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In-Season Sugarcane Mapping in the U.S. and Brazil Using Time-Invariant Phenological Features

As the world’s largest sugar crop by production volume, sugarcane is a major economic resource used for both food and industrial materials worldwide. Timely sugarcane cultivation mapping will provide spatial distribution information on sugarcane fields and support further decision-making. Tra...

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Hoofdauteurs: Hui Li, Liping Di, Ruixin Yang, John J. Qu, Daniel Q. Tong, Liying Guo, Eugene G. Yu, Ziao Liu, Bosen Shao, Gavin Middleton
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2026-01-01
Reeks:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Onderwerpen:
Linear Cosine Regression (LCR)
phenological features
transfer learning
Cropland Data Layer (CDL)
European Space Agency (ESA)
Online toegang:https://ieeexplore.ieee.org/document/11362946/
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