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Technical Note

Radiant Power Patterns Inferred from Remote Sensing Using a Cloud Computing Platform, during the 2021 Fagradalsfjall Eruption, Iceland

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Department of Applied Earth Sciences, Faculty of ITC, University of Twente, P.O. Box 6, 7500 AA Enschede, The Netherlands
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Nordic Volcanological Center, Institute of Earth Sciences, University of Iceland, Sturlugata 7, 102 Reykjavík, Iceland
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Institute of Earth Sciences, University of Iceland, Sturlugata 7, 102 Reykjavík, Iceland
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Faculty of Earth Sciences, University of Iceland, Sturlugata 7, 102 Reykjavík, Iceland
*
Author to whom correspondence should be addressed.
Academic Editor: Ciro Del Negro
Remote Sens. 2022, 14(18), 4528; https://doi.org/10.3390/rs14184528
Received: 5 July 2022 / Revised: 19 August 2022 / Accepted: 7 September 2022 / Published: 10 September 2022
The effusive eruption at Mt. Fagradalsfjall began on 19 March 2021 and it ended a period of about 800 years of volcano dormancy on the Reykjanes Peninsula. To monitor and evaluate power output of the eruption, we compiled in total 254 freely available satellite images from Terra MODIS and Landsat 8 OLI-TIRS via the Google Earth Engine platform over a six-month period. This cloud computing platform offers unique opportunities for remote sensing data collection, processing, analysis, and visualizations at a regional scale with direct access to a multi-petabyte analysis-ready data catalogue. The average radiant power from the lava during this time was 437 MW, with a maximum flux of 3253 MW. The intensity thermal power output of the 2021 Fagradalsfjall (3253 MW) is in marked contrast to radiant power observed at the 2014–2015 Holuhraun Iceland (11956 MW) where, while both eruptions also hosted active lava pools and channel, Holuhraun exhibited a much greater variability in radiant power over the same period of time. We performed Spearman correlation coefficient (SCC). Our results show a positive correlation (0.64) with radiative power from the MODVOLC system, which suggests that both results follow the same general trend. The results provide a unique temporal data set of heat flux, hosted, and processed by a cloud computing platform. This enabled the rapid assessment of eruption evolution via a cloud computing platform which can collect and process time series data within minutes. View Full-Text
Keywords: lava flows; near real-time monitoring; radiant power; cloud computing lava flows; near real-time monitoring; radiant power; cloud computing
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MDPI and ACS Style

Aufaristama, M.; Hoskuldsson, A.; van der Meijde, M.; van der Werff, H.; Moreland, W.M.; Jonsdottir, I. Radiant Power Patterns Inferred from Remote Sensing Using a Cloud Computing Platform, during the 2021 Fagradalsfjall Eruption, Iceland. Remote Sens. 2022, 14, 4528. https://doi.org/10.3390/rs14184528

AMA Style

Aufaristama M, Hoskuldsson A, van der Meijde M, van der Werff H, Moreland WM, Jonsdottir I. Radiant Power Patterns Inferred from Remote Sensing Using a Cloud Computing Platform, during the 2021 Fagradalsfjall Eruption, Iceland. Remote Sensing. 2022; 14(18):4528. https://doi.org/10.3390/rs14184528

Chicago/Turabian Style

Aufaristama, Muhammad, Armann Hoskuldsson, Mark van der Meijde, Harald van der Werff, William Michael Moreland, and Ingibjorg Jonsdottir. 2022. "Radiant Power Patterns Inferred from Remote Sensing Using a Cloud Computing Platform, during the 2021 Fagradalsfjall Eruption, Iceland" Remote Sensing 14, no. 18: 4528. https://doi.org/10.3390/rs14184528

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