Publications
- Two-platform approach to mapping Arctic sea ice algal aggregates using underwater hyperspectral imaging Read the publication
- Assessing Arctic under sea-ice light regimes and ice algal bio-optical properties using ROV-based hyperspectral imaging Read the publication
- Operational closed-loop system for multi-scale chlorophyll-a monitoring along the Norwegian coast Read the publication
- The influence of environmental factors and phytoplankton blooms on cyphonautes larvae abundance and bryozoan colony development at a kelp farm in central Norway Read the publication
- The Role of Rapid Changes in Weather on Phytoplankton Spring Bloom Dynamics From Mid-Norway Using Multiple Observational Platforms Read the publication
- The Role of Rapid Changes in Weather on Phytoplankton Spring Bloom Dynamics Captured by an Autonomous Uncrewed Surface Vehicle
- Biomass estimations of cultivated kelp using underwater RGB images from a mini-ROV and computer vision approaches Read the publication
- Contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling Read the publication
- Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters Read the publication
- Phytoplankton community succession and dynamics using optical approaches Read the publication
Other
- An Automated Modular In Situ Machine Vision System for Real-Time Phytoplankton Monitoring Using the AFTI-scope
- Using the ‘Observational Pyramid’Framework for High-Resolution Multi-Platform Monitoring of Autumn Phytoplankton Blooms in Trondheimsfjord-from eDNA to Hyperspectral Satellites
- From molecules to satellites - how can we use multi-sensor approaches to extract plankton traits?
- Combining optics, imaging and artificial intelligence for in-situ characterisation of complex particle populations
- Assessing phytoplankton and zooplankton dynamics using optical sensors.
- Use of optical sensors to identify, map and monitor phyto- and zooplankton.