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

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...

Full description

Saved in:
Bibliographic Details
Main Author: Haijun Li (21248057) (author)
Other Authors: 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)
Published: 2025
Subjects:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items