Datasets

Skjelvareid, M., Rinde, E., Hancke, K., Blix, K., Hoarau, G. G., Kile, M. R. (2025).MASSIMAL: A multimodal dataset for coastal habitat mapping in Norway [Data set]. Norstore. https://doi.org/10.11582/2025.00041

Hyperspectral, multispectral and RGB datasets from the project have also been published via the SeaBee Geo-Visualization Portal.

GitHub repositories

• massimal-dataset: Documentation and example usage of Massimal dataset (see above) 
• massipipe: Pipeline for calibration, processing and georeferencing of hyperspectral images. 
• vidtransgeotag: Tool for extracting geotagged images from video and position data streams.
• massimal: Collection of code and notebooks used for processing Massimal data.

Conference papers

IGARSS 2023 - Mapping marine macroalgae along the Norwegian coast using hyperspectral UAV imaging and convolutional nets for semantic segmentation

Conference presentations

NORA (Norwegian Artificial Intelligence Research Consortium) conference 2023 - Presentation of Massimal project and preliminary results

Posters

Northern Lights Deep Learning 2022 - Poster presentation

International Temperate Reefs Symposium 2023 - Poster presentation

Marine Geological and Biological Habitat Mapping (GEOHAB) Conference 2023 - Poster presentation

Marine Geological and Biological Habitat Mapping (GEOHAB) Conference 2024 - Poster presentation: Mapping shallow-water maerl beds with UAV hyperspectral imaging

Master's theses

Silje B.S. Grue (2022) - Machine Learning for Classifying Marine Vegetation from Hyperspectral Drone Data in the Norwegian coast