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Digital Earth Africa Global Mangrove Watch

coastal cog deafrica earth observation geospatial land cover natural resource satellite imagery stac sustainability

Description

The Global Mangrove Watch (GMW) dataset is a result of the collaboration between Aberystwyth University (U.K.), solo Earth Observation (soloEO; Japan), Wetlands International the World Conservation Monitoring Centre (UNEP-WCMC) and the Japan Aerospace Exploration Agency (JAXA). The primary objective of producing this dataset is to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The Global Mangrove Watch dataset (version 2) consists of a global baseline map of mangroves for 2010 and changes from this baseline for six epochs i.e. 1996, 2007, 2008, 2009, 2015 and 2016. Annual maps are planned from 2018 and onwards. The dataset can be used to identify mangrove ecosystems and monitor changes in mangrove extent. This is important in applications such as quantifying ‘blue carbon’, mitigating risks from natural disasters, and prioritising restoration activities. For more information on the Global Watch Mangrove product see the Global Mangrove Watch website.

Update Frequency

To be defined.

License

DE Africa makes this data available under the Creative Commons Attribute 4.0 license https://creativecommons.org/licenses/by/4.0/.

Documentation

https://docs.digitalearthafrica.org/en/latest/data_specs/Global_Mangrove_Watch_specs.html

Managed By

See all datasets managed by Digital Earth Africa.

Contact

helpdesk@digitalearthafrica.org

How to Cite

Digital Earth Africa Global Mangrove Watch was accessed on DATE from https://registry.opendata.aws/deafrica-mangrove.

Usage Examples

Tutorials
Tools & Applications
Publications

Resources on AWS

  • Description
    Global Mangrove Watch
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::deafrica-input-datasets/gmw
    AWS Region
    af-south-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --region af-south-1 --no-sign-request s3://deafrica-input-datasets/gmw/
    Explore
    STAC V1.0.0 endpoint
  • Description
    S3 Inventory
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::deafrica-services-inventory
    AWS Region
    af-south-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --region af-south-1 --no-sign-request s3://deafrica-services-inventory/
  • Description
    Bucket creation event notification, can subscribe with Lambda or SQS. Message sent by the s3 bucket for all object create events.
    Resource type
    SNS Topic
    Amazon Resource Name (ARN)
    arn:aws:sns:af-south-1:543785577597:deafrica-input-datasets-topic
    AWS Region
    af-south-1

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