Spatial and Temporal Inversion of Land Surface Temperature along Coastal Cities in Arid Regions

Al-Ruzouq, R; Shanableh, A; Khalil, MA; Zeiada, W; Hamad, K; Abu Dabous, S; Gibril, MBA; Al-Khayyat, G; Kaloush, KE; Al-Mansoori, S; Jena, R

Spatial and Temporal Inversion of Land Surface Temperature along Coastal Cities in Arid Regions

Al-Ruzouq, R Shanableh, A Khalil, MA Zeiada, W Hamad, K Abu Dabous, S Gibril, MBA Al-Khayyat, G Kaloush, KE Al-Mansoori, S Jena, R

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: REMOTE SENSING, 2022, 14, (8)
Issue Date:: 2022-04-01

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Field	Value	Language
dc.contributor.author	Al-Ruzouq, R
dc.contributor.author	Shanableh, A
dc.contributor.author	Khalil, MA
dc.contributor.author	Zeiada, W
dc.contributor.author	Hamad, K
dc.contributor.author	Abu Dabous, S
dc.contributor.author	Gibril, MBA
dc.contributor.author	Al-Khayyat, G
dc.contributor.author	Kaloush, KE
dc.contributor.author	Al-Mansoori, S
dc.contributor.author	Jena, R https://orcid.org/0000-0002-6180-4673
dc.date.accessioned	2023-03-30T01:49:56Z
dc.date.available	2023-03-30T01:49:56Z
dc.date.issued	2022-04-01
dc.identifier.citation	REMOTE SENSING, 2022, 14, (8)
dc.identifier.issn	2072-4292
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10453/168823
dc.description.abstract	<jats:p>Climate change is undoubtedly affecting the global weather of the Earth. Rapid human civilization has mainly caused this in the last few decades. This research examined the spatial and temporal land surface temperature (LST) in the United Arab Emirates (UAE) coastal cities located in an arid region that faced massive urbanization over the last 50 years. We estimated the LST using by-products of Landsat and MODIS images covering 2000 until 2020. The assessment of LST was performed in two contexts, i.e., spatially and temporally, covering daytime vs. nighttime during the summer and winter seasons. Additionally, a supervised classification technique was adopted to extract the land use and land cover in the study area from the late 1970s until 2018. Unexpectedly, the results indicated that daytime LST in districts near the coastlines (heavily urbanized areas) are lower than the ones far away from the coast (about 9 °C). This observation represents the spatial LST inversion in the study area. Nevertheless, this difference was not observed during nighttime LST temporally, the daytime LST did not increase significantly during either summer or winter seasons. However, the nighttime LST has increased temporally by about 17% since 2000 (the temporal LST inversion). Both LST inversions could be attributed to the uniqueness of the study area, given that bare land desert was replaced by vegetation, high-rise buildings, and industrial activities. Additionally, the wind breeze blowing from the gulf might potentially contribute to cooling the coastal urban area during the daytime. Furthermore, in-depth zonal statistics were conducted to visualize the effect of land use on LST. The study observed that fully built-up areas with vegetation have lower LST than built-up areas without vegetation or a combination of sand and vegetation. The research outcomes are invaluable for decision-makers and researchers in achieving sustainable urban development.</jats:p>
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	REMOTE SENSING
dc.relation.isbasedon	10.3390/rs14081893
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0203 Classical Physics, 0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering
dc.title	Spatial and Temporal Inversion of Land Surface Temperature along Coastal Cities in Arid Regions
dc.type	Journal Article
utslib.citation.volume	14
utslib.for	0203 Classical Physics
utslib.for	0406 Physical Geography and Environmental Geoscience
utslib.for	0909 Geomatic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-30T01:32:36Z
pubs.issue	8
pubs.publication-status	Published
pubs.volume	14
utslib.citation.issue	8

Abstract:

Climate change is undoubtedly affecting the global weather of the Earth. Rapid human civilization has mainly caused this in the last few decades. This research examined the spatial and temporal land surface temperature (LST) in the United Arab Emirates (UAE) coastal cities located in an arid region that faced massive urbanization over the last 50 years. We estimated the LST using by-products of Landsat and MODIS images covering 2000 until 2020. The assessment of LST was performed in two contexts, i.e., spatially and temporally, covering daytime vs. nighttime during the summer and winter seasons. Additionally, a supervised classification technique was adopted to extract the land use and land cover in the study area from the late 1970s until 2018. Unexpectedly, the results indicated that daytime LST in districts near the coastlines (heavily urbanized areas) are lower than the ones far away from the coast (about 9 °C). This observation represents the spatial LST inversion in the study area. Nevertheless, this difference was not observed during nighttime LST temporally, the daytime LST did not increase significantly during either summer or winter seasons. However, the nighttime LST has increased temporally by about 17% since 2000 (the temporal LST inversion). Both LST inversions could be attributed to the uniqueness of the study area, given that bare land desert was replaced by vegetation, high-rise buildings, and industrial activities. Additionally, the wind breeze blowing from the gulf might potentially contribute to cooling the coastal urban area during the daytime. Furthermore, in-depth zonal statistics were conducted to visualize the effect of land use on LST. The study observed that fully built-up areas with vegetation have lower LST than built-up areas without vegetation or a combination of sand and vegetation. The research outcomes are invaluable for decision-makers and researchers in achieving sustainable urban development.

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http://hdl.handle.net/10453/168823