2014
DOI: 10.1088/1755-1315/20/1/012007
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Six decades of urban growth using remote sensing and GIS in the city of Bandar Abbas, Iran

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Cited by 19 publications
(12 citation statements)
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“…The values are lower than for the major cities of China and Canada but are equivalent or greater than the growing cities of developing countries including India, Nigeria, Iran, and Libya [24,64,65,79,80]. For this study, four types of urban sprawls were noticed in 1990: radial pattern and landfill at the city center; leapfrog pattern outside the city center; and elongated strips along HWY 605 and 617.…”
Section: Urban Sprawlmentioning
confidence: 57%
“…The values are lower than for the major cities of China and Canada but are equivalent or greater than the growing cities of developing countries including India, Nigeria, Iran, and Libya [24,64,65,79,80]. For this study, four types of urban sprawls were noticed in 1990: radial pattern and landfill at the city center; leapfrog pattern outside the city center; and elongated strips along HWY 605 and 617.…”
Section: Urban Sprawlmentioning
confidence: 57%
“…Shannon's entropy (H n ) can be used to measure the degree of spatial concentration or dispersion of a geographical variable (X i ), e.g., built-up area [60][61][62]. The value of entropy ranges from 0 to log(n) [60,63]. The value of 0 [63] or closer to 0 indicates that the distribution of the built-up areas is compact while values closer to log(n) indicate that the distribution of built-up areas is dispersed [60,63].…”
Section: Calculation Of Shannon's Entropymentioning
confidence: 99%
“…The high values of entropy indicate the occurrence of sprawl. The halfway mark of the log(n) value is generally considered as the threshold and if the value crosses the threshold the area is considered sprawling [63].…”
Section: Calculation Of Shannon's Entropymentioning
confidence: 99%
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“…Several scientific papers focused on the importance of historical sites, most of them having a chronological significance in the context of urban development along centuries (Rodrigues et al 2011, Del Lama et al 2015, Erikstad et al 2017. Historical aerial images have a great contribution for monitoring topography changes due to anthropic factors (Scardozzi 2010, Doering et al 2012, for tracking land cover changes (Ruan, Ellis 2004, Jao et al 2014, for archaeological site studies (Stichelbaut 2006) and for monitoring urban sprawl (Dadras et al 2014, Nebiker et al 2014, Mihai et al 2016.…”
Section: Introductionmentioning
confidence: 99%