Advancements in Geohazard Investigations: Developing a Machine Learning Framework for the Prediction of Vents at Volcanic Fields Using Magnetic Data

Advancements in Geohazard Investigations: Developing a Machine Learning Framework for the Prediction of Vents at Volcanic Fields Using Magnetic Data

This study investigates the application of machine learning techniques for predicting volcanic vent locations based on aeromagnetic geophysical data. Magnetic data, known to reflect subsurface geological structures, presents a valuable source of information for understanding volcanic activity. Lever...

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Bibliographic Details
Main Authors: Murad Abdulfarraj, Ema Abraham, Faisal Alqahtani, Essam Aboud
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Geosciences
Subjects:
volcanic vents
magnetic
machine learning
random forest regression
geohazard
Online Access:https://www.mdpi.com/2076-3263/14/12/328
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