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

Appiah Mensah, Alex and Sarfo, Daniel Akoto and Partey, Samuel Tetteh (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 sciences. 22 , 145-154
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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. (C) 2018 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V.

Authors/Creators:Appiah Mensah, Alex and Sarfo, Daniel Akoto and Partey, Samuel Tetteh
Title:Assessment of vegetation dynamics using remote sensing and GIS: A case of Bosomtwe Range Forest Reserve, Ghana
Year of publishing :2019
Volume:22
Page range:145-154
Number of Pages:10
Publisher:Elsevier
ISSN:1110-9823
Language:English
Publication Type:Journal article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
Keywords:Land use/cover change, Change detection, Supervised classification, Bosomtwe range
URN:NBN:urn:nbn:se:slu:epsilon-p-105503
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-105503
Additional ID:
Type of IDID
DOI10.1016/j.ejrs.2018.04.004
Web of Science (WoS)000481633000003
ID Code:16981
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:03 Jun 2020 07:24
Metadata Last Modified:03 Jun 2020 07:24

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