Tackling climate change with machine learning

D Rolnick, PL Donti, LH Kaack, K Kochanski… - ACM Computing …, 2022 - dl.acm.org
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Satellite remote sensing of surface urban heat islands: Progress, challenges, and perspectives

D Zhou, J **
B Heung, HC Ho, J Zhang, A Knudby, CE Bulmer… - Geoderma, 2016 - Elsevier
Abstract Machine-learning is the automated process of uncovering patterns in large datasets
using computer-based statistical models, where a fitted model may then be used for …

Fine-scale modeling of the urban heat island: A comparison of multiple linear regression and random forest approaches

GY Oukawa, P Krecl, AC Targino - Science of the total environment, 2022 - Elsevier
Characterizing the spatiotemporal variability of the Urban Heat Island (UHI) and its drivers is
a key step in leveraging thermal comfort to create not only healthier cities, but also to …

[HTML][HTML] Infrared thermography in the built environment: A multi-scale review

M Martin, A Chong, F Biljecki, C Miller - Renewable and sustainable energy …, 2022 - Elsevier
The paper presents a review on major contributions in infrared thermography to study the
built environment at multiple scales. To elaborate the review, hundreds of studies conducted …