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Clustering Algorithm in ILWIS GIS for Classification of Landsat TM Scenes (Mecsek Hills Region, Hungary)

Author

Listed:
  • Polina Lemenkova
  • István Elek

Abstract

Current research has been performed at Eötvös Loránd University, Institute of Cartography. Research emphasis: application of clustering spatial analysis of the open source ILWIS GIS. - Research aim: agricultural mapping of land cover types: south-west Hungary, Mecsek Hills. - Research process: Landsat TM scenes were classified into different land use types: natural vegetation coverage, anthropogenic areas and agricultural fields, sub-divided to various crop types. - Research output: three independent agricultural thematic maps of land cover types for years 1992, 1999 and 2006, created in ILWIS GIS.

Suggested Citation

  • Polina Lemenkova & István Elek, 2012. "Clustering Algorithm in ILWIS GIS for Classification of Landsat TM Scenes (Mecsek Hills Region, Hungary)," ULB Institutional Repository 2013/364368, ULB -- Universite Libre de Bruxelles.
    • Handle: RePEc:ulb:ulbeco:2013/364368
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