Abstract
The presence of glauconite in soils can be a challenge to foundation installation and performance. Glauconite mineral grains form under reducing conditions in shallow marine environments and have been found at offshore wind development sites in north-east USA. Quantifying glauconite content can therefore be critical, and traditional approaches are costly and time-consuming. We present an automated method to quantify glauconite content in soil samples through digital analysis of their microscope images. Results from the New York Bight are in line with those determined through traditional methods and are achieved more efficiently with lower user bias.
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