Forecasting the urban spatial expansion of Yasouj and the change in uses of its suburbs

Document Type : Research Paper

Authors

1 Department of Nature Engineering, Faculty of Agriculture, Yasouj University, Yasouj, Iran.

2 Department of Urban Planning, Faculty of Art and Architecture, Yazd University, Yazd, Iran.

10.22059/jne.2026.411363.2895

Abstract

Uncontrolled and scattered urban development in growing cities has created serious challenges for environmental sustainability. This research was conducted to predict the spatial development of Yasouj city and the changes in its surrounding land uses from 2001 to 2037. Landsat 7 satellite data were used for 2001 and 2013, and Landsat 8 data for 2025. After performing radiometric and atmospheric corrections on the images using ENVI 5.6 software, supervised classification was performed using the Maximum Likelihood Classification (MLC) method, and its accuracy was validated. To simulate and predict changes, the CA-Markov model was used within the TerrSet 2020 software environment. The results of this study showed that during the studied period, the area of residential and agricultural lands increased. The classification results for all three studied years had acceptable accuracy; therefore, it can be claimed that the model possesses acceptable spatial and quantitative accuracy. The growth of residential and agricultural areas primarily occurred at the expense of the quantitative and qualitative reduction of forests and fertile rangelands surrounding the city. The prediction map for the year 2037 shows an intensification of urban sprawl, extensive expansion of scattered settlements, and further weakening of natural land covers. The findings highlight the necessity of revising urban development patterns in Yasouj and adopting approaches based on compact growth, defining urban growth boundaries, and preserving green belts to ensure a balance between development needs and ecological sustainability. Therefore, it is recommended to utilize the inner capacity of the city (infill development) instead of urban growth in peripheral and suburban areas.

Keywords

Abadura, D.A., Sokido, D.L., 2024. The practice of urban planning in managing urban expansion: The case of level-I towns in southern Ethiopia. Landscape Architecture and Regional Planning 9(2), 38-53.
Albasri, N.A.H., Al-Jawari, S.M., Al-Mosherefawi, O.J., 2022. Prediction of Urban Spatial Changes Pattern Using Markov Chain. Civil Engineering Journal 8(4), 717-730.
Alsharif, A.A.A., Pradhan, B., Shafri, H.Z.M., 2022. Urban expansion and environmental sustainability assessment using remote sensing and GIS techniques. Environmental Monitoring and Assessment 194(5), 1-18.
Asadi, A., Akbari, A., Shafiei, N., 2021. Prediction of the physical development of Qaen city using satellite imagery. Geographical Data (Sepehr) 10(1), 67-84. (In Persian)
Bebi, B. B., Iyambo, S. N., 2025. A study of spatial and temporal variation of urban population growth in Windhoek, Namibia. Environmental Research Communications, 7,055012.
Bhushan, V., 2025. Assessing the effects of urban sprawl on local ecosystems and biodiversity. International Journal for Multidisciplinary Research, 7(4), Article IJFMR250454608.
Bueno-Suárez, C., Coq-Huelva, D., 2020. Sustaining what is unsustainable: A review of urban sprawl and urban socio-environmental policies in North America and Western Europe. Sustainability 12(11), 4445.
Cheng, J., Masser, I., 2004. Understanding Spatial and Temporal Processes of Urban Growth: Cellular Automata Modelling. Environment and Planning B: Planning and Design 31(6), 895-920.
Clark, W.A., Hosking, P.L., 1986. Statistical methods for geographers (Chapter 13), New York. John Wiley and Sons, 528 p.
Congalton, R.G., Green, K., 1999. Assessing the accuracy of remotely sensed data: principles and practices, Boca Raton: Lewis Publications.
Enoguanbhor, E. C., Gollnow, F., Walker, B.B., Nielsen, J.O., Lakes, T., 2021. Key challenges for land use planning and its environmental assessments in the Abuja city-region, Nigeria. Land 10(5), 443.
Farzin, M., Khazaei, M., 2021. Monitoring, forecasting, and analyzing the trend of 40 years of land cover/land use change around Yasuoj city, Iranian Journal of Forest 12(4), 525-539.
Fenta, A.A., Yasuda, H., Haregeweyn, N., Belay, A.S., Hadush, Z., Gebremedhin, M.A., Mekonnen, G., 2017. The dynamics of urban expansion and land use/land cover changes using remote sensing and spatial metrics: The case of Mekelle City of northern Ethiopia. International Journal of Remote Sensing 38(14), 4107–4129.
Festus, I.A., Omoboye, I.F., Andrew, O.B., 2020. Urban sprawl: Environmental consequence of rapid urban expansion. Malaysian Journal of Social Sciences and Humanities 5(6), 110-120.
Jat, M. K., Garg, P. K., Khare, D., 2008. Modelling of urban growth using spatial analysis techniques: A case study of Ajmer city (India). International Journal of Remote Sensing 29(2), 543--567. 
Kang, J., Fang, L., Li, S., Wang, X., 2019. Parallel cellular automata Markov model for land use change prediction over MapReduce framework. ISPRS International Journal of Geo-Information 8(10), 454.
Lu, H., Shang, Z., Ruan, Y., Jiang, L., 2023. Study on urban expansion and population density changes based on the inverse S-shaped function. Sustainability 15(13), 10464.
Mansourmoghaddam, M., Rousta, I., Cabral, P., Ali, A.A., Olafsson, H., Zhang, H., Krzyszczak, J., 2023. Investigation and prediction of the land use/land cover (LU/LC) and land surface temperature (LST) changes for Mashhad City in Iran during 1990-2030. Atmosphere 14(4), 741.
Mathanraj, S., Ling, T.Y., 2021. Assessment of urban growth and its environmental impacts using geospatial techniques. Sustainable Cities and Society 64, 102528.
Mostafa, E., Li, X., Sadek, M., Dossou, J.F., 2021. Monitoring and forecasting of urban expansion using machine learning-based techniques and remotely sensed data: A case study of Gharbia Governorate, Egypt. Remote Sensing 13(22), 4498. 
Omidvar, K., Narengi Fard, M., Abasi, H., 2015. Detecting changes in land use and vegetation cover in Yasuj city using remote sensing, Journal: Geography and Urban-Regional Planning 5(16),111-126.
Pal, M., 2025. An investigation of urban expansion and environmental impacts in a Class I city of eastern India: A geospatial perspective. International Journal of Research Publication and Reviews 6(5), 12325-12334.
Pantiusjr, R.G., Spencer, J., 2005. Uncertainty in extrapolations of predictive land cover models. Environment and Planning and Design 33, 230-211.
Pilehvar, A.A., 2021. Spatial-geographical analysis of urbanization in Iran. Humanities and Social Sciences Communications 8(1), 63.
Rezaei, H., Karimi, S., Mohammadi, A., 2020. Examining the relationship between land use changes and geomorphological hazards using multi-criteria decision-making models (AHP and fuzzy). Journal of Geographical Sciences 19(74), 111-126. (In Persian)
Rimal, B., Sharma, R., Kunwar, R.M., Keshtkar, H., 2025. Urbanization-induced environmental challenges in mountainous regions: Implications for sustainable urban planning. Journal of Environmental Management 352, 120019.
Rimal, B., Zhang, L., Stork, N., Sloan, S., Rijal, S., 2017. Urban expansion occurred at the expense of agricultural lands in the Tarai region of Nepal from 1989 to 2016. Sustainability 9(6), 1-17.
Rufino, I., Djordjević, S., Costa de Brito, H., Alves, P. B. R., 2021. Multi-temporal built-up grids of Brazilian cities: How trends and dynamic modelling could help on resilience challenges? Sustainability 13(2), 748.
Salamatnia, A., Balist, J., Nahavandchi, M., 2025. Developing and accessing a sustainable strategy for Yasuj City: Integrating SWOT, Strategic Position, and Action Evaluation Matrix, and scenario planning. Urban Planning and Construction 3(1), 94-109.
Salman Mahiny, A., 2006. Refining of training samples in supervised classification of satellite imagery. A case study: Gorgan and suburbs. Gorgan University of Agricultural Sciences and Natural Resources. unpublished paper.14 p.
Salman Mahiny, A., Kamiab, H., 2010. Remote Sensing and Geographic Information Systems using IDRISI software. Office of Environmental.
Simon, O., Ngereja, Z.R., 2025. Drivers of informal settlement growth and land use change in Dar es Salaam: Insights from remote sensing and GIS (1995–2024). Journal of the Geographical Association of Tanzania 45(1), 23-43.
Xu, H., Wang, Y., Guan, H., Shi, T., Fang, C., 2022. Evaluation of ecological environment quality and its association with urbanization in China using remote sensing ecological index. Remote Sensing 14(2), 198.
 Yuan, F., Sawaya, K.E., Loeffelholz, B.C., Bauer, M.E., 2005. Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing. Remote Sensing of Environment 98, 317-328.
Zandi, R., Shahriyar, F., Zanganeh, Y., Ckganeh, M., 2025. Assessment of suburban space development and prediction of land use changes (Case study: Torbat Heydarieh city). Journal of Suburban Space Development 1(7), 27-54. )In Persian(
Zhao, J., Xiao, L., Tang, L., Shi, L., Su, X., Wang, H., Song, Y., Shao, G., 2014. Effects of spatial form on urban commute for major cities in China. International Journal of Sustainable Development & World Ecology 21(6), 548-555.