Volume 24, Issue 74 (9-2024)                   jgs 2024, 24(74): 58-75 | Back to browse issues page


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Kazemi Garajeh M, Salmani B, Rezaei Moghaddam M H. (2024). Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(. jgs. 24(74), 58-75. doi:10.61186/jgs.24.74.5
URL: http://jgs.khu.ac.ir/article-1-3777-en.html
1- Master of Remote Sensing and GIS, University of Tabriz, Tabriz, Iran1 , kazemi20.0432@gmail.com
2- Master of Remote Sensing and GIS, University of Tabriz, Tabriz, Iran1
3- Full Professor of Remote Sensing and Geomorphology, University of Tabriz, Tabriz, Iran1.
Abstract:   (4496 Views)
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.
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Type of Study: Research | Subject: Rs

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)