Evaluating metropolises grow and their impact on the around villages using Object-Oriented Images Analysis method by using Sentinel-2 & Landsat data

Abstract

Development of the margin of metropolitan cities is always challenging with regard to the continuous urbanization. The forecast of future changes in the rural landscape is one of the most important issues to be considered in the process of sustainable rural development. The apparent characteristics of rural landscape changes are the result of the interaction between several natural and human factors. Landscape analysis, as well as the identification of best management strategies, can be improved when the useful information on its changes is available over a wide period of time to assess the impact of the changes it has existed. In this study, we tried to extract the changes in the selected villages of the Ardabil metropolitan area by using Landsat-7 and Sentinel-2 images. This study was conducted using supervised classification methods and the best method was chosen based on the overall accuracy 98.91, and high Kappa coefficient 0.96. The results showed that the changes area of settlement area in a village from 2000, as compared to 2018, is about approximately 5.1 Km2. Worth noting that, in this study, by increasing the efficiency of the classification of satellite images of Sentinel-2 comparison with Landsat-7, the accuracy of classification has also improved.

Keywords

• sentinel -2
• satellite images
• remote sensing
• object-oriented based method
• metropolises grow