Spatio-temporal assessment of urban growth using multi-stage satellite imageries in Faisalabad, Pakistan
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Abstract
Today, urban growth is a multidimensional spatial and temporal process. The analysis of urban growth using spatial and attribute data is regarded as one of the basic requirements of urban geographical studies, future planning as well as the establishment of political policies for urban development. The current study is an effort to spatially and temporally assess the urban growth in district Faisalabad from 1991 to 2019. Landsat images, population and registered industries data were utilized carryout spatial analysis. Supervised image classification and linear regression model has been applied to visualize the results. The result inferred from the classified images revealed that the in 1991 the total built-up area of Faisalabad was 1219 km2 (20.81 percent) while year 2010 classified Landsat image depicts that the total built-up area was 3358 km2 (57.34 percent) of the district. The total areal change for 28 years research span was 36 per cent in built up land, contrary to this non built-up /open area decreased to 35 percent during the same period. The results of current study can facilitate district government and Faisalabad Development Authority (FDA) in decision making regarding haphazard growth of urban areas.
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