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Geosciences 2017, 7(4), 125; doi:10.3390/geosciences7040125

Geospatial Analysis of Land Use and Land Cover Transitions from 1986–2014 in a Peri-Urban Ghana

1
Department of Geography and Rural Development, Kwame Nkrumah University of Science and Technology, Kumasi 00233, Ghana
2
Department of Geomatic Engineering, College of Engineering, Kwame Nkrumah University of Science and Technology, Kumasi 00233, Ghana
3
Faculty of Built Environment, Kwame Nkrumah University of Science and Technology, Kumasi 00233, Ghana
4
Department of Environmental Science and Engineering, Hohai University, Nanjing 210098, China
*
Author to whom correspondence should be addressed.
Received: 20 September 2017 / Revised: 21 November 2017 / Accepted: 27 November 2017 / Published: 1 December 2017
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Abstract

Recently, peri-urbanisation has led to the transformation of the rural landscape, changing rural land uses into peri-urban land uses, under varying driving factors. This paper analyzes the dynamic transitions among identified land use and land cover (LULC) types in the Bosomtwe district of Ghana, from 1986 to 2014. An integrated approach of geo-information tools of satellite remote sensing in Earth Resource Data Analysis System (ERDAS) Imagine 13 and ArcMap 10.2 Geographic Information System (GIS), with Markov chain analytical techniques were used to examine the combined forest land cover transitions, relative to build-up, recent fallows and grasslands and projected possible factors influencing the transitions under business as usual and unusual situations. Statistical analyses of the classified Landsat TM, ETM+ and Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIS) indicated that over the period of 24 years, the Bosomtwe district has undergone a series of land use conversions with remarkable forest losses especially between 2002 and 2010. In 2010 dense forest cover was degraded to low forest by 4040 ha indicating 0.40% transition probability in the future. There was a remarkable increase of built-up/bare and concrete area with a 380% increment in the 1986–2002 transition periods. The application of the Markov futuristic land use dynamics by the years 2018 and 2028, projected from the 2014 LULC indicated a future steady decline in the area coverage of the dense forest to low forest category. This is currently being driven (as at the 2017 LULC trends), by the combined effects of increasing build up bare and concrete surface land uses as well as the expanding recent fallows and grassland. The paper concluded that the health of the ecosystem and biodiversity of the lake Bosomtwe need to be sustainably managed by the Bosomtwe district assembly. View Full-Text
Keywords: land use land cover; transitions; conversion probability; Markov analysis; Bosomtwe; Ghana land use land cover; transitions; conversion probability; Markov analysis; Bosomtwe; Ghana
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Appiah, D.O.; Forkuo, E.K.; Bugri, J.T.; Apreku, T.O. Geospatial Analysis of Land Use and Land Cover Transitions from 1986–2014 in a Peri-Urban Ghana. Geosciences 2017, 7, 125.

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