Abstract
Land use-land cover (LULC) is a vital phenomenon for the understanding interactions between the environment and human activities. In order to study and manage the resultant changes, it is pertinent to map different themes from time to time. The study focuses on the effect of the location of cement factory on land use-land cover in Obajana Community, Lokoja Local Government Area Kogi, Nigeria. The study employed supervised digital image classification method using Arc GIS 10.2 and ILWIS 3.3 Academic to classify the area into bare surface/degraded area, built-up area, vegetation and water body. The study revealed that changes have occurred within the period, 2005 to 2015; vegetal cover decreased by -19.2 km2 (49.74%), built-up area has increased by 2.1 km2 (5.44%). Bare surface/degraded area increased by 2.1 km2 (5.44%). A decrease of -0.1 km2 representing -0.26% was observed in the water body. It is therefore, recommended that land use land cover changes should be monitored at an interval of ten to fifteen years not only for urban planning purposes but to improve and manage land and land resources in a sustainable way. Key words: Land use, land cover, change detection, image classification, urban growth.  
Highlights
Cities are dynamic, this is because changes are inevitable. Kafi et al (2014) stated that these changes can be attributed to one factor or the other depending on the socio economic, political and climatic condition of a given area
Due to physical development activities, the earth surface is being gradually altered in some manner and man’s presence on the earth and his use of land has had a profound effect on the natural environment, resulting in an observable change in the land use-land cover (LULC) over time (Sreenivasulu et al, 2014)
Recent studies have shown that geographic information system (GIS) and remote sensing have become very useful tools in research for trend analysis, change detection, monitoring and lots more, this is because data of any point of interest on the earth surface are available all year round, and so these data sets can be remotely acquired, analyzed and
Summary
This is because changes are inevitable. Kafi et al (2014) stated that these changes can be attributed to one factor or the other depending on the socio economic, political and climatic condition of a given area. Kafi et al (2014) analyzed LULC change detection using remotely sensed data in Bauchi city They carried out the study grouping the various land use types into five: Wet land, farm land, shrub/grass, built up area and. The research found out that settlement expansion, subsistence farming and illegal logging are the major factors behind the LULC changes observed in the area They advised on the need for comprehensive assessment of human activities and adaptation of sustainable forest management. Even though many researches have been carried out around the world on the use of remote sensing and GIS in monitoring and assessing the effect of mining activities of various environmental components within mining regions, reviewed literatures have shown that much emphasis has been laid generally on LULC changes as well as on the health challenges of people around mining areas. It has an undulating surface which gently slopes downward southwest-northeast trend (Figures 1 and 2)
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