Applications of the GIS and Remote Sensing methods in the Land use and cover maps. Case study: Roman city and the surroundings of the Northern side area

Abstract

Land Use and Land Cover (LULC) represent the most important tool used in research, like land use planning, management and other activities, agriculture and natural resources. The main purpose of this research is to create a map of land use and land cover of the Roman city and the surroundings of the Northern side area, using GIS methods and remote sensing, and to examine the accuracy of the map obtained, using Google earth high resolution images. Classification process and analysis of the different LULC classes were made using image covering Landsat 8 OLI/TIRS. The Landsat images were acquired for the date of 09.012020 from the United States Geological Survey (USGS) Earth Explorer. The image with a total surface of 17,571.71 ha, was classified into 6 classes: Agriculture (8811.96 ha), Low vegetation (4078.35 ha), Build up area (2570.80 ha), Bare land (1425.97 ha), Water body (363.75 ha) and High vegetation (320.88 ha). Agriculture was the class with the highest percentage (50.15%), is dominant for the study area. The study map has an overall classification accuracy of 76.3% and overall kappa coefficient of 70.7% for the classified image, values that fit in the Substantial agreement range, thus making it suitable for use in further research by different organizational management activity of the area.