Application of Markov Chain Model and ArcGIS in Land Use Projection of Ala River Catchment, Akure, Nigeria
Increase land use change is one of the consequences of rapid population growth of cities in developing countries with its negative consequences on the environment. This study generates previous and present land use of Ala watershed and project the future land use using Markov chain model and ArcGIS...
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| Format: | Article |
| Language: | English |
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Faculty of Engineering and Technology
2021-06-01
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| Series: | Nigerian Journal of Technological Development |
| Subjects: | |
| Online Access: | https://journal.njtd.com.ng/index.php/njtd/article/view/606 |
| _version_ | 1818008864081051648 |
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| author | P. A. Adegbola J. R. Adewumi O. A. Obiora-Okeke |
| author_facet | P. A. Adegbola J. R. Adewumi O. A. Obiora-Okeke |
| author_sort | P. A. Adegbola |
| collection | DOAJ |
| description | Increase land use change is one of the consequences of rapid population growth of cities in developing countries with its negative consequences on the environment. This study generates previous and present land use of Ala watershed and project the future land use using Markov chain model and ArcGIS software (version 10.2.1). Landsat 7, Enhanced Thematic mapper plus (ETM+) image and Landsat 8 operational land imager (OLI) with path 190 and row 2 used to generate land use (LU) and land cover (LC) images for the years 2000, 2010 and 2019. Six LU/LC classes were considered as follows: developed area (DA), open soil (OS), grass surface (GS), light forest (LF), wetland (WL) and hard rock (HR). Markov chain analysis was used in predicting LU/LC types in the watershed for the years 2029 and 2039. The veracity of the model was tested with Nash Sutcliffe Efficiency index (NSE) and Percent Bias methods. The model results show that the study area is growing rapidly particularly in the recent time. This urban expansion results in significant decrease of WL coverage areas and the significant increase of DA. This implies reduction in the available land for dry season farming and incessant flood occurrence. |
| first_indexed | 2024-04-14T05:34:47Z |
| format | Article |
| id | doaj.art-6b168de263674258add4b01a4584a67d |
| institution | Directory Open Access Journal |
| issn | 2437-2110 |
| language | English |
| last_indexed | 2024-04-14T05:34:47Z |
| publishDate | 2021-06-01 |
| publisher | Faculty of Engineering and Technology |
| record_format | Article |
| series | Nigerian Journal of Technological Development |
| spelling | doaj.art-6b168de263674258add4b01a4584a67d2022-12-22T02:09:41ZengFaculty of Engineering and TechnologyNigerian Journal of Technological Development2437-21102021-06-011813038467Application of Markov Chain Model and ArcGIS in Land Use Projection of Ala River Catchment, Akure, NigeriaP. A. Adegbola0J. R. Adewumi1O. A. Obiora-Okeke2Department of Civil Engineering, Federal University of Technology, Akure, Ondo State.CVE DEPT FEDERAL UNIVERSITY OF T6ECHNOLOGY, AKUREDepartment of Civil Engineering, Federal University of Technology, Akure, Ondo State.Increase land use change is one of the consequences of rapid population growth of cities in developing countries with its negative consequences on the environment. This study generates previous and present land use of Ala watershed and project the future land use using Markov chain model and ArcGIS software (version 10.2.1). Landsat 7, Enhanced Thematic mapper plus (ETM+) image and Landsat 8 operational land imager (OLI) with path 190 and row 2 used to generate land use (LU) and land cover (LC) images for the years 2000, 2010 and 2019. Six LU/LC classes were considered as follows: developed area (DA), open soil (OS), grass surface (GS), light forest (LF), wetland (WL) and hard rock (HR). Markov chain analysis was used in predicting LU/LC types in the watershed for the years 2029 and 2039. The veracity of the model was tested with Nash Sutcliffe Efficiency index (NSE) and Percent Bias methods. The model results show that the study area is growing rapidly particularly in the recent time. This urban expansion results in significant decrease of WL coverage areas and the significant increase of DA. This implies reduction in the available land for dry season farming and incessant flood occurrence.https://journal.njtd.com.ng/index.php/njtd/article/view/606land coverland use changemarkov chainarcgiswatershedurbanization |
| spellingShingle | P. A. Adegbola J. R. Adewumi O. A. Obiora-Okeke Application of Markov Chain Model and ArcGIS in Land Use Projection of Ala River Catchment, Akure, Nigeria Nigerian Journal of Technological Development land cover land use change markov chain arcgis watershed urbanization |
| title | Application of Markov Chain Model and ArcGIS in Land Use Projection of Ala River Catchment, Akure, Nigeria |
| title_full | Application of Markov Chain Model and ArcGIS in Land Use Projection of Ala River Catchment, Akure, Nigeria |
| title_fullStr | Application of Markov Chain Model and ArcGIS in Land Use Projection of Ala River Catchment, Akure, Nigeria |
| title_full_unstemmed | Application of Markov Chain Model and ArcGIS in Land Use Projection of Ala River Catchment, Akure, Nigeria |
| title_short | Application of Markov Chain Model and ArcGIS in Land Use Projection of Ala River Catchment, Akure, Nigeria |
| title_sort | application of markov chain model and arcgis in land use projection of ala river catchment akure nigeria |
| topic | land cover land use change markov chain arcgis watershed urbanization |
| url | https://journal.njtd.com.ng/index.php/njtd/article/view/606 |
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