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

Polina Lemenkova () 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
References: View complete reference list from CitEc
Citations:

Published by:

Downloads: (external link)
https://dipot.ulb.ac.be/dspace/bitstream/2013/3643 ... er_A0_latex_2012.pdf Full text for the whole work, or for a work part (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ulb:ulbeco:2013/364368

Ordering information: This working paper can be ordered from
http://hdl.handle.ne ... lb.ac.be:2013/364368

Access Statistics for this paper

More papers in ULB Institutional Repository from ULB -- Universite Libre de Bruxelles Contact information at EDIRC.
Bibliographic data for series maintained by Benoit Pauwels ().