
Overview
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.
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This is a publicly available data set. No subscription is required.
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AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- 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/
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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 .
License
Digital Earth Pacific Data is available under the Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
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