Data · dataset · 2026
CARIBCOAST: Coastal ecosystems distribution and Ecosystem Based Coastal Vulnerability Index (EBCVI) in the Caribbean
Listed in DataSuds
Description
The dataset is composed of raster (mangrove, seagrass and coral distribution - geotiff format) and vector (caostal vulnerability index CVI - shapefile format) layers for the six areas of interest of the project (Guadeloupe, Martinique, Saint-Martin, Jamaica, Puerto Rico and Trinidand and Tobago), including style files in qml format. For each area, files corresponding to selected pilot sites are available. The distribution maps of coastal ecosystems (mangrove, seagrass and coral) have been produced using Sentinel 2, Pleiades and Planetscope satellites images (provided by the ESA Copernicus program, the Dataterra DINAMIS platform and Planets) and a random forest supervised classification approach (carried out by La Telescop).
The production of the EBCVI to erosion is based on the distribution maps of the ecosystems which were used to calculate a number of landscape metrics, that were combined to produce the EBCVI. Associated ressources provide different documents (in French and English) with more details on the methodology and some technical reports. More details : carib-coast.com/en/ Balouin, Y., de la Torre, Y., Pedreros, R., Filippini, A. G., Laigre, T., Videau, N., ... & Jack, C. (2023).
Read the rest (1 more)
Carib-coast project: Caribbean network for prevention of coastal risks related to climate change. The Proceedings of the Coastal Sediments 2023 In 5 Volumes, doi.org/10.1142/9789811275135_0116.
Links
Where it is published
- Dataverse dataset page dataverse.ird.fr/dataset.xhtml?persistentId=doi%3A10.23708%2F33f2115e-3162-4848… ↗
landing page · from dataverse ird fr
- DOI doi.org/10.23708/33f2115e-3162-4848-83d2-ba56f1002f5f ↗
DOI / persistent id · from dataverse ird fr
Catalogue records · 1
- Dataverse API dataverse.ird.fr/api/datasets/:persistentId/?persistentId=doi%3A10.23708%2F33f2… ↗
metadata API · from dataverse ird fr
Topics
- From keywords
- Ocean & Atmospheric Science · Satellite remote sensing
- Inferred from text
- Image 65% · Physical geography and environmental geoscience 72%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataSuds | doi:10.23708/33f2115e-3162-4848-83d2-ba56f1002f5f | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3709 | enrichment · dataverse ird fr | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].local:field:ocean-atmospheric | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · dataverse ird fr | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:remote-sensing | mapping · dataverse ird fr | vocabulary-mapper@1.0.0 | keywords['satellite imagery'] |
| created_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| description | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /description |
| publication_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| title | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /name |
| updated_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 |