A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth

Y Chu, Y Liu, X Li, Z Liu, H Lu, Y Lu, Z Mao, X Chen… - Atmosphere, 2016 - mdpi.com
This study reviewed the prediction of fine particulate matter (PM2. 5) from satellite aerosol
optical depth (AOD) and summarized the advantages and limitations of these predicting …

Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2. 5

C Lin, Y Li, Z Yuan, AKH Lau, C Li, JCH Fung - Remote Sensing of …, 2015 - Elsevier
Although ground-level monitoring can provide accurate PM 2.5 measurements, it has limited
spatial coverage and resolution. In contrast, satellite-based monitoring can provide aerosol …

A similarity distance-based space-time random forest model for estimating PM2. 5 concentrations over China

S Guan, X Zhang, W Zhao, Y Duan, S Yang… - Atmospheric …, 2023 - Elsevier
China has experienced persistent fine particulate matter (PM 2.5) pollution for the past few
years, which adversely affects both physical and mental health. The availability of high …

Satellite Remote Sensing for Estimating PM2.5 and Its Components

Y Li, S Yuan, S Fan, Y Song, Z Wang, Z Yu, Q Yu… - Current Pollution …, 2021 - Springer
Purpose of Review PM 2.5 satellite remote sensing is the most powerful way to acquire the
PM 2.5 distribution and variation at a large scale with high resolution. Thus, PM 2.5 remote …

Estimating PM2. 5 in Xi'an, China using aerosol optical depth: A comparison between the MODIS and MISR retrieval models

W You, Z Zang, X Pan, L Zhang, D Chen - Science of the Total Environment, 2015 - Elsevier
Satellite measurements have been widely used to estimate particulate matter (PM) on the
ground, which can affect human health adversely. However, such estimation from space is …

The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing

Q Wang, H Feng, H Feng, Y Yu, J Li, E Ning - Scientific reports, 2021 - nature.com
Traffic congestion and smog are hot topics in recent years. This study analyzes the impacts
of road traffic characteristic parameters on urban air quality quantitatively based on aerosol …

Multiscale and multisource data fusion for full-coverage PM2. 5 concentration mapping: Can spatial pattern recognition come with modeling accuracy?

K Bai, K Li, J Guo, NB Chang - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
In spite of a variety of PM 2.5 modeling schemes, general guidance for full-coverage PM 2.5
concentration mapping from satellite observations is still lacking. The current technical gap …

Prediction of hourly ground-level PM2. 5 concentrations 3 days in advance using neural networks with satellite data in eastern China

X Mao, T Shen, X Feng - Atmospheric Pollution Research, 2017 - Elsevier
This study is an attempt to explore the effectiveness of satellite data in predicting hourly PM
2.5 (Respirable particulate matter with aerodynamic diameter below 2.5 μm) concentrations …

Characterization of indoor settled dust and investigation of indoor air quality in different micro-environments

V Sahu, SP Elumalai, S Gautam… - International Journal of …, 2018 - Taylor & Francis
Present study reports the characterization results of settled dust particles in different indoor
micro-environments of an academic institution in India. Field emission scanning electron …

Hourly PM2.5 Estimates from a Geostationary Satellite Based on an Ensemble Learning Algorithm and Their Spatiotemporal Patterns over Central East China

J Liu, F Weng, Z Li, MC Cribb - Remote Sensing, 2019 - mdpi.com
Satellite-derived aerosol optical depths (AODs) have been widely used to estimate surface
fine particulate matter (PM2. 5) concentrations over areas that do not have PM2. 5 …