Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer

A timely and detailed crop-specific land cover map can support many agricultural applications and decision makings. However, in-season crop mapping over a large area is still challenging due to the insufficiency of ground truth in the early stage of a growing season. To address this issue, this pape...

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Bibliographic Details
Main Authors: Chen Zhang, Liping Di, Pengyu Hao, Zhengwei Yang, Li Lin, Haoteng Zhao, Liying Guo
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243421000817