Journal of Natural Environment

Investigation and analysis of land use dynamics and its impact on urban Heat islands(Case study: Mashhad)

Document Type : Research Paper

Authors

1 Department of Environment, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

2 Department of Geography, CNRS, University of Rennes, Rennes, France

Abstract

The purpose of this article is to study and analyze the land use dynamics and its impact on the heat islands of the city. This research was conducted for the city of Mashhad and a 10 km wide strip around it with the help of Landsat satellite images in the period 1988 to 2018. The process used includes supervised classification of images, investigation of land use changes during the mentioned period and investigation of changes in land surface temperature (LST) and vegetation density (NDVI) was in land uses and their relationship with land use. The results showed that by 2018, the area of ​​agricultural-garden use decreased by 9.38%, the area of ​​urban and residential areas increased by 12.19%, urban green space increased by 2.11% and other areas increased by 4.93%. The decrease in the level of agricultural-garden areas has been due to their conversion into urban and residential areas. It was also found that changes in man-made land use have led to changes in land surface temperature (LST). An increase in surface temperature and a decrease in the difference between the average temperature of urban areas and areas around the city was observed, which indicates the expansion of the urban heat island phenomenon in the city of Mashhad. The results of this study showed that the use of multi-temporal satellite data and the combination of common methods for studying thermal islands (study of temporal-spatial distribution changes of urban thermal islands compared to changes in urban development, the relationship of thermal islands with vegetation and land use and coverage Lands) can provide a comprehensive view of how urban thermal islands are formed and expanded.

Keywords

Adams, M.P., Smith, P.L., 2014. A systematic approach to model the influence of the type and density of vegetation cover on urban heat using remote sensing. Landscape and Urban Planning 132, 47-54.  
Bogoliubova, A., Tymków, P., 2014. Accuracy assessment of automatic image processing for land cover classification of St. Petersburg protected area. Acta Sci. Pol. Geod. Descr. Terrarum 13, 5-22.
Dadashpour, H., Jahanzad, N., 2016. Prediction of land use changes in Mashhad urban using automatic cells and artificial neural network algorithm. Scientific Quarterly-Spatial Planning Research (Geography) 6(1), 20.
Dai, X., Zhongyang, G., Zhang, L., Li, D., 2010. Spatiotemporal exploratory analysis of urban surface    temperature field in Shanghai, China. Stochastic Environmental Research & Risk Assessment 24, 247-257.
Gholamali Fard, M., Fatehi, M., Bidel, H., Ghafouri, B., 2016. Analysis of dependence of land use changes in Mashhad city with topographical parameters in GIS environment. Environmental science and technology. 19th period Number 5, 299-315.
Grigoraș, G., Urițescu, B., 2019. Land Use/Land Cover changes dynamics and their effects on Surface Urban Heat Island in Bucharest, Romania. International Journal of Applied Earth Observation and Geoinformation 80, 115-126.
Grigoraș, G., Urițescu, B., 2019. Land Use/Land Cover changes dynamics and their effects on Surface Urban Heat Island in Bucharest, Romania. International Journal of Applied Earth Observation and Geoinformation. 80, 115-126.
Iping, A., Kidston-Lattari,  J., Simpson-Young, A., Duncan, E., & McManus, P. 2019. (Re) presenting urban heat islands in Australian cities: A study of media reporting and implications for urban heat and climate change debates. Urban Climate 27, 420-429.
Iping, A., Kidston-Lattari, J., Simpson-Young, A., Duncan, E., McManus, P., 2019. (Re) presenting urban heat islands in Australian cities: A study of media reporting and implications for urban heat and climate change debates. Urban Climate 27, 420-429.
Jalan, S., Sharma, K., 2014 . Spatio-temporal assessment of land use/land cover dynamics and urban heat island of Jaipur city using satellite data. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 40(8), 767.
Jalan, S., Sharma, K.., 2014. Spatio-temporal assessment of land use/land cover dynamics and urban heat island of Jaipur city using satellite data. The International Archives of Photogrammetry. Remote Sensing and Spatial Information Sciences 40(8), 767.
Khosravi, Y., Heidari, M.A., Tavakoli, A., Zamani, A., 2016. Analysis of the relationship between surface temperature changes And Spatial pattern of land use changes (Case study: Zanjan city). The Journal of Spatial Planning 21(3), 144-119.
Lu, D., Song, K., Zang, S., Jia, M., Du, J., Ren, C., 2015. The effect of urban expansion on urban surface temperature in Shenyang, China: an analysis with landsat imagery. Environmental Modelling Assessment 20, 197-210.
Lucas, I.F., Frans, J.M., Wel, V.D., 1994. Accuracy assessment of satellite derived landcover data: a review. Photogramm. Photogrammetric Engineering & Remote Sensing 60, 410-432.
Niazi, Y., Ekhtesasi, M, R., Malekinejad, H., Hosseini, Z., Morshedi, J., 2010. Comparison of two methods of maximum Likelihood classification and artificial neural network in land use map extraction Case study: Ilam dam basin. Geography and Development 20(8), 119-132. (In Persian)
Otukei, J.R., Blaschke, T., 2010. Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. International Journal of Applied Earth Observation and Geoinformation 12, S27-S31.
Otukei, J.R., Blaschke, T., 2010. Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. International Journal of Applied Earth Observation and Geoinformation 12, S27-S31.
Wang, W., Liu, K., Tang, R., Wang, S., 2019. Remote sensing image-based analysis of the urban heat island effect in Shenzhen, China. Physics and Chemistry of the Earth, Parts A/B/C. 110. 168-17.
 
Journal of Natural Environment
Volume 75, Issue 3 - Serial Number 3
September 2022
Pages 384-398