MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imagery

1 code implementation • 3 Nov 2023 • Ezra MacDonald, Derek Jacoby, Yvonne Coady

This paper presents MineSegSAT, a model that presents a novel approach to predicting environmentally impacted areas of mineral extraction sites using the SegFormer deep learning segmentation architecture trained on Sentinel-2 data.

Land Cover Classification Semantic Segmentation