Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(

The purpose of the present study is to assess the land surface temperature in relation to landuse for the city of Tabriz using remote sensing technology and GIS. Landsat 8 satellite image was used to map the land surface temperature for the study area. Atmospheric correction was applied to the desir...

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Main Authors: Mohammad Kazemi Garajeh, Behnam Salmani, Mohammad Hossein Rezaei Moghaddam
Format: Article
Language:fas
Published: Kharazmi University 2024-09-01
Series:تحقیقات کاربردی علوم جغرافیایی
Subjects:
Online Access:http://jgs.khu.ac.ir/article-1-3777-en.pdf
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author Mohammad Kazemi Garajeh
Behnam Salmani
Mohammad Hossein Rezaei Moghaddam
author_facet Mohammad Kazemi Garajeh
Behnam Salmani
Mohammad Hossein Rezaei Moghaddam
author_sort Mohammad Kazemi Garajeh
collection DOAJ
description The purpose of the present study is to assess the land surface temperature in relation to landuse for the city of Tabriz using remote sensing technology and GIS. Landsat 8 satellite image was used to map the land surface temperature for the study area. Atmospheric correction was applied to the desired image using the FLAASH method and the land surface temperature was estimated using the split-window algorithm for the study area with an accuracy of 1.51 degrees. Landuse map of Tabriz city in 6 classes was obtained using the object-based approach in eCognition software with an accuracy of 90/03. The results of studying the relationship between land surface temperature and landuse indicate that agricultural lands with a temperature of 18.22 °C have the highest land surface temperature. Also, water areas (rivers) have the lowest (10.30 °C) land surface temperature, because of their radiant power close to one. The research results also indicate that the split-window algorithm provides reliable results for land surface temperature estimation that can be used in environmental studies and earth sciences.
format Article
id doaj-art-673ce9f0d9f84aacbb8b10d2b245e99d
institution Kabale University
issn 2228-7736
2588-5138
language fas
publishDate 2024-09-01
publisher Kharazmi University
record_format Article
series تحقیقات کاربردی علوم جغرافیایی
spelling doaj-art-673ce9f0d9f84aacbb8b10d2b245e99d2025-01-31T17:31:59ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382024-09-0124745875Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(Mohammad Kazemi Garajeh0Behnam Salmani1Mohammad Hossein Rezaei Moghaddam2 Master of Remote Sensing and GIS, University of Tabriz, Tabriz, Iran1 Master of Remote Sensing and GIS, University of Tabriz, Tabriz, Iran1 Full Professor of Remote Sensing and Geomorphology, University of Tabriz, Tabriz, Iran1. The purpose of the present study is to assess the land surface temperature in relation to landuse for the city of Tabriz using remote sensing technology and GIS. Landsat 8 satellite image was used to map the land surface temperature for the study area. Atmospheric correction was applied to the desired image using the FLAASH method and the land surface temperature was estimated using the split-window algorithm for the study area with an accuracy of 1.51 degrees. Landuse map of Tabriz city in 6 classes was obtained using the object-based approach in eCognition software with an accuracy of 90/03. The results of studying the relationship between land surface temperature and landuse indicate that agricultural lands with a temperature of 18.22 °C have the highest land surface temperature. Also, water areas (rivers) have the lowest (10.30 °C) land surface temperature, because of their radiant power close to one. The research results also indicate that the split-window algorithm provides reliable results for land surface temperature estimation that can be used in environmental studies and earth sciences.http://jgs.khu.ac.ir/article-1-3777-en.pdfsplit-window algorithmland surface temperatureobject-based approachurban landusetabriz city
spellingShingle Mohammad Kazemi Garajeh
Behnam Salmani
Mohammad Hossein Rezaei Moghaddam
Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(
تحقیقات کاربردی علوم جغرافیایی
split-window algorithm
land surface temperature
object-based approach
urban landuse
tabriz city
title Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(
title_full Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(
title_fullStr Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(
title_full_unstemmed Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(
title_short Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(
title_sort estimation of land surface temperature in relation to land use using remote sensing technology and geographic information system case study tabriz city
topic split-window algorithm
land surface temperature
object-based approach
urban landuse
tabriz city
url http://jgs.khu.ac.ir/article-1-3777-en.pdf
work_keys_str_mv AT mohammadkazemigarajeh estimationoflandsurfacetemperatureinrelationtolanduseusingremotesensingtechnologyandgeographicinformationsystemcasestudytabrizcity
AT behnamsalmani estimationoflandsurfacetemperatureinrelationtolanduseusingremotesensingtechnologyandgeographicinformationsystemcasestudytabrizcity
AT mohammadhosseinrezaeimoghaddam estimationoflandsurfacetemperatureinrelationtolanduseusingremotesensingtechnologyandgeographicinformationsystemcasestudytabrizcity