PILOYAN, Artak and Milan KONEČNÝ. Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification. 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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Basic information
Original name Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification
Authors PILOYAN, Artak (51 Armenia, guarantor) and Milan KONEČNÝ (203 Czech Republic, belonging to the institution).
Edition Quaestiones geographicae, WARSAW, POLAND, DE GRUYTER OPEN, 2017, 0137-477X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10508 Physical geography
Country of publisher Poland
Confidentiality degree is not subject to a state or trade secret
WWW open access verze článku
RIV identification code RIV/00216224:14310/17:00096313
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1515/quageo-2017-0007
UT WoS 000400495600007
Keywords in English Landform Elements; K-Means; Unsupervised Classification; Armenia
Tags NZ, rivok
Tags International impact, Reviewed
Changed by Changed by: Ing. Nicole Zrilić, učo 240776. Changed: 11/4/2018 21:43.
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.
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