Pre-Earthquake Ionospheric Perturbation Identification Using CSES Data via Transfer Learning

During the lithospheric buildup to an earthquake, complex physical changes occur within the earthquake hypocenter. Data pertaining to the changes in the ionosphere may be obtained by satellites, and the analysis of data anomalies can help identify earthquake precursors. In this paper, we present a d...

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Autores principales:	Pan Xiong, Cheng Long, Huiyu Zhou, Roberto Battiston, Angelo De Santis, Dimitar Ouzounov, Xuemin Zhang, Xuhui Shen
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	earthquake pre-earthquake anomalies CSES and DEMETER satellites ionospheric plasma transfer deep learning physical mechanisms Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/58fe2d9e1539444a85cb091e28c8700e
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Pre-Earthquake Ionospheric Perturbation Identification Using CSES Data via Transfer Learning

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