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...
| Hoofdauteurs: | , , , , , , , |
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| Andere auteurs: | |
| Formaat: | Journal Article |
| Taal: | English |
| Gepubliceerd in: |
2022
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| Onderwerpen: | |
| Online toegang: | https://hdl.handle.net/10356/160842 |