Surveying and Geoinformatics - Scholarly Publications

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    Open Access
    Groundwater potential mapping in hard rock terrain using remote sensing, geospatial and aeromagnetic data, Geosystems and Geoenvironment
    (ELSEVIER, 2022-07-14) Ishola, K.S; Fatoyinbo, A.A; Hamid-Mosaku, A.I; Okolie, C.J; Daramola, O.E; Lawal, T.O
    The need for water security in different regions of the world has led to the deployment of remote sensing (RS) and geographic information systems (GIS) as decision support tools with geophysical methods. In this study, the remote sensing, geospatial and aeromagnetic data were integrated for mapping the groundwa- ter potential at the University of Ilorin, Nigeria in West Africa. Several remote sensing and geospatial datasets (geomorphology, lineament density, slope, rainfall, land use/land cover, soil type and drainage density) were enhanced, weighted, prioritised and ranked using the analytical hierarchy process (AHP) technique. Subsequently, the thematic datasets were integrated into a GIS platform to produce a ground- water potentiality zonation (GWPZ) map. Visualisation of the corrected aeromagnetic data was improved by using some image enhancement techniques (filters) to produce the magnetic anomaly maps that re- vealed gross and subtle subsurface features. Multiple validation of the GWPZ map was achieved using the magnetic anomalies maps, borehole groundwater potential indices (GWPI) and the receiver operat- ing characteristic (ROC) curves. The GWPZ map generated was classified into three groundwater potential classes with different spatial distributions. These include moderate (60.6%), high (5.9%), and low (33.5%). The magnetic anomalies maps agreed well with the remotely sensed models through surface-subsurface lineaments superposition. The area under curve (AUC) of the ROC showed that the predictive rate of the GWPZ model was 0.73. This value suggested that the model satisfactorily predicted the groundwater po- tential of the study area. Thus, this present study demonstrated the relevance of geospatial and geophys- ical techniques for regional groundwater potential mapping at the assessment phase of integrated water resources management towards providing a better understanding of the hydrogeology for easy decision- making and better groundwater management
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    Open Access
    Geospatial Multi-Criteria Suitability Analysis Of Proposed Lagos State Airport Site Selection
    (International Journal of Marine Engineering Innovation and Research, 2024-06-11) Hamid-Mosaku I.A; Paul U.N; David O.O; Idris A.A; Peter, A.; Kehinde M.O; Adewale A.A; Solomon A.A
    The Federal Government of Nigeria recently announced the plan for new airports across the country in order to ease the air transportation system across the country and its connectedness to other parts of the world. However, the adequacies of the declared sites were not empirically supported through a carefully designed suitability assessment; that assured their appropriateness environmentally and geospatially. Thus, this paper examines the geospatial suitability evaluation of the proposed Airport in the Eti-Osa Local Government Area in Lagos State. A multi-criteria suitability analysis (MCSA) concept in a geospatial environment was adopted, using the analytic network process (ANP)del based on reviewed criteria for the airports' site suitability selection. Different thematic layers of the land cover for the assessment were achieved through the geospatial capabilities of Geographic Information System and Remote Sensing, with the various factors’ priorities from the ANP model in the final analysis of alternative suitability sites for this proposed airport. The final suitability model revealed different levels of this suitability for consideration by relevant decision-makers for better- informed decisions about the project.
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    Open Access
    An Application of Fuzzy Inference System to Marine Fish Landings for West Coast of Malaysia
    (Inderscience Online, 2017) Hamid-Mosaku, I.A; Mahmud, M.R; Mohd, M.S
    Malaysia marine fishery sector and its activities are prominent in Malaysia waters, contributing to the nation's gross domestic product (GDP) and providing sustenance and protein. Among these activities are the landings of different fisheries resources from different landing districts, collated on states level, and officially reported annually. However, contributions of these landings to GDP are not adequately reported; moreover, fuzzy terms used in some cases were not evenly represented. Therefore, in the context of marine geospatial data infrastructure (MGDI) decisions, these constitute fuzzy decision problems resulting from stakeholders' subjectivity and uncertainties. In this paper therefore, evaluations of reported landings from 2006-2010 for western coast of Malaysia were investigated using fuzzy inference system. Categorisation of these contributions to GDP appropriately analysed to assist stakeholders in making informed decisions. Additionally, this novel approach is yet to be reported in literature to cases of fisheries landings and GDP across Asia and beyond.
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    Open Access
    Fusion of GIS, remote sensing, geophysics and Dempster Shafer theory of evidence for mapping groundwater prospectivity: A case study of the central parts of Lagos State, Nigeria
    (ScienceDirect, 2024-07-29) K.S. Ishola; M.O. Bakare; A.I. Hamid-Mosaku; C.J. Okolie; K.T. Olagunju; O.M. Oshikoya
    Water utilization for different human activities is universally crucial, but it is not readily available for consumption in some areas, such as the central parts of Lagos State, Nigeria. Moreover, there are many groundwater controlling factors (GWCFs) spanning geological, geophysical, and hydrological factors that contribute to this scenario, coupled with uncertainties that necessitate their careful selection using appropriate modelling techniques. In this study, the Dempster–Shafer Theory of Evidential Belief Function (DST-EBF) model (a coupling approach) was deployed to produce a groundwater prospectivity zonation (GWPZ) map for the study areas. The choice of the selected locations was informed by the continued dearth of water supplies, necessitating the need to discover new locations or re-appraise the existing ones for groundwater resource development. Furthermore, remote sensing, geological, field geophysical, and hydrological datasets that constituted GWCFs were integrated into a Geographic Information System (GIS) environment. Next, the computed values for the evidence of the mass functions (i.e., belief, disbelief, uncertainty, and plausibility) were combined using the Dempster–Shafer combination rule and then interpolated using the Inverse Distance Weighted (IDW) method. Subsequently, the GWPZ map was generated and classified into five zones, ranging from very low to high prospectivity zones. The GWPZ map was validated using cross-validation to estimate statistical errors, the receiver operating characteristic (ROC) curve, and the use of inverted resistivity models from the 2D electrical resistivity imaging surveys. All the metrics used for the validation provided good account for the classified GWPZ map. The north-eastern and the south-central parts are the most promising regions for groundwater, which could be harnessed for sustainable development through borehole drilling. Thus, the integration of the DST-EBF model and GIS for effective groundwater resources and uncertainty mapping was quite successful and impressively reliable.
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    Open Access
    Spatio-temporal variability assessment of chlorophyll-a in Lagos Lagoon for effective Lagos coastal transportation system
    (THE SCHOOL OF TRANSPORT, LAGOS STATE UNIVERSITY, OJO, LAGOS STATE, 2023-05) Hamid-Mosaku, A.I; Animashaun, B.M; Ewegbemi, O.O; Okolie, C.J.; Alademomi, A.S
    Most of the coastal lagoons and creeks in Lagos State are hubs of transportation and logistics networks for movement of goods and services. However, the coastal environment is marred with the problems of marine pollution and clogging of most waterways, particularly with respect to algal blooms and waterhyacinth. Thus, posing vulnerable threats to human activities, aquatic lives, and coastal transportation system (CTS). There exists a dearth of the connection of these water-hyacinth with coastal transportations in most studies. Moreover, conventional and remotely sensed data collections to detect these pollutants, their spatial dispersion, and potentials of using Landsat data in a geomatics environment are not fully explored. In this study, chlorophyll-a, a strong indicator of these pollutants was delineated using geomatics techniques for save CTS in Lagos State. Landsat 8 imageries of two seasons of the year were processed to detect and estimate the chlorophyll-a concentrations. Thereafter, maps portraying the chlorophyll-a distribution were produced, the dynamics of the chlorophyll-a concentration analyzed statistically and in the context of coastal navigable routes. Results showed the spatial spread of chlorophyll-a in the study areas is higher during the dry season. The results were validated by ground-truthing during satellite overpass. This implies that the techniques adopted are useful in mitigating these pollutants by marine stakeholders for sustainable CTS and marine resource management.