2019-2022 10-m maize and soybean maps over the United States

<p dir="ltr">High-resolution crop maps over large spatial extents are fundamental to many agricultural applications; however, generating high-quality crop maps consistently across space and time remains a challenge. In this study, we improved a workflow for crop mapping and developed...

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Библиографические подробности
Главный автор:	Haijun Li (21248057) (author)
Другие авторы:	Xiao-peng Song (19067218) (author), Bernard Adusei (21248126) (author), Jeffrey Pickering (13725119) (author), Andre de Lima (17054235) (author), Andrew Poulson (21248129) (author), Antoine Baggett (12409732) (author), Peter Potapov (445720) (author), Ahmad Khan (6067526) (author), Viviana Zalles (12243092) (author), Andres Hernandez-Serna (12409729) (author), Samuel M. Jantz (21248158) (author), Amy H. Pickens (12243086) (author), Carolina Ortiz-Dominguez (21248161) (author), Xinyuan Li (176984) (author), Theodore Kerr (15183832) (author), Zhen Song (412533) (author), Svetlana Turubanova (445721) (author), Eddy Bongwele (21248162) (author), Heritier Koy Kondjo (21248166) (author), Anna Komarova (11904275) (author), Stephen V. Stehman (7809023) (author), Matthew C. Hansen (736234) (author)
Опубликовано:	2025
Предметы:	Agricultural land management Agricultural land planning Agricultural production systems simulation Agricultural spatial analysis and modelling Sustainable agricultural development Land use and environmental planning Maize/Corn Soybean Analysis Ready Data/ARD Random Forest Crop map United States CONUS 10-m High-resolution
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2019-2022 10-m maize and soybean maps over the United States

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