Data · dataset · 2026
Floating Kelp Forest mapping using spaceborne Synthetic Aperture Radar on the British Columbia coast: the classification model
Listed in Borealis
This dataset contains a machine learning model specifically designed to classify kelp, saved in the .sav format.
Description
It includes sample input data for the year 2017, covering the area of Malcolm Island, BC, Canada. Finally, to facilitate testing of the classification, a Jupyter notebook and a Miniconda environment definition were also included.
The mask of the land, the sandy bottom substrate, and depths under 20 m, was not included in the bundle due to copyright of the input datasets. To obtain instructions on how to create your own mask file, please contact the Point of Contact, using provided email. This algorithm is the outcome of a research project funded by the Canadian Space Agency, as part of the Program to Support Research, Awareness, and Learning in Space Science and Technology, in collaboration with the Natural Sciences and Engineering Research Council of Canada Alliance grant.
Read the rest (1 more)
Details on the validation and development of the algorithm can be found in the associated peer-reviewed paper.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP3%2FKQOSNB ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp3/kqosnb ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP3%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Earth and Environmental Sciences
- From keywords
- Computer Science & AI · Earth & Environmental Science
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP3/KQOSNB | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |