Semi-automated classification of landform elements in Armenia based on SRTM DEM using k-means unsupervised classification
| dc.contributor.author | Piloyan, Artak | |
| dc.contributor.author | Konečný, Milan | |
| dc.date.accessioned | 2017-05-18T09:43:27Z | |
| dc.date.available | 2017-05-18T09:43:27Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Land elements have been used as basic landform descriptors in many science disciplines, including soil mapping, vegetation mapping, and landscape ecology. This paper presents a semi-automatic method based on k-means unsupervised classification to analyze geomorphometric features as landform elements in Armenia. First, several data layers were derived from DEM: elevation, slope, profile curvature, plan curvature and flow path length. Then, k-means algorithm has been used for classifying landform elements based on these morphomertic parameters. The classification has seven landform classes. Overall, landform classification is performed in the form of a three-level hierarchical scheme. The resulting map reflects the general topography and landform character of Armenia. | pl_PL |
| dc.identifier.citation | Quaestiones Geographicae vol. 36 (1), 2017, pp. 93-103 | pl_PL |
| dc.identifier.issn | 0137-477X | |
| dc.identifier.uri | http://hdl.handle.net/10593/17739 | |
| dc.language.iso | eng | pl_PL |
| dc.publisher | Wydział Nauk Geograficznych i Geologicznych Uniwersytetu im. Adama Mickiewicza | pl_PL |
| dc.rights | info:eu-repo/semantics/openAccess | pl_PL |
| dc.title | Semi-automated classification of landform elements in Armenia based on SRTM DEM using k-means unsupervised classification | pl_PL |
| dc.type | Artykuł | pl_PL |