Assessment of land use and land cover change detection for Argungu Urban: A Remote Sensing and GIS Approach

Urbanization is a significant driver of land use and land cover (LULC) changes, impacting environmental and socio-economic systems. Accurate monitoring and analysis of urban LULC changes are crucial for sustainable urban planning and management. This study employed remote sensing and Geographic Information Systems (GIS) techniques to detect and analyze LULC changes in Argungu urban, Nigeria, between 2013 and 2023. Landsat 8 images were classified using supervised classification, revealing significant changes: 9.5% expansion of built-up areas, -32.9% decrease in vegetation cover, and 23.3% increase in bare soil areas. The study highlights rapid urbanization and infrastructure development, potentially leading to environmental degradation. However, limitations include data quality, classification accuracy, and temporal resolution. Future research should integrate high-resolution imagery, additional data sources, and predictive models to enhance understanding of LULC changes. This study informs sustainable urban planning, environmental management, and policy-making in Argungu urban.

Authors

Publication Details

Journal
International Journal of Science and Research Archive
Published
2024-11-27
DOI
https://doi.org/10.30574/ijsra.2024.13.2.2278
Citations
1
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.38

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article

Assessment of land use and land cover change detection for Argungu Urban: A Remote Sensing and GIS Approach

Usman Lawal Gulma, Ishak Abdullahi Lawal
1 citations
International Journal of Science and Research Archive
Remote Sensing and Land Use
0.38
article

Assessment of land use and land cover change detection for Argungu Urban: A Remote Sensing and GIS Approach

Usman Lawal Gulma, Ishak Abdullahi Lawal
article en
1 citations

Abstract

Urbanization is a significant driver of land use and land cover (LULC) changes, impacting environmental and socio-economic systems. Accurate monitoring and analysis of urban LULC changes are crucial for sustainable urban planning and management. This study employed remote sensing and Geographic Information Systems (GIS) techniques to detect and analyze LULC changes in Argungu urban, Nigeria, between 2013 and 2023. Landsat 8 images were classified using supervised classification, revealing significant changes: 9.5% expansion of built-up areas, -32.9% decrease in vegetation cover, and 23.3% increase in bare soil areas. The study highlights rapid urbanization and infrastructure development, potentially leading to environmental degradation. However, limitations include data quality, classification accuracy, and temporal resolution. Future research should integrate high-resolution imagery, additional data sources, and predictive models to enhance understanding of LULC changes. This study informs sustainable urban planning, environmental management, and policy-making in Argungu urban.

International Journal of Science and Research ArchiveVol. 13(2)
Tertiary Education Trust Fund
Sustainable cities and communities
Openalex Percentile: Top 38%
Remote Sensing and Land Use
0.38
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Assessment of land use and land cover change detection for Argungu Urban: A Remote Sensing and GIS Approach — Usman Lawal Gulma, Ishak Abdullahi Lawal · International Journal of Science and Research Archive (2024) | TGRS Research Map | TGRS