Multi-Sensor SAR Geodetic Imaging and Modelling of Santorini Volcano Post-Unrest Response

Papageorgiou, Elena; Foumelis, Michael; Trasatti, Elisa; Ventura, Guido; Raucoules, Daniel; Mouratidis, Antonios

doi:10.3390/rs11030259

Cited by 25 publications

(21 citation statements)

References 56 publications

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“…At this stage, it is important to keep in mind that deviations may be related to the differences in time span (i.e., contribution of post-seismic motion), acquisition geometry and incidence angle between the observations. For this subsequent investigation processing was performed using the GAMMA software packages (Wegnüller et al 2016 ), via a semi-automated chain (Papageorgiou et al 2019 ) running on a Virtual Machine, provided by ESA's RSS-CloudToolbox infrastructure (Marchetti et al 2012 ), having direct access to the Sentinel-1 archive of the Data and Information Access Services (DIAS) repository (specifically the CREODIAS; https://creodias.eu ). Figure S1 shows the entire number of generated differential interferograms.…”

Section: Rapid Responses To Samos Earthquakementioning

confidence: 99%

“…Since the initial development of spaceborne synthetic aperture radar (SAR) systems and the demonstration of the SAR interferometric capability, the technique has reached its maturity for the detection of earthquake-induced ground displacements (Cornou et al 2020;Bacques et al 2020), among other geohazards (Delgado Blasco et al 2019;Papageorgiou et al 2019;Aslan et al 2020;Cigna and Tapete 2020;Vassilakis et al 2020). In the last decade, Earth Observation (EO) satellite missions are providing a richness of data at improved spatial resolution and coverage, as well as reduced revisit time, while the latest generation of SAR sensors ensures the millimeter precision of interferometric measurements (Gisinger et al 2019).…”

Section: Spaceborne Imaging Geodesymentioning

confidence: 99%

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On rapid multidisciplinary response aspects for Samos 2020 M7.0 earthquake

et al. 2021

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Following the M 7.0 earthquake that struck the Greek island of Samos and Turkey's western coast, causing extensive damage and casualties, we combined existing knowledge geodatabases concerning historical seismicity and rupture zones with seismological and geodetic measurements as well as with modelling and in situ observations, to provide an assessment of rapid response to the seismic event. In this paper, we demonstrate that in the frame of the gradual provision of information from the individual scientific disciplines, taking into account their respective potential and limitations, a multidisciplinary approach is able to address more efficiently rapid response issues in order to allow effective preliminary interpretation of the earthquake activity, even within the first 24 h of the event. It focuses on the assessment of the timely provision of information by each discipline, evaluating the access to primary data sources as well as the maturity of the techniques in terms of accuracy and rapid data processing. Within a period of less than a week, several constraints were partially compensated for, allowing the delivery of more robust results and interpretation. The study highlights the readiness level of the various domains that has been significantly improved over the past years, including rapid seismological solutions, systematic availability of free and open Earth Observation data and on-demand online processing through dedicated platforms. Their combination with routinely applied inversion modelling and timely in situ observation is leading to improved operational response levels. Supplementary Information The online version contains supplementary material available at 10.1007/s11600-021-00578-6.

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Section: Rapid Responses To Samos Earthquakementioning

confidence: 99%

Section: Spaceborne Imaging Geodesymentioning

confidence: 99%

On rapid multidisciplinary response aspects for Samos 2020 M7.0 earthquake

et al. 2021

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“…Santorini presented a source inflation process with an e-folding of 0.28 years for the period October 2011-August 2012 (Parks et al, 2015). Then, its subsidence rates increased in the post-unrest period 2012-2017, suggesting the superimposition of various deformation sources (Papageorgiou et al, 2019). The Okmok inflation episode during the period May 2002 -September 2007 had an e-folding of 1.24 years.…”

Section: Time-scales Of Inter-eruptive Uplift Signals: Three Sisters and Other Volcanoesmentioning

confidence: 98%

Time-Scales of Inter-Eruptive Volcano Uplift Signals: Three Sisters Volcanic Center, Oregon (United States)

et al. 2021

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A classical inflation-eruption-deflation cycle of a volcano is useful to conceptualize the time-evolving deformation of volcanic systems. Such a model predicts accelerated uplift during pre-eruptive periods, followed by subsidence during the co-eruptive stage. Some volcanoes show puzzling persistent uplift signals with minor or no other geophysical or geochemical variations, which are difficult to interpret. Such temporal behaviors are usually observed in large calderas (e.g., Yellowstone, Long Valley, Campi Flegrei, Rabaul), but less commonly for stratovolcanoes. Volcano deformation needs to be better understood during inter-eruptive stages, to assess its value as a tool for forecasting eruptions and to understand the processes governing the unrest behavior. Here, we analyze inter-eruptive uplift signals at Three Sisters, a complex stratovolcano in Oregon (United States), which in recent decades shows persistent inter-eruptive uplift signals without associated eruptive activity. Using a Bayesian inversion method, we re-assessed the source characteristics (magmatic system geometry and location) and its uncertainties. Furthermore, we evaluate the most recent evolution of the surface deformation signals combining both GPS and InSAR data through a new non-subjective linear regularization inversion procedure to estimate the 26 years-long time-series. Our results constrain the onset of the Three Sisters volcano inflation to be between October 1998 and August 1999. In the absence of new magmatic inputs, we estimate a continuous uplift signal, at diminishing but detectable rates, to last for few decades. The observed uplift decay observed at Three Sisters is consistent with a viscoelastic response of the crust, with viscosity of ∼1018 Pa s around a magmatic source with a pressure change which increases in finite time to a constant value. Finally, we compare Three Sisters volcano time series with historical uplift at different volcanic systems. Proper modeling of scaled inflation time series indicates a unique and well-defined exponential decay in temporal behavior. Such evidence supports that this common temporal evolution of uplift rates could be a potential indicator of a rather reduced set of physical processes behind inter-eruptive uplift signals.

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“…Even though the evolution of these platforms cannot yet be easily projected into the future, since they are still heavily supported by space agencies, they count already several success stories in publishing scientific results (Galve et al 2017;Papageorgiou et al 2019), supporting geohazards related initiatives (ESA EO4SD project, https :// www.eo4sd -drr.eu/news/gover nment -indon esia%E2%80%99s-users -eo-produ cts-disas ter-risk-reduc tion) and providing rapid and valuable information in response to geohazards events (example of the 2019 M5 earthquake in mainland France, https ://www.esa. int/Appli catio ns/Obser ving_the_Earth /Coper nicus /Senti nel-1/Frenc h_earth quake _fault _mappe d).…”

Section: The New Context Of Satellite-based Observationsmentioning

confidence: 99%

Space-Based Earth Observations for Disaster Risk Management

et al. 2020

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As space-based Earth observations are delivering a growing amount and variety of data, the potential of this information to better support disaster risk management is coming into increased scrutiny. Disaster risk management actions are commonly divided into the different steps of the disaster management cycle, which include: prevention, to minimize future losses; preparedness and crisis management, often focused on saving lives; and post-crisis management aiming at re-establishing services supporting human activities. Based on a literature review and examples of studies in the area of coastal, hydro-meteorological and geohazards, this review examines how space-based Earth observations have addressed the needs for information in the area of disaster risk management so far. We show that efforts have essentially focused on hazard assessments or supporting crisis management, whereas a number of needs still remain partly fulfilled for vulnerability and exposure mapping, as well as adaptation planning. A promising way forward to maximize the impact of Earth observations includes multi-risk approaches, which mutualize the collection of time-evolving vulnerability and exposure data across different hazards. Opportunities exist as programmes such as the Copernicus Sentinels are now delivering Earth observations of an unprecedented quality, quantity and repetitiveness, as well as initiatives from the disaster risk science communities such as the development of observatories. We argue that, as a complement to this, more systematic efforts to (1) build capacity and (2) evaluate where space-based Earth observations can support disaster risk management would be useful to maximize its societal benefits.

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Multi-Sensor SAR Geodetic Imaging and Modelling of Santorini Volcano Post-Unrest Response

Cited by 25 publications

References 56 publications

On rapid multidisciplinary response aspects for Samos 2020 M7.0 earthquake

On rapid multidisciplinary response aspects for Samos 2020 M7.0 earthquake

Time-Scales of Inter-Eruptive Volcano Uplift Signals: Three Sisters Volcanic Center, Oregon (United States)

Space-Based Earth Observations for Disaster Risk Management

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