Loss of arable land due to rapid urbanization: a remote sensing based study on Gujrat District, Pakistan

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Research Paper 01/09/2018
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Loss of arable land due to rapid urbanization: a remote sensing based study on Gujrat District, Pakistan

Naima Anwar, Saima Siddiqui
J. Bio. Env. Sci.13( 3), 38-47, September 2018.
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District Gujrat is a 27th largest district of Punjab, Pakistan which endures high growth rate of population resulting expansion in infrastructure. Gujrat has 91% of its total land area as arable land which is the limited and the most valuable resource. The arable land is being consumed by the process of urbanization. Gradual increase in built-up is directly decreasing arable land and permeable surfaces. The current research was aimed to identify expansion of built-up areas mainly on arable land and to estimate the loss of arable land suing GIS and RS techniques. Remotely sensed data (Landsat TM-1993, ETM+ 2003 and TIRS 2017) was used to evaluate the land use and land cover classification. Secondary data were collected from soil survey of Pakistan. GIS technologies and statistical approach were used to analyze quantitative and spatial attribute data. Results proved that District Gujrat is losing 0.1% arable land annually and if such loss remains continue, then within next 500 years Gujrat will loss all of its arable land. National and local administrative bodies need to formulate policies and legal laws for urban growth directions. By managing urban expansion towards unproductive or barren areas, the loss of arable land can be minimized.


Abass K, Adanu SK, Agyemang S. 2018.Peri-urbanisation and loss of arable land in Kumasi Metropolis in three decades: Evidence from remote sensing image analysis. Land Use Policy 72, 470-479.    http://dx.doi.org/10.1016/j.landusepol.2018.01.013

Anil NC, Sankar GJ, Rao MJ, Prasad IVRKV, Sailaja U. 2011. Studies on land use/land cover and change detection from parts of South West Godavari District, A.P-using remote sensing and GIS techniques.Techniques. Journal of Indian Geophysical Union 15(4),187-194.

Beryant C. 2004. The impact of urbanization on rural land use, in the role of food, agriculture, forestry and fisheries in human nutrition, [Ed. Victor R. Squires], in Encyclopedia of Life Support Systems (EOLSS), Developed under the auspitious of UNESCO, Eolss Publishers, Oxford, UK.

Dewan AM, Yamaguchi Y. 2009. Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Applied Geography 29(3), 390-401. http://dx.doi.org/10.1016/j.apgeog.2008.12.005

District Census Report of Gujrat. 1998. Population Census Organization Statistics Division, Islamabad, Government of Pakistan.

Doos RB. 2002. Population growth and loss of arable land. Global Environmental Change 12(4), 303-311.

Kavitha A, Somashekar RK, Nagaraja BC.2015. Urban expansion and loss of agriculture land – a case of Bengaluru city. International Journal of Geomatics and Geosciences 5(3), 492-498.

Lasisi M, Popoola A, Adediji A, Adedeji O, Babalola K. 2017. City expansion and agricultural land loss within the peri-urban area of Osun State, Nigeria. Ghana Journal of Geography 9(3), 132-163.

Lean W, Goodall B. 1977. Aspects of Land Economics. The Estate Gazette Limited, London.

Lillesand T, Kiefer RW, Chipman J. 2015. Remote sensing and image interpretation 7th Ed. p. 736.

Lu Q, Soderlund L, Peilin W, Juan L. 2005. Cultivated land loss arising from the rapid urbanization in China. MTT Agrifood Research Reports 68, 313-327.

Mahboob MA. 2011. Assessment of urban sprawl of Lahore, Punjab, Pakistan using multi-stage remote sensing data. Science International 6, 6219-6224.

Mohsin M, Bhalli MN.2015. Rapid urban growth and change in urban and municipal limits of Bahawalpur City, Pakistan: A spatio-periodical discourse. Journal of Basic and Applied Sciences 11, 528-538.

Pandey B, Seto KC. 2014. Urbanization and agricultural land loss in India: comparing satellite estimates with census data. Journal of Environmental Management 53, 53-66. http://dx.doi.org/10.1016/j.jenvman.2014.05.

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

Rimal B. 2012.Urbanization and the decline of agricultural land in Pokhara Sub-metropolitan City, Nepal. Journal of Agriculture Science 5(1), 54-65.

Running SW, Loveland RT, Pierce LL, Nemani RR, Hunt ER.1995. A remote sensing based vegetation classification logic for global land cover analysis. Remote Sensing of Environment 51(1), 39-48.

Samiullah. 2012. Expansion of built up area and its impact on urban agriculture in Peshawar Pakistan. PhD thesis submitted to Department of Geography, University of Peshawar, Pakistan.

Shi K, Chen Y, Yu B, Xu T, Li L, Huang C, Liu R, Chen Z, Wu J. 2016. Urban expansion and agricultural land loss in China: a multiscale perspective sustainability 8, 1-16. http://dx.doi.org/10.3390/su8080790

Slingsby AE. 1991. Shelter for low income communities first interim report Punjab, Centre for Development and Environmental Planning. Oxford, UK.

Soil Survey of Pakistan Lahore. 1978. Reconnaissance soil survey report Gujrat area.

Wang H, Qiu F. 2017.Investigating the impact of agricultural land losses on deforestation: Evidence from a peri-urban area in Canada. Ecological Economics 139, 9-18. http://dx.doi.org/10.1016/j.ecolecon.2017.04.002

Yan H, Liu J, Huang HQ, Tao T, Cao M. 2009. Assessing the consequence of land use change on agricultural productivity in China. Global and Planetry Change 67(1-2), 13-19. http://dx.doi.org/10.1016/j.gloplacha.2008.12.012

Yar P, Rahman A, Khan MA, Samiullah S, Shah AA. 2016. Spatio-temporal analysis of urban expansion on farmland and its impact on the agricultural land use of Mardan City, Pakistan. Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences 53(1), 35-46.

Zhang J, Li P, Wang J. 2014. Urban built-up area extraction from Landsat TM/ETM+ images using spectral information and multivariate texture. Remote Sensing 6(8), 7339-7359. http://dx.doi.org/10.3390/rs6087339