Prof Oluibukun Gbenga Ajayi

Biography

Prof Oluibukun earned a Bachelor’s degree from the Federal University of Technology, Minna, Nigeria, with a First Class Honours and a Master’s degree from the University of Lagos, Nigeria, with Distinction, both in Surveying and Geoinformatics. He also holds a PhD in Surveying and Geoinformatics from the Federal University of Technology, Minna, Nigeria, where he worked as a lecturer for over 9 years before joining the Department of Land and Spatial Science in 2022 as a Senior Lecturer. He has won different research grants and has co-authored over 80 scientific articles. He is the recipient of the prestigious Len Curtis Award 2018, which was jointly presented by Taylor and Francis Inc. and the Remote Sensing and Photogrammetry Society (RSPSoc), United Kingdom, for an outstanding technical paper published in the International Journal of Remote Sensing, which was adjudged the best scientific paper published in the open literature of remote sensing during the year 2017. In 2018, He was a visiting scholar to the Faculty of Environment and Technology, the University of the West of England, Bristol, United Kingdom. He has received numerous national and international awards, including the dual 2021 Federal University of Technology, Minna Vice Chancellor’s awards for invaluable and exceptional contributions to the development of the University. He also received the Professor Hilary Inyang National Young Scientist’s Prize in Geoenvironmental Sciences, 2022, presented by the National Young Academy of the Nigerian Academy of Science. He was also the Faculty (Faculty of Engineering and the Built Environment) and the Institution's (NUST) Established Researcher of the year 2024 and 2025. He is the Principal Investigator of the Geospatial Intelligence Research Lab.

Professional Affiliation 

• International Federation of Surveyors (FIG)
• Registered Surveyor, Surveyors Council of Nigeria (2944)
• Corporate Member, Nigerian Institution of Surveyors (NIS/FM/2531)
• Individual Member, International Society for Photogrammetry and Remote Sensing

Research Focus Areas

• Digital Photogrammetry and Remote Sensing Applications
• Geospatial Modelling
• Application of Artificial Intelligence in Geoenvironmental Sciences

Teaching

Undergraduate

• GIS Programming (GIP710S)
• Programming for Geoinformatics (PGI520S)
• Remote Sensing 1 (RES511S)
• Remote sensing 2 (RES612S)

Postgraduate

• Environmental Remote Sensing (ERS810S)
• Research Methodology (GRM921S)
• Spatial Analytical Methods (SAM911S)

Community Development Activities

• Institutional Point of Contact, United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM) Academic Network.
• Member, Windhoek Climate Change Steering Committee, Khomas Region, Namibia (2025 to Date)
• Member, Steering Committee for the Global CleanTech Innovation Programme, Namibia (2025 to date). The Global Cleantech Innovation Programme (GCIP) in Namibia is a United Nations Industrial Development Organisation (UNIDO)-led initiative implemented by the Environmental Investment Fund (EIF) of Namibia, supported by the Global Environment Facility (GEF). 
• Editorial Board Member: Journal of Environment and Development, SAGE Publishing
• Editorial Board Member: Scientific Reports, Nature.
• Member of the Programme Advisory Committee for the PhD Programme in Applied Mathematics, Namibia University of Science and Technology (2025 to date).
• Member of the Programme Advisory Committee for the PhD Programme in Applied Statistics, Namibia University of Science and Technology (2025 to date).
• Member of the Programme Advisory Committee for the Bachelor of Geoinformation Technology, Namibia University of Science and Technology (2025 to date).
• Mapping of informal settlements in Okhandja
• Member, Network of Excellence on Land Governance in Africa (NELGA, Southern Africa)
   

Selected Journal Publications

1. Clemente, M. H., Amwele, H. R., Fohrer, N., Smit, E., Jacobs, F., Muacahila, A. N. S., & Ajayi, O. G. (2026). Suitability assessment of water for human consumption using water quality index along the Cubango-Kavango River, in Angola and Namibia. Physics and Chemistry of the Earth, Parts A/B/C, 104320. https://doi.org/10.1016/j.pce.2026.104320

2. Mutale M, and Ajayi O.G. (2026). Gender responsive spatial analysis of climate impacts on land access in Windhoek. African Journal on Geospatial Sciences and Land Governance. African Journal on Land Policy and Geospatial Sciences, 9(2), 308–339. https://doi.org/10.48346/IMIST.PRSM/ajlp-gs.v9i2.63096 

3. Adesina, E. A., Ajayi, O. G., Odumosu, J. O., & Taiwo, E. O. (2026). Dynamic suitability-weighted CA-Markov model for projecting urban growth and thermal impacts: a case study of Abuja. Nova Geodesia, 6(1), 475. https://doi.org/10.55779/ng61475 

4. Benade, R. T., and Ajayi, O. G. (2025). Spectral Indices and Principal Component Analysis for Lithological Mapping in the Erongo Region, Namibia. Applied Sciences, 15(24), 13251. https://doi.org/10.3390/app152413251. 

5. Ajayi O. G., and Benade, R. T. (2025). Assessing Drought Susceptibility and Risk using Dual Multi-Criteria Decision-Making Models. South African Journal of Geomatics. 14(2), July 2025. 333-359. https://www.sajg.org.za/index.php/sajg/article/view/1225.

6. Adesina, E. A., Ajayi, O. G., Eyo, E. E., Odumosu, J. O., and Akpur, C. (2025). Multi-temporal Analysis of Shoreline Dynamics and Prediction Using Remote Sensing and Geographic Information System Approaches. Submitted to Advances in Geodesy and Geoinformation. 74(2), 21 November 2025.  https://doi.org/10.24425/agg.2025.154155

7. Iilonga, S. and Ajayi, O. G. (2025). Implementation of Deep Learning Algorithms to Model Agricultural Drought towards Sustainable Land Management in Namibia's Omusati Region. Land Use Policy. 156, https://doi.org/10.1016/j.landusepol.2025.107593

8. Adesina, E. A., Odumosu, J. O., Ajayi, O. G., Musa, A. A., Onuigbo, I. C., and Adesiji, A. R. (2025). Evaluating the impact of the spatial resolution of digital elevation models on flood modelling. Water Resources Management. https://doi.org/10.1007/s11269-025-04206-6 

9. Benade, R., Kamosho, A., Makando, I. L., and Ajayi, O. G. (2025). Multi-decadal change detection of coastal dune landscapes in Namibia using different supervised image classification algorithms. Nova Geodesia.  5(3):378. https://doi.org/10.55779/ng53378 

10. Ramafikeng, M., Ajayi, O., & Adeleke, A. (2025). A web-based decision support tool for multifarious renewable energy systems. Renewable Energy Focus, 54, 100702. https://doi.org/10.1016/j.ref.2025.100702 

11. Ajayi, O. G., Aboagye, P. D., Adegebo, B. O., and Popoola, A. A. (2025). Editorial: Climate Change and Local Economies. Journal of Inclusive Cities and Built Environment. 3(5), iii-iv. 10.54030/2788-564X/2025/spi3v5ed. https://ojs.sabinet.co.za/index.php/journal_of_inclusive_cities/article/view/3221

12. Ajayi, O G., Ibrahim, P. O., Adegboyega, S. O. (2024). Effect of Hyperparameter Tuning on the Performance of Yolov8 for Multi-Crop Classification on UAV images. Applied Sciences. 14(13):5708. https://doi.org/10.3390/app14135708 

13. Ajayi, O.G., Iwendi, E, Adetunji, O. O. (2024). Optimizing Crop Classification in Precision Agriculture using AlexNet and UAV Hyperspectral Imagery. Technology in Agronomy. 4: e011. https://doi.org/10.48130/tia-0024-0009 

14. Adesina, E. A., Ajayi, O G., Odumosu, J. O (2024).  Soil loss risk assessment using revised universal soil loss equation (RUSLE) and geographical information system (GIS) approach. Advanced GIS. 4 (2), 42-53

15. Adesina, E. A., Ajayi, O G., Odumosu, J. O., Kolade, T. (2024). Mapping Soil Erosion Susceptibility: A Comprehensive Multi-Criteria Analysis Using Remote Sensing and GIS. Environmental, Technology and Science Journal (ETSJ). 15(1), 35-45. https://dx.doi.org/10.4314/etsj.v15i1.4 

16. Ajayi, O. G., & Nwadialor, I. J. (2024). Accuracy assessment of the effect of different feature descriptors on the automatic co-registration of overlapping images. Geodesy and Cartography, 50(1), 8–19. https://doi.org/10.3846/gac.2024.18199 

17. Adesina, E., Ajayi, O., Odumosu, J., & Illah, A. (2024). Assessing the risk of soil loss using geographical information system (GIS) and the revised universal soil loss equation (RUSLE). Advanced GIS, 4(2), 42–53. Retrieved from https://publish.mersin.edu.tr/index.php/agis/article/view/1350 

18. Ajayi, O. G. and Daud, M. O. (2024). Assessment of Generative Adversarial Networks for Cloud Occlusion Removal in Remotely Sensed Images. Arabian Journal of Geosciences. 17, 141 https://doi.org/10.1007/s12517-024-11939-y

19. Vallejo-Orti, M., Anders, K., Ajayi, O., E., Bubenzer, O., and Höfle, B. (2024). Integrating and optimizing multi-user digitizing actions for mapping gully footprints using a combined Kalman filter and machine learning approach. ISPRS Open Journal of Photogrammetry and Remote Sensing, 12, 100059. https://doi.org/10.1016/j.ophoto.2024.100059

20. Ajayi, O. G and Olufade O. O. (2023). Drone-based crop type identification with convolutional neural networks: an evaluation of the performance of RESNET architectures. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1/W1-2023, 991–998, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-991-2023 

21. Ajayi, O. G., Ogundele, B. S. and Aleji, G. A. (2023). Performance evaluation of different selected UAV image processing software on building volume estimation. Advances in Geodesy and Geoinformation 72(1), https://doi.org/10.24425/agg.2023.144591. 

22. Ajayi, O. G., Ashi, J. and Guda, B (2023). Performance evaluation of YOLO v5 for automatic weed and crop type classification on drone acquired images. Smart Agricultural Technology, 5, 

23.  https://doi.org/10.1016/j.atech.2023.100231

24. Ajayi, O. G., and Ashi, J. (2023). Effect of varying training epochs of faster region-based convolutional neural network on the accuracy of an automatic weed classification scheme. Smart Agricultural Technology, 3. https://doi.org/10.1016/j.atech.2022.100128 

25. Ajayi, O. G., Nwadialor, I. J., Odumosu, J. O., Adetunji, O. O., and Abdulwasiu, I. O. (2022). Assessment and delineation of groundwater potential zones using integrated geospatial techniques and analytic hierarchy process. Applied Water Science, 12(276). https://doi.org/10.1007/s13201-022-01802-4.

26. Ajayi, O. G., Opaluwa, Y. D., Ashi, J. and Zikirullahi, W.M. (2022). Applicability of artificial neural network for automatic crop type classification on UAV-based images. Environmental Technology and Science Journal. 13(1), 57-72. https://doi.org/10.4314/etsj.v13i1.5
    

A full and updated list of publications can be found in the links below:

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