The focus of this study is on the application of GIS and remote sensing on urbanization and its impact on land use changes in Sargodha from 1992-2015. Sargodha has witnessed rapid urbanization and due to urban expansion many changes have been detected in the land use of Sargodha. For this study, census data, multi-temporal city maps and multi spectral satellite images are used. Landsat TM 1992 and ETM+ 2000, 2005, 2010 and 2015 Landsat 8 are classified using supervised classified method (MLC) to produce land use maps. The classification accuracy has been assessed by calculating kappa index of agreement and ground control points were also collected to verify the results. The results indicate that, over the past 24 years there is a growing trend in urban land use while the agricultural land and all other categories are showing a declining trend since 1992. The total increase in urban land use is 25380.8 hectares and it has increased in 2000, 2005, 2010, and 2015 at the rate of 2.2%, 4.1%, 9.2% and 17.4% respectively. This rapid urbanization resulted into loss of agricultural land. While the overall change observed in agricultural land, water area and bare land is -11008.5, -38926.5 and 9492.7 hectares respectively.
Deng JS, Wang K, Hong Y, Qi JG. Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization. Landscape and Urban Planning 2009; 92(3): 187-198. https://doi.org/10.1016/j.landurbplan.2009.05.001
Antrop M, Eetvelde VV. Holistic aspects of suburban landscapes: visual image interpretation and landscape metrics. Landscape and Urban Planning 2000; 50: 43-58. https://doi.org/10.1016/S0169-2046(00)00079-7
Antrop M. Landscape change and the urbanization process in Europe. Landscape and Urban Planning 2004; 67(1): 9-26. https://doi.org/10.1016/S0169-2046(03)00026-4
Siciliano G. Urbanization strategies, rural development and land use changes in China: A multiple-level integrated assessment. Land Use Policy 2012; 29(1): 165-178. https://doi.org/10.1016/j.landusepol.2011.06.003
Adeel M. Methodology for identifying urban growth potential using land use and population data: A case study of Islamabad Zone IV. Procedia Environmental Sciences 2010; 2: 32-41. https://doi.org/10.1016/j.proenv.2010.10.006
GOP. Pakistan economic survey 2014-2015. Islamabad: Finance Division Islamabad, Govt. of Pakistan 2015.
Haider M, Badami MG. Urbanization and local governance challenges in Pakistan. Environment and urbanization ASIA 2010; 1(1): 81-96. https://doi.org/10.1177/097542530900100107
Rai PK, Kumra V. Role of Geoinformatics in Urban Planning. Journal of Scientific Research 2011; 55: 11-24.
Riaz O, Ghaffar A, Butt I. Modelling Land Use Patterns of Lahore (Pakistan) using remote Sensing and GIS. Global Journal of Science Frontier Research. Environment & Earth Science 2014; 14(1): 24-30.
Rawat J, Kumar M. 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 Science 2015; 18: 77-84. https://doi.org/10.1016/j.ejrs.2015.02.002
Verma RK, Kumari KS, Tiwary R. Application of Remote Sensing and GIS technique for efficient urban planning in India. Paper presented at the Geometrics Conference Proceedings. Mumbai, India 2009. Retrieved: http://www.csre.iitb.ac.in/~csre/conf/wp-content/uploads/fullpapers/OS4/OS4_13.pdf.
Government of the Punjab. Punjab Development Statistic 2015. Bureau of Statistics, Government of Punjab, Lahore, 312, 2015.
Jensen RJ. Introductory Digital Image Processing: A Remote Sensing Perspective. United States of America: Pearson Prentice Hall 2005.
Government of Pakistan. District Census Report of Sargodha 1998. Population census organization statistics division Islamabad, Government of Pakistan 1999.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2017 Journal of Basic & Applied Sciences