GIS
Noalden Misagh; Farsam Misagh; Adel Mardaneh; Saeid Madadi
Abstract
Urban sprawl or uncontrolled dispersion of built-up areas imposes many economic, social, and environmental issues to cities with a high growth rate. The combination of Remote Sensing and GIS. Technologies with the Shannon Entropy Model can used to identify, quantify and analyze the trends of urban sprawl ...
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Urban sprawl or uncontrolled dispersion of built-up areas imposes many economic, social, and environmental issues to cities with a high growth rate. The combination of Remote Sensing and GIS. Technologies with the Shannon Entropy Model can used to identify, quantify and analyze the trends of urban sprawl patterns. In this research, Landsat satellite imagery, spatial analysis of GIS and Shannon entropy used in two levels (for the whole city and within urban areas) in Tabriz city. After geometric and radiometric correction of images and the mapping of urban and non-urban areas in four periods from 1972 to 2013, to calculate the total entropy of each period, the region divided into 58 cells. In addition, to create a spatial pattern map and visualize urban sprawl, the whole city divided into 100 cells with 16 sub-cells, the amount of entropy of 16 cells was calculated, and sprawl spatial pattern obtained by Kriging interpolation method. The results of this study showed that urban sprawl of Tabriz has been approaching the maximum entropy (4.06) from 1972 to 2013 and has caused a two-fold gap between the growth of urban areas and the population. In addition, the spatial pattern of urban sprawl is unbalanced and focuses on the city’s communication axes.
