Browsing by Author "Ayo Babalola"

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    A Holistic Approach for Developing a Multi-Purpose Land Administration System for Akure Metropolis
    (SETJET, Federal University of Technology Akure, 2020-06) Sunday Oyetayo Babalola; Iyotor Thaddeus Eshiemokhai; Ayo Babalola
    The administration of land records by multiple departments causes inefficiency in referring or comparing the land records from different land related departments because there is no effective link between them. A Multipurpose Land Administration System (MLAS) encourages data integration from several agencies. The objective of this study is to demonstrate a GIS approach that incorporates spatial database with datasets from various land related departments into a MLAS. Different spatial datasets such as Land parcel boundaries, building locations, road network, crime map, flood risk map, etc., were acquired from the study area. These acquired data were further processed using spatial data conversion tools into interoperable formats that were useful for the MLAS. ArcGIS was used to perform map overlay operations for the spatial data integration of the various spatial databases to demonstrate a MLAS. Spatial queries were also performed in ArcGIS to demonstrate the functionality of the MLAS. The result demonstrated the need for data integration across organizations in promoting effective land management, planning, and sustainable development
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    Flood Susceptibility Mapping in Asa Local Government Area, Kwara State, using Remote Sensing and GIS Approach
    (1Department of Geography and Environmental Management, Faculty of Social Science, University of Ilorin, P.M.B. 1515, Ilorin, Nigeria 2Department of Surveying and Geoinformatics, Faculty of Environmental Science, University of Ilorin, P.M.B. 1515, Ilorin, Nigeria, 2022) Isa B. Salami; Falilat O. Lawal; Mohammed O. Idrees; Okochi M. Ifechukwu; Ayo Babalola; Dahir M. Omar; Azeez K. Alade
    Abstract: The increasing incidences of flood events in recent times have necessitated the need to come up with an early warning information for flood risk preparedness and reduction. The study aimed at mapping flood susceptibility in Asa Local Government Area, Kwara State, using Geographic Information System (GIS) based multi criteria evaluation approach. The data required for the study include: rainfall amount, soil texture, digital elevation model, distance from stream (euclidean distance) and land use land cover of the study area. Using Analytic Hierarchical Process, flood criteria weights were calculated for the different variables according to their influence on flooding and overlay analysis was employed in analysing the data for the study. The result of the study show there is spatial variation in the level of susceptibility to flood risks in the study area. Thus, the low-risk area covers 16.1% (~222.24 km2 ), moderate class 28.8% (~398.08 km2 ), high risk zone occupies 39.5% (~408.70 km2 ) while the very high-risk zone takes up 25.6% (~354.15 km2 ) of the area coverage of the study area. Furthermore, the accuracy assessment produced area under the curve (AUC) value of 0.795 (~80%). From the study, it was also discovered that Owode, parts of Afon, Bode, Onikangu, Abule-Alagbede fall within the very high and high-risk flood zones. The map could be a useful tool to decision makers in Asa local government for effective flood management plans.