Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data

Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data

Accurate phenological information on sugarcane is crucial for guiding precise cultivation management and enhancing sugar production. Remote sensing offers an efficient approach for large-scale phenology retrieval, but most studies have primarily focused on staple crops. The methods for retrieving th...

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Bibliographic Details
Main Authors: Yingpin Yang, Zhifeng Wu, Dakang Wang, Cong Wang, Xiankun Yang, Yibo Wang, Jinnian Wang, Qiting Huang, Lu Hou, Zongbin Wang, Xu Chang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agriculture
Subjects:
sugarcane
phenology retrieval
time series
remote sensing
spatiotemporal fusion
NDVI
Online Access:https://www.mdpi.com/2077-0472/15/15/1578
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