Further work

The size of this dataset and the various types of noise inherent to video data and species annotations from multiple years mean that there are still steps we can take to refine this classification further. There are also alternative tools we are investigating to see if the classification process can be further optimized. This work is ongoing, alongside further improvements to our modelling methods, map products and supporting information, and in parallel to development of vulnerable biotope maps.

References

Buhl-Mortensen, P., Dolan, M.F.J., Ross, R.E., Gonzalez-Mirelis, G., Buhl-Mortensen, L., Bjarnadóttir, L.R., Albretsen, J., 2020. Classification and Mapping of Benthic Biotopes in Arctic and Sub-Arctic Norwegian Waters. Front. Mar. Sci. 7, 271. https://doi.org/10.3389/fmars.2020.00271

Dolan, M.F.J., Ross, R.E., Albretsen, J., Skarðhamar, J., Gonzalez-Mirelis, G., Bellec, V.,Buhl-Mortensen, P., Bjarnadóttir, L.R., 2021. Using Spatial Validity and Uncertainty Metrics to Determine the Relative Suitability of Alternative Suites of Oceanographic Data for Seabed Biotope Prediction. A Case Study from the Barents Sea, Norway. Geosciences 11, 48. https://doi.org/10.3390/geosciences11020048

Van Son, T.C.; Bjarnadóttir, L.R.; Thorsnes, T.; Gonzales-Mirelis, G.; Dolan, M.; Buhl-Mortensen, P. Environmental Variability Index (EVI)-A MAREANO Methods Study for Guidance Of Sampling Effort; NGU-Rapport (2015.027); Geological Survey of Norway: Trondheim, Norway, 2015. https://www.ngu.no/upload/Publikasjoner/Rapporter/2015/2015_027.pdf