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.
Polina Lemenkova, Elek István (2012). Clustering Algorithm in ILWIS GIS for Classification of Landsat TM Scenes (Mecsek Hills Region, Hungary) [10.13140/rg.2.2.36448.74244].
Clustering Algorithm in ILWIS GIS for Classification of Landsat TM Scenes (Mecsek Hills Region, Hungary)
Polina Lemenkova
Primo
;
2012
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
