Integrating coarse-resolution images and agricultural statistics to generate sub-pixel crop type maps and reconciled area estimates

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dc.creatorHu, Qiong
dc.creatorYin, He
dc.creatorFriedl, Mark A.
dc.creatorYou, Liangzhi
dc.creatorLi, Zhaoliang
dc.creatorTang, Huajun
dc.creatorWu, Wenbin
dc.date2021-11-01
dc.date2024-05-22T12:11:14Z
dc.date2024-05-22T12:11:14Z
dc.date.accessioned2026-06-27T15:38:51Z
dc.identifierhttps://hdl.handle.net/10568/142882
dc.identifier.urihttp://hdl.handle.net/123456789/110490
dc.languageen
dc.publisherElsevier
dc.rightsLimited Access
dc.sourceHu, Qiong; Yin, He; Friedl, Mark A.; You, Liangzhi; Li, Zhaoliang; Tang, Huajun; and Wu, Wenbin. 2021. Integrating coarse-resolution images and agricultural statistics to generate sub-pixel crop type maps and reconciled area estimates. Remote Sensing of Environment 258(June 2021): 112365. https://doi.org/10.1016/j.rse.2021.112365
dc.subjectdata
dc.subjectagricultural production
dc.subjectfeatures
dc.subjectforest cover
dc.subjectarea estimate
dc.subjectimagery
dc.subjectagricultural statistics
dc.titleIntegrating coarse-resolution images and agricultural statistics to generate sub-pixel crop type maps and reconciled area estimates
dc.typeJournal Article

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)