GROW-Africa: Difference between revisions
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* regarding plant and harvest date, at least one must be available | * regarding plant and harvest date, at least one must be available | ||
The unique name is based on xxx. | |||
The comment is based on the following attributes xxx | |||
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NOTES | NOTES | ||
=== CROP_CODE === | === CROP_CODE === | ||
Revision as of 20:17, 12 October 2025
The GROW-Africa (Groundtruthing Remote-sensing for Optimizing Yield in Africa) Database includes georeferenced observations of crop across Africa for the period 1960-2023. For AGROSTAC the phenology (start and end) was extracted from the non-LSMS sources. These data sources include development agencies, non-profit organizations, and datasets published in the scientific literature.
Provider's website
[1] GROW-Africa (Groundtruthing Remote-sensing for Optimizing Yield in Africa) Database, v2.0. The file 'GROW-Africa_Point.xlsx' was selected.
Documentation
[2] Geyman, E.C., Ferris, A., Sahajpal, R., Anderson, W., Lee, D., and Hausmann, N. An Africa-wide agricultural production database to support policy and satellite-based measurement systems. Scientific Data (in review). 2025.
Pre-processing
Original data was filtered:
- the location (latitude and longitude) must be known
- regarding plant and harvest date, at least one must be available
The unique name is based on xxx.
The comment is based on the following attributes xxx
Velden in de db:
CROP HARVESTYEAR LATITUDE LONGITUDE SPATIALPRECISION_KM COUNTRY SITENAME YIELD_TONPERHA PLANTDATE HARVESTDATE NOTES
CROP_CODE
Attribute: xxx
Remark: -
CROP_DEV_BBCH
Attribute: xxx
Remark: xxx
Management
There was no further information on the crop management.
