Assessing the Evolution of Urban Areas, Vegetation, and Surface Temperature in Dubai Using Remote Sensing

This study uses remote sensing to assess the evolution of Dubai’s urban areas, vegetation, and surface temperature. With Dubai being one of the fastest-growing cities in the world, changes to the urban landscape occur rapidly, making it essential to analyze and plan for sustainable growth. The image...

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Main Authors: Uppin Prateek, Sabobeb Lara, Mikhai Engy, Ali Tarig
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/12/e3sconf_aere2025_02002.pdf
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author Uppin Prateek
Sabobeb Lara
Mikhai Engy
Ali Tarig
author_facet Uppin Prateek
Sabobeb Lara
Mikhai Engy
Ali Tarig
author_sort Uppin Prateek
collection DOAJ
description This study uses remote sensing to assess the evolution of Dubai’s urban areas, vegetation, and surface temperature. With Dubai being one of the fastest-growing cities in the world, changes to the urban landscape occur rapidly, making it essential to analyze and plan for sustainable growth. The images were downloaded from the U.S. Geological Survey database, stacked, mosaiced on ERDAS, and clipped using ArcGIS software. The temporal assessment of urban growth and vegetation in Dubai was carried out using five Landsat images, i.e., 2000, 2013, 2016, 2019, and 2022, which provided valuable insights into the city’s environmental and developmental changes through analysis of urban areas’ density, NDVI, and LST from satellite images. The project results show an increase in urban areas over the years, changes in vegetation land, and temperature variations. This aims to improve and plan for future developments with environmental considerations.
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institution Kabale University
issn 2267-1242
language English
publishDate 2025-01-01
publisher EDP Sciences
record_format Article
series E3S Web of Conferences
spelling doaj-art-9d9c8c9e82a046fda6f11715af0b160e2025-02-05T10:51:05ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016120200210.1051/e3sconf/202561202002e3sconf_aere2025_02002Assessing the Evolution of Urban Areas, Vegetation, and Surface Temperature in Dubai Using Remote SensingUppin Prateek0Sabobeb Lara1Mikhai Engy2Ali Tarig3American University of Sharjah, Civil Engineering DepartmentAmerican University of Sharjah, Civil Engineering DepartmentAmerican University of Sharjah, Civil Engineering DepartmentAmerican University of Sharjah, Civil Engineering DepartmentThis study uses remote sensing to assess the evolution of Dubai’s urban areas, vegetation, and surface temperature. With Dubai being one of the fastest-growing cities in the world, changes to the urban landscape occur rapidly, making it essential to analyze and plan for sustainable growth. The images were downloaded from the U.S. Geological Survey database, stacked, mosaiced on ERDAS, and clipped using ArcGIS software. The temporal assessment of urban growth and vegetation in Dubai was carried out using five Landsat images, i.e., 2000, 2013, 2016, 2019, and 2022, which provided valuable insights into the city’s environmental and developmental changes through analysis of urban areas’ density, NDVI, and LST from satellite images. The project results show an increase in urban areas over the years, changes in vegetation land, and temperature variations. This aims to improve and plan for future developments with environmental considerations.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/12/e3sconf_aere2025_02002.pdf
spellingShingle Uppin Prateek
Sabobeb Lara
Mikhai Engy
Ali Tarig
Assessing the Evolution of Urban Areas, Vegetation, and Surface Temperature in Dubai Using Remote Sensing
E3S Web of Conferences
title Assessing the Evolution of Urban Areas, Vegetation, and Surface Temperature in Dubai Using Remote Sensing
title_full Assessing the Evolution of Urban Areas, Vegetation, and Surface Temperature in Dubai Using Remote Sensing
title_fullStr Assessing the Evolution of Urban Areas, Vegetation, and Surface Temperature in Dubai Using Remote Sensing
title_full_unstemmed Assessing the Evolution of Urban Areas, Vegetation, and Surface Temperature in Dubai Using Remote Sensing
title_short Assessing the Evolution of Urban Areas, Vegetation, and Surface Temperature in Dubai Using Remote Sensing
title_sort assessing the evolution of urban areas vegetation and surface temperature in dubai using remote sensing
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/12/e3sconf_aere2025_02002.pdf
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AT mikhaiengy assessingtheevolutionofurbanareasvegetationandsurfacetemperatureindubaiusingremotesensing
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