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Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria
American Journal of Remote Sensing
Volume 3, Issue 3, June 2015, Pages: 37-42
Received: May 20, 2015; Accepted: Jun. 7, 2015; Published: Jun. 16, 2015
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Fakeye, Attah Motunrayo, Road Research Department, Nigerian Building and Road Research Institute, Ota, Ogun State, Nigeria
Aitsebaomo, Francis Omokekhai, Road Research Department, Nigerian Building and Road Research Institute, Ota, Ogun State, Nigeria
Osadebe, Charles Chuka, Road Research Department, Nigerian Building and Road Research Institute, Ota, Ogun State, Nigeria
Lamidi, Risikat Bukola, Road Research Department, Nigerian Building and Road Research Institute, Ota, Ogun State, Nigeria
Okonufua, Endurance Omamoke, Road Research Department, Nigerian Building and Road Research Institute, Ota, Ogun State, Nigeria
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Landuse expansion, spatial and temporal variability of the area has been studied between 1986 and 2002 via statistical classification approaches based on the remotely sensed images obtained from Landsat Thematic Mapper (TM) and Extended Thematic Mapper (ETM+) sensors. Multi-temporal images, landuse/land cover changes were detected by means of remote sensing. From the result of supervised classification, the process of landuse/land cover changes and the model of expansion were analyzed by Geographic Information System (GIS) technologies. Seven cover classes were identified namely light vegetation, thick vegetation, swamp vegetation, settlement, sand dune, bare soil/erosional areas and water body. The confusion matrix showed a high overall classification accuracy of 77% and Ksat statistics of 71% for the classified map. Digital Elevation Model (DEM) of the area was created from digitized topographic contour lines at 1:50,000 scale. Additional information was derived from geologic and vegetation maps of the area to delineate spatial extent of landuse/land cover. Maps generated for these years were overlaid to obtain a change detection map showing the dynamic growth in land use changes for the two periods. Result also showed that during the study period from 1986 to 2002, the vegetation reduced from 47.7% to 14.4% in the study, more than double in 16 years, showing a strong trend of expansion of settlement as well as growth in baresoil area, perhaps due to sand mine or erosion. The research work shows that land use/land cover change detection using multi-temporal images by means of remote sensing and GIS modeling are good means of analyzing dynamic changes in time sequence.
Accuracy Assessment, Change Detection, Digital Modeling, GIS, Multi-Temporal, Remote Sensing
To cite this article
Fakeye, Attah Motunrayo, Aitsebaomo, Francis Omokekhai, Osadebe, Charles Chuka, Lamidi, Risikat Bukola, Okonufua, Endurance Omamoke, Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria, American Journal of Remote Sensing. Vol. 3, No. 3, 2015, pp. 37-42. doi: 10.11648/j.ajrs.20150303.11
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