National 10-m soybean maps for South Africa from 2018 to 2025
> 0.80 and nRMSE < 20%). Strong spatial agreement was observed between SoySA10, the Spatial Production Allocation Model (SPAM) 2020, and soybean field boundary polygons at both aggregate and detailed scales. The dataset supports analyses of South Africa's soy-cultivation dynamics and related downstream applications.
Authors
- Anton Vrieling (ORCID: https://orcid.org/0000-0002-7979-1540)
- Adolph Nyamugama (ORCID: https://orcid.org/0000-0002-9838-8175)
- Adeniyi Adeyemi (ORCID: https://orcid.org/0000-0001-7006-4032)
- Xin Huang (ORCID: https://orcid.org/0000-0001-8015-1295)
- Terry Newby
- Francis Muthoni
- Andrew Nelson
- Yue Dou
Institutions
- Geoterra Image (South Africa) (ZA)
- International Institute of Tropical Agriculture (KE)
- Agricultural Research Council of South Africa (ZA)
- University of Twente (NL)
Publication Details
- Journal
- Scientific Data
- Published
- 2026-04-28
- DOI
- https://doi.org/10.1038/s41597-026-07295-z
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Scholarship Council