Modelling and prediction of land use and land cover change using machine learning in the Michiru Forest Reserve, Southern Malawi

Key Points

• Modelling accurately predicts land use and land cover changes, enhancing resource management.
• Key metrics indicate a significant increase in predictive accuracy using machine learning techniques.
• Observational analysis in the Michiru Forest Reserve utilizes machine learning for modelling changes.
• Findings highlight the potential for improved forest management through predictive modelling techniques.