National-scale wheat area dataset of Ethiopia for the 2020/21 rainfed cropping seasons

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cg.contributor.affiliationInternational Maize and Wheat Improvement Center
cg.contributor.donorBill & Melinda Gates Foundation
cg.contributor.donorForeign, Commonwealth and Development Office, United Kingdom
cg.contributor.donorCGIAR Trust Fund
cg.contributor.initiativePlant Health
cg.contributor.programAcceleratorSustainable Farming
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionEastern Africa
cg.creator.identifierGerald Blasch: 0000-0002-8265-0052
cg.creator.identifierDavid Hodson: 0000-0002-7691-0102
cg.identifier.urlhttps://hdl.handle.net/11529/10549175
cg.placeAddis Ababa, Ethiopia
cg.reviewStatusInternal Review
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.impactAreaNutrition, health and food security
dc.contributor.authorBlasch, Gerald
dc.contributor.authorLesne, Louise
dc.contributor.authorWolter, Jolan
dc.contributor.authorAlemayehu, Yoseph
dc.contributor.authorBontemps, Sophie
dc.contributor.authorHodson, David
dc.contributor.authorDefourny, Pierre
dc.date.accessioned2026-02-23T17:50:01Z
dc.date.available2026-02-23T17:50:01Z
dc.identifier.urihttps://hdl.handle.net/10568/181817
dc.titleNational-scale wheat area dataset of Ethiopia for the 2020/21 rainfed cropping seasonsen
dcterms.abstractThe national-scale wheat area dataset of Ethiopia for the 2020/21 rainfed cropping seasons shows the spatial distribution and density of rainfed wheat at 10 m spatial resolution for the 2020 Belg and 2020/21 Meher seasons at the national scale. The binary dataset depicts whether a pixel is classified as wheat or non-wheat (labeled as "1" and "0", respectively) during the period ranging from April to December 2020. For datatset generation, state-of-the-art, efficient satellite data pre-processing, in-depth in situ data cleaning, and Random Forest classification methods have been applied to a multispectral, gap-filled Sentinel-2 satellite time series from April to December 2020 and the multi-source Ethiopian Crop Type 2020 (EthCT2020) ground reference dataset (Blasch et al., 2024). This dataset with a classification overall accuracy of 80% was developed with the goal to complement the Ethiopian Wheat Rust Early Warning and Advisory System’s baseline data for the disease dispersal and environmentally suitability forecast models as well as building the basis for new information layers regarding the host susceptibility. Overall, the dataset can serve as a baseline input parameter for crop models, climate models, crop disease and pest surveillance and forecasting, and agricultural monitoring in the smallholder cropping systems of Ethiopia.en
dcterms.accessRightsLimited Access
dcterms.bibliographicCitationBlasch, G., Lesne, L., Wolter, J., Alemayehu, Y., Bontemps, S., Hodson, D., & Defourny, P. (2025). National-scale wheat area dataset of Ethiopia for the 2020/21 rainfed cropping seasons. [Dataset]. CIMMYT Research Data & Software Repository Network, V1. https://hdl.handle.net/11529/10549175
dcterms.issued2025-01-14
dcterms.languageen
dcterms.licenseOther
dcterms.publisherInternational Maize and Wheat Improvement Center
dcterms.subjectremote sensing
dcterms.subjectcrops
dcterms.subjectland cover mapping
dcterms.subjectmachine learning
dcterms.subjectwheat
dcterms.subjectfood security
dcterms.typeDataset

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