STUDY OF URBANIZATION PROCESS AND TERRITORIAL PLANNING (A CASE OF SHAKI DISTRICT)

Abstract

The article is dedicated to the urbanization process of Shaki City and the change in land use in territorial planning over the years. During the years 2016–2022, the growth of the population in the region and the increase of the specific weight of the urban population were studied, the population growth trend was analyzed for twenty years, a comparative analysis was made by years and a forecast was given. In order to determine the direction and extent of land use in the city, the relationship between the city population's growth rate and the city's expansion was determined, and the changes that occurred in the region during the use of the land were analyzed. Statistical data were also used for this purpose along with Azersky satellite data. The machine learning (ML) method, which is widely used in remote sensing systems, was used, support vector machine learning (SVM) was applied, and the image classification and processing process was carried out. Based on the obtained data, a comparative analysis of the previous and current conditions was given, and the area of changes in the area between the classified areas was calculated. At the same time, the transitions between the categories during the use of the territory and the recent changes in the direction of land use are indicated. The classification performance was evaluated, user and producer accuracy analyses were determined and the Kappa coefficient was calculated. In the end, the direction of the city's expansion and its reasons were touched upon.