Unmasking air quality: A novel image-based approach to align public perception with pollution levels

In the quest to reconcile public perception of air pollution with scientific measurements, our study introduced a pioneering method involving a gradient boost-regression tree model integrating PM2.5 concentration, visibility, and image-based data. Traditional stationary monitoring often falls short...

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Bibliographic Details

Published in:	Environment International
Main Authors:	Tzu-Chi Lin, Shih-Ya Wang, Zhi-Ying Kung, Yi-Han Su, Pei-Te Chiueh, Ta-Chih Hsiao
Format:	Article
Language:	English
Published:	Elsevier 2023-11-01
Subjects:	Perceived visibility Particulate Matter (PM) Image-based data Image feature extraction Air quality
Online Access:	http://www.sciencedirect.com/science/article/pii/S0160412023005627