Rainfed wheat extent (2020/21) across Ethiopia's complex and highly fragmented agricultural smallholder landscape
Crop-type maps are critical for addressing food insecurity, yet national-scale, high-resolution maps of staple crops like wheat remain unavailable for many African countries due to limited, publicly available ground reference data. Ethiopia's complex and fragmented agricultural smallholder landscape...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Taylor & Francis
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/180353 |
| _version_ | 1855537396962033664 |
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| author | Blasch, Gerald Lesne, Louise Wolter, Jolan Alemayehu, Yoseph Bontemps, Sophie Hodson, David Defourny, Pierre |
| author_browse | Alemayehu, Yoseph Blasch, Gerald Bontemps, Sophie Defourny, Pierre Hodson, David Lesne, Louise Wolter, Jolan |
| author_facet | Blasch, Gerald Lesne, Louise Wolter, Jolan Alemayehu, Yoseph Bontemps, Sophie Hodson, David Defourny, Pierre |
| author_sort | Blasch, Gerald |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Crop-type maps are critical for addressing food insecurity, yet national-scale, high-resolution maps of staple crops like wheat remain unavailable for many African countries due to limited, publicly available ground reference data. Ethiopia's complex and fragmented agricultural smallholder landscape and frequent cloud cover during rainfed seasons make crop mapping particularly challenging. This study presents the first national-scale, high-resolution wheat area map for Ethiopia, generated through a satellite-based workflow integrating (i) gap-filled, cloud-masked Sentinel-2 time series; (ii) Random Forest classification using temporal-spectral profiles and the EthCT2020 reference dataset; (iii) cropland masking; (iv) multistep validation; and (v) confidence-based consolidation with sub-national statistics. The resulting map estimates approximately 3.19 million hectares of wheat for the 2020/21 rainfed season, with 10 m spatial resolution and temporal coverage from April to December 2020. The dataset, openly accessible via CIMMYT Dataverse, provides a critical resource for operational wheat disease early warning and advisory systems in Ethiopia. |
| format | Journal Article |
| id | CGSpace180353 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | dspace |
| spelling | CGSpace1803532026-01-22T02:14:30Z Rainfed wheat extent (2020/21) across Ethiopia's complex and highly fragmented agricultural smallholder landscape Blasch, Gerald Lesne, Louise Wolter, Jolan Alemayehu, Yoseph Bontemps, Sophie Hodson, David Defourny, Pierre remote sensing crops machine learning satellites Crop-type maps are critical for addressing food insecurity, yet national-scale, high-resolution maps of staple crops like wheat remain unavailable for many African countries due to limited, publicly available ground reference data. Ethiopia's complex and fragmented agricultural smallholder landscape and frequent cloud cover during rainfed seasons make crop mapping particularly challenging. This study presents the first national-scale, high-resolution wheat area map for Ethiopia, generated through a satellite-based workflow integrating (i) gap-filled, cloud-masked Sentinel-2 time series; (ii) Random Forest classification using temporal-spectral profiles and the EthCT2020 reference dataset; (iii) cropland masking; (iv) multistep validation; and (v) confidence-based consolidation with sub-national statistics. The resulting map estimates approximately 3.19 million hectares of wheat for the 2020/21 rainfed season, with 10 m spatial resolution and temporal coverage from April to December 2020. The dataset, openly accessible via CIMMYT Dataverse, provides a critical resource for operational wheat disease early warning and advisory systems in Ethiopia. 2025-01 2026-01-21T22:53:17Z 2026-01-21T22:53:17Z Journal Article https://hdl.handle.net/10568/180353 en Open Access application/pdf Taylor & Francis Blasch, G., Lesne, L., Wolter, J., Alemayehu, Y., Bontemps, S., Hodson, D. P., & Defourny, P. (2025). Rainfed wheat extent (2020/21) across Ethiopia’s complex and highly fragmented agricultural smallholder landscape. Journal Of Maps, 21(1). https://doi.org/10.1080/17445647.2025.2602338 |
| spellingShingle | remote sensing crops machine learning satellites Blasch, Gerald Lesne, Louise Wolter, Jolan Alemayehu, Yoseph Bontemps, Sophie Hodson, David Defourny, Pierre Rainfed wheat extent (2020/21) across Ethiopia's complex and highly fragmented agricultural smallholder landscape |
| title | Rainfed wheat extent (2020/21) across Ethiopia's complex and highly fragmented agricultural smallholder landscape |
| title_full | Rainfed wheat extent (2020/21) across Ethiopia's complex and highly fragmented agricultural smallholder landscape |
| title_fullStr | Rainfed wheat extent (2020/21) across Ethiopia's complex and highly fragmented agricultural smallholder landscape |
| title_full_unstemmed | Rainfed wheat extent (2020/21) across Ethiopia's complex and highly fragmented agricultural smallholder landscape |
| title_short | Rainfed wheat extent (2020/21) across Ethiopia's complex and highly fragmented agricultural smallholder landscape |
| title_sort | rainfed wheat extent 2020 21 across ethiopia s complex and highly fragmented agricultural smallholder landscape |
| topic | remote sensing crops machine learning satellites |
| url | https://hdl.handle.net/10568/180353 |
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