee sustainable development in mining areas. Methods employed include RS, GIS, and landscape pattern spatial analysis. The results show that cultivated land had a rising tendency while forest area was declining, and the area of mining land, residential land and waters rised steadily. All kinds of landscape were changed by different degree. Some indicators decreased from 1986 to 2006 including patch cohesion, patch density, Shannon diversity index and evenness index, while as contrary, the indicator of dominance index increased during the same period. The overall landscape´s fragmentation and diversity degrees increased, and the landscape´s were more irregular. Those indicate that developmental trend of different patch types are equalization and diversification.
  • Keywords
    geographic information systems; remote sensing; vegetation; vegetation mapping; AD 1986 to 2006; Feicheng coal mining area; Shannon diversity index; ecological environment quality; evenness index; land use; landscape environment quality; landscape fragmentation; landscape pattern; patch cohesion; patch density; remote sensing; Cities and towns; Coal; Coal mining; Indexes; Irrigation; Land surface; Materials; Feicheng Coal Mining Area; RS; dynamics analysis; landscape pattern; landscape pattern index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4577-1788-8
  • Type

    conf

  • DOI
    10.1109/KAM.2011.106
  • Filename
    6137661