Using artificial neural networks in land use/change

Abstract

The aim of this study is to detect and control the land cover distribution / change with stylistic shaping based on the satellite images of different times by using remote sensing techniques. These images are used to obtain earth information from satellite images obtained in raw form. The most common method for converting data into information is the classification of satellite images. Different kinds of statistical analysis and interpretation techniques are used to get information regarding the Earth from the images in the raw form. In this study, it is aimed to determine land usage change in order to better understand the land structure by using Landsat 8 OLI satellite images in Çaycuma district of Zonguldak province including the time between 2015 and 2020. The QGIS program was used to determine the change of land usage. In the study, artificial neural networks were used on determining the change of land usage. The values obtained by this method are compared with the maximum likelihood of values and the speed and accuracy of artificial intelligence methods in creating the change of land usage are examined.