The Analysis of sprawl Rafsanjan City Using Remote Sensing Data

Document Type : Research Paper

Authors

• Hossein Ghazanfarpour ¹
• mohsen pourkhosravani ²
• kimia mohammadi ³

¹ The faculty at Shahid Bahonar University of Kerman

² associate professor

³ msc in geography

10.30495/jupm.2024.29231.4026

Abstract

Abstract
Urban dispersion is a physical space phenomenon. A kind of scattered, sparse, sparse and far-flung horizontal expansion away from urban centers, which is generally associated with lack of land use and can indicate a waste of resources and capital, a threat to the health of city residents, environmental damage and development tendency in the suburbs. And turning urban centers into worn-out structures. Following the importance of this issue, the present study was collected with the general purpose of scattered study on the city of Rafsanjan from the functions of Kerman province because this city in recent years has been associated with unbridled horizontal expansion that has economic, social and environmental consequences. The type of research of the present study is applied and the method of doing it is descriptive-inferential and analytical-combined. GIS application software based on remote sensing data and entropy model has been used for scattered surface measurement of Rafsanjan. In addition to GIS software, ENVI, SAGA and Google Earth software have been used in this research to test the hypotheses. The general results of the research show that the highest dispersion rate in Rafsanjan city from the beginning of the period until 2010, most constructions have been done in the southeast direction of Rafsanjan city. However, in the final period under study, construction has increased to the southwest and in 2020, most construction has taken place in the southwest. According to the results, it was found that the construction trend and urban growth trend of Rafsanjan is south and the area of construction in the main direction south of Rafsanjan at the end of the period compared to the beginning of the growth period was more than 4.4 times.

Keywords

• Analysis of sprawl
• Remote sensing
• Rafsanjan

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