Predicting spatial and temporal changes in surface urban heat islands using multi-temporal satellite imagery: A case study of Tehran metropolis

Nowadays, predicting spatial and temporal changes of surface urban heat islands (SUHIs) is both a demanding challenge and a subject of interest for researchers working on urban thermal environments. This study aimed to predict the spatial-temporal changes of SUHI in Tehran city. The research data co...

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Published inUrban climate Vol. 45; p. 101258
Main Authors Kiavarz, Majid, Hosseinbeigi, Sara Bourbour, Mijani, Naeim, Shahsavary, Mohammad Sina, Firozjaei, Mohammad Karimi
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.09.2022
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Summary:Nowadays, predicting spatial and temporal changes of surface urban heat islands (SUHIs) is both a demanding challenge and a subject of interest for researchers working on urban thermal environments. This study aimed to predict the spatial-temporal changes of SUHI in Tehran city. The research data consisted of Landsat multi-temporal images, MODIS-derived water vapor and land surface temperature (LST) products, as well as climatic data. The cellular automata (CA)-Markov model was used for predicting the spatial and temporal land cover changes. Afterward, based on the statistical and spatial information of the impact of land cover changes on LST changes, maps of the LST and SUHII were procured for future years. The results showed that the area of built-up lands increased by 88% from 1985 to 2019. The built-up lands area is expected to increase to 446.3, 463.9, and 480.1 km2 by 2026, 2032, and 2038, respectively. The mean LST of Tehran city in 1985, 1992, 2000, 2009, and 2019 was 36.45, 41.95, 43.15, 44.95, and 47.25 °C, respectively. By 2026, 2032, and 2038, the mean LST may reach 48.65, 49.95, and 51.15 °C, respectively. Analysis of the SUHI ratio index in Tehran showed an increase from 0.01 in 1985 to 0.34 in 2019, and is expected to reach 0.38, 0.45, and 0.51 by 2026, 2032, and 2038, respectively. •Spatial and temporal changes in the SUHI of Tehran city were evaluated.•A CA-Markov model was employed for LST and SUHI prediction.•The area of built-up lands increased by 88% from 1985 to 2019.•The mean LST of Tehran increased by 11 °C during the period of 1985–2019.•The SUHI intensity in 2026, 2032, and 2038 is expected to increase by 11, 23, and 50%, respectively.
ISSN:2212-0955
2212-0955
DOI:10.1016/j.uclim.2022.101258