Research Article | | Peer-Reviewed

Application of the Categorical Change Detection Technique in Investigating the Trends of Urbanization in Wales, Southwest Britain

Received: 16 February 2025     Accepted: 8 March 2025     Published: 29 May 2025
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Abstract

This study, employing remote sensing and Geographic Information System (GIS) techniques, was carried out using the categorical change detection technique to analyze land use and land cover (LULC) dynamics in Wales, United Kingdom, from the year 1992 to 2019 with a view to understanding the trend of urbanization in the area. Using data from the Global Land Cover 1992 to 2019 image service accessible via ArcGIS Pro 3.0 Living Atlas, with a spatial resolution of 300 meters, the study revealed that grassland, being the predominant land cover in the area, decreased in coverage from 73.98% in 1992 to 72.16% in 2019, cropland decreased from 17.91% to 17.48%, all categories of forest increased from 5.30% to 5.93%, water bodies decreased from 1% to 0.7%, while bare areas remained constant at 0.2% in both years. Results also revealed a significant expansion of urban areas, growing from 1.81% to 3.48% of the land area. The mean percentage change across all counties is approximately 97.29%, indicating substantial urban expansion, while the median percentage change is 68.88%. Counties in South Wales experienced substantial urbanization influenced by coastal proximity, while Western and Northern regions showed significant percentage changes in urban areas but had smaller land area expansions. This research provides insights into the evolving landscape of Wales vital for understanding trends in land use, environmental changes, and urban expansion over this period and contributes valuable insights for sustainable urban planning, environmental preservation, and possible ecological impacts within the study area.

Published in American Journal of Remote Sensing (Volume 13, Issue 1)
DOI 10.11648/j.ajrs.20251301.13
Page(s) 32-47
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Geographic Information System, Global Land Cover, ArcGIS, Urban Expansion, Ecological Impacts, Counties

References
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Cite This Article
  • APA Style

    Chinwendu, E. J., Charles, A. C., Nkiru, N. C., Nchedo, E. N., Obiageli, N. J., et al. (2025). Application of the Categorical Change Detection Technique in Investigating the Trends of Urbanization in Wales, Southwest Britain. American Journal of Remote Sensing, 13(1), 32-47. https://doi.org/10.11648/j.ajrs.20251301.13

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    ACS Style

    Chinwendu, E. J.; Charles, A. C.; Nkiru, N. C.; Nchedo, E. N.; Obiageli, N. J., et al. Application of the Categorical Change Detection Technique in Investigating the Trends of Urbanization in Wales, Southwest Britain. Am. J. Remote Sens. 2025, 13(1), 32-47. doi: 10.11648/j.ajrs.20251301.13

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    AMA Style

    Chinwendu EJ, Charles AC, Nkiru NC, Nchedo EN, Obiageli NJ, et al. Application of the Categorical Change Detection Technique in Investigating the Trends of Urbanization in Wales, Southwest Britain. Am J Remote Sens. 2025;13(1):32-47. doi: 10.11648/j.ajrs.20251301.13

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  • @article{10.11648/j.ajrs.20251301.13,
      author = {Egereonu Jerry Chinwendu and Agoha Chidiebere Charles and Nwokeabia Charity Nkiru and Eluwa Ndidiamaka Nchedo and Njoku Joy Obiageli and Offodile Olisaemeka Paschal and Chilakpu Onyinyechi Caroline and Ahaji Victor Kelechi},
      title = {Application of the Categorical Change Detection Technique in Investigating the Trends of Urbanization in Wales, Southwest Britain
    },
      journal = {American Journal of Remote Sensing},
      volume = {13},
      number = {1},
      pages = {32-47},
      doi = {10.11648/j.ajrs.20251301.13},
      url = {https://doi.org/10.11648/j.ajrs.20251301.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20251301.13},
      abstract = {This study, employing remote sensing and Geographic Information System (GIS) techniques, was carried out using the categorical change detection technique to analyze land use and land cover (LULC) dynamics in Wales, United Kingdom, from the year 1992 to 2019 with a view to understanding the trend of urbanization in the area. Using data from the Global Land Cover 1992 to 2019 image service accessible via ArcGIS Pro 3.0 Living Atlas, with a spatial resolution of 300 meters, the study revealed that grassland, being the predominant land cover in the area, decreased in coverage from 73.98% in 1992 to 72.16% in 2019, cropland decreased from 17.91% to 17.48%, all categories of forest increased from 5.30% to 5.93%, water bodies decreased from 1% to 0.7%, while bare areas remained constant at 0.2% in both years. Results also revealed a significant expansion of urban areas, growing from 1.81% to 3.48% of the land area. The mean percentage change across all counties is approximately 97.29%, indicating substantial urban expansion, while the median percentage change is 68.88%. Counties in South Wales experienced substantial urbanization influenced by coastal proximity, while Western and Northern regions showed significant percentage changes in urban areas but had smaller land area expansions. This research provides insights into the evolving landscape of Wales vital for understanding trends in land use, environmental changes, and urban expansion over this period and contributes valuable insights for sustainable urban planning, environmental preservation, and possible ecological impacts within the study area.
    },
     year = {2025}
    }
    

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  • TY  - JOUR
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    AU  - Egereonu Jerry Chinwendu
    AU  - Agoha Chidiebere Charles
    AU  - Nwokeabia Charity Nkiru
    AU  - Eluwa Ndidiamaka Nchedo
    AU  - Njoku Joy Obiageli
    AU  - Offodile Olisaemeka Paschal
    AU  - Chilakpu Onyinyechi Caroline
    AU  - Ahaji Victor Kelechi
    Y1  - 2025/05/29
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    T2  - American Journal of Remote Sensing
    JF  - American Journal of Remote Sensing
    JO  - American Journal of Remote Sensing
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    PB  - Science Publishing Group
    SN  - 2328-580X
    UR  - https://doi.org/10.11648/j.ajrs.20251301.13
    AB  - This study, employing remote sensing and Geographic Information System (GIS) techniques, was carried out using the categorical change detection technique to analyze land use and land cover (LULC) dynamics in Wales, United Kingdom, from the year 1992 to 2019 with a view to understanding the trend of urbanization in the area. Using data from the Global Land Cover 1992 to 2019 image service accessible via ArcGIS Pro 3.0 Living Atlas, with a spatial resolution of 300 meters, the study revealed that grassland, being the predominant land cover in the area, decreased in coverage from 73.98% in 1992 to 72.16% in 2019, cropland decreased from 17.91% to 17.48%, all categories of forest increased from 5.30% to 5.93%, water bodies decreased from 1% to 0.7%, while bare areas remained constant at 0.2% in both years. Results also revealed a significant expansion of urban areas, growing from 1.81% to 3.48% of the land area. The mean percentage change across all counties is approximately 97.29%, indicating substantial urban expansion, while the median percentage change is 68.88%. Counties in South Wales experienced substantial urbanization influenced by coastal proximity, while Western and Northern regions showed significant percentage changes in urban areas but had smaller land area expansions. This research provides insights into the evolving landscape of Wales vital for understanding trends in land use, environmental changes, and urban expansion over this period and contributes valuable insights for sustainable urban planning, environmental preservation, and possible ecological impacts within the study area.
    
    VL  - 13
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Author Information
  • Department of Natural and Built Environment, Sheffield Hallam University, Sheffield, South Yorkshire, United Kingdom

  • Department of Geology, Federal University of Technology, Owerri, Nigeria

  • Department of Applied Geophysics, Nnamdi Azikiwe University, Awka, Nigeria

  • Department of Geology, Michael Okpara University of Agriculture, Umudike, Nigeria

  • Department of Geology, Federal University of Technology, Owerri, Nigeria

  • Department of Geology, Federal University of Technology, Owerri, Nigeria

  • Department of Physics/Electronics, Federal Polytechnic Nekede, Owerri, Nigeria

  • Department of Geology, Federal University of Technology, Owerri, Nigeria

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