Digital Earth Pacific Seagrass Extent, Machine Learning (Sentinel-2, 10 m)

biodiversity coastal earth observation geoscience geospatial marine oceans

Description

This dataset maps the distribution of seagrass ecosystems across the Pacific region using Sentinel-2 imagery. It applies machine learning techniques to classify seagrass extent at high spatial resolution, and includes seagrass probability, classification and thresholded extent layers from 2017 onwards. The dataset supports marine habitat mapping, biodiversity monitoring, and coastal ecosystem management.

Update Frequency

Annually

License

Digital Earth Pacific Data is available under the Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/

Documentation

https://digitalearthpacific.org/#/applications

Managed By

Pacific Community (SPC)

See all datasets managed by Pacific Community (SPC).

Contact

dep@spc.int

How to Cite

Digital Earth Pacific Seagrass Extent, Machine Learning (Sentinel-2, 10 m) was accessed on DATE from https://registry.opendata.aws/dep-seagrass.

Usage Examples

Tools & Applications
Publications

Resources on AWS

  • Description
    Seagrass Extent, Machine Learning (Sentinel-2, 10 m)
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::dep-public-data/dep_s2_seagrass
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://dep-public-data/dep_s2_seagrass/
    Explore
    STAC V1.0.0 endpoint

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