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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 4, June 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD31134 | Volume – 4 | Issue – 4 | May-June 2020 Page 919
Land use Land Cover Highlight for
Jibia Local Government, Nigeria
Lugga M. S1, Babale Z. T2, Yamel A. G3
1Civil Engineering Department, Federal Polytechnic, Kaura Namoda, Nigeria
2Biology Department, Federal College of Education Katsina, Katsina, Nigeria
3Geography Department, Government Day Senior Secondary School Batagarawa, Batagarawa, Nigeria
ABSTRACT
Land use and land cover is very important for appropriate planning and
budget of a community. In Jibia several activities are carried on the land
without actually knowing the percentage of the landcoveroffeatures.Remote
sensing and GIS technology are valuable tools in managing land use and land
cover. This research described the land use and land cover coverage of the
entire LGA land using Remote Sensing and GIS. Landsat Satellite imagery of
2009 of the study area was processed and classified into 5 groups namely;
Build up/sharp sand, Farm Land/trees, Vegetation/shrubs, Water body and
Barren land. Statistical analysis was employed to show the percentage
distribution of the land. The study shows the percentage coverage of land
physical feature which in turn describe the land use. The research revealed
that agriculture is the major activity in the study area. It also concluded by
recommending the need for adequatemeasurestoavoid desertencroachment
and government support to enhance agricultural produce.
KEYWORDS: Land Use, Land Cover, Remote Sensing, GIS
How to cite this paper: Lugga M. S |
Babale Z. T | Yamel A. G "Land use Land
Cover Highlight for Jibia Local
Government,
Nigeria" Publishedin
International Journal
of Trend in Scientific
Research and
Development
(ijtsrd), ISSN: 2456-
6470, Volume-4 |
Issue-4, June 2020, pp.919-921, URL:
www.ijtsrd.com/papers/ijtsrd31134.pdf
Copyright © 2020 by author(s) and
International Journal ofTrendinScientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the Creative
CommonsAttribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
I. INTRODUCTION
Land cover refers to the surface cover on the ground,
whether vegetation, urbaninfrastructure,water, baresoil,or
other. Land use refers to the purpose the land serves like
recreation, wildlife habitat, or agriculture (NRCAN, 2015).
Land cover and land use are two ways of observing Earth’s
surface, answering two basic questions: What is this (land
cover)? What is it for (land use)? Beforebeingabletoanswer
these questions, it is, however, important to clarify the
problem of what objects are to be observed and/or what are
the observation units to be considered. Issues such as the
complex problem of mixedobjectsand mappingorstatistical
approaches therefore need to be dealt with. Land cover, as
the observed physical cover, and land use, as the function it
serves, are in most cases interrelated (Duhamel C, 2011).
Identification, delineating, and mapping land cover is
important for global monitoring studies, resource
management, and planning activities. Identification of land
cover establishes the baseline from which monitoring
activities can be performed, and provides the ground cover
information for baseline thematic maps. Land use
applications involve both baseline mapping and subsequent
monitoring, since timely information is required to know
what current quantity of land is in what type of use and to
identify the land use changes from year to year (NRCAN,
2015).
Desertification can be by disruption in ecological balance
caused by poor land use and ever increasing demand being
made on the available resources by the expanding
population and socio – economic systems of the affected
areas (LCBC,1990).
Land cover can be determined by analysing satellite and
aerial imagery. Land use cannotbedeterminedfromsatellite
imagery. Land cover maps can provide information to help
managers best understand the current landscape (NOAA,
2020).
The large area coverage provided by satellite sensors can
provide data for desertification analysis and mland use land
cover (LULC) mapping thereby making Remotesensingdata
and Geographical Information System (GIS) techniques to
provide reliable information for spatial modeling in
determining the land cover.
This study aims at land use and land cover mapping of the
study area using remote sensing and GIS technique.
II. AIM AND OBJECTIVES
The general objective of this paper is to highlight land use
land cover in the study area. It was specifically aimed to
assess the impacts of desertification by the applications of
remote sensing and GIS.
IJTSRD31134
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD31134 | Volume – 4 | Issue – 4 | May-June 2020 Page 920
To perform image classification of the study area
To perform statistical analysis of the classified image
III. STUDY AREA
Jibia LGA is a Local Government located in Katsina State in
the northern part of Nigeria. Jibia sits along on the Nigerian
border with Niger, it shares borders with Batsari, Kaita,
Katsina and Batagarawa LGA of Katsina StateandZurmiLGA
of Zamafara State. The population of the LGA was
approximately 169,748 as of 2006 and the area is 1037Km2.
The LGA is located within geographical coordinates 130 05’
30’’ N and 70 13’ 35’’.
Figure 1: Map of the study area
IV. METHODOLOGY
1. Materials Used:
The materials used are software, hardware and datasets.
The hardware used are :
A. Laptop computer
Software used
A. Erdas Imagine 9.1
B. ArcGIS v10.1 Desktop
C. Microsoft Excel.
D. Microsoft word
The dataset used are:
A. Landsat satellite Image of 2009
B. Topographic map of Jibia LGA
2. Methodology:
The procedural steps used in the analysis of the datasets in this study are summarized in figure
Figure 2: A flow diagram of the steps used in carrying out the research.
Satellite Image/image processing: Landsat satellite
imagery was obtained for the year 2009. A digital image
rectification and restoration was done to correct the
distorted image, the digital image was geometrically
corrected using geo- referencing so-called ground
control point with known co-ordinates to the
corresponding pixels in the image. And also image
enhancement on the scene (2009) was performed.
Images classification: This was done to categorize all
pixels in an image into land cover classes or themes.
This is either supervised or unsupervised classification.
This study used unsupervised classification.Fiveclasses
namely barren land, water body, vegetation/trees,farm
land/shrubs and build up/sharp sand were selected.
Landsat satellite
Image
Administrative Map of
Jibia LGA
Base Map (Image Subset)
Image Classification
Results and
Discussion
Ground Truth
Image Processing
Statistical Analysis
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD31134 | Volume – 4 | Issue – 4 | May-June 2020 Page 921
V. RESULTS AND DISCUSSION
Figure 3: Landsat image of 2009
Figure 4: Classified image of 2009
Figure 5: Pie chart of 2009 classified image
Table1: Area and percentage occupied by each class.
Classes Area(Ha) Percentage
Build up/sharp sand 8091.100 7.546
Farm Land/trees 32456.07 30.269
Vegetation/shrubs 30943.76 28.859
Water body 2582.23 2.408
Barren land 33152.05 30.918
107225.21 100.000
From Table 1, figure 5, barren land occupies the largest land
area with 33152.05ha (30.918%), followed by
farmland/shrubs with 32456.07ha (30.269%) and then
vegetation/trees with 30943.76ha (28.859%). Water body
covers the least area with 2582.23ha (2.408%) and then
build up/sharp sand areas with 8091.1 ha (7.546%).
VI. CONCLUSION
In this paper GIS based analysis of remote sensed data was
employed show the land use land cover of Jibia LGA. The
analysis shows that most of the occupants in the study area
depends on agriculture. It shows the presence ofa Damused
for irrigation and other agricultural purposes. 30% are farm
lands/trees which is almost four times the builup/sharp
sand. Shrubs for grazing and the percentage of barren land
may lead to desertification if not tackled on time.
VII. RECOMMENDATION
1. Adequate measures should be taken to avoid desert
encroachment.
2. Agricultural support should be given to farmers to
improve their production
3. A temporal GIS analysis should be done do detect LULC
changes in the study area
REFERENCES
[1] Duhamel, C. (2011). Land Use And Land Cover,
Including Their Classification. Retrieved from:
http://www.eolss.net. Downloaded on: 20th May,
2020.
[2] LCBC, (1990). The Lake Chad Conventional Basin. A
Diagnostic study of Environmental Degredation.
[3] NOAA, (2020). What is the difference between land
cover and land use. Retrieved from:
http://www.oceanservice.noaa.gov/facts/lclu.html.
Downloaded on: 20th May, 2020.
[4] NRCAN, (2015).LandcoverandLandUse.Retrieved
from: http://www.nrcan.gc.ca/maps-tools-and-
publications.html. Downloaded on: 20th May, 2020

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Land use Land Cover Highlight for Jibia Local Government, Nigeria

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 4 Issue 4, June 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD31134 | Volume – 4 | Issue – 4 | May-June 2020 Page 919 Land use Land Cover Highlight for Jibia Local Government, Nigeria Lugga M. S1, Babale Z. T2, Yamel A. G3 1Civil Engineering Department, Federal Polytechnic, Kaura Namoda, Nigeria 2Biology Department, Federal College of Education Katsina, Katsina, Nigeria 3Geography Department, Government Day Senior Secondary School Batagarawa, Batagarawa, Nigeria ABSTRACT Land use and land cover is very important for appropriate planning and budget of a community. In Jibia several activities are carried on the land without actually knowing the percentage of the landcoveroffeatures.Remote sensing and GIS technology are valuable tools in managing land use and land cover. This research described the land use and land cover coverage of the entire LGA land using Remote Sensing and GIS. Landsat Satellite imagery of 2009 of the study area was processed and classified into 5 groups namely; Build up/sharp sand, Farm Land/trees, Vegetation/shrubs, Water body and Barren land. Statistical analysis was employed to show the percentage distribution of the land. The study shows the percentage coverage of land physical feature which in turn describe the land use. The research revealed that agriculture is the major activity in the study area. It also concluded by recommending the need for adequatemeasurestoavoid desertencroachment and government support to enhance agricultural produce. KEYWORDS: Land Use, Land Cover, Remote Sensing, GIS How to cite this paper: Lugga M. S | Babale Z. T | Yamel A. G "Land use Land Cover Highlight for Jibia Local Government, Nigeria" Publishedin International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-4 | Issue-4, June 2020, pp.919-921, URL: www.ijtsrd.com/papers/ijtsrd31134.pdf Copyright © 2020 by author(s) and International Journal ofTrendinScientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (CC BY 4.0) (http://creativecommons.org/licenses/by /4.0) I. INTRODUCTION Land cover refers to the surface cover on the ground, whether vegetation, urbaninfrastructure,water, baresoil,or other. Land use refers to the purpose the land serves like recreation, wildlife habitat, or agriculture (NRCAN, 2015). Land cover and land use are two ways of observing Earth’s surface, answering two basic questions: What is this (land cover)? What is it for (land use)? Beforebeingabletoanswer these questions, it is, however, important to clarify the problem of what objects are to be observed and/or what are the observation units to be considered. Issues such as the complex problem of mixedobjectsand mappingorstatistical approaches therefore need to be dealt with. Land cover, as the observed physical cover, and land use, as the function it serves, are in most cases interrelated (Duhamel C, 2011). Identification, delineating, and mapping land cover is important for global monitoring studies, resource management, and planning activities. Identification of land cover establishes the baseline from which monitoring activities can be performed, and provides the ground cover information for baseline thematic maps. Land use applications involve both baseline mapping and subsequent monitoring, since timely information is required to know what current quantity of land is in what type of use and to identify the land use changes from year to year (NRCAN, 2015). Desertification can be by disruption in ecological balance caused by poor land use and ever increasing demand being made on the available resources by the expanding population and socio – economic systems of the affected areas (LCBC,1990). Land cover can be determined by analysing satellite and aerial imagery. Land use cannotbedeterminedfromsatellite imagery. Land cover maps can provide information to help managers best understand the current landscape (NOAA, 2020). The large area coverage provided by satellite sensors can provide data for desertification analysis and mland use land cover (LULC) mapping thereby making Remotesensingdata and Geographical Information System (GIS) techniques to provide reliable information for spatial modeling in determining the land cover. This study aims at land use and land cover mapping of the study area using remote sensing and GIS technique. II. AIM AND OBJECTIVES The general objective of this paper is to highlight land use land cover in the study area. It was specifically aimed to assess the impacts of desertification by the applications of remote sensing and GIS. IJTSRD31134
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD31134 | Volume – 4 | Issue – 4 | May-June 2020 Page 920 To perform image classification of the study area To perform statistical analysis of the classified image III. STUDY AREA Jibia LGA is a Local Government located in Katsina State in the northern part of Nigeria. Jibia sits along on the Nigerian border with Niger, it shares borders with Batsari, Kaita, Katsina and Batagarawa LGA of Katsina StateandZurmiLGA of Zamafara State. The population of the LGA was approximately 169,748 as of 2006 and the area is 1037Km2. The LGA is located within geographical coordinates 130 05’ 30’’ N and 70 13’ 35’’. Figure 1: Map of the study area IV. METHODOLOGY 1. Materials Used: The materials used are software, hardware and datasets. The hardware used are : A. Laptop computer Software used A. Erdas Imagine 9.1 B. ArcGIS v10.1 Desktop C. Microsoft Excel. D. Microsoft word The dataset used are: A. Landsat satellite Image of 2009 B. Topographic map of Jibia LGA 2. Methodology: The procedural steps used in the analysis of the datasets in this study are summarized in figure Figure 2: A flow diagram of the steps used in carrying out the research. Satellite Image/image processing: Landsat satellite imagery was obtained for the year 2009. A digital image rectification and restoration was done to correct the distorted image, the digital image was geometrically corrected using geo- referencing so-called ground control point with known co-ordinates to the corresponding pixels in the image. And also image enhancement on the scene (2009) was performed. Images classification: This was done to categorize all pixels in an image into land cover classes or themes. This is either supervised or unsupervised classification. This study used unsupervised classification.Fiveclasses namely barren land, water body, vegetation/trees,farm land/shrubs and build up/sharp sand were selected. Landsat satellite Image Administrative Map of Jibia LGA Base Map (Image Subset) Image Classification Results and Discussion Ground Truth Image Processing Statistical Analysis
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD31134 | Volume – 4 | Issue – 4 | May-June 2020 Page 921 V. RESULTS AND DISCUSSION Figure 3: Landsat image of 2009 Figure 4: Classified image of 2009 Figure 5: Pie chart of 2009 classified image Table1: Area and percentage occupied by each class. Classes Area(Ha) Percentage Build up/sharp sand 8091.100 7.546 Farm Land/trees 32456.07 30.269 Vegetation/shrubs 30943.76 28.859 Water body 2582.23 2.408 Barren land 33152.05 30.918 107225.21 100.000 From Table 1, figure 5, barren land occupies the largest land area with 33152.05ha (30.918%), followed by farmland/shrubs with 32456.07ha (30.269%) and then vegetation/trees with 30943.76ha (28.859%). Water body covers the least area with 2582.23ha (2.408%) and then build up/sharp sand areas with 8091.1 ha (7.546%). VI. CONCLUSION In this paper GIS based analysis of remote sensed data was employed show the land use land cover of Jibia LGA. The analysis shows that most of the occupants in the study area depends on agriculture. It shows the presence ofa Damused for irrigation and other agricultural purposes. 30% are farm lands/trees which is almost four times the builup/sharp sand. Shrubs for grazing and the percentage of barren land may lead to desertification if not tackled on time. VII. RECOMMENDATION 1. Adequate measures should be taken to avoid desert encroachment. 2. Agricultural support should be given to farmers to improve their production 3. A temporal GIS analysis should be done do detect LULC changes in the study area REFERENCES [1] Duhamel, C. (2011). Land Use And Land Cover, Including Their Classification. Retrieved from: http://www.eolss.net. Downloaded on: 20th May, 2020. [2] LCBC, (1990). The Lake Chad Conventional Basin. A Diagnostic study of Environmental Degredation. [3] NOAA, (2020). What is the difference between land cover and land use. Retrieved from: http://www.oceanservice.noaa.gov/facts/lclu.html. Downloaded on: 20th May, 2020. [4] NRCAN, (2015).LandcoverandLandUse.Retrieved from: http://www.nrcan.gc.ca/maps-tools-and- publications.html. Downloaded on: 20th May, 2020