Tephra classification with machine learning [2024 INV#WO0000000109095]
Description
Layers of volcanic ash can be classified using a their geochemical components to link a the ash to the volcano it erupted from.
Detailed example
Identification of the source volcano of tephra layers in the form of prediction sets and probabilities eg {Katmai: .82, Augustine: 0.15, Redoubt: .03}
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
This model helps probabilistically identify distal tephra layers from throughout the region, helping us better understand its long-term record of explosive volcanism.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Data associated with this data release: https://dggs.alaska.gov/pubs/id/31091