Multi-Temporal Land Use and Land Cover Change Detection in Northern Nigeria's Frontline States: Geospatial Insights for Sustainable Development and Climate Adaptation

Land use and land cover (LULC) changes driven by anthropogenic activities are key contributors to local, regional, and global environmental transformations. Understanding and monitoring these changes have become essential for addressing environmental challenges. This study analyzed LULC dynamics from 1984 to 2022 in the frontline states of Northern Nigeria using remote sensing and Geographic Information Systems (GIS). Supervised classification algorithms were applied to satellite imagery, achieving an overall classification accuracy of 86.83%. The findings revealed significant trends: dense vegetation, water bodies, and bare land showed marked declines, while light vegetation and built-up areas exhibited substantial growth over the study period. The long-term annual rate of change for dense vegetation decreased from 0.77% ha⁻¹ to 6.25% ha⁻¹ (a reduction of 58% to 4.84%), and water bodies declined from 0.00% ha⁻¹ to 1.47% ha⁻¹. Conversely, light vegetation increased from 0.32% ha⁻¹ to 2.37% ha⁻¹, bare land from 7.8% ha⁻¹ to 6.12% ha⁻¹, and built-up areas from 0.93% ha⁻¹ to 3.36% ha⁻¹. A post-classification comparison using transition matrices revealed that approximately 53.36% of dense vegetation in 1984 transitioned to light vegetation by 2022. Additionally, 50.15% of bare land was converted to light vegetation, while 0.63% of light vegetation was transformed into built-up areas during the same period. These results offer reliable data on the extent and rate of LULC changes in Northern Nigeria, providing valuable insights for land management and policy formulation aimed at sustainable natural resource use. The study underscores the need for integrating these findings into regional planning and decision-making. Future research is recommended to explore the socio-economic and spatial drivers of LULC changes between 1984 and 2022 to better inform sustainable management strategies in Northern Nigeria and similar regions. The Nigerian government should develop and implement sustainable land-use plans that balance economic development with environmental conservation and also establish a robust environmental monitoring system to track land-use changes and enforce regulations.

Authors

Institutions

Publication Details

Journal
Journal of Geography Environment and Earth Science International
Published
2025-04-09
DOI
https://doi.org/10.9734/jgeesi/2025/v29i4882
Citations
1
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Temporal Land Use and Land Cover Change Detection in Northern Nigeria's Frontline States: Geospatial Insights for Sustainable Development and Climate Adaptation

L Sambe, John A. Oyedepo, Jubril Akanni Soaga, Babatunde Adeniyi Osunmadewa et al.
1 citations
Journal of Geography Environment and Earth Science International
Land Use and Ecosystem Services
1.11
article

Multi-Temporal Land Use and Land Cover Change Detection in Northern Nigeria's Frontline States: Geospatial Insights for Sustainable Development and Climate Adaptation

L Sambe, John A. Oyedepo, Jubril Akanni Soaga, Babatunde Adeniyi Osunmadewa, D.E. Oluyege, J.A. Jande, C. O. Adeofun
article en
1 citations

Abstract

Land use and land cover (LULC) changes driven by anthropogenic activities are key contributors to local, regional, and global environmental transformations. Understanding and monitoring these changes have become essential for addressing environmental challenges. This study analyzed LULC dynamics from 1984 to 2022 in the frontline states of Northern Nigeria using remote sensing and Geographic Information Systems (GIS). Supervised classification algorithms were applied to satellite imagery, achieving an overall classification accuracy of 86.83%. The findings revealed significant trends: dense vegetation, water bodies, and bare land showed marked declines, while light vegetation and built-up areas exhibited substantial growth over the study period. The long-term annual rate of change for dense vegetation decreased from 0.77% ha⁻¹ to 6.25% ha⁻¹ (a reduction of 58% to 4.84%), and water bodies declined from 0.00% ha⁻¹ to 1.47% ha⁻¹. Conversely, light vegetation increased from 0.32% ha⁻¹ to 2.37% ha⁻¹, bare land from 7.8% ha⁻¹ to 6.12% ha⁻¹, and built-up areas from 0.93% ha⁻¹ to 3.36% ha⁻¹. A post-classification comparison using transition matrices revealed that approximately 53.36% of dense vegetation in 1984 transitioned to light vegetation by 2022. Additionally, 50.15% of bare land was converted to light vegetation, while 0.63% of light vegetation was transformed into built-up areas during the same period. These results offer reliable data on the extent and rate of LULC changes in Northern Nigeria, providing valuable insights for land management and policy formulation aimed at sustainable natural resource use. The study underscores the need for integrating these findings into regional planning and decision-making. Future research is recommended to explore the socio-economic and spatial drivers of LULC changes between 1984 and 2022 to better inform sustainable management strategies in Northern Nigeria and similar regions. The Nigerian government should develop and implement sustainable land-use plans that balance economic development with environmental conservation and also establish a robust environmental monitoring system to track land-use changes and enforce regulations.

Journal of Geography Environment and Earth Science InternationalVol. 29(4)
Federal University of Agriculture, Abeokuta (NG), Joseph Sarwuan Tarka University Makurdi (NG)
Openalex Percentile: Top 26%
Land Use and Ecosystem Services
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.