Machine Learning in Geosciences

Machine learning in geosciences involves using algorithms to analyze large amounts of Earth data—such as satellite images, seismic readings, and climate records—to identify patterns and make predictions. By learning from this data, these models can help scientists forecast weather events, discover mineral deposits, monitor environmental changes, and understand Earth processes more efficiently. Essentially, it allows for smarter, data-driven insights about the planet, improving research accuracy and decision-making without requiring explicit programming for each specific task.