{"id":3550,"date":"2021-04-24T17:33:44","date_gmt":"2021-04-24T13:33:44","guid":{"rendered":"http:\/\/journal.geonatres.az\/?p=3550"},"modified":"2022-02-10T13:32:41","modified_gmt":"2022-02-10T09:32:41","slug":"dask%c9%99s%c9%99n-rayonu-timsalinda-landsat-tm-sensor-t%c9%99svirl%c9%99rin%c9%99-%c9%99sas%c9%99n-minerallarin-askarlanmasi","status":"publish","type":"post","link":"https:\/\/journal.geonatres.az\/en\/dask%c9%99s%c9%99n-rayonu-timsalinda-landsat-tm-sensor-t%c9%99svirl%c9%99rin%c9%99-%c9%99sas%c9%99n-minerallarin-askarlanmasi\/","title":{"rendered":"MINERAL DETECTION BASED ON SATELLITE IMAGES OF LANDSAT TM SENSOR ON THE EXAMPLE OF DASHKESAN REGION"},"content":{"rendered":"\n<p>\u00a0<\/p>\n<p><strong>V.M.Mammadaliyeva, V.R.Nasirova<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>Abstract<\/strong>. The article is devoted to the identification of deposits of iron minerals, as well as the degree of their influence on the health of forest vegetation. In the course of the study, on the basis of multispectral satellite images, the spectral indices FM Ratio, which is an indicator of the reserves of iron minerals, and the SIPI index, reflecting the degree of plant health, were de\u00adter\u00admined. After calculating the SIPI index, all forest vege\u00adtation areas were classified into three polygons: healthy, damaged and destroyed. Based on the results of pro\u00adces\u00adsing, we can say that over 25 years the area of healthy forests and vegetation increased by 1273 hectares, da\u00admaged &#8211; decreased by 2290 hectares, and destroyed in\u00adcreased by 1 018 hectares. According to the table for fer\u00adrous iron compounds based on the calculation of the FM Ratio index in the Dashkesan region for 1986-2011, this type of mineral decreased by 13.23 hectares in the zone of healthy forest vegetation, increased by 36 hectares in damaged areas, and decreased by 1408 hectares in des\u00adtroyed forests. Based on these results, it can be said that this type of mineral mainly influenced all classes of fo\u00adrest vegetation.<\/p>\n<p>\u00a0<\/p>\n<p><strong>Keywords<\/strong>: iron minerals, forests health, multi\u00adspec\u00adtral images, spectral indices, FM Ratio, SIPI<\/p>\n<p>\u00a0<\/p>\n<p><strong>REFERENCES<\/strong><\/p>\n<ol>\n<li>Landsat missions. Landsat-5. URL: <a style=\"font-size: inherit;\" href=\"https:\/\/www.usgs.gov\/core-science-systems\/nli\/landsat\/landsat-5%20(\">https:\/\/www.usgs.gov\/core-science-systems\/nli\/landsat\/landsat-5 (<\/a><span style=\"font-size: inherit;\">20 \u044f\u043d\u0432. 2021)<\/span><\/li>\n<\/ol>\n<ol start=\"2\">\n<li>Mulligan C.N., Yong R.N. and Gibbs B.F. Remediation technologies for metal-contaminated soils and groundwater: an evaluation. Engineering Geology, Vol. 60, Is. 1-4, 2001, pp 193-207. DOI: 10.1016\/S0013-7952(00)00101-0<\/li>\n<li>Segal D. \u201cTheoretical Basis for Differentiation of Ferric-Iron Bearing Minerals, Using Landsat MSS Data\u201d. Proceedings of Symposium for Remote Sensing of Environment, 2nd Thematic Conference on Remote Sensing for Exploratory Geology, Fort Worth, TX, 1982, pp. 949-951<\/li>\n<li>United States Geological Survey. Earth Ex\u00adplo\u00adrer. URL: <a href=\"https:\/\/earthexplorer.usgs.gov\">https:\/\/earthexplorer.usgs.gov<\/a> (20 \u044f\u043d\u0432. 2021)<\/li>\n<li><span style=\"font-size: inherit;\">\u201cIndices gallery\u201d, ArcGIS Pro, ESRI, 2018. URL: <\/span><a style=\"font-size: inherit;\" href=\"http:\/\/pro.arcgis.com\/en\/pro-app\/help\/data\/imagery\/indices-gallery.htm%20(20\">http:\/\/pro.arcgis.com\/en\/pro-app\/help\/data\/imagery\/indices-gallery.htm (20<\/a><span style=\"font-size: inherit;\"> \u044f\u043d\u0432. 2021)<\/span><\/li>\n<li>\u041a\u043e\u0431\u0435\u043b\u0435\u0432\u0430 \u041d.\u0412., \u0420\u043e\u0433\u0430\u0447\u0435\u0432 \u0421.\u0410., \u0427\u0438\u0447\u043a\u043e\u0432\u0430 \u0415.\u0424. \u041e\u0446\u0435\u043d\u043a\u0430 \u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0441\u0442\u0432\u0435\u043d\u043d\u043e-\u0434\u0438\u043d\u0430\u043c\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0434\u0438\u0444\u0444\u0435\u0440\u0435\u043d\u00ad\u0446\u0438\u0430\u0446\u0438\u0438 \u044d\u043a\u043e\u0441\u0438\u0441\u0442\u0435\u043c \u0410\u0440\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0445\u0430\u0441\u044b\u0440\u0435\u0435\u0432 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0440\u0430\u0441\u0447\u0435\u0442\u0430 \u0441\u043f\u0435\u043a\u0442\u0440\u0430\u043b\u044c\u043d\u044b\u0445 \u0438\u043d\u0434\u0435\u043a\u0441\u043e\u0432 \u043f\u043e \u0434\u0430\u043d\u043d\u044b\u043c \u043a\u043e\u0441\u00ad\u043c\u0438\u00ad\u0447\u0435\u0441\u043a\u043e\u0439 \u0441\u044a\u0435\u043c\u043a\u0438. XVIII \u0412\u0441\u0435\u0441\u043e\u044e\u0437\u043d\u0430\u044f \u041e\u0442\u043a\u0440\u044b\u0442\u0430\u044f \u043a\u043e\u043d\u00ad\u0444\u0435\u00ad\u0440\u0435\u043d\u0446\u0438\u044f \u00ab\u0421\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b \u0434\u0438\u0441\u0442\u0430\u043d\u0446\u0438\u043e\u043d\u043d\u043e\u0433\u043e \u0437\u043e\u043d\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0417\u0435\u043c\u043b\u0438 \u0438\u0437 \u043a\u043e\u0441\u043c\u043e\u0441\u0430\u00bb, \u041c\u043e\u0441\u043a\u0432\u0430, 16-20 \u043d\u043e\u00ad\u044f\u0431\u0440\u044f 2020 \u0433\u043e\u0434\u0430<\/li>\n<li>\u041a\u043e\u043b\u0435\u0441\u043d\u0438\u043a\u043e\u0432\u0430 \u041e.\u041d., \u0427\u0435\u0440\u0435\u043f\u0430\u043d\u043e\u0432 \u0410.\u0421. \u0412\u043e\u0437\u00ad\u043c\u043e\u0436\u00ad\u043d\u043e\u0441\u0442\u0438 \u041f\u041a ENVI \u0434\u043b\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u043c\u0443\u043b\u044c\u0442\u0438\u0441\u043f\u0435\u043a\u0442\u0440\u0430\u043b\u044c\u043d\u044b\u0445 \u0438 \u0433\u0438\u043f\u0435\u0440\u0441\u043f\u0435\u043a\u0442\u0440\u0430\u043b\u044c\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445. \u0413\u0435\u043e\u043c\u0430\u0442\u0438\u043a\u0430, \u21163, 2009, c. 24-27.<\/li>\n<\/ol>\n<p>\u00a0<\/p>\n<p>Publication Date: March 1, 2021<\/p>\n<p><strong>Download the article<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0 V.M.Mammadaliyeva, V.R.Nasirova Abstract. The article is devoted to the identification of deposits of iron minerals, as well as the degree of their influence on the health of forest vegetation. In the course of the study, on the basis of multispectral satellite images, the spectral indices FM Ratio, which is an indicator of the reserves [&hellip;]<\/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-3550","post","type-post","status-publish","format-standard","hentry","category-mqallr"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MINERAL DETECTION BASED ON SATELLITE IMAGES OF LANDSAT TM SENSOR ON THE EXAMPLE OF DASHKESAN REGION<\/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\/dask\u0259s\u0259n-rayonu-timsalinda-landsat-tm-sensor-t\u0259svirl\u0259rin\u0259-\u0259sas\u0259n-minerallarin-askarlanmasi\/\" \/>\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=\"MINERAL DETECTION BASED ON SATELLITE IMAGES OF LANDSAT TM SENSOR ON THE EXAMPLE OF DASHKESAN REGION\" \/>\n<meta property=\"og:description\" content=\"\u00a0 V.M.Mammadaliyeva, V.R.Nasirova Abstract. 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The article is devoted to the identification of deposits of iron minerals, as well as the degree of their influence on the health of forest vegetation. In the course of the study, on the basis of multispectral satellite images, the spectral indices FM Ratio, which is an indicator of the reserves [&hellip;]","og_url":"https:\/\/journal.geonatres.az\/en\/dask\u0259s\u0259n-rayonu-timsalinda-landsat-tm-sensor-t\u0259svirl\u0259rin\u0259-\u0259sas\u0259n-minerallarin-askarlanmasi\/","og_site_name":"Geography and Natural Resources","article_published_time":"2021-04-24T13:33:44+00:00","article_modified_time":"2022-02-10T09:32:41+00:00","og_image":[{"width":1536,"height":1024,"url":"https:\/\/journal.geonatres.az\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-27-\u043c\u0430\u0440.-2026-\u0433.-01_39_18.png","type":"image\/png"}],"author":"Sarkhan Jafarov","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Sarkhan Jafarov","Est. reading time":"4 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