Publikasjoner
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Mapping kelp forest regrowth using drones, after sea urchin removal and other restoration efforts
Hege Gundersen
SeaBee-infrastrukturen – et overblikk
Kasper Hancke, Hege Gundersen
Use of drone-borne green LiDAR and machine learning for high-resolution research of submerged coastal vegetation in Norway
Charles Patrick Lavin, Hege Gundersen, Toms Buls, Robert Nøddebo Poulsen, Kasper Hancke
Nytt utstyr kan gi store gevinster
Frank Johansen, Hege Gundersen
Mapping of biomass and carbon content of coastal vegetation using green LiDAR on drones
Kasper Hancke
Detecting and quantifying macroplastic on beaches using drones and AI
Kasper Hancke, Hege Gundersen
Mapping Blue Forests & Coastal Habitats: A Drone’s Eye Perspective
Hege Gundersen, Kasper Hancke
Posidonia mapping using multispectral and LiDAR data from drones – upscaling potentials using satellite data
Kasper Hancke, Núria Marbà, Iris Hendriks, Robert Nøddebo Poulsen, Toms Buls, Charles Patrick Lavin
Freshwater colour reveals fish welfare during wellboat treatments against salmon lice
Rolf David Vogt, Endre Steigum, Silje K. Bekkeli, Janaki Rajakumar, Sara Calabrese, Ole-Kristian Hess-Erga
Drones for mapping benthic habitats and the SeaBee Infrastructure. 10.05.2023. Oral presentation. https://geohab.org/wp-content/uploads/2023/05/GeoHab2023_proceedings.pdf
Kasper Hancke, Anders Gjørwad Hagen, TA Johansen, J Garrett, Arnt Børre Salberg, Kristoffer Kalbekken
De novo Development of a Quantitative Adverse Outcome Pathway (qAOP) Network for Ultraviolet B (UVB) Radiation Using Targeted Laboratory Tests and Automated Data Mining
You Song, Li Xie, YeonKyeong Lee, Knut Erik Tollefsen
AOP report: Inhibition of chitin synthase 1 leading to increased mortality in arthropods
Simon Schmid, You Song, Knut Erik Tollefsen
Spatial prediction of Laminaria hyperborea at the Norwegian Skagerrak coast
Kjell Magnus Norderhaug, Martin Isæus, Trine Bekkby, Frithjof Moy, Are Pedersen
Cyber-Physical Systems for Smart Water Networks: A Review
Jyotirmoy Bhardwaj, Joshin Parakkulangarayil Krishnan, Diego F. Larios Marin, Baltasar Beferull-Lozano, Linga Reddy Cenkeramaddi, Christopher Peter Harman
In Silico Identification of Chemicals Capable of Binding to the Ecdysone Receptor
Claire L. Mellor, Knut Erik Tollefsen, Carlie LaLone, Mark TD Cronin, James W. Firman
A Bayesian approach to incorporating spatiotemporal variation and uncertainty limits into modeling of predicted environmental concentrations from chemical monitoring campaigns
Raoul Wolf, Knut-Erik Tollefsen
Probabilistic risk assessment of pesticides under present and future agricultural and climate scenarios using a Bayesian Network
Sophie Mentzel, Merete Grung, Knut-Erik Tollefsen, Marianne Stenrød, Roger Holten, S. Jannicke Moe
Probabilistic Risk Assessment of Pesticides of a rice field in Spain: A Bayesian Network Approach
Sophie Mentzel, Merete Grung, Knut-Erik Tollefsen, Marianne Stenrød, Petersen Karina, S. Jannicke Moe
A Bayesian Network Approach to Probabilistic Risk Assessment of Pesticides in Rice Fields
Sophie Mentzel, Claudia Martinez, Andreu Rico, Merete Grung, Knut-Erik Tollefsen, S. Jannicke Moe
Juvenile hormone synthesis and signaling disruption triggering male offspring induction and population decline in cladocerans (water flea): Review and adverse outcome pathway development
Kenji Toyota, Haruna Watanabe, Masashi Hirano, Ryoko Abe, Hitoshi Miyakawa, You Song