Mapping major land use types in Nandi County using remote sensing and machine learning

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dc.creatorGuo, Zhe
dc.creatorWalter, Kibet
dc.date2023-12-04
dc.date2024-01-05T20:54:13Z
dc.date2024-01-05T20:54:13Z
dc.date.accessioned2026-06-27T15:20:40Z
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/137262
dc.identifier.urihttp://hdl.handle.net/123456789/101672
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.rightsOpen Access
dc.sourceGuo, Zhe; and Walter, Kibet. 2023. Mapping major land use types in Nandi County using remote sensing and machine learning. Presentation. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/137262
dc.subjectmachine learning
dc.subjectland use
dc.subjectremote sensing
dc.subjectagriculture
dc.titleMapping major land use types in Nandi County using remote sensing and machine learning
dc.typePresentation

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)