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Vol.1 , No. 1, Publication Date: Jan. 31, 2018, Page: 1-9
. Spatio-temporal analysis of urban land cover growth changes in a GIS environment involves processes which use spatial data collected over a period of time to envisage the extent of urban growth in an area. Remote sensing and GIS provides an easy environment that could complement the available tools for urban planning and environmental management in Akure Metropolis. Handheld GPS Map 76x was used in obtaining the data used for ground truthing. The images were processed (supervised classification) using ArcGIS 10.2.1 and land cover maps for each study year were produced. The result of the analysis in table 7 shows that urban area steadily increased from 4.8% in 1986 to 9.5% in 2000 and 17.3% in 2015 while vegetation (including forests and scrubs) decreased in an uncontrolled manner from 79.4% in 1986 to 60.5% in 2000 and 51.7%. The study recommended that spatio-temporal analysis of urban land cover growth dynamics should be carried out to progressively study the rate and pattern of growth.&picture=http://www.aascit.org/aascit/decorators/img/journal/810.jpg)
| [1] | Tata Herbert, Department of Surveying and Geoinformatics, School of Environmental Technology, Federal University of Technology Akure, Nigeria. |
| [2] | Nzelibe Ifechukwu Ugochukwu, Department of Surveying and Geoinformatics, School of Environmental Technology, Federal University of Technology Akure, Nigeria. |
| [3] | Ajayi Gabriel Esan, Department of Surveying and Geoinformatics, School of Environmental Technology, Federal University of Technology Akure, Nigeria. |
This study focuses on the spatio-temporal analysis of urban land cover growth dynamics in Akure south Metropolis using medium resolution multi-temporal images (Landsat MSS1986, TM2000 and ETM2015). Spatio-temporal analysis of urban land cover growth changes in a GIS environment involves processes which use spatial data collected over a period of time to envisage the extent of urban growth in an area. Remote sensing and GIS provides an easy environment that could complement the available tools for urban planning and environmental management in Akure Metropolis. Handheld GPS Map 76x was used in obtaining the data used for ground truthing. The images were processed (supervised classification) using ArcGIS 10.2.1 and land cover maps for each study year were produced. The result of the analysis in table 7 shows that urban area steadily increased from 4.8% in 1986 to 9.5% in 2000 and 17.3% in 2015 while vegetation (including forests and scrubs) decreased in an uncontrolled manner from 79.4% in 1986 to 60.5% in 2000 and 51.7%. The study recommended that spatio-temporal analysis of urban land cover growth dynamics should be carried out to progressively study the rate and pattern of growth.
Keywords
Spatio-Temporal Analysis, Land Cover Growth Dynamics, Landsat, Supervise Classification, GPS, Remote Sensing/GIS
Reference
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