GROW-Africa: Difference between revisions

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The GROW-Africa (Groundtruthing Remote-sensing for Optimizing Yield in Africa) Database includes georeferenced observations of crop across Africa for the period 1960-2023. We selected xxx.
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 ==
== Provider's website ==
Line 5: Line 5:


== Documentation ==
== Documentation ==
xxx
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 ==
== Pre-processing ==
Original data was filtered:
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:
----------------
CROP
HARVESTYEAR
LATITUDE
LONGITUDE
SPATIALPRECISION_KM
COUNTRY
SITENAME
YIELD_TONPERHA
PLANTDATE
HARVESTDATE
NOTES


* xxx


The unique name is based on xxx.
The unique name is based on xxx.

Revision as of 20:13, 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

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:


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.