Comparison of Deep Learning Models for LAI Simulation and Interpretable Hydrothermal Coupling in the Loess Plateau

Comparison of Deep Learning Models for LAI Simulation and Interpretable Hydrothermal Coupling in the Loess Plateau

As the world’s largest loess deposit region, the Loess Plateau’s vegetation dynamics are crucial for its regional water–heat balance and ecosystem functioning. Leaf Area Index (LAI) serves as a key indicator bridging canopy architecture and plant physiological activities. Existing studies have made...

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Bibliographic Details
Main Authors: Junpo Yu, Yajun Si, Wen Zhao, Zeyu Zhou, Jiming Jin, Wenjun Yan, Xiangyu Shao, Zhixiang Xu, Junwei Gan
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Plants
Subjects:
LAI
deep learning
water–heat coupling
vegetation dynamics simulation
Loess Plateau
Online Access:https://www.mdpi.com/2223-7747/14/15/2391
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