Spatio-temporal residential land-use changes in District Abbottabad from 1990 to 2018
Paper Details
Spatio-temporal residential land-use changes in District Abbottabad from 1990 to 2018
Abstract
Land is one of the most important natural resources because it is a source of materials, all human activities are performed on land by using existing natural resources with the intention to get benefits from the land which is called Land use. Physical and biological cover includes water, vegetation, bare soil, artificial structures over the surface, or the land serves for a specific purpose such as recreation it refers to Land cover but it does not discuss surface cover on the ground. The purpose of the current study is monitoring land use land cover changes in Abbottabad during the period 1990 to 2018. The changes were detected by means of the supervised classification, using ArcGIS. The land classified into four major categories; built-up, barren, water, vegetation area. Resultant land cover land use overlay maps are generated in ArcMap to indicate the significant shift from Vegetation to Settlement. Vegetation area has been also improved due to afforestation through a billion tsunami projects. Therefore, reduction in a barren area, water almost remains stable. Mostly settlement was in the centrality, the barren area was in the east, south, and northeast mostly. The urbanization is causing adverse impacts on the forest area, agricultural land, water bodies, soil fertility; the ruination of vegetal land cover is the reason for the loss of biodiversity and cause human health problems. Therefore, proper land-use management is required; otherwise, this fruitful land will be lost and will no longer be able to play their role in the socio-economic development of the area.
Anderson JR. 1976. A land use and land cover classification system for use with remote sensor data (Vol. 964): US Government Printing Office.
Anjum AS, Zada R, Tareen WH. 2016. Organic farming: Hope for the sustainable livelihoods of future generations in Pakistan. Journal of Rural Development and Agriculture 1(1), 20-29.
Barnes KB, Morgan III JM, Roberge MC, Lowe S. 2001. Sprawl development: Its patterns, consequences, and measurement. Towson University, Towson 1-24.
Blaschke T, Lang S, Lorup E, Strobl J, Zeil P. 2000. Object-oriented image processing in an integrated GIS/remote sensing environment and perspectives for environmental applications. Environmental information for planning, politics and the public 2, 555-570.
Boakye E, Odai S, Adjei K, Annor F. 2008. Lansat Images for Assessment of the Impact of Land Use and Land Cover Changes on the Barekese Catchment in Ghana. European Journal of Scientific Research 21(4), 617-626.
Council NR. 2008. Earth observations from space: The first 50 years of scientific achievements: National Academies Press.
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.
Dregne HE, Chou NT. 1992. Global desertification dimensions and costs. Degradation and restoration of arid lands 249-282.
Fasona M, Adeonipekun PA, Agboola O, Akintuyi A, Bello A, Ogundipe O, Omojola A. 2018. Drivers of deforestation and land-use change in Southwest Nigeria. Handbook of Climate Change Resilience 1-24.
Fujiwara S, Tobita M, Sato HP, Ozawa S, Une H, Koarai M, Nishimura T. 2006. Satellite data gives snapshot of the 2005 Pakistan earthquake. Eos, Transactions American Geophysical Union 87(7), 73-77.
Giri CP. 2016. Remote sensing of land use and land cover: principles and applications: CRC press.
Halder JC. 2013. Land use/land cover and change detection mapping in Binpur-II Block, Paschim Medinipur District, West Bengal: A remote sensing and GIS perspective. IOSR Journal Of Humanities And Social Science 8(5), 20-31.
Hegazy IR, Kaloop MR. 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(1), 117-124.
Kassawmar T, Eckert S, Hurni K, Zeleke G, Hurni H. 2018. Reducing landscape heterogeneity for improved land use and land cover (LULC) classification across the large and complex Ethiopian highlands. Geocarto international 33(1), 53-69.
Keesstra SD, Bouma J, Wallinga J, Tittonell P, Smith P, Cerdà A, Van Der Putten WH. 2016. The significance of soils and soil science towards realization of the United Nations Sustainable Development Goals. Soil.
Kureshi N, Mann R, Khan M, Qureshi M. 2009. Quality management practices of SME in developing countries: a survey of manufacturing SME in Pakistan. Journal of Quality and Technology Management 5(2), 63-89.
Land AOotUN, Division WD, Planning AOotUNIWGoLU. 1995. Planning for sustainable use of land resources: towards a new approach: Food & Agriculture Organization of the UN (FAO).
Lang S. 2008. Object-based image analysis for remote sensing applications: modeling reality–dealing with complexity Object-based image analysis (pp. 3-27): Springer.
Lillesand T, Kiefer RW, Chipman J. 2015. Remote sensing and image interpretation: John Wiley & Sons.
Liu J, Hull V, Batistella M, DeFries R, Dietz T, Fu F, Li S. 2013. Framing sustainability in a telecoupled world.
Liu M, Hu Y, Chang Y, He X, Zhang W. 2009. Land use and land cover change analysis and prediction in the upper reaches of the Minjiang River, China. Environmental management 43(5), 899-907.
Lu D, Mausel P, Brondizio E, Moran E. 2004. Change detection techniques. International journal of remote sensing 25(12), 2365-2401.
Mahoney J, Asrar G, Leinen M, Andrews J, Glackin M, Groat C, Neale P. 2003. Strategic plan for the US climate change science program. Climate Change Science Program Office, Washington DC.
Manichander T. 2016. Emerging Trends in Digital Era Through Educational Technology: Lulu. com.
McMichael AJ, Powles JW, Butler CD, Uauy R. 2007. Food, livestock production, energy, climate change, and health. The lancet 370(9594), 1253-1263.
Meyer WB, Meyer WB, BL Turner I. 1994. Changes in land use and land cover: a global perspective (Vol. 4): Cambridge University Press.
Nabiebakye n. 2015. Managing land degradation for food security in the lawra district.
Nazir N, Ahmad S. 2018. Forest land conversion dynamics: a case of Pakistan. Environment, development and sustainability 20(1), 389-405.
Niyogi D, Mahmood R, Adegoke JO. 2009. Land-use/land-cover change and its impacts on weather and climate. Boundary Layer Meteorology 133(3), 297.
Pakistan I. 2004. Abbottabad—State of the Environment and Development. IUCN Pakistan and NWFP: Karachi, Pakistan. xii þ136 pp.
Palmer PI. 2018. The role of satellite observations in understanding the impact of El Niño on the carbon cycle: current capabilities and future opportunities. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1760), 20170407.
Pérez MGR, Laprise M, Rey E. 2018. Fostering sustainable urban renewal at the neighborhood scale with a spatial decision support system. Sustainable cities and society 38, 440-451.
Radwan TM, Blackburn GA, Whyatt JD, Atkinson PM. 2019. Dramatic Loss of Agricultural Land Due to Urban Expansion Threatens Food Security in the Nile Delta, Egypt. Remote Sensing 11(3), 332.
Raza A, Raja IA, Raza S. 2012. Land-use change analysis of district Abbottabad, Pakistan: Taking advantage of GIS and remote sensing analysis. Science Vision 18(1-2), 43-49.
Rounsevell M, Arneth A, Alexander P, Brown D, de Noblet-Ducoudré N, Ellis E, Harman I. 2014. Towards decision-based global land use models for improved understanding of the Earth system. Earth System Dynamics 5(1), 117-137.
Roy P, Roy A. 2012. Land use and land cover change in India: Aremote sensing & GIS prespective. Journal of the Indian Institute of Science 90(4), 489-502.
Saleh B, Al Rawashdeh S. 2007. Study of urban expansion in jordanian cities using GIS and remoth Sensing. International Journal of Applied Science and Engineering 5(1), 41-52.
Song XP, Hansen MC, Stehman SV, Potapov PV, Tyukavina A, Vermote EF, Townshend JR. 2018. Global land change from 1982 to 2016. Nature 560(7720), 639.
Tariq S, Ali M. 2017. Spatiotemporal patterns of correlation between atmospheric nitrogen dioxide and aerosols over South Asia. Meteorology and Atmospheric Physics 129(5), 507-527.
Teshome A, de Graaff J, Ritsema C, Kassie M. 2016. Farmers’ perceptions about the influence of land quality, land fragmentation and tenure systems on sustainable land management in the north western Ethiopian highlands. Land degradation & development 27(4), 884-898.
Tran DX, Pla F, Latorre-Carmona P, Myint SW, Caetano M, Kieu HV. 2017. Characterizing the relationship between land use land cover change and land surface temperature. ISPRS Journal of Photogrammetry and Remote Sensing 124, 119-132.
Turner MG, Gardner RH. 2015. Landscape Dynamics in a Rapidly Changing World Landscape Ecology in Theory and Practice (pp. 333-381): Springer.
Voinov A, Kolagani N, McCall MK, Glynn PD, Kragt ME, Ostermann FO, . . . Ramu P. 2016. Modelling with stakeholders–next generation. Environmental Modelling & Software 77, 196-220.
Zhang C, Sargent I, Pan X, Li H, Gardiner A, Hare J, Atkinson PM. 2019. Joint Deep Learning for land cover and land use classification. Remote sensing of environment 221, 173-187.
Zubair AO. 2006. Change Detection in Land Use and Cover using Remote Sensing Data and GIS: A case study of Ilorin and its environs in Kwara State. MSc thesis.
Muhammad Miandad, Sajjad Gondal, Aamna Aamir, Sher Muhammad Malik, Ghani Rahman, Humayun Ashraf, Umaya Zafar (2020), Spatio-temporal residential land-use changes in District Abbottabad from 1990 to 2018; JBES, V16, N2, February, P25-38
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