Data · dataset · 2024
A region-wide, multi-year set of crop field boundary labels for Africa
Listed in GEO Knowledge Hub
Data resulting from a project undertaken to generate a comprehensive set of crop field boundary labels throughout the continent of Africa, representing the years 2017-2023.
Description
The project was funded by the Lacuna Fund , and led by Farmerline , in collaboration with Spatial Collective and the Agricultural Impacts Research Group at Clark University . Please refer to the technical report in the accompanying repository for more details on the methods used to develop the dataset, an analysis of label quality, and usage guidelines.
Links
Where it is published
- GEO Knowledge Hub record gkhub.earthobservations.org/records/hmbvn-kxf82 ↗
landing page · from gkhub earthobservations org
- DOI doi.org/10.5281/zenodo.11060871 ↗
DOI / persistent id · from gkhub earthobservations org
Catalogue records · 1
- InvenioRDM API gkhub.earthobservations.org/api/records/hmbvn-kxf82 ↗
metadata API · from gkhub earthobservations org
Topics
- Stated by source
- Africa · Agriculture · Labels · Land Cover · machine learning · Remote Sensing
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| GEO Knowledge Hub | hmbvn-kxf82 | 2 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| concepts[field].anzsrc:field:401304 | mapping · gkhub earthobservations org | vocabulary-mapper@1.0.0 | keywords['Remote sensing'] |
| concepts[field].anzsrc:group:4611 | mapping · gkhub earthobservations org | vocabulary-mapper@1.0.0 | keywords['Machine learning'] |
| concepts[field].local:field:computer-science-ai | mapping · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | mapping · gkhub earthobservations org | vocabulary-mapper@1.0.0 | keywords['Remote sensing'] |
| concepts[topic].invenio_subject:gkhub_earthobservations_org:africa | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| concepts[topic].invenio_subject:gkhub_earthobservations_org:agriculture | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| concepts[topic].invenio_subject:gkhub_earthobservations_org:labels | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| concepts[topic].invenio_subject:gkhub_earthobservations_org:land-cover | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| concepts[topic].invenio_subject:gkhub_earthobservations_org:machine-learning | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| concepts[topic].invenio_subject:gkhub_earthobservations_org:remote-sensing | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| description | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | /metadata/description |
| publication_date | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| title | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | /metadata/title |
| updated_date | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 | |
| version_label | source · gkhub earthobservations org | connector:gkhub_earthobservations_org@1.0.0 |