Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by Machine Learning

Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by Machine Learning

The low-altitude satellite DEMETER recorded many cases of ionospheric perturbations observed on occasion of large seismic events. In this paper, we explore 16 spot-checking classification algorithms, among which, the top classifier with low-frequency power spectra of electric and magnetic fields was...

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Bibliographic Details
Main Authors: Pan Xiong, Cheng Long, Huiyu Zhou, Roberto Battiston, Xuemin Zhang, Xuhui Shen
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
earthquake
seismic precursors
DEMETER satellites
electromagnetic field
machine learning
Online Access:https://www.mdpi.com/2072-4292/12/21/3643

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