An Integrated Remote Sensing and GIS Approach in Monitoring Spatial Expansion of Federal University of Technology Akure Nigeria

An Integrated Remote Sensing and GIS Approach in Monitoring Spatial Expansion of Federal University of Technology Akure Nigeria

Sharafdeen Bolaji Olatunji

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Dr. Michael Ajide Oyinloye

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Olisa Babatope Sunday

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An Integrated Remote Sensing and GIS Approach in Monitoring Spatial Expansion of Federal University of Technology Akure Nigeria

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Abstract

In this study, a maximum likelihood supervised classification and post -classification change detection techniques were applied to Land Sat images acquired in 1986, 2002 and 2012 respectively to map Federal University of Technology (FUTA), Akure changes in Ondo state, Nigeria. The study employed surpervised digital image classification method using ILWIS 3.2, Arcview 3.1 GIS software and classified the Landuse into Built-up Area, Bareland, Dense forest, Exposed soils, Gallery Forest, Light Forest, Forest Reserve and Rock out crops. The results obtained shows that the Built-up area has been growing rapidly for the periods . The result also shows increase in the Bareland and Rock-outcrop between 2002 and 2012 while dense forest, forest reserves, Gallery forest and light forest decreased rapidly for the period . Adopting exponential growth formulae, the rate of change for projecting spatial expansion and landuse types and project the growth and landuse of Federal University of Technology (FUTA), Akure to year 2032. These results could help the city planners and policy makers to attain and sustain future urban and institutional development.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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How to Cite This Article

Sharafdeen Bolaji Olatunji. 2014. \u201cAn Integrated Remote Sensing and GIS Approach in Monitoring Spatial Expansion of Federal University of Technology Akure Nigeria\u201d. Global Journal of Science Frontier Research - E: Marine Science GJSFR-E Volume 14 (GJSFR Volume 14 Issue E1).

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

Change detection exponential growth futa GIS landcover Remote Sensing

Submission ReceivedDecember 28, 2013
Peer Review Double Blind
Handling Editor
Accepted January 19, 2014
Published February 3, 2014

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v1.2

Issue date

April 22, 2014

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Article Matrices

Total Score: 107

Country: Nigeria

Subject: Global Journal of Science Frontier Research - E: Marine Science

Authors: Dr. Michael Ajide Oyinloye, Olisa Babatope Sunday (PhD/Dr. count: 1)

View Count (all-time): 172

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Publish Date: 2014 04, Tue

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Total Views: 4609

Total Downloads: 2275

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