Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F17%3A00096313" target="_blank" >RIV/00216224:14310/17:00096313 - isvavai.cz</a>
Result on the web
<a href="https://www.degruyter.com/view/j/quageo.2017.36.issue-1/quageo-2017-0007/quageo-2017-0007.xml?format=INT" target="_blank" >https://www.degruyter.com/view/j/quageo.2017.36.issue-1/quageo-2017-0007/quageo-2017-0007.xml?format=INT</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/quageo-2017-0007" target="_blank" >10.1515/quageo-2017-0007</a>
Alternative languages
Result language
angličtina
Original language name
Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10508 - Physical geography
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Quaestiones geographicae
ISSN
0137-477X
e-ISSN
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Volume of the periodical
36
Issue of the periodical within the volume
1
Country of publishing house
PL - POLAND
Number of pages
11
Pages from-to
93-103
UT code for WoS article
000400495600007
EID of the result in the Scopus database
2-s2.0-85016054482