Open data
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Deployed on AWS
Crop field boundaries digitized in Planet imagery collected across Africa between 2017 and 2023, developed by [Farmerline](https://farmerline.co/), [Spatial Collective](https://spatialcollective.com/), and the [Agricultural Impacts Research Group](https://agroimpacts.info/) at [Clark University](https://www.clarku.edu/), with support from the [Lacuna Fund](https://lacunafund.org/) ([Estes et al, 2024](https://arxiv.org/abs/2412.18483); [Wussah et al. (2023)](https://zenodo.org/records/11060871)). This dataset has been further supplemented by additional labels collected primarily for for 2018 over a subset of countries, which provide an example of their application in training and validating a CNN-based cropland mapping model [(Khallaghi et al. 2025)](https://www.mdpi.com/2072-4292/17/3/474).
Overview
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 (Estes et al, 2024 ; Wussah et al. (2023) ). This dataset has been further supplemented by additional labels collected primarily for for 2018 over a subset of countries, which provide an example of their application in training and validating a CNN-based cropland mapping model (Khallaghi et al. 2025) .
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
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Delivery details
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
- Field boundaries 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/
- Description
- [Additional rasterized field labels and corresponding Planet images](https://www.mdpi.com/2072-4292/17/3/474)
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::africa-field-boundary-labels/extra
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://africa-field-boundary-labels/extra/
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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 .