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Spatio-Temporal Dynamics and Forecasting of Urban Land Use and Land Cover Change in Maiduguri Using Google Earth Engine and Machine Learning

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Forecasts indicate that by 2035, bare land will dominate nearly 72% of Maiduguri, while built-up areas will increase significantly.
The overall accuracy of land cover classifications across assessed years reached 80%, indicating high reliability of the data collected.
Machine learning methods, particularly CART, were employed to analyze land use changes from 2000 to 2025 using Google Earth Engine.
The study emphasizes the need for sustainable land-use planning to address environmental and socio-economic risks in conflict-affected areas.

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Observational analysis quantified land use and cover changes in Maiduguri, highlighting future trends through machine learning.

A 2025 study studied this question.

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