Impacts of Urbanization on Land Surface Temperature and Water Quality

Weng, Qihao

doi:10.1002/9781119307303.ch11

Cited by 1 publication

(1 citation statement)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Obviously, different LC changes have a unique effect on climate [25]. Most publications are focused on some individual LC changes, for example, deforestation [24,26] or urbanization effects [27,28]. However, this question is rarely studied in a broad perspective, taking into account all types of LC transitions simultaneously.…”

Section: Introductionmentioning

confidence: 99%

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

Kolevatova

Riegler

Cherubini

et al. 2021

BDCC

View full text Add to dashboard Cite

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 cover (LC), such as deforestation or urbanization, on local climate. Along with green house gas emission, LC changes are known to be important causes of climate change. ML methods were trained to learn the relation between LC changes and temperature changes. The results showed that random forest (RF) outperformed other ML methods, and especially linear regression models representing current practice in the literature. Explainable artificial intelligence (XAI) was further used to interpret the RF method and analyze the impact of different LC changes on temperature. The results mainly agree with the climate science literature, but also reveal new and interesting findings, demonstrating that ML methods in combination with XAI can be useful in analyzing the climate effects of LC changes. All parts of the analysis pipeline are explained including data pre-processing, feature extraction, ML training, performance evaluation, and XAI.

show abstract