Geography and Natural Resources


C.Yagchi, F.İsjan

Seljuk University, Engineering Faculty, Department of Geomatic Engineering, 42075 Konya, Turkey

[email protected]

Abstract. 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.

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.


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