Automatic Lithology Identification In Meteorite Impact Craters Using Machine Learning Algorithms

This article discusses the use of machine learning algorithms to predict lithologies in impact craters. It highlights the importance of lithological identification as a constraint in impact crater studies and explains how borehole geophysical data can be used to rapidly identify lithologies. The article also presents a proposed ML workflow and discusses its application in predicting lithologies in two boreholes within the Bosumtwi Impact Crater.