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

سال انتشار: 1400
محل انتشار: فصلنامه ی سنجش از دور راداری و نوری، دوره: 4، شماره: 4
کد COI اختصاصی: JR_JRORS-4-4_004
زبان مقاله: انگلیسی
تعداد مشاهده: 180

نویسندگان

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

Seyed Ali Almodaresi

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

Farhad Hamzeh

Assistant 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 ۸ satellite images, the change and transformation of lands in Tehran from ۲۰۱۳ to ۲۰۲۰ was monitored. Images were pre-processed and classified according to the LCZ model in ۱۷ 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 ۲۰۱۳ to ۲۰۲۰, which in itself can cause serious damage to urban planning for city managers.

کلیدواژه ها

land use, LCZ model, physical development, remote sensing

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