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

Polina Lemenkova (polina.lemenkova2@unibo.it) and István Elek

ULB Institutional Repository from ULB -- Universite Libre de Bruxelles

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.

Keywords: Landsat TM; image processing; satellite image; GIS; cartography; mapping; remote sensing (search for similar items in EconPapers)
Date: 2012-05-28
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