agriculture cog labeled land cover machine learning satellite imagery
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
Updated versions of the dataset are added as they are developed
Planet NICFI participant license agreement
https://github.com/agroimpacts/lacunalabels/
The Agricultural Impacts Research Group
See all datasets managed by The Agricultural Impacts Research Group.
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.
arn:aws:s3:::africa-field-boundary-labels
us-west-2
aws s3 ls --no-sign-request s3://africa-field-boundary-labels/