This paper examined the use of GIS and Remote Sensing in monitoring the growth and development pattern of Ile-Ife, Osun State, Nigeria over a period of 21 years with a view to predicting its direction of growth. In effect, the study sought to identify and explain the rate and extent of changes in the study area between 1986 and 2007; measure the rate of urban growth in the study area between 1986 and 2007; assess the impact of urban growth on land use patterns; and predict the trend of urban growth in the study area.

Data for the study were generated from both primary and secondary sources. Remote Sensing Imagery of Landsat TM 1986, Landsat ETM 2002 and ALOS 2007 were used to measure the extent of growth and to show the effects of this growth on other Land use/Land cover types. Multi-temporal approach was adopted for the study to detect the changes in the imageries. Pixel analysis was employed to identify and compare the type, nature, trend and magnitude of change that occurred in the study area within the slated dates. The observed land use/land cover and population were projected to the next 15 years.

The dynamics of the urban form in relation to anthropogenic activities leaves much to be desired in its study for

The study examined the growth pattern of settlements in Oke-Ogun area of Oyo State, Nigeria between 1984 and 2011; and predicted the future growth pattern of settlements in the study area. Both primary and secondary data were used for this study. Primary sources of data include Global Positioning System (GPS), Landsat TM and ETM+ imageries of 1984, 1990, 2000, and 2011. Secondary data included administrative map and population data of the study area. Descriptive statistics and geospatial technique were used to analyse the data collected. The results showed a random pattern of settlement distribution in the study area. Results revealed that settlements covered about 0.52% of the total land area in 1984; 1.32% in 2000; and 3.78% in 2011. Whereas linear pattern of growth characterised the periods between 1984 and 1990; clustering, infilling, and fringes were the patterns of growth that characterised the periods between 1990 and 2011. The study predicted that, at an average 1.2% of annual growth rate, settlements will occupy about 44.37% of the total land area by 2031. The study concluded that settlements in the study area varied in the patterns of distribution; the area was dominated by indigenous settlements type with overconcentration of social and economic infrastructures in few centres.

This study was set against the background of identifying management strategies to combat the menace associated with poor solid waste management in urban areas of Nigeria. Therefore, it becomes highly necessary to determine suitable sites for landfill. Using remote sensing and geographic information tools and technologies the study identified the scenes of present dump sites; evaluated the conditions for selecting landfill sites; and determined suitable landfills in Ajaokuta, Nigeria. Data for the study were sourced from Sentinel-2A, 2021. Integrated GIS-based analysis using multi-criteria evaluation method was employed to scrutinise the appropriateness of the existing dumpsites for siting landfills. However, with reference to Federal Environmental Protection Agency (FEPA) guidelines, results of buffering and proximity analyses indicated that none of the existing dumpsites could be converted to landfill sites. Moreover, a fuzzy overlay of all the criteria considered was employed to identify and propose the most suitable areas for solid waste disposal sites in the study area. Based on the official stipulated distance, new sites were proposed for landfills. The study emphasised the increasing mounds and improper disposal of municipal solid wastes in Nigerian urban centres which have become too agonising and repulsive to sights. Nevertheless, if the recommendations of this study are taken with utmost seriousness, any unexpected outbreak of epidemic and environmental pollution will be greatly avoided in the study area.