Comprehensive Evaluation of Machine Learning Techniques for Estimating the Responses of Carbon Fluxes to Climatic Forces in Different Terrestrial Ecosystems

Comprehensive Evaluation of Machine Learning Techniques for Estimating the Responses of Carbon Fluxes to Climatic Forces in Different Terrestrial Ecosystems

Accurately estimating the carbon budgets in terrestrial ecosystems ranging from flux towers to regional or global scales is particularly crucial for diagnosing past and future climate change. This research investigated the feasibility of two comparatively advanced machine learning approaches, namely...

Full description

Bibliographic Details
Main Authors: Xianming Dou, Yongguo Yang
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Atmosphere
Subjects:
terrestrial ecosystems
climate change
carbon fluxes
flux towers
machine learning techniques
Online Access:http://www.mdpi.com/2073-4433/9/3/83

Internet

http://www.mdpi.com/2073-4433/9/3/83

Similar Items