Spatiotemporal Analysis of Land Use/Land Cover and Its Effects on Surface Urban Heat Island Using Landsat Data: A Case Study of Metropolitan City Tehran (1988–2018)

Iman Rousta, Md Omar Sarif, Rajan Dev Gupta, Haraldur Olafsson, Manjula Ranagalage, Yuji Murayama, Hao Zhang and Terence Darlington Mushore
Additional contact information
Iman Rousta: Department of Geography, Yazd University, Yazd 8915818411, Iran
Md Omar Sarif: Geographic Information System (GIS) Cell, Motilal Nehru National Institute of Technology Allahabad, Prayagraj 211004, India
Rajan Dev Gupta: Civil Engineering Department, and Member of GIS Cell, Motilal Nehru National Institute of Technology Allahabad, Prayagraj 211004, India
Haraldur Olafsson: Department of Physics, University of Iceland, Institute for Atmospheric Sciences and Icelandic Meteorological Office (IMO), Bustadavegur 7, IS-108 Reykjavik, Iceland
Manjula Ranagalage: Graduate School of Life and Environmental Sciences, University of Tsukuba 1-1-1, Tennodai, Tsukuba, Ibaraki 305-8572, Japan
Yuji Murayama: Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki 305-8572, Japan
Hao Zhang: Department of Environmental Science and Engineering Jiangwan campus, Fudan University, 2005 Songhu Road, Yangpu District, Shanghai 200438, China
Terence Darlington Mushore: Department of Physics, Faculty of Science, University of Zimbabwe, MP167 Mt Pleasant, Harare 00263, Zimbabwe

Sustainability, 2018, vol. 10, issue 12, 1-25

Abstract: This article summarized the spatiotemporal pattern of land use/land cover (LU/LC) and urban heat island (UHI) dynamics in the Metropolitan city of Tehran between 1988 and 2018. The study showed dynamics of each LU/LC class and their role in influencing the UHI. The impervious surface area expanded by 286.04 (48.27% of total land) and vegetated land was depleted by 42.06 km 2 (7.10% of total land) during the period of 1988–2018. The mean land surface temperature (LST) has enlarged by approximately 2–3 °C at the city center and 5–7 °C at the periphery between 1988 and 2018 based on the urban–rural gradient analysis. The lower mean LST was experienced by vegetation land (VL) and water body (WB) by approximately 4–5 °C and 5–7 °C, respectively, and the higher mean LST by open land (OL) by 7–11 °C than other LU/LC classes at all time-points during the time period, 1988–2018. The magnitude of mean LST was calculated based on the main LU/LC categories, where impervious land (IL) recorded the higher temperature difference compared to vegetation land (VL) and water bodies (WB). However, open land (OL) recorded the highest mean LST differences with all the other LU/LC categories. In addition to that, there was an overall negative correlation between LST and the normal difference vegetation index (NDVI). By contrast, there was an overall positive correlation between LST and the normal difference built-up index (NDBI). This article, executed through three decadal change analyses from 1988 to 2018 at 10-year intervals, has made a significant contribution to delineating the long records of change dynamics and could have a great influence on policy making to foster environmental sustainability.

Keywords: LU/LC dynamics; SUHI; LST; NDVI; NDBI; Tehran (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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