Özyavuz, MuratBilgili, CemilSalıcı, Aylin2022-05-112022-05-1120151311-5065https://hdl.handle.net/20.500.11776/7610Remote sensing and geographical information system methods are used frequently in field use, planning and determination of land changes. The data types used in this study vary according to the objective of the study. In this study, the Landsat TM satellite patterns of 1987, 2002 and 2012 years were classified according to NDVI and the changes in the vegetation intensity of the study area were determined. First, rectification of satellite images was carried out after which radiometric correction was made to decrease the negative atmospheric effects. Afterwards, NDVI classification was made which is the most commonly used method for plant classification and separate data was acquired for each image. Accuracy analysis was carried out in order to evaluate the reliability of the acquired data. Within the scope of the study, NDVI classification of Landsat satellite images from the years 1987, 2002 and 2012 was carried out. The highest NDVI values were determined in the year 2002 at the end of the classification. As a result of the accuracy analysis, 78% and kappa index of 0.6903 were determined for the year 1987, 76% and kappa index of 0.6731 were determined for the year 2002 and 80% and kappa index of 0.7085 were determined for the year 2012.eninfo:eu-repo/semantics/closedAccessNDVIremote sensinggeographic information systemvegetationAreasTekirdagImageryIndexesCoverArticle161264273Q4WOS:0003535288000312-s2.0-84946738219Q3