GROW-Africa

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

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

Velden in de db:

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CROP HARVESTYEAR LATITUDE LONGITUDE SPATIALPRECISION_KM COUNTRY SITENAME YIELD_TONPERHA PLANTDATE HARVESTDATE NOTES

The unique name is based on xxx.

The comment is based on the following attributes xxx

CROP_CODE

Attribute: xxx

Remark: -

CROP_DEV_BBCH

Attribute: xxx

Remark: xxx

Management

There was no further information on the crop management.