Assessment of Urban Sprawl in Sargodha City using Remotely Sense Data
DOI:
https://doi.org/10.12775/EQ.2022.030Keywords
urban areas, demographic processes, land use change, spatial pattern, rate of urban sprawl, GIS, satellite imageryAbstract
The current study focuses on tracking urban sprawl in one of the rapidly growing cities of Pakistan i.e., Sargodha. The secondary cities have the capacity to persuade people from rural areas to relocate. In this regard, the current study is unique in that it will give a comprehensive analysis of urban sprawl of Sargodha City. The remotely sensed data is used for this purpose. The study is primarily based on the collecting of both primary and secondary data. For the last 30 years, from 1987 to 2017, primary data was gathered from the United States Geological Survey (USGS) and the Global Land Cover Facility (GLCF). ERDAS Imagine 2013 is used to classify land use using remotely sensed data. The Kappa Coefficient was used to compute the accuracy assessment of classified maps. Maps are used to depict a comparative analysis of urban sprawl in the city. In addition, regression analysis and simple statistical computations are also utilised to assess dynamic changes in urban sprawl. From 1987 to 2017, a 10-year interval was used to measure change in built-up land using an equation. According to the findings of the study, Sargodha City has experienced considerable changes in land use patterns. This current study is beneficial for policymakers to design the city in a well-planned manner. The appropriate design of cities can pave the way for higher living standards in rapidly growing cities of Pakistan.
References
Anderson J.R., 1976, A land use and land cover classification system for use with remote sensor data, Vol. 964. US Government Printing Office, Washington.
Anderson J.R., Hardy E.E., Roach J.T. & Witmer R.E., 2001, A Land Use And Land Cover Classification System For Use With Remote Sensor Data. United States Government Printing Office, Washington.
Araya Y.H., 2009, Urban land use change analysis and modelling: a case study of Setúbal-Sesimbra, Portugal. Master Thesis, Institute of Geoinformatics, Umiversity of Münster, Münster, 61 pp.
Cohen B., 2004, Urban growth in developing countries: a review of current trends and a caution regarding existing forecasts. World Development 32(1): 23–51.
Dewan A.M. & Yamaguchi Y., 2009, Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization. Applied Geography 29: 390–401.
Hegazy I.R. & Kaloop M.R., 2015, Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment 4: 117–124.
Jabeen N., Farwa U. & Jadoon M., 2017, Urbanization in Pakistan: A Governance Perpective. Journal of the Research Society of Pakistan 54(1): 127–136.
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.
Johnson M.P., 2001, Environmental Impacts of Urban Sprawl: A Survey of the Literature and Proposed Research Agenda. Environment and Planning A: Economy and Space 33(4): 717–735.
Kassa F., 2014, The rates and effects of urban sprawl in developing countries: the case of Addis Ababa, Ethiopia. International Journal of Area Studies 9(2): 135–151.
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.
Kraemer H.C., 2014, Kappa coefficient. Wiley StatsRef: statistics reference online, p. 1-4.
Li F., 2012, Investigation of urban sprawl on the basis of remote sensing data: a case study in Jiangning, Nanjing City, China. Doctor of Engineering, University of Stuttgart.
Mohsin M., Ajmal F., Khan A.A. & Bhalli M., 2015, Sprawling Housing Schemes and Loss of Farmland: A Case of Bahawalpur City, Pakistan. Science International 27(5): 4405–4411.
Ojima R. & Hogan D.J., 2009, Mobility, urban sprawl and environmental risks in Brazilian urban agglomerations: challenges for urban sustainability, [in:] A. de Sherbiniin, A. Rahman, A. Barbieri, J.C. Fotso, Y. Zhu (eds.), Urban population-environment dynamics in the developing world: Case studies and lessons learned, p. 281–316. Committee for International Cooperation in National Research in Demography (CICRED), Paris.
Rahman M.T., 2016, Detection of Land Use/Land Cover Changes and Urban Sprawl in Al Khobar, Saudi Arabia: An Analysis of Multi Temporal Remote Sensing Data. International Journal of Geoinformation 5(15): 1–16.
Rawat J.S. & Kumar M., 2015, Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Sciences 18: 77–84.
Seto K.C. & Fragkias M., 2005, Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecology 20: 871–888.
Tendaupenyu P., Hilary C., Magadza D. & Murwira A., 2016, Changes in landuse/landcover patterns and human population growth in the Lake Chivero catchment, Zimbabwe. Geocarto International 32(7): 797–811.
Tian G., Xu X., Liu X. & Kong L., 2016, The Comparison and Modeling of the Driving Factors of Urban Expansion for Thirty-Five Big Cities in the Three Regions in China. Advances in Meteorology, 2016(6792).
United Nations, 2017, Urbanization and sustainable development in Asia and the Pacific: linkages and policy implications. Economic and Social Council E/ESCAP/73/16: 1–19.
Wilson B. & Chakraborty A., 2013, The environmental impacts of sprawl: emergent themes from the past decade of planning research. Sustainability 5(8): 3302–3327.
Xie Y. & Fan Z., 2003, Examine Urban Expansion from Remote sensing and GIS: A case study in Beijing. Asian Geographer 22(1–2): 109–122.
Zhao C., Jensen J. & Zhan B., 2017, A comparison of urban growth and their influencing factors of two border cities: Laredo in the US and Nuevo Laredo in Mexico. Applied Geography 79: 223–234.
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Copyright (c) 2022 Humayun Ashraf, Muhammad Mobeen, Muhammad Miandad, Mehtab Ahmed, Ghani Rahman, Saira Munawar
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