Spatio-Temporal Urban Expansion Analysıs in a Growing City of Oyo Town ,Oyo State, Nigeria Using Remote Sensing And Geographic Information System (GIS) Tools
The assessment of the land use / land cover expansion that occurred in the area over a period of thirty years is the utmost priority of this research work. Multi temporal Landsat satellite imageries TM 1984, 1990 and ETM+ 2002, 2014 from the United States Geological Survey (USGS) website were used...
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| Format: | Article |
| Language: | English |
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IJEGEO
2018-08-01
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| Series: | International Journal of Environment and Geoinformatics |
| Subjects: | |
| Online Access: | http://dergipark.gov.tr/download/article-file/504691 |
| _version_ | 1797913731746758656 |
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| author | Jimoh Rafiu.A Afonja Yusuf .O Albert Christopher.O Amoo . N.B. |
| author_facet | Jimoh Rafiu.A Afonja Yusuf .O Albert Christopher.O Amoo . N.B. |
| author_sort | Jimoh Rafiu.A |
| collection | DOAJ |
| description | The assessment of the land use / land cover expansion that occurred in the area over a period of thirty years is
the utmost priority of this research work. Multi temporal Landsat satellite imageries TM 1984, 1990 and ETM+
2002, 2014 from the United States Geological Survey (USGS) website were used as the primary dataset. Area
of interest was clipped in ArcGIS 9.3 environment, image enhancement and image classification were
adequately done using ENVI 4.5 remote sensing software. Using supervised classification algorithm, the
images were classified into bare soil, built-up area, vegetation, water body and wetland; these were then used to
carry out change detection analysis or time series analysis. Results obtained from the analysis of built-up area
dynamics for the past three decades revealed that the town has been undergoing urban expansion processes.
The expansion was prolonged both from urban center to adjoining non-built-up areas in all directions. The total
built up area in the town has expanded from 28.04sq/km in 1984 to 49.51 sq/km in 2014 at an average
expansion rate of 0.7, 0.4 and 0.9 per annum during 1984 – 1990, 1990 – 2002 and 2002 – 2014 study periods
respectively. The study period from 2002 – 2014 was the time at which the town experienced the highest urban
expansion. The analysis of spatial trend revealed that the urban landscape has experienced a process of
sprawling and fragmented development pattern particularly in the fringe areas while the town center underwent
infill and edge expansion development processes. The fringe areas show scattered expansion pattern.
Quantifying urban expansion patterns and development processes of the past trends can help better understand
the dynamics of built up area and guide sustainable urban development planning of the future urban growth. |
| first_indexed | 2024-04-10T12:16:20Z |
| format | Article |
| id | doaj.art-0392d6f83562459fa831a39f08b11f14 |
| institution | Directory Open Access Journal |
| issn | 2148-9173 2148-9173 |
| language | English |
| last_indexed | 2024-04-10T12:16:20Z |
| publishDate | 2018-08-01 |
| publisher | IJEGEO |
| record_format | Article |
| series | International Journal of Environment and Geoinformatics |
| spelling | doaj.art-0392d6f83562459fa831a39f08b11f142023-02-15T16:15:45ZengIJEGEOInternational Journal of Environment and Geoinformatics2148-91732148-91732018-08-015210411310.30897/ijegeo.354627Spatio-Temporal Urban Expansion Analysıs in a Growing City of Oyo Town ,Oyo State, Nigeria Using Remote Sensing And Geographic Information System (GIS) ToolsJimoh Rafiu.A0Afonja Yusuf .O1Albert Christopher.O2Amoo . N.B.3Geomodeling and Geoexplore Consultants Limited, P.O. Box 302, Ikorodu, LagosState, Nigeria.Department of Surveying and Geoinformatics, Federal School of Surveying, P.M.B 1024, Oyo, Oyo State, NigeriaCopine,National Space Research and Development Agency(NASRDA),Federal Ministry of Science and Technology,P.M.B 022,Ile Ife, Osun State, NigeriaDepartment of Surveying and Geoinformatics, Federal Polytechnic Ede, P.M.B 231, Ede, Osun State, NigeriaThe assessment of the land use / land cover expansion that occurred in the area over a period of thirty years is the utmost priority of this research work. Multi temporal Landsat satellite imageries TM 1984, 1990 and ETM+ 2002, 2014 from the United States Geological Survey (USGS) website were used as the primary dataset. Area of interest was clipped in ArcGIS 9.3 environment, image enhancement and image classification were adequately done using ENVI 4.5 remote sensing software. Using supervised classification algorithm, the images were classified into bare soil, built-up area, vegetation, water body and wetland; these were then used to carry out change detection analysis or time series analysis. Results obtained from the analysis of built-up area dynamics for the past three decades revealed that the town has been undergoing urban expansion processes. The expansion was prolonged both from urban center to adjoining non-built-up areas in all directions. The total built up area in the town has expanded from 28.04sq/km in 1984 to 49.51 sq/km in 2014 at an average expansion rate of 0.7, 0.4 and 0.9 per annum during 1984 – 1990, 1990 – 2002 and 2002 – 2014 study periods respectively. The study period from 2002 – 2014 was the time at which the town experienced the highest urban expansion. The analysis of spatial trend revealed that the urban landscape has experienced a process of sprawling and fragmented development pattern particularly in the fringe areas while the town center underwent infill and edge expansion development processes. The fringe areas show scattered expansion pattern. Quantifying urban expansion patterns and development processes of the past trends can help better understand the dynamics of built up area and guide sustainable urban development planning of the future urban growth.http://dergipark.gov.tr/download/article-file/504691Multi temporal Landsat satellite imageriessupervised classification algorithmChange detection analysesRemote SensingGIS |
| spellingShingle | Jimoh Rafiu.A Afonja Yusuf .O Albert Christopher.O Amoo . N.B. Spatio-Temporal Urban Expansion Analysıs in a Growing City of Oyo Town ,Oyo State, Nigeria Using Remote Sensing And Geographic Information System (GIS) Tools International Journal of Environment and Geoinformatics Multi temporal Landsat satellite imageries supervised classification algorithm Change detection analyses Remote Sensing GIS |
| title | Spatio-Temporal Urban Expansion Analysıs in a Growing City of Oyo Town ,Oyo State, Nigeria Using Remote Sensing And Geographic Information System (GIS) Tools |
| title_full | Spatio-Temporal Urban Expansion Analysıs in a Growing City of Oyo Town ,Oyo State, Nigeria Using Remote Sensing And Geographic Information System (GIS) Tools |
| title_fullStr | Spatio-Temporal Urban Expansion Analysıs in a Growing City of Oyo Town ,Oyo State, Nigeria Using Remote Sensing And Geographic Information System (GIS) Tools |
| title_full_unstemmed | Spatio-Temporal Urban Expansion Analysıs in a Growing City of Oyo Town ,Oyo State, Nigeria Using Remote Sensing And Geographic Information System (GIS) Tools |
| title_short | Spatio-Temporal Urban Expansion Analysıs in a Growing City of Oyo Town ,Oyo State, Nigeria Using Remote Sensing And Geographic Information System (GIS) Tools |
| title_sort | spatio temporal urban expansion analysis in a growing city of oyo town oyo state nigeria using remote sensing and geographic information system gis tools |
| topic | Multi temporal Landsat satellite imageries supervised classification algorithm Change detection analyses Remote Sensing GIS |
| url | http://dergipark.gov.tr/download/article-file/504691 |
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