Evaluating spatially enabled machine learning approaches to depth to bedrock mapping, Alberta, Canada
Steven M. Pawley,
Lisa Atkinson,
Daniel J. Utting
et al.
Abstract:Maps showing the thickness of sediments above the bedrock (depth to bedrock, or DTB) are important for many geoscience studies and are necessary for many hydrogeological, engineering, mining, and forestry applications. However, it can be difficult to accurately estimate DTB in areas with varied topography, like lowland and mountainous terrain, because traditional methods of predicting bedrock elevation often underestimate or overestimate the elevation in rugged or incised terrain. Here, we describe a machine l… Show more
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