Abstract | ||
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We present the implementation of a global archive of Differential Synthetic Aperture Radar Interferometry (DInSAR) co-seismic defounation maps. The archive has been generated by automatically processing all the Copernicus Sentinel-1 data spanning about 300 significant (at least Mw > 5.5) earthquakes all over the Earth. An empirical relation between magnitude and epicenter depth was considered to limit the study to those earthquakes that can likely induce ground defounation. DInSAR processing has been carried out within a Cloud-Computing (CC) environment, specifically the Amazon Web Services, to benefit of high processing capacity. The generated DInSAR results are then made freely and openly available to the Solid Earth scientific community through the European Planet Observing System (EPOS) Research Infrastructure. |
Year | DOI | Venue |
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2020 | 10.1109/IGARSS39084.2020.9324075 | IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM |
Keywords | DocType | Citations |
Earthquake, DInSAR, Sentinel-1, Cloud Computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fernando Monterroso | 1 | 0 | 0.34 |
Z. Ali | 2 | 0 | 0.34 |
Manuela Bonano | 3 | 0 | 0.34 |
C. De Luca | 4 | 0 | 0.34 |
Vincenzo De Novellis | 5 | 0 | 0.34 |
Riccardo Lanari | 6 | 0 | 0.34 |
Michele Manunta | 7 | 0 | 0.34 |
M. Manzo | 8 | 0 | 0.34 |
Giovanni Onorato | 9 | 0 | 0.34 |
Emanuela Valerio | 10 | 0 | 0.34 |
Ivana Zinno | 11 | 0 | 0.34 |
Francesco Casu | 12 | 0 | 0.34 |