Evaluation of Local Climate Zone Model in Monitoring Land Use Changes with Emphasis on Physical Growth (Study Area: Tehran)

Journal of Radar and Optical Remote Sensing and GIS

مقاله 4، دوره 4، شماره 4، اسفند 2021، صفحه 41-54   

نوع مقاله: مقاله پژوهشی

نویسندگان

Seyed aghil Ebrahimi¹؛ Seyed Ali Almodaresi^{* 2}؛ Farhad Hamzeh³

¹Ph.D. Student in Geography and Urban Planning, Department of Geography, Central Tehran Branch, Islamic Azad University, Tehran, Iran

²Professor, Geomorphology, Yazd Branch, Islamic Azad University, Yazd, Iran

³Assistant Professor, Department of Geography, Central Tehran Branch, Islamic Azad University, Tehran, Iran

چکیده

Land use change and land cover are considered as one of the important and effective factors on global environmental change, so understanding and predicting the causes, processes and consequences of land use change has become a major challenge on the planet. Today, remote sensing technology and GIS are used effectively to identify and quantify land use change and its effects on the environment. The physical development of cities and the expansion of its dimensions is one of the important factors in urban land change that has many environmental, economic and social consequences. In the past few decades, the city of Tehran has faced numerous urban growth and development and surrounding towns, which has caused extensive changes in the urban lands of Tehran and surrounding areas. In this study, the trend of land use changes in Tehran in the past few decades has been studied. In the present study, using Landsat 8 satellite images, the change and transformation of lands in Tehran from 2013 to 2020 was monitored. Images were pre-processed and classified according to the LCZ model in 17 classes. Then, they were classified in SEGA GIS software and analyzed by image difference and post-classification methods. The results of image processing and classification show that urban lands are constantly growing and barren lands are increasing on a very small and slow scale. Also, land with dense vegetation has decreased from 2013 to 2020, which in itself can cause serious damage to urban planning for city managers.

کلیدواژه‌ها

Land Use؛ LCZ Model؛ Physical Development؛ Remote Sensing