Código QR (código de barras bidimensional)

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...

Fuld beskrivelse

Na minha lista:
Principais autores: Junpo Yu, Yajun Si, Wen Zhao, Zeyu Zhou, Jiming Jin, Wenjun Yan, Xiangyu Shao, Zhixiang Xu, Junwei Gan
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-08-01
Serier:Plants
Fag:
LAI
deep learning
water–heat coupling
vegetation dynamics simulation
Loess Plateau
Online adgang:https://www.mdpi.com/2223-7747/14/15/2391
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker