National Land Use Regression Model for NO2 Using Street View Imagery and Satellite Observations
Land use regression (LUR) models are widely applied to estimate intra-urban air pollution
concentrations. National-scale LURs typically employ predictors from multiple curated …
concentrations. National-scale LURs typically employ predictors from multiple curated …
Prediction of short-term ultrafine particle exposures using real-time street-level images paired with air quality measurements
Within-city ultrafine particle (UFP) concentrations vary sharply since they are influenced by
various factors. We developed prediction models for short-term UFP exposures using street …
various factors. We developed prediction models for short-term UFP exposures using street …
National empirical models of air pollution using microscale measures of the urban environment
National-scale empirical models of air pollution (eg, Land Use Regression) rely on predictor
variables (eg, population density, land cover) at different geographic scales. These models …
variables (eg, population density, land cover) at different geographic scales. These models …
[HTML][HTML] Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and …
Background Concentrations of outdoor ultrafine particles (UFP;< 0.1 µm) and black carbon
(BC) can vary greatly within cities and long-term exposures to these pollutants have been …
(BC) can vary greatly within cities and long-term exposures to these pollutants have been …
Predicting within-city spatial variations in outdoor ultrafine particle and black carbon concentrations in Bucaramanga, Colombia: a hybrid approach using open-source …
Outdoor ultrafine particles (UFP,< 0.1 μm) and black carbon (BC) vary greatly within cities
and may have adverse impacts on human health. In this study, we used a hybrid approach …
and may have adverse impacts on human health. In this study, we used a hybrid approach …
Urban air-quality estimation using visual cues and a deep convolutional neural network in bengaluru (bangalore), india
A Feldman, S Kendler, J Marshall… - Environmental …, 2023 - ACS Publications
Mobile monitoring provides robust measurements of air pollution. However, resource
constraints often limit the number of measurements so that assessments cannot be obtained …
constraints often limit the number of measurements so that assessments cannot be obtained …
[HTML][HTML] Surveillance-image-based outdoor air quality monitoring
X Wang, M Wang, X Liu, Y Mao, Y Chen… - Environmental Science and …, 2024 - Elsevier
Air pollution threatens human health, necessitating effective and convenient air quality
monitoring. Recently, there has been a growing interest in using camera images for air …
monitoring. Recently, there has been a growing interest in using camera images for air …
[HTML][HTML] Long-Term Exposure to Outdoor Ultrafine Particles and Black Carbon and Effects on Mortality in Montreal and Toronto, Canada
BACKGROUND There remain important limitations and challenges when estimating long-
term air pollution exposure for use in epidemiological studies. In 2019, the Health Effects …
term air pollution exposure for use in epidemiological studies. In 2019, the Health Effects …
What you see is what you breathe? estimating air pollution spatial variation using Street-Level imagery
High spatial resolution information on urban air pollution levels is unavailable in many areas
globally, partially due to the high input data needs of existing estimation approaches. We …
globally, partially due to the high input data needs of existing estimation approaches. We …
High-Precision Microscale Particulate Matter Prediction in Diverse Environments Using a Long Short-Term Memory Neural Network and Street View Imagery
In this study, we propose a novel long short-term memory (LSTM) neural network model that
leverages color features (HSV: hue, saturation, value) extracted from street images to …
leverages color features (HSV: hue, saturation, value) extracted from street images to …