Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques

Urban areas are rapidly expanding due to population growth and development, leading to deforestation and land degradation. This study employed remote sensing and GIS techniques to assess urban growth and its impact on deforestation in Bauchi metropolis, Nigeria within the last three decades (1986-20...

Full description

Saved in:
Bibliographic Details
Main Authors: Musa, S. I., Hashim, M., Reba, M. N. M.
Format: Article
Language:English
Published: Asian Research Publishing Network 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/75399/1/SulaimanIbrahimMusa_UrbanGrowthAssessmentandItsImpact.pdf
http://eprints.utm.my/id/eprint/75399/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016041577&partnerID=40&md5=2f744f9bb43e893d10c93981eb522bc8
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.75399
record_format eprints
spelling my.utm.753992018-03-22T11:07:07Z http://eprints.utm.my/id/eprint/75399/ Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques Musa, S. I. Hashim, M. Reba, M. N. M. G70.39-70.6 Remote sensing Urban areas are rapidly expanding due to population growth and development, leading to deforestation and land degradation. This study employed remote sensing and GIS techniques to assess urban growth and its impact on deforestation in Bauchi metropolis, Nigeria within the last three decades (1986-2016). The study made use of Land sat images of four epochs; Thematic Mapper (TM) of 1986 and 1996, Enhanced Thematic Mapper of 2006, and Operational Land Imager (OLI) of 2016. Color compositions were made after which the images were geometrically and radio metrically restituted. The images were classified using maximum likelihood algorithm and the accuracy of the classification was assessed by cross-validation using confusion matrices and ground truthing by the use of a hand-held Global Positioning System (GPS). The classified images with their kappa indexes were TM of 1986 (0.83%) and 1996 (0.87%), ETM+ of 2006 (0.90%) and OLI of 2016 (0.92%), respectively. Post-classification comparisons and analyses were performed and the results revealed that changes have taken place in bare surface (+32.43%), built-up area (+565.24%), farm land (+66.42%), forest (-91.80%) and rock outcrop (-49.21%) in the metropolis between 1986 and 2016. The land cover features of the metropolis were reclassified into forest and non-forest for cross-tabulation analysis and the result of the analysis indicates a change-over of 14965.97Ha (39.68%) form forest to non-forest (deforestation) and that of 467.69Ha (1.24%) form non-forest to forest (afforestation) between 1986 and 2016. This shows a rapid increase in built-up area (urban growth) and rapid decrease in forest (deforestation), which may be attributed to lack of improper environmental protection strategy in place in the metropolis. The study demonstrates the potentialities of remote sensing and GIS in assessing urban growth and its impacts on deforestation. The outcome of the study can serve as input into a relationship model for predicting the impact of urban growth on deforestation. Asian Research Publishing Network 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/75399/1/SulaimanIbrahimMusa_UrbanGrowthAssessmentandItsImpact.pdf Musa, S. I. and Hashim, M. and Reba, M. N. M. (2017) Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques. ARPN Journal of Engineering and Applied Sciences, 12 (6). pp. 1907-1914. ISSN 1819-6608 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016041577&partnerID=40&md5=2f744f9bb43e893d10c93981eb522bc8
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Musa, S. I.
Hashim, M.
Reba, M. N. M.
Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques
description Urban areas are rapidly expanding due to population growth and development, leading to deforestation and land degradation. This study employed remote sensing and GIS techniques to assess urban growth and its impact on deforestation in Bauchi metropolis, Nigeria within the last three decades (1986-2016). The study made use of Land sat images of four epochs; Thematic Mapper (TM) of 1986 and 1996, Enhanced Thematic Mapper of 2006, and Operational Land Imager (OLI) of 2016. Color compositions were made after which the images were geometrically and radio metrically restituted. The images were classified using maximum likelihood algorithm and the accuracy of the classification was assessed by cross-validation using confusion matrices and ground truthing by the use of a hand-held Global Positioning System (GPS). The classified images with their kappa indexes were TM of 1986 (0.83%) and 1996 (0.87%), ETM+ of 2006 (0.90%) and OLI of 2016 (0.92%), respectively. Post-classification comparisons and analyses were performed and the results revealed that changes have taken place in bare surface (+32.43%), built-up area (+565.24%), farm land (+66.42%), forest (-91.80%) and rock outcrop (-49.21%) in the metropolis between 1986 and 2016. The land cover features of the metropolis were reclassified into forest and non-forest for cross-tabulation analysis and the result of the analysis indicates a change-over of 14965.97Ha (39.68%) form forest to non-forest (deforestation) and that of 467.69Ha (1.24%) form non-forest to forest (afforestation) between 1986 and 2016. This shows a rapid increase in built-up area (urban growth) and rapid decrease in forest (deforestation), which may be attributed to lack of improper environmental protection strategy in place in the metropolis. The study demonstrates the potentialities of remote sensing and GIS in assessing urban growth and its impacts on deforestation. The outcome of the study can serve as input into a relationship model for predicting the impact of urban growth on deforestation.
format Article
author Musa, S. I.
Hashim, M.
Reba, M. N. M.
author_facet Musa, S. I.
Hashim, M.
Reba, M. N. M.
author_sort Musa, S. I.
title Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques
title_short Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques
title_full Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques
title_fullStr Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques
title_full_unstemmed Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques
title_sort urban growth assessment and its impact on deforestation in bauchi metropolis, nigeria using remote sensing and gis techniques
publisher Asian Research Publishing Network
publishDate 2017
url http://eprints.utm.my/id/eprint/75399/1/SulaimanIbrahimMusa_UrbanGrowthAssessmentandItsImpact.pdf
http://eprints.utm.my/id/eprint/75399/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016041577&partnerID=40&md5=2f744f9bb43e893d10c93981eb522bc8
_version_ 1643657052899246080
score 13.211869