Payame Noor University Journal of Urban Ecology Researches 2538-3930 11 21 2020 08 22 Investigation of Spatial Pattern and Visualization of Urban Sprawl Using Satellite Images and Shannon Entropy in GIS, Case Study: Tabriz City, 1972-2013 Investigation of Spatial Pattern and Visualization of Urban Sprawl Using Satellite Images and Shannon Entropy in GIS, Case Study: Tabriz City, 1972-2013 195 208 9844 10.30473/grup.2023.39154.2124 FA Noalden Misagh Ph.D. Candidate Department of Remote Sensing and Geographic Information Systems, University of Tehran, Tehran, Iran. Farsam Misagh Assistant Professor, Department of Mathematics and Statistics, Tabriz Branch, Islamic Azad University, Tabriz, Iran. Adel Mardaneh MSc. Student, Department of Remote Sensing and Geographic Information Systems, University of Tehran, Tehran, Iran. Saeid Madadi MSc. Student, Department of Remote Sensing and Geographic Information Systems University of Tehran, Tehran, Iran. Journal Article 2018 06 01 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. 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. https://grup.journals.pnu.ac.ir/article_9844_d34e006d01fe9f2ccd112907d312c827.pdf