Land use map considered as one of the most essential problems for planning and managing schemes to come across the increase in demands for basic human requirements and prosperity of the ever increasing population. Remote sensing is an important tool for the creation of land use maps by the use of image classification techniques. GIS is a tool that is helpful for conducting image classification through modeling. The aim of this study was to evaluate the land use map produced from classification of available Landsat images using modern techniques. The present study was accompanied in the Gold Triangle region, Egypt. The Landsat 8 images used in the classification process were taken in 2015 for land use mapping. Firstly, supervised classification was performed based on signature samples covered the area of interest. Then, accuracy assessment was done using ground truth of random points distributed all over the image produced from classification process. The total resultant accuracy of the image classification was 86 % and the Kappa coefficient was 0.82. This means there was 82 % agreement for the classified image by chance alone. |
