Classification and identification of changes in the built-up areas of Ardabil using Landsat satellite remote sensing

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

Land use and examining its changes is one of the most basic needs of organizations for planning urban development and other construction projects such as urban green space development.In this research, the classification and identification of the changes in the built-up areas of Ardabil during the years 2013-2021 have been investigated with the help of remote sensing and the use of Landsat 8 satellite images. First, the desired satellite image and the studied area were determined in Google Earth system, then using it, the urban coverage map was prepared. The images presented in this study were corrected atmospherically, radiometrically and geometrically and were ready for further processing. For this purpose, the investigated area was divided into 5 separate uses of agricultural land, barren land, orchards, built-up areas and water. After classifying the images, in order to evaluate their accuracy, ground survey data and error matrix have been used, based on which the Landsat 8 images of 2013 and 2021 have an overall accuracy of 82 and 80 respectively, as well as a Kappa coefficient of 78. 0.0 and 0.72% are ranked first and second in terms of image classification. The trending results of the changes in uses show the upward trend of the area of built-up land (4.96 square kilometers) and agricultural lands (1.54 square kilometers), as well as the downward trend of the area of barren lands (6.58 square kilometers) and gardens (0.24). square kilometers). Based on this, it can be concluded that during the studied period, Ardabil city, like most parts of the country, has been faced with the development of urbanization in the past years, which was the result of the conversion of barren lands and gardens into residential lands. Finally, it has caused an increase in the area of built land in the past year.

Language:
Persian
Published:
Journal of Geography and Human Relations, Volume:6 Issue: 3, 2023
Pages:
102 to 123
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