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

被引:0
作者
Aufaristama, Muhammad [1 ]
Hoskuldsson, Armann [2 ,3 ]
van der Meijde, Mark [1 ]
van der Werff, Harald [1 ]
Moreland, William Michael [3 ,4 ]
Jonsdottir, Ingibjorg [3 ,4 ]
机构
[1] Univ Twente, Fac ITC, Dept Appl Earth Sci, POB 6, NL-7500 AA Enschede, Netherlands
[2] Univ Iceland, Nordic Volcanol Ctr, Inst Earth Sci, Sturlugata 7, IS-102 Reykjavik, Iceland
[3] Univ Iceland, Inst Earth Sci, Sturlugata 7, IS-102 Reykjavik, Iceland
[4] Univ Iceland, Fac Earth Sci, Sturlugata 7, IS-102 Reykjavik, Iceland
关键词
lava flows; near real-time monitoring; radiant power; cloud computing; EFFUSION RATES; SATELLITE; VOLCANO; FLUX; MODVOLC;
D O I
10.3390/rs14184528
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:11
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