Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification

Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification

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...

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Main Authors: Piloyan Artak, Konečný Milan
Format: Article
Language:English
Published: Sciendo 2017-03-01
Series:Quaestiones Geographicae
Online Access:https://doi.org/10.1515/quageo-2017-0007
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spelling doaj-4db2704208a846de9d1dbf3c702b72ee2021-09-05T20:51:29ZengSciendoQuaestiones Geographicae2081-63832017-03-013619310310.1515/quageo-2017-0007quageo-2017-0007Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised ClassificationPiloyan Artak0Konečný Milan1Faculty of Geography and Geology, Yerevan State University, ArmeniaDepartment of Geography, Faculty of Science, Masaryk University, Brno, CzechiaLand 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.https://doi.org/10.1515/quageo-2017-0007
collection DOAJ
language English
format Article
sources DOAJ
author Piloyan Artak
Konečný Milan
spellingShingle Piloyan Artak
Konečný Milan
Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification
Quaestiones Geographicae
author_facet Piloyan Artak
Konečný Milan
author_sort Piloyan Artak
title Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification
title_short Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification
title_full Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification
title_fullStr Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification
title_full_unstemmed Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification
title_sort semi-automated classification of landform elements in armenia based on srtm dem using k-means unsupervised classification
publisher Sciendo
series Quaestiones Geographicae
issn 2081-6383
publishDate 2017-03-01
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.
url https://doi.org/10.1515/quageo-2017-0007
work_keys_str_mv AT piloyanartak semiautomatedclassificationoflandformelementsinarmeniabasedonsrtmdemusingkmeansunsupervisedclassification
AT konecnymilan semiautomatedclassificationoflandformelementsinarmeniabasedonsrtmdemusingkmeansunsupervisedclassification
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