{"id":377,"date":"2019-03-23T10:02:08","date_gmt":"2019-03-23T06:02:08","guid":{"rendered":"http:\/\/journal.geonatres.az\/en\/?p=377"},"modified":"2019-07-18T23:31:32","modified_gmt":"2019-07-18T19:31:32","slug":"investigation-of-the-temporal-change-of-land-use-by-corine-and-landsat-satellite-images-a-case-of-konya","status":"publish","type":"post","link":"https:\/\/journal.geonatres.az\/en\/investigation-of-the-temporal-change-of-land-use-by-corine-and-landsat-satellite-images-a-case-of-konya\/","title":{"rendered":"INVESTIGATION OF THE TEMPORAL CHANGE OF LAND USE BY CORINE AND LANDSAT SATELLITE IMAGES; A CASE OF KONYA"},"content":{"rendered":"<p style=\"text-align: justify;\"><strong>C.Yagchi, F.\u0130sjan<\/strong><\/p>\n<p style=\"text-align: justify;\"><em>Seljuk University, Engineering Faculty, Department of Geomatic Engineering, 42075 Konya, Turkey<\/em><\/p>\n<p style=\"text-align: justify;\">fiscan@selcuk.edu.tr<\/p>\n<p style=\"text-align: justify;\"><strong>Abstract.\u00a0<\/strong>Satellite images are the most basic data used in remote sensing. Today, the spectral and spatial resolutions of these data have increased and parallel to this, they have gained the ability to scan very large areas. Therefore the process of change in land classes can be monitored and managed more easily, faster and more economically.<\/p>\n<p style=\"text-align: justify;\">In this study Konya province was chosen as the application area. In the application, Satellite images and Corine data for 1990, 2000, 2006 and 2010 were used. The maximum likelihood method is the preferred method of classification for satellite images. The land classes derived in the Landsat were obtained with accuracy of 72%, 80%, 85% and 90% for the years respectively 1990, 2000, 2006 and 2012. Land use changes in industry, agriculture, settlement and other areas obtained in the Corine and classification process, are calculated as area and evaluated as a percentage. As a result, the values obtained by Corine and classification gave consistent results. In addition, it was observed that urbanization was towards the north of the city and industrialists advanced towards the northeast of the city for the Konya province.<\/p>\n<p style=\"text-align: justify;\"><strong>REFERENCES<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>\u00a01.\u00a0<\/strong>Ban Y. , Hu H. and Rangel I.M., 2010. Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: Object-based and knowledge-based approach,Int. J. Rem. Sens., 31 (6) (2010), pp. 1391-1410.<\/p>\n<p style=\"text-align: justify;\">2. Boori M. S., Netzband M. , Choudhary K. and Vo\u017een\u00edlek V., 2015. Monitoring and modeling of urban sprawl through remote sensing and GIS in Kuala Lumpur, Malaysia., Ecological Processes (2015) 4:15 pp.2-15.<\/p>\n<p style=\"text-align: justify;\">3. Ernsta, C., Verhegghena, A., Bodartb, C., Ma\u00adyauxb, P., de Wasseigec, C., Bararwandikad, A., Begotoe, G., Mbaf, F.E., Ibarag, M. and Shokoh, A.K., 2010. Congo basin forest cover change esti\u00admate for 1990, 2000 and 2005 by Landsat inter\u00adpretation using an automated object-based pro\u00adces\u00adsing chain. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci 38, pp.6.<\/p>\n<p style=\"text-align: justify;\">3. Grey WMF, Luckman AJ, Holland D , 2003. Mapping urban change in the UK using satellite ra\u00addar interferometry. Remote Sens. Environ. 87 pp.16\u201322.<\/p>\n<p style=\"text-align: justify;\">4. Haack, B.N., 1982. Landsat: A tool for develop\u00adment. World Dev. 10, pp.899\u2013909.<\/p>\n<p style=\"text-align: justify;\">5. Herold M, Goldstein N, Clarke KC , 2003. The spatio-temporal form of urban growth: measure\u00adment, analysis and modeling. Remote Sens. Envi\u00adron. 86 pp.286\u2013302.<\/p>\n<p style=\"text-align: justify;\">6. Hu H. and Ban Y. ,2008, Urban land-cover mapping and change detection with radarsat sar da\u00adta using neural network and rule-based classi\u00adfi\u00aders,Int. Arch. Photogram. Rem. Sens. Spatial Info Sci.pp. 37.<\/p>\n<p style=\"text-align: justify;\">7. Khalil R.Z. and ul-Haque S.,2018. InSAR cohe\u00adrence-based land cover classification of Okara, Pa\u00adkistan,Egypt. J. Rem. Sens. Space Sci., 21 ,pp.\u00a0 23-28.<\/p>\n<p style=\"text-align: justify;\">8. Lillesand, T.M., Kiefer, R.W.\u00a0 and Chipman, J.W. , 2015. Remote sensing and image interpre\u00adtation. 7th ed. New York, NY: John Wiley &#038; Sons.<\/p>\n<p style=\"text-align: justify;\">9. Mayes, M.T., Mustard, J.F. and Melillo, J.M., 2015. Forest cover change in Miombo Woodlands: Modeling land cover of African dry tropical forests with linear spectral mixture analysis. Remote Sens. Environ.\u00a0 165, pp.203\u2013215.<\/p>\n<p style=\"text-align: justify;\">10. Mishra, R., Drogen, F. V., Dechant, R., Oh, S., Jeon, N. L., Lee, S.S. and Peter, M., 2017. Protein kinase C and calcineurin cooperatively mediate cell survival under compressive mechanical stress. PNAS 114 (51) pp.13471-13476.<\/p>\n<p style=\"text-align: justify;\">11. Phiri D. and Morgenroth J.,2017. Develop\u00adments in Landsat Land Cover Classification Met\u00adhods: A Review, Remote Sensing 9 pp.2-25.<\/p>\n<p style=\"text-align: justify;\">12. Scaramuzza, P., Micijevic, E. and Chander, G., 2004. SLC Gap-Filled Products Phase One Met\u00adho\u00addology. Landsat Technical Notes.<\/p>\n<p style=\"text-align: justify;\">13. Stow DA and Chen DM, 2002. Sensitivity of multi temporal NOAA AVHRR data of an urba\u00adni\u00adzing region to land-use\/land cover changes and misregistration. Remote Sens. Environ. 80 pp.297\u2013307.<\/p>\n<p style=\"text-align: justify;\">14. Turner, W., Rondinini, C., Pettorelli, N., Mora, B., Leidner, A.K., Szantoi, Z., Buchanan, G.,Dech, S., Dwyer, J., Herold, M., 2015, Free and open-ac\u00adcess satellite data are key to biodiversity con\u00adser\u00advation. Biol. Conserv., 182, pp.173\u2013176.<\/p>\n<p style=\"text-align: justify;\">15. Wilson E.H., Hurd J.D., Civco D.L., Prisloe M.P., Arnold C., 2003. Development of a geospa\u00adtial model to quantify, describe and map urban growth. Remote Sens Environ 86 pp.275\u2013285.<\/p>\n<p style=\"text-align: justify;\">16. Woodcock, C.E., Allen, R., Anderson, M., Bel\u00adward, A., Bindschadler, R., Cohen, W., Gao, F., Goward, S.N., Helder, D. and Helmer, E., 2008. Free access to Landsat imagery, Science 2008,320, pp10-11.<\/p>\n<p style=\"text-align: justify;\">17. Wulder, M.A, White, J.C., Loveland, T.R., Woodcock, C.E., Belward, A.S., Cohen, W.B., Fosnight, E.A.; Shaw, J., Masek, J.G. and Roy, D.P., 2016. The global Landsat archive: Status, consolidation, and direction. Remote Sens. En\u00adviron.185, pp.271\u2013283.<\/p>\n<p style=\"text-align: justify;\">URL1: https:\/\/www.eea.europa.eu\/publications\/COR0-landcover, Data of access:18.03.2018<\/p>\n<p>&nbsp;<\/p>\n<p><strong><a href=\"http:\/\/journal.geonatres.az\/wp-content\/uploads\/2019\/03\/C.Yagci-F.\u0130scan-2018_N-2.pdf\">Download the article<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>C.Yagchi, F.\u0130sjan Seljuk University, Engineering Faculty, Department of Geomatic Engineering, 42075 Konya, Turkey fiscan@selcuk.edu.tr Abstract.\u00a0Satellite images are the most basic data used in remote sensing. Today, the spectral and spatial resolutions of these data have increased and parallel to this, they have gained the ability to scan very large areas. Therefore the process of change [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-377","post","type-post","status-publish","format-standard","hentry","category-article"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>INVESTIGATION OF THE TEMPORAL CHANGE OF LAND USE BY CORINE AND LANDSAT SATELLITE IMAGES; A CASE OF KONYA<\/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\/investigation-of-the-temporal-change-of-land-use-by-corine-and-landsat-satellite-images-a-case-of-konya\/\" \/>\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=\"INVESTIGATION OF THE TEMPORAL CHANGE OF LAND USE BY CORINE AND LANDSAT SATELLITE IMAGES; A CASE OF KONYA\" \/>\n<meta property=\"og:description\" content=\"C.Yagchi, F.\u0130sjan Seljuk University, Engineering Faculty, Department of Geomatic Engineering, 42075 Konya, Turkey fiscan@selcuk.edu.tr Abstract.\u00a0Satellite images are the most basic data used in remote sensing. Today, the spectral and spatial resolutions of these data have increased and parallel to this, they have gained the ability to scan very large areas. Therefore the process of change [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/journal.geonatres.az\/en\/investigation-of-the-temporal-change-of-land-use-by-corine-and-landsat-satellite-images-a-case-of-konya\/\" \/>\n<meta property=\"og:site_name\" content=\"Geography and Natural Resources\" \/>\n<meta property=\"article:published_time\" content=\"2019-03-23T06:02:08+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-07-18T19:31:32+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 name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sarkhan Jafarov\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"10 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/journal.geonatres.az\\\/investigation-of-the-temporal-change-of-land-use-by-corine-and-landsat-satellite-images-a-case-of-konya\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/journal.geonatres.az\\\/investigation-of-the-temporal-change-of-land-use-by-corine-and-landsat-satellite-images-a-case-of-konya\\\/\"},\"author\":{\"name\":\"Sarkhan Jafarov\",\"@id\":\"https:\\\/\\\/journal.geonatres.az\\\/#\\\/schema\\\/person\\\/399177fc9f3c3362bd28cb5c728f0fda\"},\"headline\":\"INVESTIGATION OF THE TEMPORAL CHANGE OF LAND USE BY CORINE AND LANDSAT SATELLITE IMAGES; 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Today, the spectral and spatial resolutions of these data have increased and parallel to this, they have gained the ability to scan very large areas. 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