Gholami, Fateme, Lak, Azadeh and Zhong, Jian ORCID: https://orcid.org/0000-0003-1026-8695 (2026) Urban heat island vulnerability assessment using remote sensing and land surface temperature analysis: evidence from Southern Mehrabad, Tehran. ABC2: Journal of Architecture, Building, Construction, and Cities, 2026 (04). pp. 61-73. ISSN 2978-6282 (Online) (doi:10.66408/abc2.2026.83)

Preview

PDF (Open Access Article) 53978 ZHONG_Urban_Heat_Island_Vulnerability_Assessment_(OA)_2026.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

Urban Heat Islands (UHIs) pose escalating threats to public health, energy systems, and quality of life in rapidly urbanizing cities of the Global South. This paper presents a remote sensing-based thermal diagnostic of Southern Mehrabad—a socioeconomically vulnerable neighborhood in southwestern Tehran located adjacent to Mehrabad Airport, one of the city's most significant heat sources. Using ten-year Landsat 8/9 satellite imagery, Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) data were extracted and spatially analyzed across the neighborhood. Findings reveal persistent high-temperature clusters in commercial and industrial zones, and a strong inverse correlation between vegetation cover and surface temperature (R²=0.63). The study demonstrates how satellite-derived thermal mapping, validated through field surveys, can systematically identify UHI hotspots in under-resourced urban neighborhoods. Results provide a data-driven baseline for evidence-based climate-responsive urban planning in comparable Global South contexts.

Item Type:	Article
Uncontrolled Keywords:	Urban Heat Island, Remote Sensing, Land Surface Temperature
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GE Environmental Sciences T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	24 Jul 2026 12:03
URI:	https://gala.gre.ac.uk/id/eprint/53978

Actions (login required)

View Item

Downloads