scholarly journals Effect of cement factory on land use-land cover in Obajana Lokoja Local Government Area, Kogi State, Nigeria

2017 ◽  
Vol 11 (7) ◽  
pp. 384-392
Author(s):  
Dalil Musa ◽  
Omeiza Amodu Isaiah ◽  
Abdullahi Abbas Yahaya ◽  
Husaini Abdul
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Local Government Area ◽  
Land Use Land Cover ◽  
Cement Factory

scholarly journals Land Use/Land Cover Changes of Ado-Ekiti LGA, Ekiti State, Nigeria Using Remote Sensing Techniques

2021 ◽  
pp. 32-42
Author(s):  
Ajagbe, Abeeb Babajide ◽  
Oguntade, Sodiq Solagbade ◽  
Abiade, Idunnu Temitope
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Water Body ◽  
Local Government Area ◽  
Land Cover Changes ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
Bare Surface

Land use assessment and land cover transition need remote sensing (RS) and geographic information systems (GIS). Land use/land cover changes of Ado-Ekiti Local Government Area, Ekiti State, Nigeria, were examined in this research. Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI were acquired for 1985, 2000, and 2015 respectively. Image scene with path 190 and row 055 was used for the three Landsat Images. A supervised digital image classification approach was used in the study, which was carried out using the ArcMap 10.4 Software. Five land use/land cover categories were recognised and recorded as polygons, including Built-up Areas, Bare surface, water body, Dense Vegetation and Sparse Vegetation. The variations in the area covered by the various polygons were measured in hectares. This study revealed that between 1985 and 2015, there was a significant change in Built-up areas from 1694 hectares to 5656 hectares. However, there was a reduction in water body from 25 hectares in 1985 to 19 hectares in 2015; there was a severe reduction in the bare surface from 4641 hectares in 1985 to 2237 hectares in 2015. Generally, the findings show that the number of people building houses in the study area has grown over time, as many people reside in the outskirts of the Local Government Area, resulting in a decrease in the vegetation and bare surfaces. The maps created in this research will be useful to the Ekiti State Ministry of Land, Housing, Physical Planning, and Urban Development to develop strategies and government policies to benefit people living in the Ado-Ekiti Local Government Area of the State.

scholarly journals Classification of land use/land cover of Aniocha north local government area, Delta state using satellite imagery

2021 ◽  
Vol 10 (3) ◽  
pp. 207-216
Author(s):  
Ugbelase Vincent Nwacholundu ◽  
Igbokwe Joel Izuchukwu ◽  
Emengini Josephine Ebele ◽  
Ejikeme Joseph Onyedika ◽  
Igbokwe Esomchukwu Chinagorom
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Local Government Area ◽  
Thematic Mapper ◽  
Population Pressure ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Average Accuracy ◽  
Landsat 7

Remote Sensing (RS) and Geographic Information System (GIS) have been established as indispensable tools in the assessment of Land use / Land cover (LULC) change. RS and GIS are important for the monitoring, modelling and mapping of land use and land cover changes across a range of spatial and temporal scales, in order to assess the extent, direction, causes, and effects of the changes. Change detection has provided suitable and wide-ranging information to various decision support systems for natural resource management and sustainable development. The main objective of the study is to assess and evaluate the extent and direction of changes in LULC of Aniocha North Local Government Area (LGA), Delta State, Nigeria to explain the changes and identify some of their effects on both the livelihoods of the local people and the local environment, and also to explore some of the conservation measures designed to overcome problems associated with land use and land cover changes. Landsat 7 Enhanced Thematic Mapper (ETM+) of 2002 with 30 meters resolution and landsat 7 Enhanced Thematic Mapper (ETM) 2014satellite images as well as GIS techniques were used to monitor the changes and to generate maps of the LULC of the area in these periods. Supervised Land Use/Land Cover classification algorithm (Maximum likelihood with null class) was used in the analysis of classification. The classification result of LandSat ETM+ (2002) revealed that farmland accounted for 36.34% of the total LULC class, followed by savannah which accounted for 24.15%. Forest built up area, and waterbody constituted 20.42%, 16.46% and 2.62% respectively. Also, the result of LandSat ETM (2014) shows that forest accounted for 38.59% followed by farmland with 30.93%. Built up area covers 25.55% while savannah and river cover 2.86% and 2.08% respectively. The classification shows 83.26 % average accuracy and 79.16 % overall accuracy for 2002 while the 2014 accuracy assessment showed 95.06% average accuracy and 94.99% overall accuracy. Growing population pressure and its associated problems, such as the increasing demand for land and trees, poor institutional and socio-economic settings, and also unfavorable government policies, such as lack of land tenure security and poor infrastructure development, have been the major driving forces behind the LULC changes.

scholarly journals Flood Susceptibility Mapping of Makera District and Environs in Kaduna South Local Government Area of Kaduna State-Nigeria

2021 ◽  
Vol 5 (2) ◽  
pp. 420-432
Author(s):  
U.S. Ibrahim ◽  
T.T. Youngu ◽  
B. Swafiyudeen ◽  
A.Z. Abubakar ◽  
A.K. Zainabu ◽  
...  
Keyword(s):  
At Risk ◽  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Drainage Density ◽  
Local Government Area ◽  
Susceptibility Map ◽  
Land Use Land Cover ◽  
Strict Adherence ◽  
Thematic Layers

The increased flood incidences experienced all over the world due to climate change dynamics call for a concerted effort towards forestalling future hazards. This study thus, identified the areas that are susceptibility to floods in parts of the Makera district of the Kaduna South Local Government Area in Nigeria using geospatial techniques. Geographic Information System (GIS) was used to produce thematic layers of the factors contributing to flooding (elevation, slope, drainage density, rainfall, land use/land cover); and a multi-criteria evaluation particularly the “Analytical Hierarchical process” (AHP) was applied to determine the locations at risk. The various thematic layers were integrated into the weighted overlay tool in the ArcGIS 10.3 environment to generate the final susceptibility map. The overlay tool was also used to determine the elements at risk of flood in the study area. The results show that the areas that were highly susceptible to flood constituted about 39% of the study area, while moderate and low vulnerable areas constituted about 26% and 35%, respectively. The result of the multi-criteria analysis revealed that land use/land cover (0.601) was the factor that contributed the most to flooding in the study area based on the criteria weights followed by rainfall (0.470), drainage density (0.326), elevation (0.144), and slope (0.099), respectively. The study recommends that authorities concerned should ensure strict adherence to land use planning act, such that floodplains are avoided during development of any type.

scholarly journals Effects of Land Use and Land Cover Change on Tse Gavar Forest Reserve, Vandeikya Local Government Area, Benue State, Nigeria

2020 ◽  
Vol 2 (1) ◽  
pp. 34-46
Author(s):  
Emmanuel Tertsea Ikyaagba ◽  
Joseph Asen Jande ◽  
Mercy Kpadoo Abiem
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Land Cover Change ◽  
Local Government Area ◽  
Forest Area ◽  
Community Forest ◽  
Remotely Sensed Data ◽  
Forest Reserve ◽  
Bare Land

Forests are considered to be the very basis for human existence as they touch virtually every aspect of human endeavour. Despite the numerous benefits of forests, the world is experiencing unprecedented degradation of forest and its resources; this is mainly attributed to land use and land cover (LULC) change. Therefore, monitoring of these changes has become a necessity. Hence, the use of remotely sensed data in conjunction with GIS for land use and land cover analysis of Tse Gavar community forest in Vandeikya Local Government Area would definitely enhance the available data for sustainable management and promotion of community forest in the State. This study made use of mostly secondary data from pre-existing satellites imageries. The Landsat TM for 1986, Landsat ETM+ for 2001 and 2012 as well as OLI for 2018 images were sourced from the Earthexplorer platform from United States Geological Surveys (USGS), Global Land Cover Facility (GLCF) and GloVis. Images were subjected to various image processing techniques and supervised classification was carried out on the various images. The classification resulted in classes of farmland, other vegetation, forest area and bare land. The percentage of LULC in Tse Gavar Forest Reserve indicated that farmland increased from 5.78% in 1986 to 18.25% in 2018.  Shrubland also increased from 3.06% in 1986 to 21.08% in 2018. Forested area decreased from 84.17% in 1986 to 59.38% in 2018. The magnitude of land use/land cover change within the 32 years period showed that 9.36 Ha of the forest area was lost to other forms of land use, the bare land area lost within the period was 0.09 Ha to other land uses.  Farmland area increased by 4.32 Ha within the period, shrubland increased by 5078.88 km2.  It was established that just like other protected areas, land use and land cover changes are going on in the Tse Gavar community forest reserve. Enrichment planting of the reserve was recommended.

scholarly journals Land-use and Land-cover Analysis of Kaduna South Local Government Area, Kaduna State, Nigeria

2019 ◽  
Vol 8 (3) ◽  
pp. 62
Author(s):  
Cyril Kanayochukwu Ezeamaka ◽  
Mwanret Gideon Daful ◽  
Emmanuel Chinenelum Umeano
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Local Government Area

scholarly journals Identification of Potential Zones for Solid Waste Disposal in Jos South Local Government Area of Plateau State, Nigeria

2021 ◽  
pp. 21-32
Author(s):  
Kulokom Stephen ◽  
Balogun Bolarinwa Olutayo ◽  
Fagbeja Mofoluso
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Disposal ◽  
Secondary Data ◽  
Land Use Land Cover ◽  
Solid Waste Disposal ◽  
Plateau State

Disposal is a critical phase in the management of municipal solid waste, due to unavailability of suitable facilities to treat and dispose of the large amount of municipal solid waste generated daily in metropolitan cities. Improper municipal solid waste disposal locally, cause environmental impacts such as contamination of soil, water pollution, and increase methane emissions. In this study, an attempt has been made to use GIS and remote sensing to identify high potential zones for solid waste disposal in Jos South Local Government Area of Plateau State between 2019 and 2020. Primary data and secondary data were used for this study. The position data of the existing dumpsites in the study area were acquired in-situ with a handheld Global Positioning System (GPS) receiver. The secondary data consists of NigeriaSAT-X, geological, administrative maps, Google map, hydro-geophysical data and Shuttle Radar Topographic Mission (SRTM) images. Thematic layers considered in this study include drainage, road and land use/land cover, lithology and geology. The dumpsite point (X, Y) was imported as shapefile and superimposed on the study area boundary to show the existing location. Digital image segmentation of NigeriaSAT-X and geology dataset was carried out to derive the land use/ land cover and geology classifications of the study area. Lithological analysis was carried out using Kriging Method to interpolate the hydro-geophysical data. The slope, land/use, geology, drainage, road, waterbody, built-up and lithology were reclassified and overlaid using Weighted Sum Overlay Method a Spatial Analyst tool in ArcGIS 10.4 to generate the potential zones for solid waste disposal. The result shows the potential zones for solid waste disposal and characterized into unsuitable, less suitable, moderately suitable, suitable and highly suitable.

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