2022

Asim M, Matsuoka A, Ellingsen PG, Brekke C, Eltoft T and Blix K (2022) A new spectral harmonization algorithm for Landsat-8 and Sentinel-2 remote sensing reflectance products using machine learning: a case study for the Barents Sea (European Arctic). IEEE Transactions on Geoscience and Remote Sensing 61. doi.org/10.1109/TGRS.2022.3228393

Blix K, Ruescas AB, Johnson JE, Camps-Valls G (2022) Learning relevant features of optical water types. IEEE Geoscience and Remote Sensing Letters 19: 1-5. doi.org/10.1109/LGRS.2021.3072049

Duarte P, Assmy P, Campbell K, Sundfjord A (2022) The importance of turbulent ocean-sea ice nutrient exchanges for simulation of ice algal biomass and production with CICE6.1 and Icepack 1.2. Geoscientific Model Development 15(2): 841-857. doi.org/10.5194/gmd-15-841-2022

Kolås EH, Mo-Bjørkelund T, Fer I (2022) Technical note: Turbulence measurements from a light autonomous underwater vehicle. Ocean Science 18: 389-400. doi.org/10.5194/os-18-389-2022

Marangoni LF, Davies T, Smyth T, Rodríguez A, Hamann M, Duarte C, Pendoley K, Berge J, Maggi E, Levy O (2022) Impacts of artificial light at night in marine ecosystems – a review. Global Change Biology  28(18): 5346-5367. doi.org/10.1111/gcb.16264

Oudijk AE, Hasler O, Øveraas H, Marty S, Williamson DR, Svendsen T, Berg S, Birkeland R, Halvorsen DØ, Bakken S, Henriksen MB, Alver MO, Johnsen G, Johansen TA, Stahl A, Kvaløy P, Dallolio A, Majaneva S, Fragoso GM, Garrett JL (2022) Campaign for hyperspectral data validation in north Atlantic coastal waters. In 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing 1-5. Institute of Electrical and Electronics Engineers. https://hdl.handle.net/11250/3038739

Summers N, Johnsen G, Mogstad A, Løvås H, Fragoso G, Berge J (2022) Underwater hyperspectral imaging of Arctic macroalgal habitats during the Polar Night using a novel Mini-ROV-UHI portable system. Remote Sensing 14: 1325. doi.org/10.3390/rs14061325

Yang R, Utne IB (2022) Towards an online risk model for autonomous marine systems (AMS). Ocean Engineering 251: 111100. doi.org/10.1016/j.oceaneng.2022.111100

2021

Asim M, Brekke C, Mahmood A, Eltoft T, Reigstad M (2021a) Improving Chlorophyll-a estimation from sentinel-2 (MSI) in the Barents Sea using machine learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 1-1. doi.org/10.1109/JSTARS.2021.3074975

Asim M, Brekke C, Mahmood A, Eltoft T, Reigstad M (2021b) Ocean Color Net (OCN) for the Barents Sea. In IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium, pp 5881-5884. doi.org/10.1109/IGARSS39084.2020.9323687

Fossum TO, Norgren P, Fer I, Nilsen F, Koenig ZC, Ludvigsen M (2021) Adaptive sampling of surface fronts in the Arctic using an Autonomous Underwater Vehicle. IEEE Journal of Oceanic Engineering 46: 1155-1164. doi: 10.1109/JOE.2021.3070912

Johnsen G, Zolich A, Grant S, Bjørgum R, Cohen JH, McKee D, Kopec TP, Vogedes D, Berge J (2021) All-sky camera system providing high temporal resolution annual timeseries of irradiance in the Arctic. Applied Optics 60: 6456-6468. doi.org/10.1364/AO.424871

Løken TK, Rabault J, Jensen A, Sutherland G, Christensen KH, Müller M (2021) Wave measurements from ship mounted sensors in the Arctic marginal ice zone. Cold Regions Science and Technology 182: 103207. doi.org/10.1016/j.coldregions.2020.103207

2020

Johansson AM, Espeseth MM, Brekke C, Holt B (2020) Can mineral oil slicks be distinguished from newly formed sea ice using Synthetic Aperture Radar? IEEE Journal of Selected Topics in
Applied Earth Observations and Remote Sensing 13: 4996-5010.
doi.org/10.1109/JSTARS.2020.3017278

Løken T, Rabault J, Thomas EE, Müller M, Christensen KH, Sutherland G, Jensen A (2020) A comparison of wave observations in the Arctic marginal ice zone with spectral models.
Atmospheric and Oceanic Physics. arXiv:2003.09472v3.

Norgren P, Mo-Bjørkelund T, Gade K, Hegrenæs Ø, Ludvigsen M (2020) Intelligent buoys for aiding AUV navigation under the ice. In 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), pp 1-7. doi.org/10.1109/AUV50043.2020.9267889

Rabault J, Sutherland G, Gundersen O, Jensen A, Marchenko A, Breivik Ø (2020) An open source,
versatile, affordable waves in ice instrument for scientific measurements in the Polar Regions. Cold Regions Science and Technology 170: 102955. doi.org/10.1016/j.coldregions.2019.102955

Sture Ø, Norgren P, Ludvigsen M (2020) Trajectory planning for navigation aiding of Autonomous Underwater Vehicles. IEEE Access 8: 116586-116604. doi.10.1109/ACCESS.2020.3004439

Yang R, Utne IB, Liu Y, Paltrinieri N (2020) Dynamic Risk Analysis of Operation of the Autonomous Underwater Vehicle (AUV). Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference. Edited by Piero Baraldi, Francesco Di Maio and Enrico Zio. Research Publishing, Singapore. 

2019

Fossum TO, Fragoso GM, Davies EJ, Ullgren JE, Mendes R, Johnsen G, Ellingsen I, Eidsvik J, Ludvigsen M, Rajan K (2019) Toward adaptive robotic sampling of phytoplankton in the coastal
ocean. Science Robotics 4: eaav3041. doi.org/ 10.1126/scirobotics.aav3041

Fragoso GM, Davies EJ, Ellingsen I, Chauton MS, Fossum T, Ludvigsen M, Steinhovden KB, Rajan
K, Johnsen G (2019) Physical controls on phytoplankton size structure, photophysiology and
suspended particles in a Norwegian biological hotspot. Progress in Oceanography 175: 284-299.
doi.org/10.1016/j.pocean.2019.05.001

2018 

Fossum TO, Eidsvik J, Ellingsen I, Alver MO, Fragoso GM, Johnsen G, Mendes R, Ludvigsen M, Rajan K (2018) Information-driven robotic sampling in the coastal ocean. Journal of Field Robotics
35: 1101- 1121. doi.org/10.1002/rob.21805