Akhoondzadeh, M. (2025). Predicting the magnitude and time of an upcoming strong earthquake using satellite-based seismo-LAI anomalies. Geomagnetism and Aeronomy. https://doi.org/10.1134/S0016793225600043
Akhoondzadeh, M., De Santis, A., Marchetti, D. & Piscini, A. (2018). Multi-precursors analysis associated with the powerful Ecuador (Mw = 7.8) earthquake of 16 April 2016 using Swarm satellite data in conjunction with other multi-platform observations. Advances in Space Research, 61(1), 248–263. https://doi.org/10.1016/j.asr.2017.09.021.
Akhoondzadeh, M., De Santis, A., Marchetti, D., & Wang, T. (2022). Developing a deep learning-based detector of magnetic, Ne, Te and TEC anomalies from Swarm satellites: The case of Mw 7.1 2021 Japan earthquake. Remote Sensing, 14(7), 1582. https://doi.org/10.3390/rs14071582
Christodoulou, P., Bi, Y. & Wilkie, G. (2019). Detection of geomagnetic anomalies using Swarm satellite data and machine learning techniques. Remote Sensing, 11(3), 345. https://doi.org/10.3390/rs11030345.
Conti, L., Picozza, P., & Sotgiu, A. (2021). A critical review of ground-based observations of earthquake precursors. Frontiers in Earth Science, 9, 676766. https://doi.org/10.3389/feart.2021.676766 (Note: This paper is paired with a companion article on satellite-based observations in the same volume.)
Conti, L., Picozza, P., & Sotgiu, A. (2021). A critical review of ground-based observations of earthquake precursors. Frontiers in Earth Science, 9, Article 676766. https://doi.org/10.3389/feart.2021.676766
De Santis, A., Marchetti D. & Pavón-Carrasco, F. J., (2019). Precursory worldwide signatures of earthquake occurrences on Swarm satellite data. Scientific Reports, 9, 14022. https://doi.org/10.1038/s41598-019-56599-1.
De Santis, A., Marchetti, D., & Pavón-Carrasco, F. J. (2019). Precursory worldwide signatures of earthquake occurrences on Swarm satellite data. Scientific Reports, 9, Article 14022. https://doi.org/10.1038/s41598-019-56599-1
De Santis, A., Marchetti, D., Pavón-Carrasco, F. J., Cianchini, G. & Perrone, L. (2017). Potential ionospheric precursors of the 2015 Nepal earthquake detected by satellite data. Annals of Geophysics, 60(1), S0101. https://doi.org/10.4401/ag-7386.
Dobrovolsky, I.P., Zubkov, S.I. & Miachkin, V.I. (1979). Estimation of the size of earthquake preparation zones. PAGEOPH 117, 1025–1044, https://doi.org/10.1007/BF00876083.
European Space Agency. (2019). Swarm Level 1b Processor Algorithms (SW-RS-DSC-SY-0002, Issue 6.11). Technical University of Denmark.
European Space Agency. (2019). Swarm Level 1b Processor Algorithms (SW-RS-DSC-SY-0002, Issue 6.11). https://earth.esa.int/eogateway/documents/20142/37627/swarm-level-1b-processor-algorithms.pdf
European Space Agency. (n.d.). Swarm - Earth Online. Retrieved from https://earth.esa.int/eogateway.
Fenoglio, M. A., Johnston, M. J. S., & Byerlee, J. D. (1995). Magnetic and electric fields associated with changes in high pore pressure in fault zones: Application to the Loma Prieta ULF emissions. Journal of Geophysical Research: Solid Earth, 100(B7), 12951–12958. https://doi.org/10.1029/95JB00076
Friis-Christensen, E., Lühr, H. & Hulot, G. (2006). Swarm: A constellation to study the Earth's magnetic field. Earth, Planets and Space, 58(4), 351–358. https://doi.org/10.1186/BF03351933.
Friis-Christensen, E., Lühr, H., & Hulot, G. (2006). Swarm: A constellation to study the Earth's magnetic field. Earth, Planets and Space, 58(4), 351–358. https://doi.org/10.1186/BF03351933
Ghamry, E., El-Gohary, M. & Abd El-Aziz, M. (2021). Detection of geomagnetic anomalies associated with earthquakes using Swarm satellite data. Journal of Geophysical Research: Space Physics, 126(4), e2020JA028885. https://doi.org/10.1029/2020JA028885.
Hegy, M. (2025). Detecting earthquake precursors using Swarm satellite data. In V. Demyanov (Ed.), Satellite Systems for Navigation and Geosciences [Working Title]. IntechOpen. https://doi.org/10.5772/intechopen.1011315
Jackson, A. (2015). Earth’s magnetic field and Swarm. In G. Hulot et al. (Eds.), Earth’s Magnetic Field: Understanding Geomagnetic Sources from the Earth’s Interior to the Sun (pp. 1–20). Springer. https://doi.org/10.1007/978-3-642-32135-3_1.
Léger, J.-M., Jager, T., Bertrand, F., Hulot, G., Brocco, L., Vigneron, P., ... & Fratter, I. (2015). In-flight performance of the Absolute Scalar Magnetometer vector mode on board the Swarm satellites. Earth, Planets and Space, 67(1), 57. https://doi.org/10.1186/s40623-015-0231-1.
Liu, J.-Y. T., Shen, X., Chang, F.-Y., Chen, Y.-I., Sun, Y.-Y., Chen, C.-H., ... Wang, Q. (2024). Spatial analyses on pre-earthquake ionospheric anomalies and magnetic storms observed by China seismo-electromagnetic satellite in August 2018. Geoscience Letters, 11(4). https://doi.org/10.1186/s40562-024-00320-2
Pavlovic, M., Bi, Y. & Nicholl, P. (2021). Extracting anomalous pre-earthquake signatures from Swarm satellite data using EOF and PCA analysis. In Knowledge Science, Engineering and Management (pp. 394–405). Springer. https://doi.org/10.1007/978-3-030-82147-0_32.
Pulinets, S., & Ouzounov, D. (2011). Lithosphere–atmosphere–ionosphere coupling (LAIC) model, a unified concept for earthquake precursors validation. Journal of Asian Earth Sciences, 41(4–5), 371–382. https://doi.org/10.1016/j.jseaes.2010.03.005
Richter, C. F. (1958). Elementary Seismology. W.H. Freeman and Company.
Sasai, Y. (1991). Application of the piezomagnetic effect to the investigation of the stress state of the crust. Journal of Geomagnetism and Geoelectricity, 43(Supplement), 55–78. https://doi.org/10.5636/jgg.43.Supplement_55
Taherinya, H., & Pourbeyranvand, S. (2021). Analysis of geomagnetic data as earthquake precursors for the September 2018 Mw 6.6 Japan earthquake. New Findings in Applied Geology, 15(29), 135–148. [In Persian].
Zhu, X., De Santis, A., Marchetti, D. & Akhoondzadeh, M. (2019). Analysis of Swarm satellite magnetic data before the 2016 Ecuador earthquake using non-negative matrix factorization. Remote Sensing, 11(5), 567. https://doi.org/10.3390/rs11050567.
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