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Horizontal Development of Built-Up Area and Its Impacts on the Agricultural Land of Peshawar City District (1991–2014)

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Abstract

Peshawar City is experiencing a rapid spatial urban growth primarily as a result of high rate of urbanization along with economic development. This paper was designed to understand the impacts of urbanization on agriculture land use change by particularly focusing on land use change trajectories from the past (1991–2014). We used Landsat imageries (30 m) for 1991 and 2014. The ground truthing of the satellite data was performed by collecting information from Peshawar Development Authority, revenue department, real estate agents and interviews with the officials of city administration. The temporal satellite images were processed by applying supervised maximum likelihood classification technique in ArcGIS 9.3. The procedure resulted into five main classes of land use, i.e., built-up area, farmland, barren land, cultivable wasteland and water bodies. The analysis revealed that in Peshawar City, the built environment has been doubled from 8.1% in 1991 to over 18% in 2014 by predominantly encroaching land producing food. Furthermore, the CA–Markov model predicted that the area under impervious surfaces would continue to flourish during the next three decades. This rapid increase in built-up area is accredited to the lack of proper land use planning and management, which has caused chaotic urban sprawl with detrimental social and environmental consequences.

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References

  • Anderson, J. R., Hardy, E. E., Roach, J. T., & Witmer, R. E. (1976). A land use and land cover classification system for use with remote sensor data, A revision of the land use classification system as presented in U.S. Geological Survey Circular 671, Vol. 964. Washington DC: US Government Printing Office.

    Google Scholar 

  • Anjum, A. G., & Hameed, R. (2007). Dynamic of colonization of peripheral housing scheme: Policy options in Case of Lahore. Pakistan Journal of Engineering & Applied Sciences, 1, 24–30.

    Google Scholar 

  • Barnes, K. B., Morgan, J. M., III, Roberge, M. C., & Lowe, S. (2001). Sprawl development: Its patterns, consequences, and measurement. Towson, MD: Towson University.

    Google Scholar 

  • Batisani, N., & Yarnal, B. (2009). Urban expansion centre country Pennsylvania: Spatial dynamics and landscape transformations. Applied Geography, 29, 235–249.

    Article  Google Scholar 

  • Burghardt, W. (2006). Soil sealing and soil properties related to sealing. In E. Frossard, W. E. H. Blum, & B. P. Warkentin (Eds.), Function of soils for human societies and the environment, Special Publications (Vol. 266, pp. 117–124). London: The Geological Society.

    Google Scholar 

  • Congalton, R., & Green, K. (2009). Assessing the accuracy of remotely sensed data: Principles and practices, 2nd edn.. Abingdon: Taylor and Francis Group.

    Google Scholar 

  • Del Mar López, T., Aide, T. M., & Thomlinson, J. R. (2001). Urban expansion and the loss of prime agricultural lands in Puerto Rico. Ambio: a Journal of the Human environment, 30(1), 49–54.

  • Dewan, A. M., & Yamaguchi, Y. (2009). Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960–2005. Environmental Monitoring and Assessment, 150(1–4), 237.

    Article  Google Scholar 

  • Eastman, J. R. (2003). IDRISI Kilimanjaro, guide to GIS and image processing. Worcester, MA: Clark Lab., Clark University.

    Google Scholar 

  • Haregeweyn, N., Fikadu, G., Tsunekawa, A., Tsubo, M., & Meshesha, D. T. (2012). The dynamics of urban expansion and its impacts on land use/land cover change and small-scale farmers living near the urban fringe: A case study of Bahir Dar, EthiopiaLandscape and Urban Planning, 106(2), 149–157.

    Article  Google Scholar 

  • Imhoff, M. L., Lawrence, W. T., Elvidge, C. D., Paul, T., Levine, E., Privalsky, M. V., et al. (1997). Using nighttime DMSP/OLS images of city lights to estimate the impact of urban land use on soil resources in the United States. Remote Sensing of Environment, 59(1), 105–117.

    Article  Google Scholar 

  • Jafar, N., Alireza, G., Reza, A., Shahrzad, F., & Mahsa, A. (2014). Predicting urban land use changes using a CA–Markov model. Arabian Journal for Science and Engineering, 39, 5565–5573.

    Article  Google Scholar 

  • Khan, A. A., Arshad, S., & Mohsin, M. (2014). Population growth and its impact on urban expansion: A case study of Bahawalpur, Pakistan. Universal Journal of Geoscience, 2(8), 229–241.

    Google Scholar 

  • Khan, A. N., & Rahman, A. (2000). Urbanization: Trends and prospects in Pakistan. Pakistan Journal of Geography, 10(1–2), 31–43.

    Google Scholar 

  • Liu, C., Frazier, P., & Kumar, L. (2007). Comparative assessment of the measures of thematic classification accuracy. Remote Sensing of Environment, 107, 606–616.

    Article  Google Scholar 

  • Mundia, C. N., & Murayama, Y. (2010). Modeling spatial processes of urban growth in African cities: A case study of Nairobi City. Urban Geography, 31(2), 259–272.

    Article  Google Scholar 

  • Mynt, S. W., & Wang, L. (2006). Multi criteria decision approach for land use land cover change using Markov chain analysis and a cellular automata approach. Remote Sensing, 32, 237–240.

    Google Scholar 

  • Prokop, G., Jobstmann, H., & Schoenbauer, A. (2011). Report on best practices for limiting soil sealing and mitigating its effects. Study contracted by the European Commission, DG Environment, Technical Report-2011–50, Brussels, Belgium, 231 pp.

  • Quasem, M. A. (2011). Conversion of agricultural land to non-agricultural uses in Bangladesh: Extent and determinants. Bangladesh Development Studies, 34(1), 59–85.

    Google Scholar 

  • Saleh, B., & Rawashdeh, S. A. (2007). Study of urban expansion in Jordanian Cities using GIS and remote sensing. International Journal of Applied Science and Engineering, 5, 41–52.

    Google Scholar 

  • Samiullah. (1998). Urban sprawl in Peshawar city: A case study of eastern side of Peshawar city. An unpublished M.Sc. thesis submitted to the Department of Geography, Urban and Regional Planning. Pakistan: University of Peshawar.

  • Samiullah. (2012). Expansion of built up area and its impact on urban agriculture in Peshawar Pakistan. Ph.D. thesis submitted to the Department of Geography, University of Peshawar-Pakistan.

  • Sang, L., Zhang, C., Yang, J., Zhu, D., & Yun, W. (2011). Simulationofland use spatial pattern of towns and villages based on CA–Markov model. Mathematical and Computer Modelling, 54, 938–943.

    Article  Google Scholar 

  • Thompson, A. W., & Prokopy, L. S. (2009). Tracking urban sprawl: Using spatial data to inform farmland preservation policy. Land Use Policy, 26, 194–204.

    Article  Google Scholar 

  • Turok, I., & Mykhnenko, V. (2007). The trajectories of European cities, 1960–2005. Cities, 24, 165–182.

    Article  Google Scholar 

  • United Nations. (2014). World urbanization prospects, 2014 revision. New York, NY: United Nations, DESA, Population Division.

    Book  Google Scholar 

  • Vaz, E., & Arsanjani, J. J. (2015). Predicting urban growth of the Greater Toronto area-coupling a Markov cellular automata with document meta-analysis. Journal of Environmental Informatics, 25(2), 7.

    Article  Google Scholar 

  • Weng, Q. (2001). A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang delta, Southern China. International Journal of Remote Sensing, 22(10), 1999–2014.

    Google Scholar 

  • Wu, N., & Silva, E. (2010). Artificial/intelligence solutions for urban land dynamics: A review. Journal of Planning Literature, 24, 246–265.

    Article  Google Scholar 

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Correspondence to Pukhtoon Yar.

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Yar, P., Huafu, J. Horizontal Development of Built-Up Area and Its Impacts on the Agricultural Land of Peshawar City District (1991–2014). J Indian Soc Remote Sens 47, 1537–1545 (2019). https://doi.org/10.1007/s12524-019-00999-3

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