Current Issue

Vol. 2 No. 2 (2025)
View Vol. 2 No. 2 (2025)
Published: 2025-06-15

Articles

  • A Geospatial Assessment of Urban Transportation Systems in Ibadan North Local Government Area, Oyo State

    A. A. Akinpelu, I. A. Amusa, O. M. Akindiya, C. S. Nmeregini
    1 - 18
    DOI: https://doi.org/10.5281/zenodo.15667031

  • Comparative Analysis and Accuracy Assessments of Terrain Heights Determination Towards Effective and Accurate Heights Measurements in Construction Works

    J. A. Qaadri, A. O. Alagbe, S. O. Olaosegba, M. O. Okegbola, B. I. Ajisafe
    19 - 29
    DOI: https://doi.org/10.5281/zenodo.15667280

  • Spatio-Temporal Monitoring of Desertification in Sokoto State Using Remote Sensing and Vegetation Indices

    V. Nnam, J. Odumosu, S. Lamidi, A. B. Aransiola
    30 - 49
    DOI: https://doi.org/10.5281/zenodo.15667752

  • Investigating the Altitude-Dependent Accuracy of Depths Derived by Colour Ratio from Unmanned Aerial System (UAS)-Multispectral Imageries

    E. Okon, M. N. Ono, F. Onyeagoro
    50 - 77
    DOI: https://doi.org/10.5281/zenodo.15668026

  • Utilising a unique method to monitor Large Oil Storage Tanks' deformations via Interferometric Synthetic Aperture Radar (InSAR)

    G. O. Nwodo, N. O. Alohan, J. O. Ejikeme
    78 - 102
    DOI: https://doi.org/10.5281/zenodo.15668223

  • Analysing the Environmental Consequences of Urbanization on Climate Change in Kaduna State, Nigeria

    S. M. Oyelami, T. M. Idowu, M. Akinremi
    103 - 118
    DOI: https://doi.org/10.5281/zenodo.15670828

  • Vulnerability Mapping for Methane Emissions and Mitigation Strategies in Lokoja Metropolis

    D. u. Agada, E. P. Guma, O. Z. Salau
    119 - 132
    DOI: https://doi.org/10.5281/zenodo.15675423

  • Application of Convolutional Neural Network (CNN) in Identification and Mapping of Urban Road Network in Parts of Benin City, Nigeria Using Remotely Sensed Imagery

    I. O. Ovu, J. I. Igbokwe, J. O. Ejikeme, A. J. Adeboboye
    133 - 147
    DOI: https://doi.org/10.5281/zenodo.15709354

  • Comparative Analysis of Machine Learning Techniques in Identification and Mapping of Urban Road Network with Remotely Sensed Imagery in Parts of Benin City, Nigeria

    I. O. Ovu, J. I. Igbokwe, J. O. Ejikeme, A. J. Adeboboye
    148 - 168
    DOI: https://doi.org/10.5281/zenodo.15709494

  • Geometric Geoid Model Determination for Camp David Estate, Centenary City, Abakaliki, Ebonyi State

    C. U. Onwuzuligbo, E. O. Elebe
    169 - 186
    DOI: https://doi.org/10.5281/zenodo.15711681

  • Flood Risk Assessment of Trademore Estate and its Environs in The Federal Capital Territory, Abuja, Nigeria

    K. Fajimi, S. O. Ogunlade
    187 - 200
    DOI: https://doi.org/10.5281/zenodo.15722441

  • Quantity Estimation of Underground Mass Deposit using Multi-Resolution Technique

    K. S. Ilesanmi, H. Tata, I. U. Nzelibe, T. O. Idowu
    201 - 212
    DOI: https://doi.org/10.5281/zenodo.15722690

  • Evaluating Water Scarcity Vulnerability Levels in Rural Communities of Iseyin Local Government Area, Oyo State, Nigeria: An Integrated and Multidimensional Approach

    A. A. Olayiwola, S. O. Ogunlade, K. Fajimi
    213 - 227
    DOI: https://doi.org/10.5281/zenodo.15725750

  • Visibility Analysis for Surveillance Purposes in Modibbo Adama University, Yola, Adamawa State, Nigeria

    F. D. Emmanuel, J. D. Edan, E. U. Peter, O. G. Ishola
    228 - 239
    DOI: https://doi.org/10.5281/zenodo.15726866

  • A GIS-Based Spatial Distribution Analysis of Road Traffic Accident Black Spots in Zaria, Kaduna State

    A. J. Maliki, D. Rifkatu, A. Yunusa
    240 - 252
    DOI: https://doi.org/10.5281/zenodo.15727380
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Frequency: Biannually    | Languages: English | Publisher: Department of Surveying and Geoinformatics, Faculty of Environmental Sciences, Nnamdi Azikiwe University Awka, Anambra State, Nigeria.

Authors are invited to submit to this journal. An editor will assess all submissions to determine whether they meet the aims and scope of this journal. Those considered a good fit will be sent for peer review before deciding whether they will be accepted or rejected.