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

Ana Luiza Nunes, Mauro Diaz, Jorge Poco
Graphics, Patterns and Images (SIBGRAPI)
MineTracker: Visual Analytics for Spatiotemporal Analysis of Mining Areas in the Brazilian Amazon

Main components of MineTracker, a visual analytics platform that provides site-specific spatiotemporal insights into mining activities throughout the Brazilian Amazon.

Publication Details

Venue
Graphics, Patterns and Images (SIBGRAPI)
Year
2025
Publication Date
September 14, 2025

Materials

Abstract

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 timeseries 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 evidencebased forest conservation and land governance decisions.

Cite this publication (BIBTEX)

@article{2025-MineTracker, 
  title={MineTracker: Visual Analytics for Spatiotemporal Analysis of Mining Areas in the Brazilian Amazon}, 
  author={Ana Luiza Nunes and Mauro Diaz and Jorge Poco}, 
  journal={Graphics, Patterns and Images (SIBGRAPI) }, 
  year={2025}, 
  url={null},
  date={2025-09-14}
}