A Study of Forest Phenology Prediction Based on GRU Models

A Study of Forest Phenology Prediction Based on GRU Models

Investigating forest phenology prediction is a key parameter for assessing the relationship between climate and environmental changes. Traditional machine learning models are not good at capturing long-term dependencies due to the problem of vanishing gradients. In contrast, the Gated Recurrent Unit...

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Bibliographic Details
Main Authors:	Peng Guan, Lichen Zhu, Yili Zheng
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Applied Sciences
Subjects:	green excess index Gated Recurrent Unit model prediction forest phenology
Online Access:	https://www.mdpi.com/2076-3417/13/8/4898

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