Deforestation & Land-Use Change: Artificial Intelligence Approaches for Detection, Attribution, and Predictive Monitoring Of Global Forest Loss
Abstract Deforestation and land-use change remain among the most consequential drivers of biodiversity loss, carbon emissions, and hydrological disruption worldwide. Traditional monitoring approaches, which rely on periodic satellite surveys and manual interpretation, are often too slow to support timely conservation i...