Data · collection · 2023
Great African Food Company Crop Type Tanzania
Listed in NASA Earthdata CMR
This dataset contains field boundaries and crop types from farms in Tanzania.
Description
Great African Food Company used Farmforce app to collect a point within each field, and recorded other properties including area of the field. <br><br> Radiant Earth Foundation team used the point measurements from the ground data collection and the area of each field overlaid on satellite imagery (multiple Sentinel-2 scenes during the growing season, and Google basemap) to draw the polygons for each field.
These polygons do not cover the entirety of the field, and are always enclosed within the field. Therefore, they should not be used for field boundary detection, rather as reference polygons for crop type classification. Data points that were not clear if they belong to a neighboring farm (e.g. the point was on the edge of two farms)were removed from the dataset.
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Finally, ground reference polygons were matched with corresponding time series data from Sentinel-2 satellites (listed in the source imagery property of each label item).
Links
Get the data
- Dataset Detail and Download Page source.coop/radiantearth/african-crops-tanzania-01 ↗
landing page · download · from NASA CMR
Where it is published
- DOI doi.org/10.34911/rdnt.5vx40r ↗
DOI / persistent id · from NASA CMR
Catalogue records · 2
- CMR UMM-JSON cmr.earthdata.nasa.gov/search/concepts/C2781412712-MLHUB.umm_json ↗
metadata API · from NASA CMR
- CMR record cmr.earthdata.nasa.gov/search/concepts/C2781412712-MLHUB.html ↗
catalogue entry · from NASA CMR
Topics
- Stated by source
- SENTINEL-2A · Sentinel-2B · Vector Labels
- Inferred from text
- Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Earthdata CMR | C2781412712-MLHUB | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[measured_variable].gcmd:earth-science-services/machine-learning-training-data/labels/vector-labels | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[platform].gcmd_platform:sentinel-2a | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[platform].gcmd_platform:sentinel-2b | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| created_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| description | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/Abstract |
| license_text | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| publication_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| spatial | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/SpatialExtent |
| temporal | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/TemporalExtents |
| title | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/EntryTitle |
| version_label | source · NASA CMR | connector:nasa_cmr@1.0.0 |