Spatiotemporal analysis of urban sprawl using a multi-technique approach and remote sensing satellite imagery from 1990 to 2020: Kerman/Iran

Amirmohim Mohimi () and Ali Esmaeily ()
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Amirmohim Mohimi: Research Institute of Cultural Heritage and Tourism
Ali Esmaeily: Graduate University of Advanced Technology

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 7, No 67, 18033-18068

Abstract: Abstract In this research, remote sensing satellite imagery has been applied to assess dynamic and static sprawl measured simultaneously via a multi-technique approach. The first technique, which evaluates dynamic sprawl, essentially measures the “magnitude” and “direction”. The second technique, which evaluates static sprawl, measures the “magnitude” and “pattern”. The dynamic sprawl used in this study, shows in which “direction”, in what “period” and to what “extent” Kerman had sprawl. In the static sprawl, the most sprawled pattern that the city of Kerman follows is Area-Edge, followed by Aggregation, Shape and Diversity, respectively.

Keywords: Dynamic sprawl; Machine learning; Support vector machine (SVM); Remote sensing; Static sprawl; Urban growth (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03378-8

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