BrazilDAM: A Benchmark dataset for Tailings Dam Detection

Understand

In this work we present BrazilDAM, a novel public dataset based on Sentinel-2 and Landsat-8 satellite images covering all tailings dams cataloged by the Brazilian National Mining Agency (ANM).

• The dataset was built using georeferenced images from 769 dams, recorded between 2016 and 2019.
• The time series were processed in order to produce cloud free images.
• The dams contain mining waste from different ore categories and have highly varying shapes, areas and volumes, making BrazilDAM particularly interesting and challenging to be used in machine learning benchmarks.