Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria

Fakeye; Attah Motunrayo; Aitsebaomo; Francis Omokekhai; Osadebe; Charles Chuka; Lamidi; Risikat Bukola; Okonufua; Endurance Omamoke

doi:doi:10.11648/j.ajrs.20150303.11

Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria

Fakeye, Attah Motunrayo, Aitsebaomo, Francis Omokekhai, Osadebe, Charles Chuka, Lamidi, Risikat Bukola, Okonufua, Endurance Omamoke

Published in American Journal of Remote Sensing (Volume 3, Issue 3)

Received: 20 May 2015 Accepted: 7 June 2015 Published: 16 June 2015

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Abstract

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.

Published in	American Journal of Remote Sensing (Volume 3, Issue 3)
DOI	10.11648/j.ajrs.20150303.11
Page(s)	37-42
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Accuracy Assessment, Change Detection, Digital Modeling, GIS, Multi-Temporal, Remote Sensing

References

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APA Style

Fakeye, Attah Motunrayo, Aitsebaomo, Francis Omokekhai, Osadebe, et al. (2015). Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria. American Journal of Remote Sensing, 3(3), 37-42. https://doi.org/10.11648/j.ajrs.20150303.11

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ACS Style

Fakeye; Attah Motunrayo; Aitsebaomo; Francis Omokekhai; Osadebe, et al. Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria. Am. J. Remote Sens. 2015, 3(3), 37-42. doi: 10.11648/j.ajrs.20150303.11

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AMA Style

Fakeye, Attah Motunrayo, Aitsebaomo, Francis Omokekhai, Osadebe, et al. Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria. Am J Remote Sens. 2015;3(3):37-42. doi: 10.11648/j.ajrs.20150303.11

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@article{10.11648/j.ajrs.20150303.11,
  author = {Fakeye and Attah Motunrayo and Aitsebaomo and Francis Omokekhai and Osadebe and Charles Chuka and Lamidi and Risikat Bukola and Okonufua and Endurance Omamoke},
  title = {Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria},
  journal = {American Journal of Remote Sensing},
  volume = {3},
  number = {3},
  pages = {37-42},
  doi = {10.11648/j.ajrs.20150303.11},
  url = {https://doi.org/10.11648/j.ajrs.20150303.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20150303.11},
  abstract = {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.},
 year = {2015}
}

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TY  - JOUR
T1  - Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria
AU  - Fakeye
AU  - Attah Motunrayo
AU  - Aitsebaomo
AU  - Francis Omokekhai
AU  - Osadebe
AU  - Charles Chuka
AU  - Lamidi
AU  - Risikat Bukola
AU  - Okonufua
AU  - Endurance Omamoke
Y1  - 2015/06/16
PY  - 2015
N1  - https://doi.org/10.11648/j.ajrs.20150303.11
DO  - 10.11648/j.ajrs.20150303.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 37
EP  - 42
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20150303.11
AB  - 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.
VL  - 3
IS  - 3
ER  -

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Author Information

Fakeye
Attah Motunrayo
Aitsebaomo
Francis Omokekhai
Osadebe
Charles Chuka
Lamidi
Risikat Bukola
Okonufua
Endurance Omamoke

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Plain Text BibTeX RIS

APA Style

Fakeye, Attah Motunrayo, Aitsebaomo, Francis Omokekhai, Osadebe, et al. (2015). Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria. American Journal of Remote Sensing, 3(3), 37-42. https://doi.org/10.11648/j.ajrs.20150303.11

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ACS Style

Fakeye; Attah Motunrayo; Aitsebaomo; Francis Omokekhai; Osadebe, et al. Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria. Am. J. Remote Sens. 2015, 3(3), 37-42. doi: 10.11648/j.ajrs.20150303.11

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AMA Style

Fakeye, Attah Motunrayo, Aitsebaomo, Francis Omokekhai, Osadebe, et al. Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria. Am J Remote Sens. 2015;3(3):37-42. doi: 10.11648/j.ajrs.20150303.11

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@article{10.11648/j.ajrs.20150303.11,
  author = {Fakeye and Attah Motunrayo and Aitsebaomo and Francis Omokekhai and Osadebe and Charles Chuka and Lamidi and Risikat Bukola and Okonufua and Endurance Omamoke},
  title = {Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria},
  journal = {American Journal of Remote Sensing},
  volume = {3},
  number = {3},
  pages = {37-42},
  doi = {10.11648/j.ajrs.20150303.11},
  url = {https://doi.org/10.11648/j.ajrs.20150303.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20150303.11},
  abstract = {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.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria
AU  - Fakeye
AU  - Attah Motunrayo
AU  - Aitsebaomo
AU  - Francis Omokekhai
AU  - Osadebe
AU  - Charles Chuka
AU  - Lamidi
AU  - Risikat Bukola
AU  - Okonufua
AU  - Endurance Omamoke
Y1  - 2015/06/16
PY  - 2015
N1  - https://doi.org/10.11648/j.ajrs.20150303.11
DO  - 10.11648/j.ajrs.20150303.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 37
EP  - 42
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20150303.11
AB  - 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.
VL  - 3
IS  - 3
ER  -

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