Articles | Volume 4, issue 3
https://doi.org/10.5194/gc-4-399-2021
https://doi.org/10.5194/gc-4-399-2021
Research article
 | 
28 Sep 2021
Research article |  | 28 Sep 2021

Teaching with digital geology in the high Arctic: opportunities and challenges

Kim Senger, Peter Betlem, Sten-Andreas Grundvåg, Rafael Kenji Horota, Simon John Buckley, Aleksandra Smyrak-Sikora, Malte Michel Jochmann, Thomas Birchall, Julian Janocha, Kei Ogata, Lilith Kuckero, Rakul Maria Johannessen, Isabelle Lecomte, Sara Mollie Cohen, and Snorre Olaussen

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Cited articles

Ahlborn, M. and Stemmerik, L.: Depositional evolution of the Upper Carboniferous-Lower Permian Wordiekammen carbonate platform, Nordfjorden High, central Spitsbergen, Arctic Norway, Norw. J. Geol., 95, 91–126, 2015. 
Anell, I., Braathen, A., and Olaussen, S.: The Triassic-Early Jurassic of the northern Barents Shelf: a regional understanding of the Longyearbyen CO2 reservoir, Norw. J. Geol., 94, 83–98, 2014. 
Anell, I., Lecomte, I., Braathen, A., and Buckley, S.: Synthetic seismic illumination of small-scale growth faults, paralic deposits and low-angle clinoforms: A case study of the Triassic successions on Edgeøya, NW Barents Shelf, Mar. Petrol. Geol., 77, 625–639, https://doi.org/10.1016/j.marpetgeo.2016.07.005, 2016. 
Beka, T. I., Senger, K., Autio, U. A., Smirnov, M., and Birkelund, Y.: Integrated electromagnetic data investigation of a Mesozoic CO2 storage target reservoir-cap-rock succession, Svalbard, J. Appl. Geophys., 136, 417–430, 2017. 
Bergen, K. J., Johnson, P. A., Maarten, V., and Beroza, G. C.: Machine learning for data-driven discovery in solid Earth geoscience, Science, 363, eaau0323, https://doi.org/10.1126/science.aau0323, 2019. 
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At UNIS, located at 78° N in Longyearbyen in Arctic Norway, we use digital outcrop models (DOMs) actively in a new course (AG222 Integrated Geological Methods: From Outcrop To Geomodel) to solve authentic geoscientific challenges. DOMs are shared through the open-access Svalbox geoscientific portal, along with 360° imagery, subsurface data and published geoscientific data from Svalbard. Here we share experiences from the AG222 course and Svalbox, both before and during the Covid-19 pandemic.
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