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MineSegSAT: An Automated System to Evaluate Mining Disturbed Area Extents from Sentinel-2 Imagery

Assessing the environmental impact of the mineral extraction industry plays a critical role in understanding and mitigating the ecological consequences of extractive activities. This paper presents MineSegSAT, a model that predicts environmentally impacted areas of mineral extraction sites using the SegFormer deep learning segmentation architecture trained on Sentinel-2 data.

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Ezra MacDonald, Derek Jacoby, Yvonne Coady (2024). Dataset: MineSegSAT: An Automated System to Evaluate Mining Disturbed Area Extents from Sentinel-2 Imagery. https://doi.org/10.57702/552q5lor

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Ezra MacDonald
More Authors	Derek Jacoby Yvonne Coady