Using Support Vector Machine (SVM) with GPS Ionospheric TEC Estimations to Potentially Predict Earthquake Events

Using Support Vector Machine (SVM) with GPS Ionospheric TEC Estimations to Potentially Predict Earthquake Events

There are significant controversies surrounding the detection of precursors that may precede earthquakes. Natural hazard signatures associated with strong earthquakes can appear in the lithosphere, troposphere, and ionosphere, where current remote sensing technologies have become valuable tools for...

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Bibliographic Details
Main Authors: Saed Asaly, Lee-Ad Gottlieb, Nimrod Inbar, Yuval Reuveni
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
earthquake prediction
natural hazards
SVM
machine learning
TEC
Online Access:https://www.mdpi.com/2072-4292/14/12/2822

Internet

https://www.mdpi.com/2072-4292/14/12/2822

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