MASSIMAL: A multimodal dataset for coastal habitat mapping in Norway

DOI

The MASSIMAL dataset contains data from shallow coastal areas collected using multiple data modalities, such as hyperspectral and multispectral aerial imaging, underwater imaging, and sonar measurements. The dataset was collected at four main locations along the Norwegian coast, in the time period 2021-2023, spanning large variations in habitat types. The data is organized as a set of ZIP files, with each file corresponding to one single time, location, and data type. Annotations of hyperspectral images are also included in the dataset. Potential applications of the dataset include development of mapping methods for coastal habitats, education on coastal monitoring methods, and reference material for timeline studies. See README.md and https://github.com/mh-skjelvareid/massimal-dataset for a more comprehensive introduction to the dataset.

Identifier
DOI https://doi.org/10.11582/2025.00041
Metadata Access https://search-api.web.sigma2.no/norstore-archive/oai/v1.0?verb=GetRecord&metadataPrefix=oai_dc&identifier=doi:10.11582/2025.00041
Provenance
Creator Skjelvareid, Martin; Rinde, Eli; Hancke, Kasper; Blix, Katalin; Hoarau, Galice Guillaume; Kile, Maia Røst
Publisher Norstore Archive
Publication Year 2025
OpenAccess true
Contact Norstore Archive
Representation
Language English
Resource Type Dataset
Discipline Acoustics; Computer Science; Computer Science, Electrical and System Engineering; Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences; Mathematics; Mechanical and industrial Engineering; Mechanics and Constructive Mechanical Engineering; Medicine; Natural Sciences; Physics