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

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Dokumenter

  • Kim Senger
  • Peter Betlem
  • Sten Andreas Grundväg
  • 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
  • Snorre Olaussen

The Covid-19 pandemic occurred at a time of major revolution in the geosciences - the era of digital geology. Digital outcrop models (DOMs) acquired from consumer drones, processed using user-friendly photogrammetric software and shared with the wider audience through online platforms are a cornerstone of this digital geological revolution. Integration of DOMs with other geoscientific data, such as geological maps, satellite imagery, terrain models, geophysical data and field observations, strengthens their application in both research and education. Teaching geology with digital tools advances students' learning experience by providing access to high-quality outcrops, enhancing visualization of 3D geological structures and improving data integration. Similarly, active use of DOMs to integrate new field observations will facilitate more effective fieldwork and quantitative research. From a student's perspective, georeferenced and scaled DOMs allow for an improved appreciation of scale and of 3D architecture, which is a major threshold concept in geoscientific education. DOMs allow us to bring geoscientists to the outcrops digitally, which is particularly important in view of the Covid-19 pandemic that restricts travel and thus direct access to outcrops. At the University Centre in Svalbard (UNIS), located at 78gN in Longyearbyen in Arctic Norway, DOMs are actively used even in non-pandemic years, as the summer field season is short and not overlapping with the Bachelor "Arctic Geology"course package held from January to June each year. In 2017, we at UNIS developed a new course (AG222 "Integrated Geological Methods: From Outcrop To Geomodel") to encourage the use of emerging techniques like DOMs and data integration to solve authentic geoscientific challenges. In parallel, we have established the open-access Svalbox geoscientific portal, which forms the backbone of the AG222 course activities and provides easy access to a growing number of DOMs, 360gimagery, subsurface data and published geoscientific data from Svalbard. Considering the rapid onset of the Covid-19 pandemic, the Svalbox portal and the pre-Covid work on digital techniques in AG222 allowed us to rapidly adapt and fulfil at least some of the students' learning objectives during the pandemic. In this contribution, we provide an overview of the course development and share experiences from running the AG222 course and the Svalbox platform, both before and during the Covid-19 pandemic.

OriginalsprogEngelsk
TidsskriftGeoscience Communication
Vol/bind4
Udgave nummer3
Sider (fra-til)399-420
Antal sider22
ISSN2569-7102
DOI
StatusUdgivet - 2021

Bibliografisk note

Funding Information:
Financial support. This research has been supported by the University of the Arctic (grants CAGE, HalipDAT, and Svalbox2020) and ARCEx partners and the Research Council of Norway (grant no. 228107).

Funding Information:
Acknowledgements. The AG222 course is fully financed by UNIS, with significant course and Svalbox development costs financed through numerous co-operation grants from the University of the Arctic (UArctic). Digital outcrop models freely available on Svalbox are acquired using both UNIS internal funds and external projects, notably the Research Centre for Arctic Petroleum Exploration (ARCEx), the Norwegian CCS Research Centre (NCCS), the Suprabasins project led by the University of Oslo and the Petroleum Research School of Norway (NfiP). The iEarth Centre for Integrated Earth Science Education provided seed funds to develop a virtual field trip to Festningen. The VOG Group at NORCE added a selection of Svalbox models to the V3Geo portal. We sincerely appreciate all feedback from UNIS colleagues and data sharing from MSc and PhD students and – of course – all the students of the AG222 course at UNIS over the years.

Publisher Copyright:
© 2021 Kim Senger et al.

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