Assessment of the Temporal and Spatial Variations of Urban Development Using RS and GIS: A Case Study—Yasuj, Iran

  • Arezoo Salamatnia
  • Seyed Ali JoziEmail author
  • Saeed Malmasi
  • Roya Nezakati
  • Mojgan Zaeimdar
Research Article


The temporal-spatial change of cities is one of the main challenges of managers and decision makers in urban development. In the present study, a parameter related to the evaluation of the capability of Yasuj City was selected, classed, and weighed to determine a desired location for urban development. Accordingly, in order to determine fuzzy maps, all factors and sub-factors were weighed using the AHP and hierarchical technique. Then, the maps of each sub-factor were standardized in IDRIS environment and the considered layers were combined in GIS environment to determine the land suitability for urban development. Next, in order to evaluate the trend of temporal-spatial variation of land use around Yasuj City, the prepared images of the Landsat satellite as well as TM, ETM+ and OLI sensors in Envin 5.1 software related to 1986, 2001, and 2016, respectively, were employed. Finally, based on the changes in land use of Yasuj City, the residential or urban sections widely changed. The changes included different uses such as forests, grasslands, agriculture, and water corpuses. In 1986–2016, the results of changes in land use around the Yasuj City indicated 5% increase in the residential section and 3, 2 and 1% decrease in rangelands, agricultural lands, and water bodies, respectively. Forests, which are located in the outer and inner sections of Yasuj City, have a lot of ecological functions. With the high speed of city development, the ecological functions of forests are decreasing, both quantitatively and qualitatively, and therefore, should be taken into consideration. The results of this study, and the similar studies, indicated that spatial data, especially data related to human settlements (since they are highly changeable), are a good foundation for detailed planning. Such kind of data is also used since they are suitable tools for research purposes.


Multi-criteria evaluation Ecological capacity assessment Urban sustainable development Temporal-spatial changes Yasuj 



  1. Aburas, M. M., Abdullah, S. H. O., Ramli, M. F., & Asha’ari, Z. H. (2017). Land suitability analysis of urban growth in Seremban Malaysia, using GIS based analytical hierarchy process. Procedia Engineering, 198, 1128–1136.CrossRefGoogle Scholar
  2. Aldwaik, S. Z., & Pontius, R. G. (2012). Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition. Landscape and Urban Planning, 106, 103–114.CrossRefGoogle Scholar
  3. Bagan, H., & Yamagata, Y. (2014). Land-cover change analysis in 50 global cities by using a combination of Landsat data and analysis of grid cells. Environmental Research Letters, 9, 064015.CrossRefGoogle Scholar
  4. Elhadary, Y., Narimah, S., & Obeng-Odoom, F. (2015). Development at the Peri-urban area and its impact on agricultural activities: An example from the Seberang Perai Region, Penang State, Malaysia. Agroecology and Sustainable Food Systems, 37, 834–856.CrossRefGoogle Scholar
  5. Elhadary, Y., & Saman, N. (2015). Integrating geographic information system and discriminant analysis in modelling urban spatial growth: An example from Seberang Perai Region, Penang State. Malaysia. Asian Social Science., 11(2), 32–40.Google Scholar
  6. Estoque, R. C., & Murayama, Y. (2015). Intensity and spatial pattern of urban land changes in the megacities of Southeast Asia. Land Use Policy, 48, 213–222.CrossRefGoogle Scholar
  7. Estoque, R. C., & Murayama, Y. (2016). Quantifying landscape pattern and ecosystem service value changes in four rapidly urbanizing hill stations of Southeast Asia. Landscape Ecology, 31, 1481–1507.CrossRefGoogle Scholar
  8. Estoque, R. C., Murayama, Y., Kamusoko, C., & Yamashita, A. (2014). Geospatial analysis of urban landscape pattern in three major cities of Southeast Asia. Tsukuba Geoenvironmental Science, 10, 3–10.Google Scholar
  9. Fichera, C. R., Modica, G., & Pollino, M. (2012). Land cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics. European Journal of Remote Sensing, 45, 1–18.CrossRefGoogle Scholar
  10. Hersperger, A. M., Gennaio, M.-P., Verburg, P. H., & Bürgi, M. (2010). Linking land change with driving forces and actors: Four conceptual models. Ecology and Society, 15, 1–17.CrossRefGoogle Scholar
  11. Iranian Statistics Center. (2011). Census general population and housing. Boyerahmad city: Iranian Statistics Center.
  12. Jie, L., Jing, Y., Wang, Y., & Shu-xia, Y. (2010). Environmental impact assessment of land use planning in Wuhan City based on ecological suitability analysis. Procedia Environmental Sciences, 2, 185–191.CrossRefGoogle Scholar
  13. Jozi, S. A. (2010). Evaluation of ecological capability using spatial multi criteria evaluation method (SMCE) (Case study: Implementation of Indoor recreation in Varjin protected area-Iran). IJESD, 1, 273–277.CrossRefGoogle Scholar
  14. Khadija, G., Makram, A., & Salah, J. (2015). Geospatial and AHP-multicriteria analyses to locate and rank suitable sites for groundwater recharge with reclaimed water. Resources, Conservation and Recycling, 104, 19–30.CrossRefGoogle Scholar
  15. Li, S., Juhász-Horváth, L., Pedde, S., Pintér, L., Rounsevell, M. D. A., & Harrison, P. A. (2017). Integrated modelling of urban spatial development under uncertain climate futures: A case study in Hungar. Environmental Modelling and Software, 96, 251–264.CrossRefGoogle Scholar
  16. Liu, J., Ye, J., Yang, W., & Yu, S. (2010). Environmental impact assessment of land use planning in Wuhan City based on ecological suitability analysis. Journal of Procedia Environmental Sciences, 2, 185–191.CrossRefGoogle Scholar
  17. Liu, R., Zhang, K., Zhang, Z., & Borthwick, A. G. L. (2014). Land-use suitability analysis for urban development in Beijing. Journal of Environmental Management, 145, 170–179.CrossRefGoogle Scholar
  18. Mahboob, M. A., Atif, I., & Iqbal, J. (2015). Remote sensing and GIS applications for assessment of Urban Sprawl in Karachi, Pakistan. Science, Technology and Development, 34, 179–188.CrossRefGoogle Scholar
  19. Mazidi, A., & Safarzadeh, M. (2010). Identification and ranking of factors affecting the use of residential land using MADM techniques, case study: Yasuj City. Geography and Development Quarterly, 21, 81–96.Google Scholar
  20. Poyil, R. P., & Misra, A. K. (2015). Urban agglomeration impact analysis using remote sensing and GIS techniques in Malegaon city, India. International Journal of Sustainable Built Environment, 4(1), 136–144.CrossRefGoogle Scholar
  21. Purevtseren, M., Myagmarsuren, B, & Brandt, S. A. (2017). Implications of a spatial multicriteria decision analysis for urban development in Ulaanbaatar, Mongolia. Mathematical Problems in Engineering, 201, Article ID 2819795.Google Scholar
  22. Sabbar, K., Elhadary, Y., & Samat, N. (2015). GIS and remote sensing techniques for measuring agriculture land loss in Balik Pulau Region of Penang State, Malaysia. Journal of Agriculture and Rural Development, 5, 30.Google Scholar
  23. Sankhala, S., & Singh, B. (2014). Evaluation of urban sprawl and land use land cover change using remote sensing and GIS techniques: A case study of Jaipur City, India. International Journal of Emerging Technology and Advanced Engineering, 4, 66–72.Google Scholar
  24. Seto, K. C., & Fragkias, M. (2015). Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecology, 20, 871–888.CrossRefGoogle Scholar
  25. Xu, J., Chen, Z., Xue, J., Chen, Y., & Liu, Z (2016). A review of experimental results of steel reinforced recycled aggregate concrete members and structures in china. 6th international workshop on performance & strengthening of structures under extreme loading, Guangzhou, China, pp. 109–119.Google Scholar

Copyright information

© Indian Society of Remote Sensing 2019

Authors and Affiliations

  • Arezoo Salamatnia
    • 1
  • Seyed Ali Jozi
    • 2
    Email author
  • Saeed Malmasi
    • 2
  • Roya Nezakati
    • 2
  • Mojgan Zaeimdar
    • 2
  1. 1.Faculty of Technical and EngineeringIslamic Azad University, North Tehran BranchTehranIran
  2. 2.Department of Environment, Faculty of Technical and EngineeringIslamic Azad University, North Tehran BranchTehranIran

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