MineTracker: Visual Analytics for Spatiotemporal Analysis of Mining Areas in the Brazilian Amazon

• Ana Luiza Nunes FGV
• Mauro Diaz FGV
• Jorge Poco FGV

Resumo

Conserving tropical forests is a global imperative, yet accelerating deforestation — driven in part by industrial mining — demands timely, fine-grained monitoring. Most existing platforms provide only coarse regional summaries, obscuring the emergence and growth of individual mines. We introduce MineTracker, a novel visual analytics tool that delivers site-level spatiotemporal insights into mining across the Brazilian Amazon. The system overlays annual mining footprints on key territorial boundaries (Indigenous lands, municipal limits) and applies time-series clustering to surface characteristic growth trajectories. Applied to Roraima, MineTracker revealed a pronounced surge of mining within legally protected Yanomami territory, illustrating its capacity to expose actionable trends and support evidence-based forest conservation and land governance decisions.

Palavras-chave: Forests, Visual analytics, Pipelines, Surge protection, Market research, Spatiotemporal phenomena, Trajectory, Satellite images, Surges, Monitoring