• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2022, Volume: 15, Issue: 34, Pages: 1666-1674

Original Article

Monitoring Land Cover Change in Katsina Urban Area, Nigeria (1999 -2017) Associated with Urbanization: A Pixel-based Individuality Forms of Image A nalysis

Received Date:24 February 2022, Accepted Date:09 July 2022, Published Date:30 August 2022

Abstract

Objectives: To study the rapidly changing urban area of Katsina in Katsina State; Nigeria, to track Land Cover Changes (LCC) and to identify possible impacts of urbanization. Methods: Landsat thematic mapper (TM), enhance thematic mapper (ETM +) images 30m resolution from the United States Geological Survey (USGS) acquired from Jos National Centre for Remote Sensing (NCRS). Satellite images from 1999 and 2017 were used to create a past and current picture of the LCC in the urban area of Katsina. The images were classified using the pixel identity forms of the digital organization of the monitored images with a maximum-likelihood classifier algorithm based on the multispectral image to understand the spectral data presented in the image of the urban area of Katsina. These images were then compared with the modifications that occurred among the dates of images. Findings: The findings on study area showed that the built-up area had increased and added 4.99 square kilometres (percentage change of 22.22) between 1987 -1999. The class of vegetation/agricultural land cover also increased and added 10.4 square kilometres (percent change of 165.8) between 1987 -1999. The Bare-soil had decreased and lost 15.39 square kilometres (percent change of 25.29) between 1987 -1999. Conclusion: Land cover changes exist, either legal or illegal, which indicate the rapid rate of population growth and urbanization in the urban area of Katsina. It also revealed the capability of RS/GIS for managing large information that made it suitable for these types of study.

Keywords: Analysis; Based on the pixel individuality; Land Cover Changes (LCC); Monitoring and Urbanisation

References

  1. Fox SR, Bloch R, Ojo A, Monroy J. Urbanisation and Urban Expansion in Nigeria. Urbanisation Research Nigeria. 2015.
  2. Winkler K, Fuchs R, Rounsevell M. Global Land Use Changes are four times bigger than previously projected. Nat Commun . 2021;2501. Available from: https://doi.org/10.1038/s41467-021-22702-2
  3. National Population Commission. Population Census Report. 2006.
  4. Zakka SD, Permana AS, Majid MR, Danladi A. Urban Greenery a pathway to Environmental Sustainability in Sub Saharan Africa: A Case of Northern Nigeria Cities. International Journal of Built Environment and Sustainability. 2017;4(3):180–189. Available from: http://doi.org/10.11113/ijbes. v4. n3.211
  5. Mariani F, Zambon I, Salvati L. Population matters: Identifying metropolitan sub-centers from diachronic density-distance curves, 1960-2010. Sustainability (Switzerland). 2018;10(12). Available from: https://doi.org/10.3390/su10124653
  6. Gollin D, Jedwab R, Vollrath D. Urbanization with and without industrialization. Journal of Economic Growth. 2016;21(1):35–70. Available from: https://doi.org/10.1007/s10887-015-9121-4
  7. Shehu J. Urbanization in the 20th Century : Some Reflections on Katsina Town, Nigeria. Journal of the Geographical Association of Tanzania. 2015;36(1):36–39.
  8. Abdulrahman IH, Sawa BA, Musa M. Assessment of Climate Change Consciousness & Risk Perception Amongst Rural People in Funtua Local Government Area. International Journal of Trend in Scientific Research and Development. 2019;(3) 29–37. Available from: https://doi.org/10.31142/ijtsrd20289
  9. Toure SI, Stow DA, Shih, Weeks JHC, Lopez-Carr. Land cover and land use change analysis using multi-spatial resolution data and object-based image analysis. Remote Sensing of Environment. 2018;210(1):259–268. Available from: https://doi.org/10.1016/j.rse.2018.03.023
  10. Liu X, Hu G, Chen Y, Li X, Xu X, Li S, et al. High-Resolution Multi-Temporal Mapping of Global Urban Land Using Landsat Images Based on the Google Earth Engine Platform. Remote Sensing of Environment. 2018;209:227–239. Available from: https://doi.org/10.1016/j.rse.2018.02.055
  11. Noorloos FV, Kloosterboer M. Africa’s new cities: The contested future of urbanisation. Urban Studies. 2018;55(6):1223–1241. Available from: http//doi.org/ 10.1177/0042098017700574
  12. Wu H, Lin A, Xing X, Song D, Yan L. Identifying essential driving factors of urban LUC from global land cover products and POI data X. International Journal of Applied Earth Observation and Geoinformation. 2021;103. Available from: https://doi.org/10.1016/j.jag.2021.102
  13. Koko AF, Yue W, Abubakar GA, Hameda R, Alabsi AAN. Analysing Urban Growth & Land Cover Change Scenario in Lagos, Nigeria Using Multi-Temporal Remote Sensing Data & GIS, Mitigating flooding. Analysing Urban Growth & Land Cover Change Scenario in Lagos, Nigeria Using Multi-Temporal Remote Sensing Data & GIS, Mitigating flooding, Geomatics, Natural Hazards &Risk. 2021;12(1). Available from: https://doi.org/10.1080/19475705.2021.1887940

Copyright

© 2022 Ibrahim et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Indian Society for Education and Environment (iSee)

DON'T MISS OUT!

Subscribe now for latest articles and news.