Svalbox – Discover Svalbard
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Online resources

Posted by Peter Betlem on December 2, 2019 | Featured

Online resources

http://wwfarcticmaps.org/

https://geo.ngu.no/kart/permafrost_svalbard/

https://geodata.npolar.no/

https://geo.ngu.no/kart/nadag/

https://www.pgc.umn.edu/data/arcticdem/

https://livingatlas2.arcgis.com/arcticdemexplorer/

https://certmapper.cr.usgs.gov/data/apps/world-maps/

https://geodata.uit.no/cage_web_map

https://geodata.uit.no/core_repository

https://fusiontables.googleusercontent.com/embedviz?q=select+col7+from+1w2XxfppX3VLq9cvJ5OwfLTUs-hdw8ICfY1OB2zHF&viz=MAP&h=false&lat=80.90973610498722&lng=24.86586701161798&t=1&z=4&l=col7&y=4&tmplt=10&hml=KML,

https://norramarctic.wordpress.com/resources-and-links/

http://Toposvalbard.npolar.no

http://svalbardkartet.npolar.no/html5/Index.html (turn on Geology)
http://www.npd.no/en/ (Advanced FactMaps)
http://nhm2.uio.no/norlex/

 

About Us

Svalbox is hosted by the University Centre in Svalbard (UNIS) and managed by Kim Senger from the Department of Arctic Geology. Much of the recent digital outcrop data acquisition is conducted in conjunction with ongoing research projects and educational activities at UNIS, as well as dedicated Svalbox acquisition campaigns.

Recent 3D outcrops

  • Arctic Biology Virtual Field Trips
  • The Festningen Geotope – a laboratory for virtual field trips
  • AG-222 Virtual Field Trips 2021

Recent Virtual Field Trips

  • Arctic Biology Virtual Field Trips
  • The Festningen Geotope – a laboratory for virtual field trips
  • AG-222 Virtual Field Trips 2021
  • Discover the fossilized world of Festningen
  • Svalbard

Recent affiliated publications

2414534 B4MAV76G items 1 geology 2 date dsc 1 https://www.svalbox.no/wp-content/plugins/zotpress/
Senger, K. et al., 2020, Using digital outcrops to make the high Arctic more accessible through the Svalbox database: Journal of Geoscience Education, https://www.tandfonline.com/doi/abs/10.1080/10899995.2020.1813865 (accessed October 2020). Cite
Betlem, P., Birchall, T., Ogata, K., Park, J., Skurtveit, E., and Senger, K., 2020, Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core Samples: Remote Sensing, v. 12, p. 330, http://doi.org/10.3390/rs12020330. Cite
Senger, K., 2019, Svalbox: A Geoscientific Database for High Arctic Teaching and Research, in 2019 AAPG Annual Convention and Exhibition, San Antonio, Texas. Cite

 © 2018-2020 Kim Senger/UNIS - The University Centre in Svalbard | Original design by Geophox - Leverage geomatics