PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Land use dynamics in rural-urban environs: a study of the Kumasi metropolis and its adjoining districts – Ghana

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Dynamika zmian użytkowania ziemi na granicy rolno-miejskiej: studium metropolii i okolic Kumasi – Ghana
Języki publikacji
EN
Abstrakty
EN
Land development and consumption have spun out of control in major cities in Ghana. Kumasi as the second main and fastest growing city with an annual population growth rate of 5.4% in Ghana is experiencing this phenomenon. Land use/cover change in rural–urban peripheral is foremost to these dynamic changes. This study is premised on remote sensing and GIS methods to explore urbanization in Kumasi rural–urban fringe. Satellite data (Landsat multi-temporal images and Disaster Monitoring Constellation-DMC) and GIS techniques were used to analyze and compute the land cover changes (amount, trend and location) that had transpired for the period of 1986 to 2011. This study assesses the nature, extent and impact of urban growth (compact and sprawl) on Kumasi and surrounding districts. The study showed that, forest loss is massive, agricultural activities in Kumasi is receding as the years go but intensifying in the fringe districts. Settlements are expanding in all directions at the expense of farmland but firstly along the roads.
Rocznik
Tom
Strony
67--85
Opis fizyczny
Bibliogr. 33 poz., mapy, rys., tab.
Twórcy
autor
  • Institute of Research Innovation and Development-IRID, Kumasi Polytechnic
  • Faculty of Forestry, Warsaw University of Life Science
autor
  • Institute of Research Innovation and Development-IRID, Kumasi Polytechnic
Bibliografia
  • AGUILAR A., WARD P., 2003. Globalization, Regional Development and Mega-city Expansion in Latin America: Analysing Mexico City’s Peri-urban Hinterland. Cities, 20 (1).
  • ANGEL S., PARENT J., CIVCO D.L., BLEI A., POTERE D., 2011. The Dimensions of Global Urban Expansion: Estimates and Projections for all Countries 2000-2050. Progress in Planning, 75(2), 53-107.
  • BHATTA B., 2010. Analysis of Urban Growth and Sprawl from Remote Sensing data. Springer Science & Business Media, p. 172.
  • COBBINAH P. B., AMOAKO C., 2012. Urban Sprawl and the Loss of Peri-Urban Land. International Journal of Social and Human Sciences, 6 (1), 388–397. Retrieved from http://www.researchgate.net/publication/232957200_Urban_Sprawl_and_the_Loss_of_Peri_Urban_Land_in_Kumasi_Ghana/file/d912f509af6f7c7ef5.pdf
  • CONGALTON R. G. 1994. Accuracy assessment of remotely sensed data: future needs and directions. Proceedings of Pecora 12 land information from space-based systems. Bethesda. ASPRS, p. 383–388.
  • FOODY G. M., 2010. Assessing the accuracy of land cover change with imperfect ground reference data. Remote Sensing of Environment, 114, p. 2271-2285.
  • GIRI C., PENGRA B., ZHU Z., SINGH A., TIESZEN L., 2007. Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973–2000. Estuarine, Coastal and Shelf Science, 73, p. 91–100.
  • GRIMM N. B., FAETH S. H., GOLUBIEWSKI N. E, 2008. Global change and the ecology of cities. Science; 319, p. 756. [PubMed: 18258902]
  • GSS, 2013. Population and Housing census. National analytical report. Ghana Statistical Service, Accra, Ghana. 43 pp.
  • JONES W. B., BACON M., HASTINGS D. A., 1981. The Lake Bosumtwi impact crater, Ghana. Geological Society of America Bulletin, 92(6), 342–349. doi:10.1130/0016-7606(1981)92
  • KORANTENG A., ZAWILA-NIEDZWIECKI, T., 2015. Satellite Based Monitoring of Deforestation Driven by Population Growth in West Africa. Journal of Environment Protection and Sustainable Development, 1(4), 211–224. Retrieved from http://www.aiscience.org/journal/jepsd.
  • KORANTENG A., ZAWIŁA-NIEDŹWIECKI T., 2014. Anthropogenic Pressure On Barekese And Owabi Headworks In Ashanti Region, Ghana. (in:) Management of Environmental Protection in Forests, Tuchola. Tom VIII (ISSN 2081-1438), 118–125. doi:10.5604/20811438.1158034
  • LILLESAND T. M., KIEFER R. W. CHIPMAN J.W., 2008. Remote Sensing and Image Interpretation, 6th edn. John Wiley and Sons, Inc., New York. ISBN 0470052457
  • LOREY D. E., 2003. Global Environmental Challenges of the Twenty-first Century: Resources, Consumption, and Sustainable Solutions. Rowman & Littlefield. Retrieved from https://books.google.com/books?hl=en&lr=&id=rptyOXsra-DoC&pgis=1
  • MAS J.F., 1999. Monitoring land-cover changes: a comparison of change detection techniques. Int. J. Remote Sens. 20 (1), 139–152.
  • MCKINSEY GLOBAL INSTITUTE, 2013. Reverse the Curse: Maximizing the Potential of Resource-driven Economies. Industry Report, London: McKinsey Global Institute.
  • MILLER J.R. G. T., 1998. Living in the Environment: Principles, Connections, and Solution, tenth edition; Wadsworth Publishing Company, USA, pp. 11.
  • OPOKU-DUAH S., DONOGHUE D. M. N., BURT T. P., 2008. Vegetation and drought mapping in West Africa using remote sensing: A Case Study. Online Journal Social Sciences Research, 2(6), p. 142–150.
  • PIETERSE E. A., 2008. City Futures: Confronting the Crisis of Urban Development. Cape Town. South Africa Zed Books; University of Cape Town Press.
  • PIMM S. L., RAVEN P., 2000. Biodiversity – Extinction by numbers. Nature 403, p. 843–845.
  • PIROTTE A., MADRE L. J., 2011. Determinants of Urban Sprawl in France: An Analysis using a Hierarchical Bayes Approach on Panel Data. Urban Studies, 48(13), p. 865–2886.
  • ROGAN J., CHEN D., 2004. Remote sensing technology for mapping and monitoring land-cover and land-use change. Progress in Planning, 61(4), p. 301–325. doi:10.1016/S0305-9006(03)00066-7.
  • SARZYNSKI A., GALSTER G., STACK L., 2014. Evolving United States metropolitan land use patterns. Urban Geography. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/02723638.2013.823730#.Vh-Tln7hB0g.
  • SETO K. C., GÜNERALP B., HUTYRA L. R., 2012. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences of the United States of America, 109(40), p. 16083–8. doi:10.1073/pnas.1211658109
  • SHALABY A., TATEISHI R. 2007. Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Applied Geography, 27(1), p. 28–41. doi:10.1016/j.apgeog.2006.09.004
  • SHANAHAN T. M., BECK J. W., OVERPECK J. T., MCKAY N. P., PIGATI J. S., PECK J. A., KING J., 2012. Late Quaternary sedimentological and climate changes at Lake Bosumtwi Ghana: New constraints from laminae analysis and radiocarbon age modeling. Palaeogeography, Palaeoclimatology, Palaeoecology, 361-362, p. 49–60. DOI:10.1016/J. PALAEO.2012.08.001
  • SIMON D., 2007. Urbanisation and Global Environmental Change: New Intergenerational Challenges. International Journal of Green Economics, 1(3): p. 299–306.
  • SINGH A., 1989. Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10, p. 989–1003.
  • SNEDECOR, G.W. & COCHRAN, W.G. (1989). Statistical methods. Iowa State University Press, Ames.
  • TEOTIA H. S., SANTOS D., 2010. Remote Sensing & Gis Based Land Cover , Soil & Land Capability Information For Resources Management In Semi-Arid Region of San Diiego. ASPRS Annual Conference,. p. 1–11.
  • THUO A. D. M., 2010. Human Geographies of Rural-urban Fringe: Social Dynamics of Land Development in the Nairobi Rural-urban Fringes. Unpublished PhD Thesis, The University of Waikato, Hamilton, New Zealand.
  • TURNER W., RONDININI C., PETTORELLI N., MORA B., LEIDNER A. K., SZANTOI Z., WOODCOCK C., 2015. Free and open-access satellite data are key to biodiversity conservation. Biological Conservation, 182, p. 173–176. doi:10.1016/j.biocon.2014.11.048
  • WILLIS K. S., 2015. Remote sensing change detection for ecological monitoring in United States protected areas. Biological Conservation, 182, p. 233–242. doi:10.1016/j.biocon.2014.12.006
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-76e7dadf-3ec5-4c81-9833-8107fca75806
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.