Library
Drone and ground-truth data collection, image annotation and machine learning: A protocol for coastal habitat mapping and classification
Aerial drone imaging is an efficient tool for mapping and monitoring of coastal habitats at high ...
Monitoring macroplastics in aquatic and terrestrial ecosystems: Expert survey reveals visual and drone-based census as most effective techniques
Monitoring macroplastics in aquatic and terrestrial ecosystems: Expert survey reveals visual and drone-based census as most ...
Method development for mapping kelp using drones and satellite images: Results from the KELPMAP-Vega project
Method development for mapping kelp using drones and satellite images: Results from the KELPMAP-Vega project ...
Innovative and practical tools for monitoring and assessing biodiversity status and impacts of multiple human pressures in marine systems
Innovative and practical tools for monitoring and assessing biodiversity status and impacts of multiple human pressures ...
Seagrass health monitoring using USV & UAV data with machine learning
Sætre SH. 2024. Seagrass Health Monitoring Using USV & UAV Data with Machine Learning (MSc thesis) ...
Density classification of marine seagrass (Zostera marina) for blue carbon estimation using drones and Convolution Neural Networks
Borger C. 2024. Density classification of marine seagrass (Zostera marina) for blue carbon estimation using drones ...
Navigating SeaBee datasets
There are many datasets available on the SeaBee Geovisualization. Here you can see how to search, ...
SeaBee annual report 2023-2024
This report represents a simplified version of the more elaborate report delivered in the Research Council's ...
Coast habitat mapping storymap
Using flying drones and machine learning to map main coastal habitat types ...
Mapping and monitoring seagrass
Footage from DJI Mavic Mini drone during Zosmap field mission (sub-project of SeaBee), June 2023. For ...
Showing: 1- of 42