{"id":4172,"date":"2024-01-26T13:34:17","date_gmt":"2024-01-26T09:34:17","guid":{"rendered":"https:\/\/journal.geonatres.az\/?p=4172"},"modified":"2026-02-13T17:32:05","modified_gmt":"2026-02-13T13:32:05","slug":"releyfin-morfometrik-analizinde-cis-texnologiyalarindan-istifade-kicik-qafqazin-az%c9%99rbaycan-daxilind%c9%99-simal-s%c9%99rq-yamacinin-timsalinda","status":"publish","type":"post","link":"https:\/\/journal.geonatres.az\/en\/releyfin-morfometrik-analizinde-cis-texnologiyalarindan-istifade-kicik-qafqazin-az%c9%99rbaycan-daxilind%c9%99-simal-s%c9%99rq-yamacinin-timsalinda\/","title":{"rendered":"USING GIS TECHNOLOGIES FOR MORPHOMETRIC ANALYSIS OF RELIEF (On the example of the northeastern slope of the Lesser Caucasus within Azerbaijan)"},"content":{"rendered":"

S.A. Mamiyeva<\/strong><\/p>\n

kuliyevaseva18@gmail.com<\/p>\n

DOI: 10.59423\/gnr.2023.36.53.004<\/a><\/p>\n

Annotation<\/strong>. In geomorphology, morphometric analysis is one of the most widely used methods for the detailed study of relief. The study of objects and subjects of risk in the relief allows to reduce the degree of danger for the socio-economic and cultural activity of the population. In modern science, morphometric parameters characterizing the relief are determined using GIS technologies. The maps presented in the article in raster format create an accurate description of the relief of the studied area, compare and analyze the features of the relief, determine the areas that are potentially dangerous for human life and risks. The mor\u00adpho\u00admetric analysis of the northeastern slope of the Lesser Caucasus with the wide ap\u00adplication of GIS technologies allows to de\u00adtermine the main quan\u00adti\u00adtative parameters of the relief types, which in turn creates the possibility that uneven or more accurate detail is required from the surface of the research area. The presented maps also allow to analyze the directions of the surface currents of the area and the possible movements of landslides under the influence of the earth’s gravity.<\/p>\n

Keywords<\/strong>: morphometry, relief, GIS techno\u00adlogy, digital elevation model, Lesser Caucasus.<\/p>\n

References<\/strong><\/p>\n

    \n
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  6. \u0421\u0430\u0444\u044c\u044f\u043d\u043e\u0432 \u0413.\u0410., \u0420\u0435\u043f\u043a\u0438\u043d\u0430 \u0422.\u042e. \u0426\u0438\u0444\u00ad\u0440\u043e\u00ad\u0432\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 \u0440\u0435\u043b\u044c\u0435\u0444\u0430 \u0438 \u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0434\u043b\u044f \u0433\u0435\u043e\u00ad\u043c\u043e\u0440\u00ad\u0444\u043e\u043b\u043e\u0433\u0438\u0438 \/\/ \u0413\u0435\u043e\u0434\u0435\u0437\u0438\u044f \u0438 \u043a\u0430\u0440\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u044f, 2014, \u2116 9, \u0441\u0442\u0440. 41-46.<\/li>\n
  7. \u0421\u0435\u0440\u0435\u0431\u0440\u044f\u043a\u043e\u0432 \u0410.\u0412., \u0413\u043e\u043b\u044c\u043c\u0433\u0440\u0435\u0439\u043d \u041b.\u0410., \u0423\u0440\u043e\u043f\u0430\u0435\u0432 \u0420. \u0410. \u041f\u0440\u043e\u0433\u043d\u043e\u0437\u043d\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 \u043f\u0430\u0432\u043e\u0434\u043a\u043e\u0432\u043e\u0439 \u043e\u0431\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0413\u0418\u0421-\u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439 \u0438 \u0433\u0438\u0434\u0440\u043e\u00ad\u043b\u043e\u00ad\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0440\u0435\u0447\u043d\u044b\u0445 \u0431\u0430\u0441\u0441\u0435\u0439\u00ad\u043d\u043e\u0432 \/\/ \u0411\u0435\u00ad\u0437\u043e\u00ad\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u044c \u0436\u0438\u0437\u043d\u0435\u0434\u0435\u044f\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438. 2005. \u2116 7. \u0441\u0442\u0440 48, 49.<\/li>\n
  8. \u0427\u0435\u0440\u043d\u043e\u0432\u0430 \u0418.\u042e., \u0425\u0430\u0441\u0430\u043d\u043e\u0432 \u0414.\u0418., \u0416\u0430\u0440\u043a\u043e\u0432 \u0418.\u042f. \u0438 \u0434\u0440. \u041e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u0438 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435 \u0437\u043e\u043d \u043d\u043e\u0432\u0435\u0439\u0448\u0438\u0445 \u0434\u0432\u0438\u0436\u0435\u043d\u0438\u0439 \u0437\u0435\u043c\u043d\u043e\u0439 \u043a\u043e\u0440\u044b \u0438\u043d\u0441\u0442\u0440\u0443\u00ad\u043c\u0435\u043d\u00ad\u0442\u0430\u043c\u0438 \u0413\u0418\u0421\/\/ARCREVIEW.2005. \u2116 1. \u0441\u0442\u0440 6, 7.<\/li>\n
  9. \u041c. \u0410. \u041b\u043e\u0433\u0438\u043d\u043e\u0432\u0430. \u041c\u043e\u0440\u0444\u043e\u043c\u0435\u0442\u0440\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0430\u043d\u0430\u00ad\u043b\u0438\u0437 \u0440\u0435\u043b\u044c\u0435\u0444\u0430 \u0441\u0435\u0432\u0435\u0440\u043d\u043e\u0433\u043e \u043c\u0430\u043a\u0440\u043e\u0441\u043a\u043b\u043e\u043d\u0430 \u0445\u0440\u0435\u0431\u0442\u0430 \u0412\u043e\u0441\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0422\u0430\u043d\u043d\u0443-\u041e\u043b\u0430 (\u0420\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a\u0430 \u0422\u044b\u0432\u0430) \u0414\u0438\u00ad\u043d\u0430\u043c\u0438\u043a\u0430 \u0438 \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u0433\u0435\u043e\u0441\u0444\u0435\u0440 \u0417\u0435\u043c\u043b\u0438. \u0441\u0442\u0440. 239-246. 2021\u0433.<\/li>\n
  10. \u0421.\u0412. \u041f\u0430\u0448\u043a\u043e\u0432, \u0413.\u0417. \u041c\u0430\u0436\u0438\u0442\u043e\u0432\u0430 \u041f\u0440\u0438\u00ad\u043c\u0435\u00ad\u043d\u0435\u00ad\u043d\u0438\u0435 \u0413\u0418\u0421-\u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439 \u0438 \u0430\u044d\u0440\u043e\u0441\u044a\u0435\u043c\u043a\u0438 \u0434\u043b\u044f \u0433\u0435\u043e\u00ad\u0438\u043d\u00ad\u0444\u043e\u0440\u00ad\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0433\u043e \u043a\u0430\u0440\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0441 \u043c\u043e\u0434\u0435\u00ad\u043b\u0438\u00ad\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0440\u0435\u043b\u044c\u0435\u0444\u0430 \u0430\u0433\u0440\u043e\u043b\u0430\u043d\u0434\u0448\u0430\u0444\u0442\u043e\u0432. \u0418\u0437\u0432\u0435\u0441\u0442\u0438\u044f \u0418\u0413\u0423, 2020, \u0441\u0442\u0440 82-95.<\/li>\n<\/ol>\n

     <\/p>\n

    Accepted for publication<\/strong>: December 20, 2023<\/p>\n

    Download article<\/strong><\/p>\n

    S.A. Mamiyeva <\/strong>– Using GIS technologies for morphometric analysis of relief (On the example of the northeastern slope of the Lesser Caucasus within Azerbaijan). Geography and Natural Resources, \u21162 (20), 2023, pp.\u00a0\u00a029-33.<\/p>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

    S.A. Mamiyeva kuliyevaseva18@gmail.com DOI: 10.59423\/gnr.2023.36.53.004 Annotation. In geomorphology, morphometric analysis is one of the most widely used methods for the detailed study of relief. The study of objects and subjects of risk in the relief allows to reduce the degree of danger for the socio-economic and cultural activity of the population. In modern science, morphometric […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-4172","post","type-post","status-publish","format-standard","hentry","category-mqallr"],"blocksy_meta":[],"yoast_head":"\nUSING GIS TECHNOLOGIES FOR MORPHOMETRIC ANALYSIS OF RELIEF (On the example of the northeastern slope of the Lesser Caucasus within Azerbaijan)<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/journal.geonatres.az\/en\/releyfin-morfometrik-analizinde-cis-texnologiyalarindan-istifade-kicik-qafqazin-az\u0259rbaycan-daxilind\u0259-simal-s\u0259rq-yamacinin-timsalinda\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:locale:alternate\" content=\"az\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"USING GIS TECHNOLOGIES FOR MORPHOMETRIC ANALYSIS OF RELIEF (On the example of the northeastern slope of the Lesser Caucasus within Azerbaijan)\" \/>\n<meta property=\"og:description\" content=\"S.A. Mamiyeva kuliyevaseva18@gmail.com DOI: 10.59423\/gnr.2023.36.53.004 Annotation. In geomorphology, morphometric analysis is one of the most widely used methods for the detailed study of relief. The study of objects and subjects of risk in the relief allows to reduce the degree of danger for the socio-economic and cultural activity of the population. 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