GROW-Africa: Difference between revisions
No edit summary |
No edit summary |
||
| Line 1: | Line 1: | ||
The GROW-Africa (Groundtruthing Remote-sensing for Optimizing Yield in Africa) Database includes georeferenced observations of crop across Africa for the period 1960-2023. | 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 == | ||
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 | |||
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.