Assessment of vegetation dynamics using remote sensing and GIS: A case of Bosomtwe Range Forest Reserve, Ghana

Mensah, A A and Sarfo, D A and Partey, S T (2019) Assessment of vegetation dynamics using remote sensing and GIS: A case of Bosomtwe Range Forest Reserve, Ghana. The Egyptian Journal of Remote Sensing and Space Science (TSI), 22 (2). pp. 145-154. ISSN 11109823

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Abstract

Changing conditions owing to increasing forest fragmentation make land cover and change detection analysis an extremely important consideration for sustainable forest management. This study applied supervised classification using maximum-likelihood algorithm in Quantum GIS to detect land use land cover changes in the Bosomtwe Range Forest Reserve, Ghana from 1991, 2002 and 2017 using Landsat 4 – TM, Landsat 7 – ETM and Sentinel-2 satellite imageries respectively. Based on the results of the study, it is concluded that land use/cover of Bosomtwe Range Forest Reserve have undergone remarkable changes for over the period of 26 years. The current status of forest cover is estimated to be 2995.45 ± 401.86 ha and 2090.03 ± 412.78 ha of closed and opened forest canopy respectively. Conversely, built-up areas (1531.68 ± 487.13 ha) remains virtually high (20%) though it shows a decrease in comparison to the same area in 2002. The land use land cover change map clearly identified probable areas of forest depletion especially in the north eastern and western portions of the reserve. It is recommended that potential spatial drivers of change should be identified to generate suitable image for change modelling of the reserve, coupled with earmarking of degraded areas for reforestation projects to improve upon the forest cover.

Item Type:	Article
Divisions:	Research Program : West & Central Africa
CRP:	CGIAR Research Program on Water, Land and Ecosystems (WLE)
Uncontrolled Keywords:	Land use/cover change, Change detection, Supervised classification, Bosomtwe range, Bosomtwe Range Forest Reserve
Subjects:	Others > Ghana Others > GIS Techniques/Remote Sensing
Depositing User:	Mr Ramesh K
Date Deposited:	09 Sep 2019 05:47
Last Modified:	09 Sep 2019 05:47
URI:	http://oar.icrisat.org/id/eprint/11292
Official URL:	https://doi.org/10.1016/j.ejrs.2018.04.004
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	UNSPECIFIED
Links:	Google Scholar

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