{"id":3471,"date":"2021-04-17T23:43:34","date_gmt":"2021-04-17T19:43:34","guid":{"rendered":"http:\/\/journal.geonatres.az\/?p=3471"},"modified":"2022-02-10T13:36:25","modified_gmt":"2022-02-10T09:36:25","slug":"neftl%c9%99-cirkl%c9%99nmis-torpaqlarin-peyk-t%c9%99svirl%c9%99ri-v%c9%99-geoinformasiya-texnologiyalari-%c9%99sasinda-t%c9%99dqiqi","status":"publish","type":"post","link":"https:\/\/journal.geonatres.az\/en\/neftl%c9%99-cirkl%c9%99nmis-torpaqlarin-peyk-t%c9%99svirl%c9%99ri-v%c9%99-geoinformasiya-texnologiyalari-%c9%99sasinda-t%c9%99dqiqi\/","title":{"rendered":"INVESTIGAT\u0130ON OF OIL-CONTAMINATED SO\u0130LS US\u0130NG SATELLITE IMAGES AND GEOINFORMATION TECHNOLOGIES"},"content":{"rendered":"\n<p><strong>A.I.Ismay\u0131lov,<\/strong> <strong>A.Y.Yashar, F.M.Feyziyev<\/strong><\/p>\n<p>fikrat.fm@gmail.com<\/p>\n<p style=\"text-align: justify;\"><strong>Abstract<\/strong>. The article considers the possibilities of using re\u00admote sensing data and geoinformation tech\u00adno\u00adlogies in the process of monitoring and evaluation of oil-contaminated soils in the Absheron peninsula. Spectral properties were studied in images taken from the Sen\u00adtinel-2 satellite in the blue, green, red and near-infrared spectra. The classification of remote sensing images we\u00adre separated into 3 groups: < 0 water areas; 0-0.14 pol\u00adluted and >0.14 recultivated or non-polluted areas. As a result of the study of the spectral characteristics of con\u00adtaminated soils on the basis of remote sensing and GIS were estimated that used method is a suitable way of as\u00adsessing, mo\u00adnitoring and mapping of oil-polluted soils. The high per\u00adfor\u00admance of the RS is promising and ef\u00adfec\u00adtive for identifying the oil-contaminated soils in the area of study.<\/p>\n<p>\u00a0<\/p>\n<p style=\"text-align: justify;\"><strong>Keywords<\/strong>:\u00a0 soil, oil-polluted, remote sensing, Sen\u00adtinel-2, spectral reflectance, GIS<\/p>\n<p><strong>REFERENCES<\/strong><\/p>\n<ol>\n<li>Az\u04d9rbaycan Respublikas\u0131 D\u00f6vl\u04d9t Neft \u015eirk\u04d9ti. Ekoloji siyas\u04d9t: Neft firavanl\u0131qd\u0131rsa t\u04d9bi\u04d9t h\u04d9yat\u0131n \u00f6z\u00fc\u00add\u00fcr. Bak\u0131: 2008, 40 s<\/li>\n<li>\u0130smay\u0131lov A.\u0130., \u0130smatova X.R., Abdullayev X.\u0130., Ya\u015far \u018f. Multispektral kosmik t\u0259svirl\u0259rin emal\u0131 \u0259sa\u00ads\u0131n\u00adda \u015forla\u015fm\u0131\u015f torpaqlar\u0131n m\u00fc\u0259yy\u0259n edilm\u0259si \u00fc\u00e7\u00fcn m\u00fcx\u00adt\u0259\u00adlif indeksl\u0259rin hesablanmas\u0131. AMEA Co\u011frafiya ins\u00adtitu\u00adtu, Co\u011frafiya v\u0259 t\u0259bii resurslar, \u21161, 2017(5), ss.118-122<\/li>\n<li>\u0130smay\u0131lov A.\u0130., \u0130smatova X.R., Abdullayev X.\u0130., Ya\u015far \u018f. Torpaqlar\u0131n \u015forla\u015fma v\u0259ziyy\u0259tinin t\u0259dqiqind\u0259 m\u0259saf\u0259d\u0259n zondlama \u00fcsulundan istifad\u0259nin b\u0259zi aspekt\u00adl\u0259ri. Proceedings of Research Institute of Crop Hus\u00adbandry of Agrarian Science and Informational Advisory Centre, XXVIII volume, (2017), p.376-380<\/li>\n<li>M\u0259mm\u0259dov \u018f.Y., S\u00fcleymanov T.\u0130. Co\u011frafi \u0130nfor\u00admasiya Sisteml\u0259ri v\u0259 kosmik \u015f\u0259kill\u0259r \u0259sas\u0131nda Ab\u015feron yar\u0131madas\u0131 g\u00f6ll\u0259rinin ekoloji v\u0259ziyy\u0259tinin qiy\u00adm\u0259tl\u0259n\u00addi\u00adrilm\u0259si. Az\u0259rbaycan Milli Aerokosmik Agentliyinin X\u0259\u00adb\u0259rl\u0259ri, \u21161 (14), cild 14, 2011, s.9-14<\/li>\n<li>S\u00fcleymanov T.\u0130., \u018f. Ya\u015far. Multispektral kosmik t\u0259svirl\u0259r \u0259sas\u0131nda Ab\u015feron yar\u0131madas\u0131n\u0131n tikintialt\u0131 v\u0259 bo\u015f torpaq sah\u0259l\u0259rinin x\u0259rit\u0259l\u0259\u015fdirilm\u0259si. Az\u0259rbaycan Milli Aerokosmik Agentliyinin X\u0259b\u0259rl\u0259ri, \u21164 (19), cild 19, 2016, s.27-32<\/li>\n<li>Ismayilov A., Yashar A. Composition of the digi\u00adtal salinity maps of soils using from the Geographical Information Systems. \u0130nt. Sci. Conf. on Applied Scien\u00adces,, &#8220;Spatial Data Processing, Modelling, Analysing and Management for Knowledge-Based Systems&#8221;2016, Antalya\/TURKEY, p.23-26<\/li>\n<li>Atu, J. E., Offiong Raphael Ayama, and E. I. Eja. &#8220;Urban sprawl effects on biodiversity in peripheral agri\u00adcultural Lands in Calabar, Nigeria.&#8221; Journal of Envi\u00adron\u00adment and Earth Science 3, no. 7 (2013): 219-231.<\/li>\n<li>Zhang, Y., Y. Li, and Lin H..\u201cOil-spill pollution remote sensing by synthetic aperture radar,\u201d In Ad\u00advan\u00adced Geoscience Remote Sensing, 2014, Chapter 2: 27\u201350.<\/li>\n<\/ol>\n<p>\u00a0<\/p>\n<p>Publication Date: March 1, 2021<\/p>\n<p><a href=\"http:\/\/journal.geonatres.az\/en\/neftl%c9%99-cirkl%c9%99nmis-torpaqlarin-peyk-t%c9%99svirl%c9%99ri-v%c9%99-geoinformasiya-texnologiyalari-%c9%99sasinda-t%c9%99dqiqi\/\"><strong>Download the article<\/strong><\/a><\/p>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A.I.Ismay\u0131lov, A.Y.Yashar, F.M.Feyziyev fikrat.fm@gmail.com Abstract. The article considers the possibilities of using re\u00admote sensing data and geoinformation tech\u00adno\u00adlogies in the process of monitoring and evaluation of oil-contaminated soils in the Absheron peninsula. Spectral properties were studied in images taken from the Sen\u00adtinel-2 satellite in the blue, green, red and near-infrared spectra. The classification of remote [&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-3471","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>INVESTIGAT\u0130ON OF OIL-CONTAMINATED SO\u0130LS US\u0130NG SATELLITE IMAGES AND GEOINFORMATION TECHNOLOGIES<\/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\/neftl\u0259-cirkl\u0259nmis-torpaqlarin-peyk-t\u0259svirl\u0259ri-v\u0259-geoinformasiya-texnologiyalari-\u0259sasinda-t\u0259dqiqi\/\" \/>\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=\"INVESTIGAT\u0130ON OF OIL-CONTAMINATED SO\u0130LS US\u0130NG SATELLITE IMAGES AND GEOINFORMATION TECHNOLOGIES\" \/>\n<meta property=\"og:description\" content=\"A.I.Ismay\u0131lov, A.Y.Yashar, F.M.Feyziyev fikrat.fm@gmail.com Abstract. The article considers the possibilities of using re\u00admote sensing data and geoinformation tech\u00adno\u00adlogies in the process of monitoring and evaluation of oil-contaminated soils in the Absheron peninsula. Spectral properties were studied in images taken from the Sen\u00adtinel-2 satellite in the blue, green, red and near-infrared spectra. The classification of remote [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/journal.geonatres.az\/en\/neftl\u0259-cirkl\u0259nmis-torpaqlarin-peyk-t\u0259svirl\u0259ri-v\u0259-geoinformasiya-texnologiyalari-\u0259sasinda-t\u0259dqiqi\/\" \/>\n<meta property=\"og:site_name\" content=\"Geography and Natural Resources\" \/>\n<meta property=\"article:published_time\" content=\"2021-04-17T19:43:34+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-02-10T09:36:25+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/journal.geonatres.az\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-27-\u043c\u0430\u0440.-2026-\u0433.-01_39_18.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1536\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Sarkhan Jafarov\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta 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