Land Surface Temperature and Landuse/ Land Cover Change Variability Using Remotely Sensed Data for Sub-urban Settlements in Osun State, Nigeria

Land surface temperature (LST) is an indispensable factor in studying urban climate. Ground-based measurements have been employed to quantify LST and Land Use/Land Cover Change (LULC). However, due to advancements in space technology and extensive spatial coverage, remote sensing techniques are incr...

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Main Authors: Saeed K. Ojolowo, Abiodun A. Audu, Charles O. Olatubara, Olusiyi Ipingbemi, Olaitan O. Odunola, Olaide J. Omirin, Oluwasinaayomi F. Kasim
Format: Article
Language:English
Published: center for sustainable infrastructure development 2024-04-01
Series:CSID Journal of Infrastructure Development
Subjects:
Online Access:https://scholarhub.ui.ac.id/jid/vol7/iss1/11/
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author Saeed K. Ojolowo
Abiodun A. Audu
Charles O. Olatubara
Olusiyi Ipingbemi
Olaitan O. Odunola
Olaide J. Omirin
Oluwasinaayomi F. Kasim
author_facet Saeed K. Ojolowo
Abiodun A. Audu
Charles O. Olatubara
Olusiyi Ipingbemi
Olaitan O. Odunola
Olaide J. Omirin
Oluwasinaayomi F. Kasim
author_sort Saeed K. Ojolowo
collection DOAJ
description Land surface temperature (LST) is an indispensable factor in studying urban climate. Ground-based measurements have been employed to quantify LST and Land Use/Land Cover Change (LULC). However, due to advancements in space technology and extensive spatial coverage, remote sensing techniques are increasingly being used to measure the intensity of LST and LULC dynamics, owing to the availability of enhanced satellite-based thermal observations of the Earth. The climatic conditions over a medium-sized city could be improved by understanding the interplay of LST and LULC. In this study, we estimated LST based on Landsat bands 4 and 5 for 1990 and 2000, band 6 for 2010, and band 10 for 2021 to reveal the interplay between the characteristics of land use and land cover and LST over Inisa and adjoining settlements. The study revealed that the maximum and minimum LST from 1990 to 2021 was 30.2°C for built-up areas and 21.1°C for farmland, respectively. Built-up areas increased from 2.5% in 1990 to 15.43% in 2021. Remotely sensed data can reveal the variability of LST and LULC to assess the climatic phenomenon. They can inform future planning to secure green and livable urban areas in this era of a changing climate.
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spelling doaj.art-49251af9f4ea4337bdd11f154d0667322025-02-19T10:38:49Zengcenter for sustainable infrastructure developmentCSID Journal of Infrastructure Development2407-59572024-04-017114916310.7454/jid.v7.i1.1109Land Surface Temperature and Landuse/ Land Cover Change Variability Using Remotely Sensed Data for Sub-urban Settlements in Osun State, NigeriaSaeed K. Ojolowo0Abiodun A. Audu1Charles O. Olatubara2Olusiyi Ipingbemi3Olaitan O. Odunola4Olaide J. Omirin5Oluwasinaayomi F. Kasim6University of Ibadan, Ibadan, NigeriaUniversity of Ibadan, Ibadan, NigeriaUniversity of Ibadan, Ibadan, NigeriaUniversity of Ibadan, Ibadan, NigeriaLadoke Akinntola University of Technology, Ogbomoso, NigeriaUniversity of Ibadan, Ibadan, NigeriaUniveristy of Guyana, Georgetown, GuyanaLand surface temperature (LST) is an indispensable factor in studying urban climate. Ground-based measurements have been employed to quantify LST and Land Use/Land Cover Change (LULC). However, due to advancements in space technology and extensive spatial coverage, remote sensing techniques are increasingly being used to measure the intensity of LST and LULC dynamics, owing to the availability of enhanced satellite-based thermal observations of the Earth. The climatic conditions over a medium-sized city could be improved by understanding the interplay of LST and LULC. In this study, we estimated LST based on Landsat bands 4 and 5 for 1990 and 2000, band 6 for 2010, and band 10 for 2021 to reveal the interplay between the characteristics of land use and land cover and LST over Inisa and adjoining settlements. The study revealed that the maximum and minimum LST from 1990 to 2021 was 30.2°C for built-up areas and 21.1°C for farmland, respectively. Built-up areas increased from 2.5% in 1990 to 15.43% in 2021. Remotely sensed data can reveal the variability of LST and LULC to assess the climatic phenomenon. They can inform future planning to secure green and livable urban areas in this era of a changing climate.https://scholarhub.ui.ac.id/jid/vol7/iss1/11/medium-sized cityremote sensingclimate changetemperature variabilityland use/land cover change
spellingShingle Saeed K. Ojolowo
Abiodun A. Audu
Charles O. Olatubara
Olusiyi Ipingbemi
Olaitan O. Odunola
Olaide J. Omirin
Oluwasinaayomi F. Kasim
Land Surface Temperature and Landuse/ Land Cover Change Variability Using Remotely Sensed Data for Sub-urban Settlements in Osun State, Nigeria
CSID Journal of Infrastructure Development
medium-sized city
remote sensing
climate change
temperature variability
land use/land cover change
title Land Surface Temperature and Landuse/ Land Cover Change Variability Using Remotely Sensed Data for Sub-urban Settlements in Osun State, Nigeria
title_full Land Surface Temperature and Landuse/ Land Cover Change Variability Using Remotely Sensed Data for Sub-urban Settlements in Osun State, Nigeria
title_fullStr Land Surface Temperature and Landuse/ Land Cover Change Variability Using Remotely Sensed Data for Sub-urban Settlements in Osun State, Nigeria
title_full_unstemmed Land Surface Temperature and Landuse/ Land Cover Change Variability Using Remotely Sensed Data for Sub-urban Settlements in Osun State, Nigeria
title_short Land Surface Temperature and Landuse/ Land Cover Change Variability Using Remotely Sensed Data for Sub-urban Settlements in Osun State, Nigeria
title_sort land surface temperature and landuse land cover change variability using remotely sensed data for sub urban settlements in osun state nigeria
topic medium-sized city
remote sensing
climate change
temperature variability
land use/land cover change
url https://scholarhub.ui.ac.id/jid/vol7/iss1/11/
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