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

OAR@ICRISAT

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Relation http://oar.icrisat.org/11292/
https://doi.org/10.1016/j.ejrs.2018.04.004
10.1016/j.ejrs.2018.04.004
 
Title Assessment of vegetation dynamics using remote sensing and GIS: A case of Bosomtwe Range Forest Reserve, Ghana
 
Creator Mensah, A A
Sarfo, D A
Partey, S T
 
Subject Ghana
GIS Techniques/Remote Sensing
 
Description 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.
 
Publisher Elsevier
 
Date 2019-08
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://oar.icrisat.org/11292/1/1-s2.0-S1110982317301941-main.pdf
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