Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence

Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence

A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time and optimize data usage. The paper analyzes the effects of changes in land cove...

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Bibliographic Details
Main Authors: Anastasiia Kolevatova, Michael A. Riegler, Francesco Cherubini, Xiangping Hu, Hugo L. Hammer
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Big Data and Cognitive Computing
Subjects:
climate science
explainable artificial intelligence
land cover changes
machine learning
uncertainty quantification
Online Access:https://www.mdpi.com/2504-2289/5/4/55

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