Contributions of Space Missions to Better Tsunami Science: Observations, Models and Warnings
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology,Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s10712-020-09616-2.pdf
Reference183 articles.
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2. Adriano B, Xia J, Baier G, Yokoya N, Koshimura S (2019) Multi-source data fusion based on ensemble learning for rapid building damage mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia. Remote Sens 11:886. https://doi.org/10.3390/rs11070886
3. Ajo-Franklin JB, Dou S, Lindsey NJ et al (2019) Distributed acoustic sensing using dark fiber for near-surface characterization and broadband seismic event detection. Sci Rep 9:1328. https://doi.org/10.1038/s41598-018-36675-8
4. Ammon C, Kanamori H, Lay TA (2008) A great earthquake doublet and seismic stress transfer cycle in the central Kuril islands. Nature 451:561–565. https://doi.org/10.1038/nature06521
5. Angove M, Arcas D, Bailey R, Carrasco P, Coetzee D, Fry B, Gledhill K, Harada S, von Hillebrandt-Andrade C, Kong L, McCreery C, McCurrach S-J, Miao Y, Sakya AE, Schindelé F (2019) Ocean observations required to minimize uncertainty in global Tsunami forecasts, warnings, and emergency response. Front Mar Sci 6:350. https://doi.org/10.3389/fmars.2019.00350
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