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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מידע ביבליוגרפי

Principais autores:	Hui Li, Liping Di, Ruixin Yang, John J. Qu, Daniel Q. Tong, Liying Guo, Eugene G. Yu, Ziao Liu, Bosen Shao, Gavin Middleton
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2026-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Linear Cosine Regression (LCR) phenological features transfer learning Cropland Data Layer (CDL) European Space Agency (ESA)
גישה מקוונת:	https://ieeexplore.ieee.org/document/11362946/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!