Geir Johnsen
Background and activities
Geir Johnsen is a professor in marine biology at the Department of Biology (NTNU), Prof II at University Centre on Svalbard (UNIS), and is one of the founding partners in a NTNU spin-off company Ecotone using new optical techniques for mapping and monitoring the marine environment. He is a key scientist in the Centre of excellence (CeO) "Autonomous Marine Operations and Systems (AMOS). Currently he is on a 1 year research stay at University of Hawaii at Manoa, Honululu working with spectral bioluminescence in different taxa and mapping and monitoring of coral reefs.
Research areas
- Marine ecology and biodiversity
- Bio-optics
- Photosynthesis
- Pigment chemotaxonomy
- Underwater robotics and sensor development for in situ identification
- Mapping and monitoring of bio-geo-chemical objects of interest in the marine environment
He has been an adviser for 47 MSc students and 17 PhD candidates. Currently, he advises 3 MSc students and 5 PhD candidates.
He has published more than 130 papers in international scientific journals and been a co-editor for the books:
- "Ecosystem Barents Sea" (Tapir Academic Press)
- "Phytoplankton pigments: Updates on Characterization, Chemotaxonomy and Applications in Oceanography" (Cambridge University Press, 2011).
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2021) Hyperspectral imaging as an emerging tool to analyze microplastics: A systematic review and recommendations for future development. Microplastics and Nanoplastics.
- (2021) Pelagic organisms avoid white, blue, and red artificial light from scientific instruments. Scientific Reports. vol. 11 (1).
- (2021) All-sky camera system providing high temporal resolution annual time series of irradiance in the arctic. Applied Optics. vol. 60 (22).
- (2021) In situ recordings of large gelatinous spheres from NE Atlantic, and the first genetic confirmation of egg mass of Illex coindetii (Vérany, 1839) (Cephalopoda, Mollusca). Scientific Reports. vol. 11 (1).
- (2020) Artificial light during the polar night disrupts Arctic fish and zooplankton behavior down to 200 m depth. Communications Biology. vol. 3.
- (2020) Phytoplankton community succession and dynamics using optical approaches. Continental Shelf Research. vol. 213.
- (2020) Mapping the Historical Shipwreck Figaro in the High Arctic Using Underwater Sensor-Carrying Robots. Remote Sensing. vol. 12 (6).
- (2020) Benthic Communities on the Mohn’s Treasure Mound: Implications for Management of Seabed Mining in the Arctic Mid-Ocean Ridge. Frontiers in Marine Science. vol. 7.
- (2020) Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer. Oceanography. vol. 33 (3).
- (2019) Toward adaptive robotic sampling of phytoplankton in the coastal ocean. Science robotics. vol. 4 (27).
- (2019) Physical controls on phytoplankton size structure, photophysiology and suspended particles in a Norwegian biological hotspot. Progress in Oceanography. vol. 175.
- (2019) Trait-based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer. Limnology and Oceanography. vol. 64 (4).
- (2019) Photoacclimation state of an Arctic underice phytoplankton bloom. Journal of Geophysical Research (JGR): Oceans. vol. 124 (3).
- (2019) Sea surface microlayer and elemental composition in phaeo-, chloro-, and rhodophytes in winter and spring. Journal of Phycology. vol. 55.
- (2019) Shallow-Water Habitat Mapping using Underwater Hyperspectral Imaging from an Unmanned Surface Vehicle: A Pilot Study. Remote Sensing. vol. 11 (6).
- (2018) The advective origin of an under-ice spring bloom in the Arctic Ocean using multiple observational platforms. Polar Biology. vol. 41 (6).
- (2018) Underwater Hyperspectral Imaging Using a Stationary Platform in the Trans-Atlantic Geotraverse Hydrothermal Field. IEEE Transactions on Geoscience and Remote Sensing. vol. 57 (5).
- (2018) First hyperspectral imaging survey of the deep seafloor: High-resolution mapping of manganese nodules. Remote Sensing of Environment. vol. 209.
- (2018) Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna. Scientific Reports. vol. 8 (1).
- (2018) Information-driven robotic sampling in the coastal ocean. Journal of Field Robotics (JFR). vol. 35 (7).