Modeling vegetation greenness and its climate sensitivity with deep‐learning technology

Modeling vegetation greenness and its climate sensitivity with deep‐learning technology

Abstract Climate sensitivity of vegetation has long been explored using statistical or process‐based models. However, great uncertainties still remain due to the methodologies’ deficiency in capturing the complex interactions between climate and vegetation. Here, we developed global gridded climate–...

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Bibliographic Details
Main Authors: Zhiting Chen, Hongyan Liu, Chongyang Xu, Xiuchen Wu, Boyi Liang, Jing Cao, Deliang Chen
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:Ecology and Evolution
Subjects:
climate change
climate sensitivity
deep learning
long short‐term memory network
vegetation greenness
vegetation–climate relationship
Online Access:https://doi.org/10.1002/ece3.7564

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