Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS)

Okore Okay Okorafor; Christopher Oluwakunmi Akinbile; Adebayo Jonathan Adeyemo

doi:doi:10.11648/j.ajese.20170104.12

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Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS)

Okore Okay Okorafor, Christopher Oluwakunmi Akinbile, Adebayo Jonathan Adeyemo

Published in American Journal of Environmental Science and Engineering (Volume 1, Issue 4)

Received: 19 June 2017 Accepted: 3 July 2017 Published: 1 August 2017

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Abstract

Human interference through various activities such as road construction, mineral exploration, lumbering, excavation and rural-urban migration has placed a high demand on the availability of land for agriculture and exposed croplands to extensive degradation and erosion. This study therefore aims at determining the cover-crop management factor (C) for selected sites in Imo State representing different soil groups by the use of remote sensing (RS) and geographical information system (GIS) tools. Satellite Images of the study area were analyzed using ArcGIS 10.1 software on a raster distribution array to generate maps for normalized differential vegetative index (NDVI), Land use land cover (LULC) and crop-cover management factor (C). From the maps generated for NDVI values for the sites were between -0.1035-0.386 and the C-factor values were between 0.33-1.34, thus placing the study area within a region of medium vegetative cover. The location with the lowest NDVI was Okigwe while the highest NDVI value was observed in Ohaji. Though the area lies within the tropical rainforest zone, the vegetation is unevenly distributed thereby creating an enabling environment for soil detachment and sediment transport through runoff from heavy downpours resulting from absence of soil surface resistance. The C-factor values obtained therefore encourages tree planting exercises, forest regeneration activities, shrub development and balanced vegetation maintenance so as to create limited soil surface to encourage soil erodibility and runoff so as to allow agricultural activities which will guarantee food security and sustainable environmental management.

Published in	American Journal of Environmental Science and Engineering (Volume 1, Issue 4)
DOI	10.11648/j.ajese.20170104.12
Page(s)	110-116
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), 2017. Published by Science Publishing Group

Keywords

C-Factor, NDVI, Soils, Soil Erosion, RS, GIS

References

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APA Style

Okore Okay Okorafor, Christopher Oluwakunmi Akinbile, Adebayo Jonathan Adeyemo. (2017). Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS). American Journal of Environmental Science and Engineering, 1(4), 110-116. https://doi.org/10.11648/j.ajese.20170104.12

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ACS Style

Okore Okay Okorafor; Christopher Oluwakunmi Akinbile; Adebayo Jonathan Adeyemo. Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS). Am. J. Environ. Sci. Eng. 2017, 1(4), 110-116. doi: 10.11648/j.ajese.20170104.12

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AMA Style

Okore Okay Okorafor, Christopher Oluwakunmi Akinbile, Adebayo Jonathan Adeyemo. Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS). Am J Environ Sci Eng. 2017;1(4):110-116. doi: 10.11648/j.ajese.20170104.12

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@article{10.11648/j.ajese.20170104.12,
  author = {Okore Okay Okorafor and Christopher Oluwakunmi Akinbile and Adebayo Jonathan Adeyemo},
  title = {Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS)},
  journal = {American Journal of Environmental Science and Engineering},
  volume = {1},
  number = {4},
  pages = {110-116},
  doi = {10.11648/j.ajese.20170104.12},
  url = {https://doi.org/10.11648/j.ajese.20170104.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajese.20170104.12},
  abstract = {Human interference through various activities such as road construction, mineral exploration, lumbering, excavation and rural-urban migration has placed a high demand on the availability of land for agriculture and exposed croplands to extensive degradation and erosion. This study therefore aims at determining the cover-crop management factor (C) for selected sites in Imo State representing different soil groups by the use of remote sensing (RS) and geographical information system (GIS) tools. Satellite Images of the study area were analyzed using ArcGIS 10.1 software on a raster distribution array to generate maps for normalized differential vegetative index (NDVI), Land use land cover (LULC) and crop-cover management factor (C). From the maps generated for NDVI values for the sites were between -0.1035-0.386 and the C-factor values were between 0.33-1.34, thus placing the study area within a region of medium vegetative cover. The location with the lowest NDVI was Okigwe while the highest NDVI value was observed in Ohaji. Though the area lies within the tropical rainforest zone, the vegetation is unevenly distributed thereby creating an enabling environment for soil detachment and sediment transport through runoff from heavy downpours resulting from absence of soil surface resistance. The C-factor values obtained therefore encourages tree planting exercises, forest regeneration activities, shrub development and balanced vegetation maintenance so as to create limited soil surface to encourage soil erodibility and runoff so as to allow agricultural activities which will guarantee food security and sustainable environmental management.},
 year = {2017}
}

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TY  - JOUR
T1  - Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS)
AU  - Okore Okay Okorafor
AU  - Christopher Oluwakunmi Akinbile
AU  - Adebayo Jonathan Adeyemo
Y1  - 2017/08/01
PY  - 2017
N1  - https://doi.org/10.11648/j.ajese.20170104.12
DO  - 10.11648/j.ajese.20170104.12
T2  - American Journal of Environmental Science and Engineering
JF  - American Journal of Environmental Science and Engineering
JO  - American Journal of Environmental Science and Engineering
SP  - 110
EP  - 116
PB  - Science Publishing Group
SN  - 2578-7993
UR  - https://doi.org/10.11648/j.ajese.20170104.12
AB  - Human interference through various activities such as road construction, mineral exploration, lumbering, excavation and rural-urban migration has placed a high demand on the availability of land for agriculture and exposed croplands to extensive degradation and erosion. This study therefore aims at determining the cover-crop management factor (C) for selected sites in Imo State representing different soil groups by the use of remote sensing (RS) and geographical information system (GIS) tools. Satellite Images of the study area were analyzed using ArcGIS 10.1 software on a raster distribution array to generate maps for normalized differential vegetative index (NDVI), Land use land cover (LULC) and crop-cover management factor (C). From the maps generated for NDVI values for the sites were between -0.1035-0.386 and the C-factor values were between 0.33-1.34, thus placing the study area within a region of medium vegetative cover. The location with the lowest NDVI was Okigwe while the highest NDVI value was observed in Ohaji. Though the area lies within the tropical rainforest zone, the vegetation is unevenly distributed thereby creating an enabling environment for soil detachment and sediment transport through runoff from heavy downpours resulting from absence of soil surface resistance. The C-factor values obtained therefore encourages tree planting exercises, forest regeneration activities, shrub development and balanced vegetation maintenance so as to create limited soil surface to encourage soil erodibility and runoff so as to allow agricultural activities which will guarantee food security and sustainable environmental management.
VL  - 1
IS  - 4
ER  -

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Author Information

Okore Okay Okorafor

Department of Agricultural and Environmental Engineering, Faculty of Engineering and Engineering Technology, Federal University of Technology, Akure, Nigeria
Christopher Oluwakunmi Akinbile

Department of Agricultural and Environmental Engineering, Faculty of Engineering and Engineering Technology, Federal University of Technology, Akure, Nigeria
Adebayo Jonathan Adeyemo

Department of Crop Storage and Pest Management, Faculty of Agriculture and Agricultural Technology, Federal University of Technology, Akure, Nigeria

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Okore Okay Okorafor, Christopher Oluwakunmi Akinbile, Adebayo Jonathan Adeyemo. (2017). Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS). American Journal of Environmental Science and Engineering, 1(4), 110-116. https://doi.org/10.11648/j.ajese.20170104.12

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ACS Style

Okore Okay Okorafor; Christopher Oluwakunmi Akinbile; Adebayo Jonathan Adeyemo. Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS). Am. J. Environ. Sci. Eng. 2017, 1(4), 110-116. doi: 10.11648/j.ajese.20170104.12

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AMA Style

Okore Okay Okorafor, Christopher Oluwakunmi Akinbile, Adebayo Jonathan Adeyemo. Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS). Am J Environ Sci Eng. 2017;1(4):110-116. doi: 10.11648/j.ajese.20170104.12

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@article{10.11648/j.ajese.20170104.12,
  author = {Okore Okay Okorafor and Christopher Oluwakunmi Akinbile and Adebayo Jonathan Adeyemo},
  title = {Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS)},
  journal = {American Journal of Environmental Science and Engineering},
  volume = {1},
  number = {4},
  pages = {110-116},
  doi = {10.11648/j.ajese.20170104.12},
  url = {https://doi.org/10.11648/j.ajese.20170104.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajese.20170104.12},
  abstract = {Human interference through various activities such as road construction, mineral exploration, lumbering, excavation and rural-urban migration has placed a high demand on the availability of land for agriculture and exposed croplands to extensive degradation and erosion. This study therefore aims at determining the cover-crop management factor (C) for selected sites in Imo State representing different soil groups by the use of remote sensing (RS) and geographical information system (GIS) tools. Satellite Images of the study area were analyzed using ArcGIS 10.1 software on a raster distribution array to generate maps for normalized differential vegetative index (NDVI), Land use land cover (LULC) and crop-cover management factor (C). From the maps generated for NDVI values for the sites were between -0.1035-0.386 and the C-factor values were between 0.33-1.34, thus placing the study area within a region of medium vegetative cover. The location with the lowest NDVI was Okigwe while the highest NDVI value was observed in Ohaji. Though the area lies within the tropical rainforest zone, the vegetation is unevenly distributed thereby creating an enabling environment for soil detachment and sediment transport through runoff from heavy downpours resulting from absence of soil surface resistance. The C-factor values obtained therefore encourages tree planting exercises, forest regeneration activities, shrub development and balanced vegetation maintenance so as to create limited soil surface to encourage soil erodibility and runoff so as to allow agricultural activities which will guarantee food security and sustainable environmental management.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Determination of Cover-Crop Management Factor (C) for Selected Sites in Imo State Using Remote Sensing Technique and (GIS)
AU  - Okore Okay Okorafor
AU  - Christopher Oluwakunmi Akinbile
AU  - Adebayo Jonathan Adeyemo
Y1  - 2017/08/01
PY  - 2017
N1  - https://doi.org/10.11648/j.ajese.20170104.12
DO  - 10.11648/j.ajese.20170104.12
T2  - American Journal of Environmental Science and Engineering
JF  - American Journal of Environmental Science and Engineering
JO  - American Journal of Environmental Science and Engineering
SP  - 110
EP  - 116
PB  - Science Publishing Group
SN  - 2578-7993
UR  - https://doi.org/10.11648/j.ajese.20170104.12
AB  - Human interference through various activities such as road construction, mineral exploration, lumbering, excavation and rural-urban migration has placed a high demand on the availability of land for agriculture and exposed croplands to extensive degradation and erosion. This study therefore aims at determining the cover-crop management factor (C) for selected sites in Imo State representing different soil groups by the use of remote sensing (RS) and geographical information system (GIS) tools. Satellite Images of the study area were analyzed using ArcGIS 10.1 software on a raster distribution array to generate maps for normalized differential vegetative index (NDVI), Land use land cover (LULC) and crop-cover management factor (C). From the maps generated for NDVI values for the sites were between -0.1035-0.386 and the C-factor values were between 0.33-1.34, thus placing the study area within a region of medium vegetative cover. The location with the lowest NDVI was Okigwe while the highest NDVI value was observed in Ohaji. Though the area lies within the tropical rainforest zone, the vegetation is unevenly distributed thereby creating an enabling environment for soil detachment and sediment transport through runoff from heavy downpours resulting from absence of soil surface resistance. The C-factor values obtained therefore encourages tree planting exercises, forest regeneration activities, shrub development and balanced vegetation maintenance so as to create limited soil surface to encourage soil erodibility and runoff so as to allow agricultural activities which will guarantee food security and sustainable environmental management.
VL  - 1
IS  - 4
ER  -

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