Assessing the impact of urban and rural development and land use changes on urban and rural surface temperatures (LST) using Landsat images from 2003 to 2023, case study area of Aslandoz Township

Maleki Masoomabad, Lotfollah; Mohammadzadeh Shishehgaean, Maryam

Assessing the impact of urban and rural development and land use changes on urban and rural surface temperatures (LST) using Landsat images from 2003 to 2023, case study area of Aslandoz Township

Document Type : Extract article from research project

Authors

Lotfollah Maleki Masoomabad ¹ ^¶

Maryam Mohammadzadeh Shishehgaean ²

¹ Assistant Professor, Department of Geography and Urban Planning, University of Mohaghegh Ardabili, Ardabil, Iran

² PhD student in Geography and Urban Planning, University of Mohaghegh Ardabili, Ardabil, Iran

Abstract

Background and Objective: Land surface temperature is a fundamental indicator in monitoring energy balance models at the land surface at regional and global scales. Given the limitations of meteorological stations, remote sensing can be a suitable alternative for estimating land surface temperature. The main objective of this research is to monitor land surface temperature and land use changes and urban development using satellite images from 2003 and 2023. The results of the 20-year land use map showed that very visible urban development was observed throughout the entire Aslandoz Township. If this development is done with minimizing damage to the environment and forests, it will be very positive.
Methodology: In this study, Landsat satellite images from 2003 and 2023 were used to investigate and assess the feasibility of using solar radiation energy. ENVI software was used to perform calculations using ArcGIS software to prepare maps. One of the applications of thermal images is to prepare thermal maps to determine isothermal zones.
Results and Findings: The results of the LST map showed that the land surface temperature in Aslandoz Township has increased significantly, so that in 2003 the land surface temperature was 42.49, and in 2023 this figure has increased to 49.92. The results of the integration of land use maps and land surface temperature showed that the lowest temperature in both years was attributed to water and forest use, which is due to high humidity, and the highest temperature was attributed to soil and residential use. Soil use in 2003 was 42.09 and in 2023 was 49.86, and residential use in 2003 was 42.57, and in 2023 the highest value for residential use was 42.57, which is a significant figure. The reason for this very high temperature and the difference in use is that if an area is devoid of vegetation or has sparse coverage, evaporation and transpiration are low and the temperature increases.

Keywords

Object-oriented classification

landsurface temperature

landuse

Landsatimages

Aslandoz

Subjects

Rural Planning

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