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@article{1375780, author = {Piloyan, Artak and Konečný, Milan}, article_location = {WARSAW, POLAND}, article_number = {1}, doi = {http://dx.doi.org/10.1515/quageo-2017-0007}, keywords = {Landform Elements; K-Means; Unsupervised Classification; Armenia}, language = {eng}, issn = {0137-477X}, journal = {Quaestiones geographicae}, title = {Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification}, url = {https://www.degruyter.com/view/j/quageo.2017.36.issue-1/quageo-2017-0007/quageo-2017-0007.xml?format=INT}, volume = {36}, year = {2017} }
TY - JOUR ID - 1375780 AU - Piloyan, Artak - Konečný, Milan PY - 2017 TI - Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification JF - Quaestiones geographicae VL - 36 IS - 1 SP - 93-103 EP - 93-103 PB - DE GRUYTER OPEN SN - 0137477X KW - Landform Elements KW - K-Means KW - Unsupervised Classification KW - Armenia UR - https://www.degruyter.com/view/j/quageo.2017.36.issue-1/quageo-2017-0007/quageo-2017-0007.xml?format=INT L2 - https://www.degruyter.com/view/j/quageo.2017.36.issue-1/quageo-2017-0007/quageo-2017-0007.xml?format=INT N2 - 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. ER -
PILOYAN, Artak and Milan KONEČNÝ. Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification. \textit{Quaestiones geographicae}. WARSAW, POLAND: DE GRUYTER OPEN, vol.~36, No~1, p.~93-103. ISSN~0137-477X. doi:10.1515/quageo-2017-0007. 2017.
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