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A region-wide, multi-year set of crop field boundary labels for Africa

agriculture cog labeled land cover machine learning satellite imagery

Description

Crop field boundaries digitized in Planet imagery collected across Africa between 2017 and 2023, developed by Farmerline, Spatial Collective, and the Agricultural Impacts Research Group at Clark University, with support from the Lacuna Fund

Update Frequency

Updated versions of the dataset are added as they are developed

License

Planet NICFI participant license agreement

Documentation

https://github.com/agroimpacts/lacunalabels/

Managed By

The Agricultural Impacts Research Group

See all datasets managed by The Agricultural Impacts Research Group.

Contact

airg@clarku.edu

How to Cite

A region-wide, multi-year set of crop field boundary labels for Africa was accessed on DATE from https://registry.opendata.aws/africa-field-boundary-labels.

Usage Examples

Tutorials
Publications

Resources on AWS

  • Description
    Field boundary labels and corresponding Planet images
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::africa-field-boundary-labels
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://africa-field-boundary-labels/

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